From ad08347ff57640fccb5a1f17ab456430cb728cbb Mon Sep 17 00:00:00 2001 From: Dafydd Date: Tue, 15 Oct 2024 11:06:44 -0700 Subject: [PATCH 01/31] add plot to notebook 2, update installation.md --- docs/2_importing_and_running_a_case.ipynb | 74 ++++++++++++++++++++++- docs/installation.md | 2 +- 2 files changed, 73 insertions(+), 3 deletions(-) diff --git a/docs/2_importing_and_running_a_case.ipynb b/docs/2_importing_and_running_a_case.ipynb index a57f19b..214db23 100644 --- a/docs/2_importing_and_running_a_case.ipynb +++ b/docs/2_importing_and_running_a_case.ipynb @@ -782,6 +782,76 @@ "example_case_1.post_run()" ] }, + { + "cell_type": "markdown", + "id": "b3d096f8-0b19-4a00-a9dc-1222a54abdd3", + "metadata": {}, + "source": [ + "## A quick look at the output\n", + "\n", + "In the above post-processing step, we can see that the ROMS run produced several \"restart\" files (`ROMS_MARBL_rst.*`) that can be used by ROMS to restart the run.\n", + "In the [next notebook](https://c-star.readthedocs.io/en/latest/3_restarting_and_continuing_a_case.html), we will use C-Star to restart and continue our Case, and C-Star will find and use these files to do so.\n", + "\n", + "For now, let's produce a plot comparing the initial condition we started with with the final restart file (which will serve as the initial condition for our next notebook):" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "0eeb0d73-1120-4216-b5be-2e909662d853", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import xarray as xr\n", + "import matplotlib.pyplot as plt\n", + "import cartopy.crs as ccrs\n", + "import cartopy.feature as cfeature\n", + "\n", + "grd_ds = xr.open_dataset(example_case_2.caseroot / 'input_datasets/ROMS/roms_grd.nc') # Our ROMS grid file for lat and lon data\n", + "ini_ds = xr.open_dataset(example_case_2.caseroot / 'input_datasets/ROMS/roms_ini.nc') # Our initial condition file\n", + "rst_ds = xr.open_dataset(example_case_2.caseroot / 'output/ROMS_MARBL_rst.20120103120000.nc') # Our restart file\n", + "\n", + "# Select the variable you want to plot (replace 'your_variable' with the variable name)\n", + "var=\"temp\"\n", + "ini_data = ini_ds[var][0,-1,:,:]\n", + "rst_data = rst_ds[var][0,-1,:,:]\n", + "\n", + "# Create a figure and axes using the PlateCarree projection\n", + "fig, ax = plt.subplots(1,2, subplot_kw={'projection': ccrs.PlateCarree()})\n", + "\n", + "# Plot the data, using `pcolormesh` and providing lat/lon for the coordinates\n", + "cmap=plt.get_cmap('Spectral_r')\n", + "cmap.set_under('k')\n", + "p0=ax[0].pcolormesh(grd_ds.lon_rho, grd_ds.lat_rho, ini_data, transform=ccrs.PlateCarree(), cmap=cmap,vmin=7,vmax=12)\n", + "p1=ax[1].pcolormesh(grd_ds.lon_rho, grd_ds.lat_rho, rst_data, transform=ccrs.PlateCarree(), cmap=cmap,vmin=7,vmax=12)\n", + "\n", + "# Add coastlines and land mask (the land mask can be added using a feature)\n", + "[a.add_feature(cfeature.COASTLINE, linewidth=1) for a in ax]\n", + "[a.add_feature(cfeature.LAND, facecolor='k', zorder=100) for a in ax]\n", + "[a.set_xlim(-5.8,-2.3) for a in ax]\n", + "\n", + "# Add a colorbar\n", + "ax[0].set_title(\"January 1st (initial condition file)\")\n", + "ax[1].set_title(\"January 3rd (restart file)\")\n", + "plt.colorbar(p1, ax=ax, orientation='horizontal', pad=0.05,label=\"Sea surface temperature (°C)\")\n", + "fig.set_size_inches(15,8)\n", + "fig.show()\n" + ] + }, { "cell_type": "markdown", "id": "ebec595d-085e-4f9b-8204-6a3924b68eb9", @@ -800,9 +870,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "cstar_env", "language": "python", - "name": "python3" + "name": "cstar_env" }, "language_info": { "codemirror_mode": { diff --git a/docs/installation.md b/docs/installation.md index f80aada..b387306 100644 --- a/docs/installation.md +++ b/docs/installation.md @@ -25,6 +25,6 @@ conda activate cstar_env Finally, install `C-Star` in the same environment: ``` -pip install -e . +pip install . ``` From ee433c0102009ed88befc36ad12c5beb7b09d259 Mon Sep 17 00:00:00 2001 From: Dafydd Date: Tue, 15 Oct 2024 11:08:08 -0700 Subject: [PATCH 02/31] update comments in notebook 2 plot cell --- docs/2_importing_and_running_a_case.ipynb | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/docs/2_importing_and_running_a_case.ipynb b/docs/2_importing_and_running_a_case.ipynb index 214db23..b1b1748 100644 --- a/docs/2_importing_and_running_a_case.ipynb +++ b/docs/2_importing_and_running_a_case.ipynb @@ -825,21 +825,20 @@ "ini_ds = xr.open_dataset(example_case_2.caseroot / 'input_datasets/ROMS/roms_ini.nc') # Our initial condition file\n", "rst_ds = xr.open_dataset(example_case_2.caseroot / 'output/ROMS_MARBL_rst.20120103120000.nc') # Our restart file\n", "\n", - "# Select the variable you want to plot (replace 'your_variable' with the variable name)\n", "var=\"temp\"\n", "ini_data = ini_ds[var][0,-1,:,:]\n", "rst_data = rst_ds[var][0,-1,:,:]\n", "\n", - "# Create a figure and axes using the PlateCarree projection\n", + "# Create figure and axes\n", "fig, ax = plt.subplots(1,2, subplot_kw={'projection': ccrs.PlateCarree()})\n", "\n", - "# Plot the data, using `pcolormesh` and providing lat/lon for the coordinates\n", + "# Plot the data\n", "cmap=plt.get_cmap('Spectral_r')\n", "cmap.set_under('k')\n", "p0=ax[0].pcolormesh(grd_ds.lon_rho, grd_ds.lat_rho, ini_data, transform=ccrs.PlateCarree(), cmap=cmap,vmin=7,vmax=12)\n", "p1=ax[1].pcolormesh(grd_ds.lon_rho, grd_ds.lat_rho, rst_data, transform=ccrs.PlateCarree(), cmap=cmap,vmin=7,vmax=12)\n", "\n", - "# Add coastlines and land mask (the land mask can be added using a feature)\n", + "# Add coastlines and land mask \n", "[a.add_feature(cfeature.COASTLINE, linewidth=1) for a in ax]\n", "[a.add_feature(cfeature.LAND, facecolor='k', zorder=100) for a in ax]\n", "[a.set_xlim(-5.8,-2.3) for a in ax]\n", From 9b35542d8025992464a6dc88d1eb7c3ebec63c94 Mon Sep 17 00:00:00 2001 From: Dafydd Date: Tue, 15 Oct 2024 11:57:17 -0700 Subject: [PATCH 03/31] update plots in 2 and 3 notebooks --- docs/2_importing_and_running_a_case.ipynb | 18 +++++---- docs/3_restarting_and_continuing_a_case.ipynb | 40 ++++++++++++------- 2 files changed, 35 insertions(+), 23 deletions(-) diff --git a/docs/2_importing_and_running_a_case.ipynb b/docs/2_importing_and_running_a_case.ipynb index b1b1748..8596ba7 100644 --- a/docs/2_importing_and_running_a_case.ipynb +++ b/docs/2_importing_and_running_a_case.ipynb @@ -792,12 +792,14 @@ "In the above post-processing step, we can see that the ROMS run produced several \"restart\" files (`ROMS_MARBL_rst.*`) that can be used by ROMS to restart the run.\n", "In the [next notebook](https://c-star.readthedocs.io/en/latest/3_restarting_and_continuing_a_case.html), we will use C-Star to restart and continue our Case, and C-Star will find and use these files to do so.\n", "\n", - "For now, let's produce a plot comparing the initial condition we started with with the final restart file (which will serve as the initial condition for our next notebook):" + "For now, let's produce a plot comparing the initial condition we started with with the final restart file (which will serve as the initial condition for our next notebook).\n", + "\n", + "C-Star doesn't currently support plots of model data, so we will have to manually produce these using the model files. Don't worry too much about understanding the model's naming conventions in this code cell (C-Star will usually take care of these things for you) - this is just a visual demonstration!" ] }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 69, "id": "0eeb0d73-1120-4216-b5be-2e909662d853", "metadata": { "tags": [] @@ -805,7 +807,7 @@ "outputs": [ { "data": { - "image/png": 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" ] @@ -826,21 +828,21 @@ "rst_ds = xr.open_dataset(example_case_2.caseroot / 'output/ROMS_MARBL_rst.20120103120000.nc') # Our restart file\n", "\n", "var=\"temp\"\n", - "ini_data = ini_ds[var][0,-1,:,:]\n", - "rst_data = rst_ds[var][0,-1,:,:]\n", + "ini_data = ini_ds[var].isel(s_rho=-1,ocean_time=0) # s_rho is the vertical level, ROMS is \"upside down\", so this is the surface\n", + "rst_data = rst_ds[var].isel(s_rho=-1,time=0)\n", "\n", "# Create figure and axes\n", "fig, ax = plt.subplots(1,2, subplot_kw={'projection': ccrs.PlateCarree()})\n", "\n", "# Plot the data\n", "cmap=plt.get_cmap('Spectral_r')\n", - "cmap.set_under('k')\n", - "p0=ax[0].pcolormesh(grd_ds.lon_rho, grd_ds.lat_rho, ini_data, transform=ccrs.PlateCarree(), cmap=cmap,vmin=7,vmax=12)\n", + "cmap.set_under('grey')\n", + "cmap.set_bad('grey')\n", + "p0=ax[0].pcolormesh(grd_ds.lon_rho, grd_ds.lat_rho, np.ma.masked_where(grd_ds.mask_rho==0,ini_data), transform=ccrs.PlateCarree(), cmap=cmap,vmin=7,vmax=12)\n", "p1=ax[1].pcolormesh(grd_ds.lon_rho, grd_ds.lat_rho, rst_data, transform=ccrs.PlateCarree(), cmap=cmap,vmin=7,vmax=12)\n", "\n", "# Add coastlines and land mask \n", "[a.add_feature(cfeature.COASTLINE, linewidth=1) for a in ax]\n", - "[a.add_feature(cfeature.LAND, facecolor='k', zorder=100) for a in ax]\n", "[a.set_xlim(-5.8,-2.3) for a in ax]\n", "\n", "# Add a colorbar\n", diff --git a/docs/3_restarting_and_continuing_a_case.ipynb b/docs/3_restarting_and_continuing_a_case.ipynb index 878f131..9ac0fab 100644 --- a/docs/3_restarting_and_continuing_a_case.ipynb +++ b/docs/3_restarting_and_continuing_a_case.ipynb @@ -415,18 +415,22 @@ "metadata": {}, "source": [ "## Some basic analysis of the output\n", - "Now we've finished running the model, we have a month of output to take a look at:" + "Now we've finished running the model, we have a month of output to take a look at. \n", + "\n", + "C-Star doesn't currently support plots of model data, so we will have to manually produce plots from the model files. Don't worry too much about understanding the model's naming conventions in this code cell (C-Star will usually take care of these things for you) - this is just a visual demonstration!" ] }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 37, "id": "26887f43-fa54-4536-9026-212ffd1555cc", - "metadata": {}, + "metadata": { + "tags": [] + }, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -438,9 +442,13 @@ "source": [ "import numpy as np\n", "import xarray as xr\n", + "import cartopy.crs as ccrs\n", "import datetime as dt\n", + "import cartopy.feature as cfeature\n", "\n", "BGC_DS = xr.open_dataset(example_case_2.caseroot / 'output/ROMS_MARBL_bgc.20120103120000.nc')\n", + "GRD_DS = xr.open_dataset(example_case_2.caseroot / 'input_datasets/ROMS/roms_grd.nc')\n", + "lon,lat=GRD_DS.lon_rho,GRD_DS.lat_rho\n", "output_time=[dt.datetime(2000,1,1)+dt.timedelta(seconds=t) for t in BGC_DS.ocean_time.values]\n", "\n", "var = 'DOC'\n", @@ -457,14 +465,14 @@ "\n", "\n", "fig = plt.figure()\n", - "CMAP = plt.colormaps['Spectral_r'].__copy__()\n", - "CMAP.set_under('k')\n", + "cmap=plt.get_cmap('Spectral_r')\n", + "cmap.set_under('grey')\n", "\n", "gs = GridSpec(3, 2, figure=fig, hspace=0.5)\n", "\n", "# time series\n", "ax1 = fig.add_subplot(gs[0, :])\n", - "#ax1.plot(3 + BGC_DA.time * 3600 * 6 / 86400, BGC_DA[:,15,10])\n", + "\n", "ax1.plot(output_time,BGC_DA[:,j_idx,i_idx])\n", "ax1.set_xlim(output_time[0],output_time[-1])\n", "ax1.set_xlabel('time')\n", @@ -473,20 +481,22 @@ "\n", "\n", "# Maps\n", - "ax2 = fig.add_subplot(gs[1:, 0])\n", - "ax3 = fig.add_subplot(gs[1:, 1])\n", + "ax2 = fig.add_subplot(gs[1:, 0],projection=ccrs.PlateCarree())\n", + "ax3 = fig.add_subplot(gs[1:, 1],projection=ccrs.PlateCarree())\n", "\n", "VMIN = np.min(BGC_DA.values[BGC_DA.values > 0])\n", "VMAX = np.max(BGC_DA.values[BGC_DA.values > 0])\n", "\n", - "p2 = ax2.pcolormesh(BGC_DA.isel(time=0).values, vmin=VMIN, vmax=VMAX, cmap=CMAP)\n", - "p3 = ax3.pcolormesh(BGC_DA.isel(time=-1).values, vmin=VMIN, vmax=VMAX, cmap=CMAP)\n", + "p2 = ax2.pcolormesh(lon,lat,BGC_DA.isel(time=0).values, vmin=VMIN, vmax=VMAX, cmap=CMAP)\n", + "p3 = ax3.pcolormesh(lon,lat,BGC_DA.isel(time=-1).values, vmin=VMIN, vmax=VMAX, cmap=CMAP)\n", "[a.set_xticks([]) for a in [ax2, ax3]]\n", "[a.set_yticks([]) for a in [ax2, ax3]]\n", + "[a.set_xlim(-5.8,-2.3) for a in [ax2,ax3]]\n", "ax2.set_title(\"\")\n", - "ax2.plot(i_idx, j_idx, 'kx')\n", - "ax3.plot(i_idx, j_idx, 'kx')\n", + "ax2.plot(lon[j_idx,i_idx].values-360, lat[j_idx,i_idx].values, 'kx')\n", + "ax3.plot(lon[j_idx,i_idx].values-360, lat[j_idx,i_idx].values, 'kx')\n", "\n", + "[a.add_feature(cfeature.COASTLINE, linewidth=1) for a in [ax3,ax2]]\n", "fig.colorbar(p2, ax=ax2)\n", "fig.colorbar(p3, ax=ax3)\n", "\n", @@ -497,9 +507,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "cstar_env", "language": "python", - "name": "python3" + "name": "cstar_env" }, "language_info": { "codemirror_mode": { From 700ab04d91ded9ac10b8993c80118aae4fb4605e Mon Sep 17 00:00:00 2001 From: Dafydd Date: Tue, 15 Oct 2024 12:00:30 -0700 Subject: [PATCH 04/31] remove html cell from 4 --- docs/4_preparing_roms_input_datasets.ipynb | 20 ++------------------ 1 file changed, 2 insertions(+), 18 deletions(-) diff --git a/docs/4_preparing_roms_input_datasets.ipynb b/docs/4_preparing_roms_input_datasets.ipynb index ebc555a..d397b86 100644 --- a/docs/4_preparing_roms_input_datasets.ipynb +++ b/docs/4_preparing_roms_input_datasets.ipynb @@ -1,21 +1,5 @@ { "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "5bf3e613-e599-4d44-ab0a-e2917c7b22cb", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "%load_ext autoreload\n", - "%autoreload 2\n", - "\n", - "from IPython.display import display, HTML, Javascript\n", - "display(HTML(''''''))" - ] - }, { "cell_type": "markdown", "id": "60bb804f-c1ad-4a29-9983-016c9ba51921", @@ -8495,7 +8479,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "NERSC Python", "language": "python", "name": "python3" }, @@ -8509,7 +8493,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.0" + "version": "3.11.7" } }, "nbformat": 4, From dcf77e2cdee4f9d6d89f0b535cd56e61d47a2f59 Mon Sep 17 00:00:00 2001 From: Dafydd Date: Tue, 15 Oct 2024 13:08:51 -0700 Subject: [PATCH 05/31] minor tweaks --- docs/2_importing_and_running_a_case.ipynb | 1 + docs/3_restarting_and_continuing_a_case.ipynb | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/2_importing_and_running_a_case.ipynb b/docs/2_importing_and_running_a_case.ipynb index 8596ba7..8b83779 100644 --- a/docs/2_importing_and_running_a_case.ipynb +++ b/docs/2_importing_and_running_a_case.ipynb @@ -92,6 +92,7 @@ "metadata": {}, "source": [ "We can see in the printout:\n", + "\n", "- the values of the three parameters we provided (`caseroot`, `start_date`, `end_date`)\n", "- the valid date range in which we can run this `Case`, as defined in the blueprint file (`valid_start_date`, `valid_end_date`)\n", "- the blueprint file from which the `Case` was created\n", diff --git a/docs/3_restarting_and_continuing_a_case.ipynb b/docs/3_restarting_and_continuing_a_case.ipynb index 9ac0fab..5c08e80 100644 --- a/docs/3_restarting_and_continuing_a_case.ipynb +++ b/docs/3_restarting_and_continuing_a_case.ipynb @@ -8,7 +8,7 @@ "# Restarting & continuing a `Case`\n", "In this notebook we will:\n", "\n", - "- Take the Case we ran for two days (2012-01-01 to 2012-01-03) in the [previous notebook](https://c-star.readthedocs.io/en/latest/1_building_and_exporting_a_case.html) and create a new Case that picks up where it ends (`Case.restart()`)\n", + "- Take the Case we ran for two days (2012-01-01 to 2012-01-03) in the [previous notebook](https://c-star.readthedocs.io/en/latest/2_importing_and_running_a_case.html) and create a new Case that picks up where it ends (`Case.restart()`)\n", "- Run this second case with a larger time step for the remainder of the month of January 2012\n", "- Produce a basic plot of the output\n" ] From b9c3ac3e1497c76efbc3dcca62ce5eb6a3eeab4d Mon Sep 17 00:00:00 2001 From: Dafydd Date: Tue, 15 Oct 2024 13:45:58 -0700 Subject: [PATCH 06/31] add note about scheduler emails --- docs/2_importing_and_running_a_case.ipynb | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/docs/2_importing_and_running_a_case.ipynb b/docs/2_importing_and_running_a_case.ipynb index 8b83779..1841394 100644 --- a/docs/2_importing_and_running_a_case.ipynb +++ b/docs/2_importing_and_running_a_case.ipynb @@ -718,7 +718,9 @@ "metadata": {}, "source": [ "### C-Star currently doesn't support monitoring of jobs handled by a scheduler, so we can use a bash cell to do this manually:\n", - "Things can sit in the queue on Perlmutter for a while, so this might be a good time for a break" + "Things can sit in the queue on Perlmutter for a while, so this might be a good time for a break. \n", + "\n", + "You should receive an email to let you know when the job starts and ends. **Do not continue until you receive the second email!**" ] }, { From 26729462c92c65750c51f371e32fc4741451bd58 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=80=9CDafydd?= <“dafydd_stephenson@hotmail.com”> Date: Tue, 15 Oct 2024 16:22:39 -0600 Subject: [PATCH 07/31] merge conftest.py into a single file --- conftest.py | 32 -------------------------------- cstar/tests/conftest.py | 33 +++++++++++++++++++++++++++++++++ 2 files changed, 33 insertions(+), 32 deletions(-) delete mode 100644 conftest.py diff --git a/conftest.py b/conftest.py deleted file mode 100644 index 19ce4ba..0000000 --- a/conftest.py +++ /dev/null @@ -1,32 +0,0 @@ -import builtins -from contextlib import contextmanager -from pathlib import Path -import pytest - - -@pytest.fixture -def mock_user_input(): - """ - Monkeypatch which will automatically respond to any call for input. - - Use it like this: - - ``` - def some_test(mock_user_input): - with mock_user_input("yes"): - assert input("Enter your choice: ") == "yes" - ``` - """ - @contextmanager - def _mock_input(input_string): - original_input = builtins.input - def mock_input_function(_): - return input_string - builtins.input = mock_input_function - try: - yield - finally: - builtins.input = original_input - - return _mock_input - diff --git a/cstar/tests/conftest.py b/cstar/tests/conftest.py index 9c06b6e..2bf8304 100644 --- a/cstar/tests/conftest.py +++ b/cstar/tests/conftest.py @@ -1,3 +1,36 @@ from cstar.tests.roms.fixtures import fetch_roms_tools_source_data # noqa: F401 from cstar.tests.roms.fixtures import fetch_remote_test_case_data # noqa: F401 from cstar.tests.blueprints.fixtures import modify_template_blueprint # noqa : F401 + +import builtins +from contextlib import contextmanager +import pytest + + +@pytest.fixture +def mock_user_input(): + """Monkeypatch which will automatically respond to any call for input. + + Use it like this: + + ``` + def some_test(mock_user_input): + with mock_user_input("yes"): + assert input("Enter your choice: ") == "yes" + ``` + """ + + @contextmanager + def _mock_input(input_string): + original_input = builtins.input + + def mock_input_function(_): + return input_string + + builtins.input = mock_input_function + try: + yield + finally: + builtins.input = original_input + + return _mock_input From 2e3c98b8fcc7895e78b0b6ef42f6b7f1f0e376b5 Mon Sep 17 00:00:00 2001 From: Dafydd Date: Tue, 15 Oct 2024 15:23:39 -0700 Subject: [PATCH 08/31] more changes to docs --- docs/1_building_and_exporting_a_case.ipynb | 74 +++++++++++----------- docs/2_importing_and_running_a_case.ipynb | 50 ++++++++++----- docs/4_preparing_roms_input_datasets.ipynb | 4 +- 3 files changed, 72 insertions(+), 56 deletions(-) diff --git a/docs/1_building_and_exporting_a_case.ipynb b/docs/1_building_and_exporting_a_case.ipynb index 50bbd04..8eca13d 100644 --- a/docs/1_building_and_exporting_a_case.ipynb +++ b/docs/1_building_and_exporting_a_case.ipynb @@ -21,7 +21,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "id": "f1d2251a-8687-4feb-bafc-5e1d82460af3", "metadata": { "tags": [] @@ -69,7 +69,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "c19986ee-6f21-41df-b0bb-8604ba25fdb9", "metadata": { "tags": [] @@ -82,7 +82,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "id": "fe00d6d5-c203-4174-b02d-52fb5d8d8ce4", "metadata": { "tags": [] @@ -102,7 +102,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "id": "28cb3e6d-78c1-45a6-bae8-aea3fac47835", "metadata": { "tags": [] @@ -116,7 +116,7 @@ "-------------\n", "source_repo : https://github.com/CESR-lab/ucla-roms.git (default)\n", "checkout_target : main (corresponding to hash 246c11fa537145ba5868f2256dfb4964aeb09a25) (default)\n", - "local_config_status: 3 (Environment variable ROMS_ROOT is not present and it is assumed the base model is not installed locally)\n" + "local_config_status: 2 (Environment variable ROMS_ROOT is present, points to the correct repository remote, but is checked out at the wrong hash)\n" ] } ], @@ -126,7 +126,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "id": "5c681aa1-0cdd-4b6a-b1b4-91bce6bd98ec", "metadata": { "tags": [] @@ -140,7 +140,7 @@ "--------------\n", "source_repo : https://github.com/marbl-ecosys/MARBL.git (default)\n", "checkout_target : marbl0.45.0 (corresponding to hash 6e6b2f7c32ac5427e6cf46de4222973b8bcaa3d9)\n", - "local_config_status: 3 (Environment variable MARBL_ROOT is not present and it is assumed the base model is not installed locally)\n" + "local_config_status: 0 (Environment variable MARBL_ROOT is present, points to the correct repository remote, and is checked out at the correct hash)\n" ] } ], @@ -171,7 +171,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "id": "c256a2ce-1742-4747-a515-f845073a49a4", "metadata": { "tags": [] @@ -183,7 +183,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "id": "8ab3bf2f-0066-457f-a484-697ab5b04637", "metadata": { "tags": [] @@ -245,7 +245,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "id": "360fdd39-0012-4add-b2cb-73dee1c17511", "metadata": { "tags": [] @@ -314,7 +314,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "id": "4f20a4bc-28cb-46a5-9a29-0b33515be140", "metadata": { "tags": [] @@ -326,7 +326,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "id": "02c2bf05-15a0-45b5-bd1e-16a0032b5b1e", "metadata": { "tags": [] @@ -394,7 +394,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "id": "680420f2-2105-4907-ae4a-3e78e11ed336", "metadata": { "tags": [] @@ -431,7 +431,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "id": "bd717504-7e5a-4217-8b0c-d689664f04a9", "metadata": { "tags": [] @@ -469,7 +469,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "id": "30955e95-7c36-4d0d-a2a4-fc30ef1fc91e", "metadata": { "tags": [] @@ -491,7 +491,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "id": "b3f01b55-9a80-4b18-a74b-59ffea7f2758", "metadata": { "tags": [] @@ -525,7 +525,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "id": "1533dbbf-593b-452d-9d72-120c4eb65a2d", "metadata": { "tags": [] @@ -605,7 +605,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 16, "id": "def7ac3e-3de8-4ca9-806d-b5ac385a437c", "metadata": { "tags": [] @@ -617,7 +617,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 17, "id": "1a32ad6f-8701-416f-ae50-598f7650cf5e", "metadata": { "tags": [] @@ -632,15 +632,15 @@ "Name: roms_marbl_example_cstar_case\n", "caseroot: /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/roms_marbl_example_cstar_case\n", "start_date: 2012-01-01 12:00:00\n", - "end_date: 2012-01-31 12:00:00\n", + "end_date: 2012-12-31 12:00:00\n", "Is setup: False\n", "Valid date range:\n", "valid_start_date: 2012-01-01 12:00:00\n", - "valid_end_date: 2012-01-31 12:00:00\n", + "valid_end_date: 2012-12-31 12:00:00\n", "\n", "It is built from the following Components (query using Case.components): \n", - " \n", - " \n" + " \n", + " \n" ] }, { @@ -649,18 +649,18 @@ "text": [ "/global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/case.py:140: UserWarning: start_date not provided. Defaulting to earliest valid start date: 20120101 12:00:00.\n", " warnings.warn(\n", - "/global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/case.py:165: UserWarning: end_date not provided.Defaulting to latest valid end date: 20120131 12:00:00\n", + "/global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/case.py:165: UserWarning: end_date not provided.Defaulting to latest valid end date: 20121231 12:00:00\n", " warnings.warn(\n" ] } ], "source": [ "roms_marbl_case = Case(\n", - " components=[roms_component, marbl_component],\n", + " components=[marbl_component, roms_component],\n", " name='roms_marbl_example_cstar_case',\n", " caseroot = \"../examples/roms_marbl_example_cstar_case\",\n", " valid_start_date = \"20120101 12:00:00\",\n", - " valid_end_date = \"20120131 12:00:00\"\n", + " valid_end_date = \"20121231 12:00:00\"\n", ")\n", "print(roms_marbl_case)" ] @@ -676,7 +676,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 18, "id": "80f5664b-2403-4582-88a1-a85c3bb4a369", "metadata": { "tags": [] @@ -733,7 +733,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 19, "id": "868f69f3-9f34-4105-942d-1926c15f96e5", "metadata": { "tags": [] @@ -753,7 +753,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 20, "id": "4af4a516-aeae-4a4f-90bc-bf2bf62f584e", "metadata": { "tags": [] @@ -767,9 +767,14 @@ " name: roms_marbl_example_cstar_case\n", " valid_date_range:\n", " start_date: '2012-01-01 12:00:00'\n", - " end_date: '2012-01-31 12:00:00'\n", + " end_date: '2012-12-31 12:00:00'\n", "components:\n", "- component:\n", + " component_type: MARBL\n", + " base_model:\n", + " source_repo: https://github.com/marbl-ecosys/MARBL.git\n", + " checkout_target: marbl0.45.0\n", + "- component:\n", " component_type: ROMS\n", " base_model:\n", " source_repo: https://github.com/CESR-lab/ucla-roms.git\n", @@ -820,11 +825,6 @@ " file_hash: 9c7ec2915b46f40ea0fd5c548d65da4147304ba081812387721b0e20e5c33165\n", " - location: https://github.com/CWorthy-ocean/input_datasets_roms_marbl_example/raw/main/roms_bry_bgc_clim.nc\n", " file_hash: 2ffaa61ba3871922d3f270e2a11af70cca6f7aa2ccced2bac7257c45f35e261c\n", - "- component:\n", - " component_type: MARBL\n", - " base_model:\n", - " source_repo: https://github.com/marbl-ecosys/MARBL.git\n", - " checkout_target: marbl0.45.0\n", "\n" ] } @@ -837,9 +837,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "cstar_env", "language": "python", - "name": "python3" + "name": "cstar_env" }, "language_info": { "codemirror_mode": { diff --git a/docs/2_importing_and_running_a_case.ipynb b/docs/2_importing_and_running_a_case.ipynb index 1841394..8c4bf31 100644 --- a/docs/2_importing_and_running_a_case.ipynb +++ b/docs/2_importing_and_running_a_case.ipynb @@ -802,7 +802,23 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 72, + "id": "8b218163-e83d-4d91-a5da-50c802aae2bd", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from pathlib import Path\n", + "class tmpclass:\n", + " def __init__(self):\n", + " self.caseroot = Path.cwd()/\"../examples/alpha_example/example_case\"\n", + "example_case_1=tmpclass()" + ] + }, + { + "cell_type": "code", + "execution_count": 80, "id": "0eeb0d73-1120-4216-b5be-2e909662d853", "metadata": { "tags": [] @@ -810,9 +826,9 @@ "outputs": [ { "data": { - "image/png": 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", "text/plain": [ - "
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" ] }, "metadata": {}, @@ -826,33 +842,33 @@ "import cartopy.crs as ccrs\n", "import cartopy.feature as cfeature\n", "\n", - "grd_ds = xr.open_dataset(example_case_2.caseroot / 'input_datasets/ROMS/roms_grd.nc') # Our ROMS grid file for lat and lon data\n", - "ini_ds = xr.open_dataset(example_case_2.caseroot / 'input_datasets/ROMS/roms_ini.nc') # Our initial condition file\n", - "rst_ds = xr.open_dataset(example_case_2.caseroot / 'output/ROMS_MARBL_rst.20120103120000.nc') # Our restart file\n", + "grd_ds = xr.open_dataset(example_case_1.caseroot / 'input_datasets/ROMS/roms_grd.nc') # Our ROMS grid file for lat and lon data\n", + "ini_ds = xr.open_dataset(example_case_1.caseroot / 'input_datasets/ROMS/roms_ini.nc') # Our initial condition file\n", + "rst_ds = xr.open_dataset(example_case_1.caseroot / 'output/ROMS_MARBL_rst.20120103120000.nc') # Our restart file\n", "\n", "var=\"temp\"\n", - "ini_data = ini_ds[var].isel(s_rho=-1,ocean_time=0) # s_rho is the vertical level, ROMS is \"upside down\", so this is the surface\n", - "rst_data = rst_ds[var].isel(s_rho=-1,time=0)\n", + "ini_data = ini_ds[var].where(grd_ds.mask_rho).isel(s_rho=-1, ocean_time=0)\n", + "rst_data = rst_ds[var].where(grd_ds.mask_rho).isel(s_rho=-1, time=0)\n", "\n", "# Create figure and axes\n", - "fig, ax = plt.subplots(1,2, subplot_kw={'projection': ccrs.PlateCarree()})\n", + "fig, ax = plt.subplots(1,2, subplot_kw={'projection': ccrs.PlateCarree()}, figsize=(15, 9))\n", "\n", "# Plot the data\n", "cmap=plt.get_cmap('Spectral_r')\n", - "cmap.set_under('grey')\n", - "cmap.set_bad('grey')\n", - "p0=ax[0].pcolormesh(grd_ds.lon_rho, grd_ds.lat_rho, np.ma.masked_where(grd_ds.mask_rho==0,ini_data), transform=ccrs.PlateCarree(), cmap=cmap,vmin=7,vmax=12)\n", - "p1=ax[1].pcolormesh(grd_ds.lon_rho, grd_ds.lat_rho, rst_data, transform=ccrs.PlateCarree(), cmap=cmap,vmin=7,vmax=12)\n", + "cmap.set_bad('gray')\n", + "vmin = min(ini_data.where(ini_data!=0).min(), rst_data.where(rst_data!=0).min())\n", + "vmax = max(ini_data.where(ini_data!=0).max(), rst_data.where(rst_data!=0).max())\n", + "kwargs = {\"cmap\": cmap, \"vmin\": vmin, \"vmax\": vmax}\n", + "p0=ax[0].pcolormesh(grd_ds.lon_rho, grd_ds.lat_rho, ini_data, transform=ccrs.PlateCarree(), **kwargs)\n", + "p1=ax[1].pcolormesh(grd_ds.lon_rho, grd_ds.lat_rho, rst_data, transform=ccrs.PlateCarree(), **kwargs)\n", "\n", "# Add coastlines and land mask \n", "[a.add_feature(cfeature.COASTLINE, linewidth=1) for a in ax]\n", - "[a.set_xlim(-5.8,-2.3) for a in ax]\n", "\n", "# Add a colorbar\n", - "ax[0].set_title(\"January 1st (initial condition file)\")\n", - "ax[1].set_title(\"January 3rd (restart file)\")\n", + "ax[0].set_title(\"Initial condition file\")\n", + "ax[1].set_title(\"Restart file\")\n", "plt.colorbar(p1, ax=ax, orientation='horizontal', pad=0.05,label=\"Sea surface temperature (°C)\")\n", - "fig.set_size_inches(15,8)\n", "fig.show()\n" ] }, diff --git a/docs/4_preparing_roms_input_datasets.ipynb b/docs/4_preparing_roms_input_datasets.ipynb index d397b86..4863212 100644 --- a/docs/4_preparing_roms_input_datasets.ipynb +++ b/docs/4_preparing_roms_input_datasets.ipynb @@ -36,8 +36,8 @@ "outputs": [], "source": [ "from datetime import datetime\n", - "start_time = datetime(2012, 8, 10)\n", - "end_time = datetime(2012, 8, 17)" + "start_time = datetime(2012, 8, 10,12,0,0)\n", + "end_time = datetime(2012, 8, 17,12,0,0)" ] }, { From 1d2c72e3df842366784e94e48de0b7ba8cb2cb94 Mon Sep 17 00:00:00 2001 From: Dafydd Date: Tue, 15 Oct 2024 15:30:15 -0700 Subject: [PATCH 09/31] more trivial changes zzzzzzzz --- docs/1_building_and_exporting_a_case.ipynb | 4 ++-- docs/2_importing_and_running_a_case.ipynb | 16 ---------------- 2 files changed, 2 insertions(+), 18 deletions(-) diff --git a/docs/1_building_and_exporting_a_case.ipynb b/docs/1_building_and_exporting_a_case.ipynb index 8eca13d..26556b4 100644 --- a/docs/1_building_and_exporting_a_case.ipynb +++ b/docs/1_building_and_exporting_a_case.ipynb @@ -116,7 +116,7 @@ "-------------\n", "source_repo : https://github.com/CESR-lab/ucla-roms.git (default)\n", "checkout_target : main (corresponding to hash 246c11fa537145ba5868f2256dfb4964aeb09a25) (default)\n", - "local_config_status: 2 (Environment variable ROMS_ROOT is present, points to the correct repository remote, but is checked out at the wrong hash)\n" + "local_config_status: 3 (Environment variable ROMS_ROOT is not present and it is assumed the base model is not installed locally)\n" ] } ], @@ -140,7 +140,7 @@ "--------------\n", "source_repo : https://github.com/marbl-ecosys/MARBL.git (default)\n", "checkout_target : marbl0.45.0 (corresponding to hash 6e6b2f7c32ac5427e6cf46de4222973b8bcaa3d9)\n", - "local_config_status: 0 (Environment variable MARBL_ROOT is present, points to the correct repository remote, and is checked out at the correct hash)\n" + "local_config_status: 3 (Environment variable MARBL_ROOT is not present and it is assumed the base model is not installed locally)\n" ] } ], diff --git a/docs/2_importing_and_running_a_case.ipynb b/docs/2_importing_and_running_a_case.ipynb index 8c4bf31..d3998a3 100644 --- a/docs/2_importing_and_running_a_case.ipynb +++ b/docs/2_importing_and_running_a_case.ipynb @@ -800,22 +800,6 @@ "C-Star doesn't currently support plots of model data, so we will have to manually produce these using the model files. Don't worry too much about understanding the model's naming conventions in this code cell (C-Star will usually take care of these things for you) - this is just a visual demonstration!" ] }, - { - "cell_type": "code", - "execution_count": 72, - "id": "8b218163-e83d-4d91-a5da-50c802aae2bd", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "from pathlib import Path\n", - "class tmpclass:\n", - " def __init__(self):\n", - " self.caseroot = Path.cwd()/\"../examples/alpha_example/example_case\"\n", - "example_case_1=tmpclass()" - ] - }, { "cell_type": "code", "execution_count": 80, From a51d65609729a7c7d111e4469c783dac0d5041a1 Mon Sep 17 00:00:00 2001 From: Dafydd Date: Tue, 15 Oct 2024 15:46:32 -0700 Subject: [PATCH 10/31] remove x limits from plot in notebook 3 --- docs/3_restarting_and_continuing_a_case.ipynb | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/3_restarting_and_continuing_a_case.ipynb b/docs/3_restarting_and_continuing_a_case.ipynb index 5c08e80..3678b28 100644 --- a/docs/3_restarting_and_continuing_a_case.ipynb +++ b/docs/3_restarting_and_continuing_a_case.ipynb @@ -422,7 +422,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 49, "id": "26887f43-fa54-4536-9026-212ffd1555cc", "metadata": { "tags": [] @@ -430,7 +430,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -452,7 +452,7 @@ "output_time=[dt.datetime(2000,1,1)+dt.timedelta(seconds=t) for t in BGC_DS.ocean_time.values]\n", "\n", "var = 'DOC'\n", - "i_idx = 10 \n", + "i_idx = 10\n", "j_idx = 15 \n", "k_idx = 19\n", "t_idx = [0,-1]\n", @@ -491,7 +491,7 @@ "p3 = ax3.pcolormesh(lon,lat,BGC_DA.isel(time=-1).values, vmin=VMIN, vmax=VMAX, cmap=CMAP)\n", "[a.set_xticks([]) for a in [ax2, ax3]]\n", "[a.set_yticks([]) for a in [ax2, ax3]]\n", - "[a.set_xlim(-5.8,-2.3) for a in [ax2,ax3]]\n", + "\n", "ax2.set_title(\"\")\n", "ax2.plot(lon[j_idx,i_idx].values-360, lat[j_idx,i_idx].values, 'kx')\n", "ax3.plot(lon[j_idx,i_idx].values-360, lat[j_idx,i_idx].values, 'kx')\n", From 1644047a0d5e4fbe982151db98d19714f80d4a23 Mon Sep 17 00:00:00 2001 From: Nora Loose Date: Wed, 16 Oct 2024 09:22:59 -0600 Subject: [PATCH 11/31] New description of C-Star (#140) * New description of C-Star * Correct rendering of intro text --- docs/index.rst | 13 +++++++++++-- docs/introduction.md | 12 ------------ 2 files changed, 11 insertions(+), 14 deletions(-) delete mode 100644 docs/introduction.md diff --git a/docs/index.rst b/docs/index.rst index 48dcb18..5f6949d 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -1,13 +1,22 @@ Welcome to the C-Star Documentation! ==================================== -**C-Star** is a python package for setting up and running ocean model simulations, with a particular focus on marine carbon dioxide removal (mCDR) applications. +**C-Star** is an open-source modeling system developed by a team of ocean/biogeochemical modelers and scientific software engineers at `[\C\]Worthy `_. It is designed to support Monitoring, Reporting, and Verification (MRV) for research and commercial ocean-based Carbon Dioxide Removal (CDR) projects. C-Star aims to provide an accessible, common, framework for creating, sharing, and reproducing ocean biogeochemical simulations. + +We are designing and building C-Star with these high-level principles in mind: + +- **Scientific Integrity:** The C-Star modeling system utilizes trusted biogeochemical ocean models that have been developed in the public domain through decades of scientific R&D. Community involvement and iteration ensures that we are tracking the best-available science. +- **Transparency and Accessibility of our code:** Facilitates broad trust and adoption by both academic and commercial actors. +- **Reproducible and auditable:** Modeling simulations used to underpin carbon removal claims must be shareable and reproducible by a range of users. +- **Ease of use:** Ensures consistent application by diverse user groups including the commercial sector. +- **Standardization:** Ensures a consistent level of quality across CDR projects. + +A key strength of C-Star lies in its ability to run regional simulations using a `“blueprint” `_ that consolidates all the necessary data to define a model setup. This enables the creation of curated databases containing both scientifically validated and research-grade blueprints. These blueprints offer users the flexibility to easily reproduce simulations, making the modeling process more accessible and consistent. .. toctree:: :maxdepth: 1 :caption: Getting Started - What is C-Star? Installing C-Star .. toctree:: diff --git a/docs/introduction.md b/docs/introduction.md deleted file mode 100644 index 27fb9f0..0000000 --- a/docs/introduction.md +++ /dev/null @@ -1,12 +0,0 @@ -# What is C-Star? - -C-Star is an open-source modeling system developed by a team of oceanographers at [\[C\]Worthy](https://cworthy.org). It is designed to support Monitoring, Reporting, and Verification (MRV) for ocean-based Carbon Dioxide Removal (CDR). C-Star aims to provide an accessible, common framework for creating, sharing, and (crucially) reproducing ocean system simulations. - -Our priorities are: -- Scientific credibility -- Reproducibility -- Accessibility -- Transparency - -We aim to build a database of "blueprints" describing scientifically validated CDR simulations. These will be used with C-Star such that a range of stakeholders can easily recreate those simulations for analysis. - From c0318e0f05229b810922365b7b9503b3a1989ea0 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=80=9CDafydd?= <“dafydd_stephenson@hotmail.com”> Date: Wed, 16 Oct 2024 12:22:12 -0600 Subject: [PATCH 12/31] fix appending to undefined dictionary key in cstar_local_config.py --- cstar/roms/base_model.py | 1 + 1 file changed, 1 insertion(+) diff --git a/cstar/roms/base_model.py b/cstar/roms/base_model.py index a9744ac..bff7978 100644 --- a/cstar/roms/base_model.py +++ b/cstar/roms/base_model.py @@ -87,6 +87,7 @@ def get(self, target: str | Path) -> None: # Set the configuration file to be read by __init__.py for future sessions: config_file_str = ( f' _CSTAR_ENVIRONMENT_VARIABLES["ROMS_ROOT"]="{target}"' + + '\n _CSTAR_ENVIRONMENT_VARIABLES.setdefault("PATH",os.environ.get("PATH",default=""))' + '\n _CSTAR_ENVIRONMENT_VARIABLES["PATH"]+=":' + f'{target}/Tools-Roms"\n' ) From e827e82003529962d17ade7684de65b01f0881be Mon Sep 17 00:00:00 2001 From: Nora Loose Date: Mon, 21 Oct 2024 09:21:07 -0600 Subject: [PATCH 13/31] Some minor notebook cosmetics... (#145) * Nicer formatting and commenting in first cell * Change name of grid and initial conditions file * Run entire notebook --- docs/4_preparing_roms_input_datasets.ipynb | 7806 +++++++++++++++++--- 1 file changed, 6692 insertions(+), 1114 deletions(-) diff --git a/docs/4_preparing_roms_input_datasets.ipynb b/docs/4_preparing_roms_input_datasets.ipynb index 4863212..3d25ae2 100644 --- a/docs/4_preparing_roms_input_datasets.ipynb +++ b/docs/4_preparing_roms_input_datasets.ipynb @@ -36,8 +36,8 @@ "outputs": [], "source": [ "from datetime import datetime\n", - "start_time = datetime(2012, 8, 10,12,0,0)\n", - "end_time = datetime(2012, 8, 17,12,0,0)" + "start_time = datetime(2012, 8, 10, 12, 0, 0) # noon on August 10, 2012\n", + "end_time = datetime(2012, 8, 17, 12, 0, 0) # noon on August 17, 2012" ] }, { @@ -146,8 +146,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 2 s, sys: 278 ms, total: 2.28 s\n", - "Wall time: 4.97 s\n" + "CPU times: user 1.39 s, sys: 130 ms, total: 1.52 s\n", + "Wall time: 2.51 s\n" ] } ], @@ -624,17 +624,16 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
<xarray.Dataset> Size: 620kB\n",
+       "
<xarray.Dataset> Size: 603kB\n",
        "Dimensions:              (eta_rho: 32, xi_rho: 32, xi_u: 31, eta_v: 31,\n",
-       "                          eta_psi: 33, xi_psi: 33, eta_coarse: 17,\n",
-       "                          xi_coarse: 17, s_rho: 20, s_w: 21)\n",
-       "Coordinates: (12/16)\n",
+       "                          eta_coarse: 17, xi_coarse: 17, s_rho: 20, s_w: 21)\n",
+       "Coordinates: (12/14)\n",
        "    lat_rho              (eta_rho, xi_rho) float64 8kB 60.16 60.26 ... 69.65\n",
        "    lon_rho              (eta_rho, xi_rho) float64 8kB 337.5 338.0 ... 348.4\n",
        "    lat_u                (eta_rho, xi_u) float64 8kB 60.21 60.3 ... 69.56 69.62\n",
        "    lon_u                (eta_rho, xi_u) float64 8kB 337.8 338.2 ... 347.4 348.0\n",
        "    lat_v                (eta_v, xi_rho) float64 8kB 60.27 60.36 ... 69.48 69.54\n",
-       "    lon_v                (eta_v, xi_rho) float64 8kB 337.5 337.9 ... 347.8 348.5\n",
+       "    lon_v                (eta_v, xi_rho) float64 8kB 337.4 337.9 ... 347.8 348.5\n",
        "    ...                   ...\n",
        "    layer_depth_rho      (s_rho, eta_rho, xi_rho) float32 82kB 2.202e+03 ... ...\n",
        "    layer_depth_u        (s_rho, eta_rho, xi_u) float32 79kB 2.202e+03 ... 6.793\n",
@@ -642,8 +641,8 @@
        "    interface_depth_rho  (s_w, eta_rho, xi_rho) float32 86kB 2.294e+03 ... -0.0\n",
        "    interface_depth_u    (s_w, eta_rho, xi_u) float32 83kB 2.294e+03 ... -0.0\n",
        "    interface_depth_v    (s_w, eta_v, xi_rho) float32 83kB 2.294e+03 ... -0.0\n",
-       "Dimensions without coordinates: eta_rho, xi_rho, xi_u, eta_v, eta_psi, xi_psi,\n",
-       "                                eta_coarse, xi_coarse, s_rho, s_w\n",
+       "Dimensions without coordinates: eta_rho, xi_rho, xi_u, eta_v, eta_coarse,\n",
+       "                                xi_coarse, s_rho, s_w\n",
        "Data variables: (12/13)\n",
        "    angle                (eta_rho, xi_rho) float64 8kB 0.4133 0.4133 ... 0.259\n",
        "    f                    (eta_rho, xi_rho) float64 8kB 0.0001262 ... 0.0001364\n",
@@ -660,7 +659,7 @@
        "    Cs_w                 (s_w) float32 84B -1.0 -0.9114 ... -0.0009921 0.0\n",
        "Attributes:\n",
        "    title:               ROMS grid created by ROMS-Tools\n",
-       "    roms_tools_version:  0.1.dev138+dirty\n",
+       "    roms_tools_version:  1.4.0\n",
        "    size_x:              800\n",
        "    size_y:              800\n",
        "    center_lon:          -18\n",
@@ -670,7 +669,7 @@
        "    hmin:                5.0\n",
        "    theta_s:             5.0\n",
        "    theta_b:             2.0\n",
-       "    hc:                  300.0
    • title :
      ROMS grid created by ROMS-Tools
      roms_tools_version :
      1.4.0
      size_x :
      800
      size_y :
      800
      center_lon :
      -18
      center_lat :
      65
      rot :
      20
      topography_source :
      ETOPO5
      hmin :
      5.0
      theta_s :
      5.0
      theta_b :
      2.0
      hc :
      300.0
    • " ], "text/plain": [ - " Size: 620kB\n", + " Size: 603kB\n", "Dimensions: (eta_rho: 32, xi_rho: 32, xi_u: 31, eta_v: 31,\n", - " eta_psi: 33, xi_psi: 33, eta_coarse: 17,\n", - " xi_coarse: 17, s_rho: 20, s_w: 21)\n", - "Coordinates: (12/16)\n", + " eta_coarse: 17, xi_coarse: 17, s_rho: 20, s_w: 21)\n", + "Coordinates: (12/14)\n", " lat_rho (eta_rho, xi_rho) float64 8kB 60.16 60.26 ... 69.65\n", " lon_rho (eta_rho, xi_rho) float64 8kB 337.5 338.0 ... 348.4\n", " lat_u (eta_rho, xi_u) float64 8kB 60.21 60.3 ... 69.56 69.62\n", " lon_u (eta_rho, xi_u) float64 8kB 337.8 338.2 ... 347.4 348.0\n", " lat_v (eta_v, xi_rho) float64 8kB 60.27 60.36 ... 69.48 69.54\n", - " lon_v (eta_v, xi_rho) float64 8kB 337.5 337.9 ... 347.8 348.5\n", + " lon_v (eta_v, xi_rho) float64 8kB 337.4 337.9 ... 347.8 348.5\n", " ... ...\n", " layer_depth_rho (s_rho, eta_rho, xi_rho) float32 82kB 2.202e+03 ... ...\n", " layer_depth_u (s_rho, eta_rho, xi_u) float32 79kB 2.202e+03 ... 6.793\n", @@ -1431,8 +1405,8 @@ " interface_depth_rho (s_w, eta_rho, xi_rho) float32 86kB 2.294e+03 ... -0.0\n", " interface_depth_u (s_w, eta_rho, xi_u) float32 83kB 2.294e+03 ... -0.0\n", " interface_depth_v (s_w, eta_v, xi_rho) float32 83kB 2.294e+03 ... -0.0\n", - "Dimensions without coordinates: eta_rho, xi_rho, xi_u, eta_v, eta_psi, xi_psi,\n", - " eta_coarse, xi_coarse, s_rho, s_w\n", + "Dimensions without coordinates: eta_rho, xi_rho, xi_u, eta_v, eta_coarse,\n", + " xi_coarse, s_rho, s_w\n", "Data variables: (12/13)\n", " angle (eta_rho, xi_rho) float64 8kB 0.4133 0.4133 ... 0.259\n", " f (eta_rho, xi_rho) float64 8kB 0.0001262 ... 0.0001364\n", @@ -1449,7 +1423,7 @@ " Cs_w (s_w) float32 84B -1.0 -0.9114 ... -0.0009921 0.0\n", "Attributes:\n", " title: ROMS grid created by ROMS-Tools\n", - " roms_tools_version: 0.1.dev138+dirty\n", + " roms_tools_version: 1.4.0\n", " size_x: 800\n", " size_y: 800\n", " center_lon: -18\n", @@ -1490,7 +1464,7 @@ { "data": { "text/plain": [ - "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/grid.nc')]" + "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/roms_grd.nc')]" ] }, "execution_count": 10, @@ -1499,7 +1473,7 @@ } ], "source": [ - "grid.save(f\"{target_dir}/grid.nc\")" + "grid.save(f\"{target_dir}/roms_grd.nc\")" ] }, { @@ -1519,7 +1493,7 @@ }, "outputs": [], "source": [ - "yaml_filepath = f\"{target_dir}/grid.yaml\"\n", + "yaml_filepath = f\"{target_dir}/roms_grd.yaml\"\n", "grid.to_yaml(yaml_filepath)" ] }, @@ -1544,7 +1518,7 @@ "output_type": "stream", "text": [ "---\n", - "roms_tools_version: 0.1.dev138+dirty\n", + "roms_tools_version: 1.4.0\n", "---\n", "Grid:\n", " N: 20\n", @@ -1645,9 +1619,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "Selected time entry closest to the specified start_time (2012-08-10 00:00:00) within the range [2012-08-10 00:00:00, 2012-08-11 00:00:00]: ['2012-08-10T12:00:00.000000000']\n", - "CPU times: user 36min 12s, sys: 9.89 s, total: 36min 22s\n", - "Wall time: 44.6 s\n" + "Selected time entry closest to the specified start_time (2012-08-10 12:00:00) within the range [2012-08-10 12:00:00, 2012-08-11 12:00:00]: ['2012-08-10T12:00:00.000000000']\n", + "CPU times: user 17min 33s, sys: 2.17 s, total: 17min 35s\n", + "Wall time: 30.5 s\n" ] } ], @@ -2087,14 +2061,14 @@ " Cs_w (s_w) float32 84B -1.0 -0.9114 -0.809 ... -0.0009921 0.0\n", "Attributes:\n", " title: ROMS initial conditions file created by ROMS-Tools\n", - " roms_tools_version: 0.1.dev138+dirty\n", - " ini_time: 2012-08-10 00:00:00\n", + " roms_tools_version: 1.4.0\n", + " ini_time: 2012-08-10 12:00:00\n", " model_reference_date: 2000-01-01 00:00:00\n", " source: GLORYS\n", " bgc_source: CESM_REGRIDDED\n", " theta_s: 5.0\n", " theta_b: 2.0\n", - " hc: 300.0
      • ocean_time
        PandasIndex
        PandasIndex(Index([397915200.0], dtype='float64', name='ocean_time'))
    • title :
      ROMS initial conditions file created by ROMS-Tools
      roms_tools_version :
      1.4.0
      ini_time :
      2012-08-10 12:00:00
      model_reference_date :
      2000-01-01 00:00:00
      source :
      GLORYS
      bgc_source :
      CESM_REGRIDDED
      theta_s :
      5.0
      theta_b :
      2.0
      hc :
      300.0
    • " ], "text/plain": [ " Size: 3MB\n", @@ -3702,8 +3676,8 @@ " Cs_w (s_w) float32 84B -1.0 -0.9114 -0.809 ... -0.0009921 0.0\n", "Attributes:\n", " title: ROMS initial conditions file created by ROMS-Tools\n", - " roms_tools_version: 0.1.dev138+dirty\n", - " ini_time: 2012-08-10 00:00:00\n", + " roms_tools_version: 1.4.0\n", + " ini_time: 2012-08-10 12:00:00\n", " model_reference_date: 2000-01-01 00:00:00\n", " source: GLORYS\n", " bgc_source: CESM_REGRIDDED\n", @@ -3802,7 +3776,7 @@ { "data": { "text/plain": [ - "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/initial_conditions.nc')]" + "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/roms_ini.nc')]" ] }, "execution_count": 19, @@ -3811,7 +3785,7 @@ } ], "source": [ - "initial_conditions.save(f\"{target_dir}/initial_conditions.nc\")" + "initial_conditions.save(f\"{target_dir}/roms_ini.nc\")" ] }, { @@ -3823,7 +3797,7 @@ }, "outputs": [], "source": [ - "initial_conditions.to_yaml(f\"{target_dir}/initial_conditions.yaml\")" + "initial_conditions.to_yaml(f\"{target_dir}/roms_ini.yaml\")" ] }, { @@ -3898,8 +3872,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 39.1 s, sys: 4.09 s, total: 43.2 s\n", - "Wall time: 12.2 s\n" + "CPU times: user 17.1 s, sys: 1.09 s, total: 18.2 s\n", + "Wall time: 9 s\n" ] } ], @@ -4318,12 +4292,12 @@ " v_Im (ntides, eta_v, xi_rho) float32 40kB -0.007885 ... -0.0001538\n", "Attributes:\n", " title: ROMS tidal forcing created by ROMS-Tools\n", - " roms_tools_version: 0.1.dev138+dirty\n", + " roms_tools_version: 1.4.0\n", " source: TPXO\n", " model_reference_date: 2000-01-01 00:00:00\n", - " allan_factor: 2.0
      • title :
        ROMS tidal forcing created by ROMS-Tools
        roms_tools_version :
        1.4.0
        source :
        TPXO
        model_reference_date :
        2000-01-01 00:00:00
        allan_factor :
        2.0
      • " ], "text/plain": [ " Size: 323kB\n", @@ -4662,7 +4636,7 @@ " v_Im (ntides, eta_v, xi_rho) float32 40kB -0.007885 ... -0.0001538\n", "Attributes:\n", " title: ROMS tidal forcing created by ROMS-Tools\n", - " roms_tools_version: 0.1.dev138+dirty\n", + " roms_tools_version: 1.4.0\n", " source: TPXO\n", " model_reference_date: 2000-01-01 00:00:00\n", " allan_factor: 2.0" @@ -4854,8 +4828,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 2.84 s, sys: 1.76 s, total: 4.61 s\n", - "Wall time: 11.1 s\n" + "CPU times: user 2.73 s, sys: 552 ms, total: 3.29 s\n", + "Wall time: 6.54 s\n" ] } ], @@ -5263,33 +5237,27 @@ "
        <xarray.Dataset> Size: 5MB\n",
                "Dimensions:   (time: 169, eta_rho: 32, xi_rho: 32)\n",
                "Coordinates:\n",
        -       "    abs_time  (time) datetime64[ns] 1kB 2012-08-10 ... 2012-08-17\n",
        -       "  * time      (time) float64 1kB 4.605e+03 4.605e+03 ... 4.612e+03 4.612e+03\n",
        +       "    abs_time  (time) datetime64[ns] 1kB 2012-08-10T12:00:00 ... 2012-08-17T12...\n",
        +       "  * time      (time) float64 1kB 4.606e+03 4.606e+03 ... 4.612e+03 4.612e+03\n",
                "Dimensions without coordinates: eta_rho, xi_rho\n",
                "Data variables:\n",
        -       "    uwnd      (time, eta_rho, xi_rho) float32 692kB 4.614 4.477 ... -6.576\n",
        -       "    vwnd      (time, eta_rho, xi_rho) float32 692kB 6.843 6.547 ... 2.708 2.479\n",
        -       "    swrad     (time, eta_rho, xi_rho) float32 692kB 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
        -       "    lwrad     (time, eta_rho, xi_rho) float32 692kB 373.6 372.3 ... 351.5 351.1\n",
        -       "    Tair      (time, eta_rho, xi_rho) float32 692kB 13.4 13.39 ... 7.637 7.589\n",
        -       "    qair      (time, eta_rho, xi_rho) float32 692kB 0.009185 ... 0.006327\n",
        -       "    rain      (time, eta_rho, xi_rho) float32 692kB 0.07931 0.0719 ... 0.6849\n",
        +       "    uwnd      (time, eta_rho, xi_rho) float32 692kB 6.236 6.182 ... -3.38 -3.462\n",
        +       "    vwnd      (time, eta_rho, xi_rho) float32 692kB 8.239 8.16 ... 1.51 1.503\n",
        +       "    swrad     (time, eta_rho, xi_rho) float32 692kB 249.2 234.9 ... 222.6 272.9\n",
        +       "    lwrad     (time, eta_rho, xi_rho) float32 692kB 368.8 370.9 ... 341.3 335.0\n",
        +       "    Tair      (time, eta_rho, xi_rho) float32 692kB 13.88 13.9 ... 7.3 7.292\n",
        +       "    qair      (time, eta_rho, xi_rho) float32 692kB 0.009035 ... 0.006102\n",
        +       "    rain      (time, eta_rho, xi_rho) float32 692kB 0.07277 0.1024 ... 0.003101\n",
                "Attributes:\n",
                "    title:                 ROMS surface forcing file created by ROMS-Tools\n",
        -       "    roms_tools_version:    0.1.dev138+dirty\n",
        -       "    start_time:            2012-08-10 00:00:00\n",
        -       "    end_time:              2012-08-17 00:00:00\n",
        +       "    roms_tools_version:    1.4.0\n",
        +       "    start_time:            2012-08-10 12:00:00\n",
        +       "    end_time:              2012-08-17 12:00:00\n",
                "    source:                ERA5\n",
                "    correct_radiation:     True\n",
                "    use_coarse_grid:       False\n",
                "    model_reference_date:  2000-01-01 00:00:00\n",
        -       "    type:                  physics
      • title :
        ROMS surface forcing file created by ROMS-Tools
        roms_tools_version :
        1.4.0
        start_time :
        2012-08-10 12:00:00
        end_time :
        2012-08-17 12:00:00
        source :
        ERA5
        correct_radiation :
        True
        use_coarse_grid :
        False
        model_reference_date :
        2000-01-01 00:00:00
        type :
        physics
      • " ], "text/plain": [ " Size: 5MB\n", "Dimensions: (time: 169, eta_rho: 32, xi_rho: 32)\n", "Coordinates:\n", - " abs_time (time) datetime64[ns] 1kB 2012-08-10 ... 2012-08-17\n", - " * time (time) float64 1kB 4.605e+03 4.605e+03 ... 4.612e+03 4.612e+03\n", + " abs_time (time) datetime64[ns] 1kB 2012-08-10T12:00:00 ... 2012-08-17T12...\n", + " * time (time) float64 1kB 4.606e+03 4.606e+03 ... 4.612e+03 4.612e+03\n", "Dimensions without coordinates: eta_rho, xi_rho\n", "Data variables:\n", - " uwnd (time, eta_rho, xi_rho) float32 692kB 4.614 4.477 ... -6.576\n", - " vwnd (time, eta_rho, xi_rho) float32 692kB 6.843 6.547 ... 2.708 2.479\n", - " swrad (time, eta_rho, xi_rho) float32 692kB 0.0 0.0 0.0 ... 0.0 0.0 0.0\n", - " lwrad (time, eta_rho, xi_rho) float32 692kB 373.6 372.3 ... 351.5 351.1\n", - " Tair (time, eta_rho, xi_rho) float32 692kB 13.4 13.39 ... 7.637 7.589\n", - " qair (time, eta_rho, xi_rho) float32 692kB 0.009185 ... 0.006327\n", - " rain (time, eta_rho, xi_rho) float32 692kB 0.07931 0.0719 ... 0.6849\n", + " uwnd (time, eta_rho, xi_rho) float32 692kB 6.236 6.182 ... -3.38 -3.462\n", + " vwnd (time, eta_rho, xi_rho) float32 692kB 8.239 8.16 ... 1.51 1.503\n", + " swrad (time, eta_rho, xi_rho) float32 692kB 249.2 234.9 ... 222.6 272.9\n", + " lwrad (time, eta_rho, xi_rho) float32 692kB 368.8 370.9 ... 341.3 335.0\n", + " Tair (time, eta_rho, xi_rho) float32 692kB 13.88 13.9 ... 7.3 7.292\n", + " qair (time, eta_rho, xi_rho) float32 692kB 0.009035 ... 0.006102\n", + " rain (time, eta_rho, xi_rho) float32 692kB 0.07277 0.1024 ... 0.003101\n", "Attributes:\n", " title: ROMS surface forcing file created by ROMS-Tools\n", - " roms_tools_version: 0.1.dev138+dirty\n", - " start_time: 2012-08-10 00:00:00\n", - " end_time: 2012-08-17 00:00:00\n", + " roms_tools_version: 1.4.0\n", + " start_time: 2012-08-10 12:00:00\n", + " end_time: 2012-08-17 12:00:00\n", " source: ERA5\n", " correct_radiation: True\n", " use_coarse_grid: False\n", @@ -5755,7 +5729,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
        " ] @@ -5852,8 +5826,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 107 ms, sys: 4.05 ms, total: 111 ms\n", - "Wall time: 949 ms\n" + "CPU times: user 98.8 ms, sys: 12 ms, total: 111 ms\n", + "Wall time: 344 ms\n" ] } ], @@ -6269,15 +6243,15 @@ " nhy (time, eta_rho, xi_rho) float32 8kB 1.186e-12 ... 4.717e-13\n", "Attributes:\n", " title: ROMS surface forcing file created by ROMS-Tools\n", - " roms_tools_version: 0.1.dev138+dirty\n", - " start_time: 2012-08-10 00:00:00\n", - " end_time: 2012-08-17 00:00:00\n", + " roms_tools_version: 1.4.0\n", + " start_time: 2012-08-10 12:00:00\n", + " end_time: 2012-08-17 12:00:00\n", " source: CESM_REGRIDDED\n", " correct_radiation: False\n", " use_coarse_grid: False\n", " model_reference_date: 2000-01-01 00:00:00\n", - " type: bgc
        • title :
          ROMS surface forcing file created by ROMS-Tools
          roms_tools_version :
          1.4.0
          start_time :
          2012-08-10 12:00:00
          end_time :
          2012-08-17 12:00:00
          source :
          CESM_REGRIDDED
          correct_radiation :
          False
          use_coarse_grid :
          False
          model_reference_date :
          2000-01-01 00:00:00
          type :
          bgc
        • " ], "text/plain": [ " Size: 49kB\n", @@ -6455,9 +6429,9 @@ " nhy (time, eta_rho, xi_rho) float32 8kB 1.186e-12 ... 4.717e-13\n", "Attributes:\n", " title: ROMS surface forcing file created by ROMS-Tools\n", - " roms_tools_version: 0.1.dev138+dirty\n", - " start_time: 2012-08-10 00:00:00\n", - " end_time: 2012-08-17 00:00:00\n", + " roms_tools_version: 1.4.0\n", + " start_time: 2012-08-10 12:00:00\n", + " end_time: 2012-08-17 12:00:00\n", " source: CESM_REGRIDDED\n", " correct_radiation: False\n", " use_coarse_grid: False\n", @@ -6671,8 +6645,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 5h 10min 47s, sys: 17.9 s, total: 5h 11min 5s\n", - "Wall time: 2min 57s\n" + "CPU times: user 2h 15min 41s, sys: 3.06 s, total: 2h 15min 44s\n", + "Wall time: 2min 18s\n" ] } ], @@ -7077,48 +7051,41 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
          <xarray.Dataset> Size: 380kB\n",
          -       "Dimensions:     (bry_time: 9, xi_rho: 32, s_rho: 20, xi_u: 31, eta_rho: 32,\n",
          +       "
          <xarray.Dataset> Size: 337kB\n",
          +       "Dimensions:     (bry_time: 8, xi_rho: 32, s_rho: 20, xi_u: 31, eta_rho: 32,\n",
                  "                 eta_v: 31)\n",
                  "Coordinates:\n",
          -       "    abs_time    (bry_time) datetime64[ns] 72B 2012-08-09T12:00:00 ... 2012-08...\n",
          -       "  * bry_time    (bry_time) float64 72B 4.604e+03 4.606e+03 ... 4.612e+03\n",
          +       "    abs_time    (bry_time) datetime64[ns] 64B 2012-08-10T12:00:00 ... 2012-08...\n",
          +       "  * bry_time    (bry_time) float64 64B 4.606e+03 4.606e+03 ... 4.612e+03\n",
                  "Dimensions without coordinates: xi_rho, s_rho, xi_u, eta_rho, eta_v\n",
                  "Data variables: (12/28)\n",
          -       "    zeta_south  (bry_time, xi_rho) float32 1kB -0.5871 -0.5853 ... -0.4932\n",
          -       "    temp_south  (bry_time, s_rho, xi_rho) float32 23kB 3.113 3.134 ... 11.34\n",
          -       "    salt_south  (bry_time, s_rho, xi_rho) float32 23kB 34.95 34.95 ... 35.26\n",
          -       "    u_south     (bry_time, s_rho, xi_u) float32 22kB 0.03371 0.02327 ... 0.05322\n",
          -       "    v_south     (bry_time, s_rho, xi_rho) float32 23kB 0.007455 ... 0.01006\n",
          -       "    ubar_south  (bry_time, xi_u) float32 1kB 0.03021 -0.02001 ... 0.1054 0.06859\n",
          +       "    zeta_south  (bry_time, xi_rho) float32 1kB -0.6053 -0.6007 ... -0.4932\n",
          +       "    temp_south  (bry_time, s_rho, xi_rho) float32 20kB 3.113 3.116 ... 11.34\n",
          +       "    salt_south  (bry_time, s_rho, xi_rho) float32 20kB 34.96 34.95 ... 35.26\n",
          +       "    u_south     (bry_time, s_rho, xi_u) float32 20kB 0.02931 0.01554 ... 0.05322\n",
          +       "    v_south     (bry_time, s_rho, xi_rho) float32 20kB 0.01259 ... 0.01006\n",
          +       "    ubar_south  (bry_time, xi_u) float32 992B 0.02655 -0.02214 ... 0.06859\n",
                  "    ...          ...\n",
          -       "    temp_west   (bry_time, s_rho, eta_rho) float32 23kB 3.113 3.17 ... 2.878\n",
          -       "    salt_west   (bry_time, s_rho, eta_rho) float32 23kB 34.95 34.96 ... 31.85\n",
          -       "    u_west      (bry_time, s_rho, eta_rho) float32 23kB 0.03371 ... -0.03375\n",
          -       "    v_west      (bry_time, s_rho, eta_v) float32 22kB 0.007455 ... 0.04785\n",
          -       "    ubar_west   (bry_time, eta_rho) float32 1kB 0.03021 -0.03052 ... 0.01929\n",
          -       "    vbar_west   (bry_time, eta_v) float32 1kB 0.03951 0.04327 ... -0.01109\n",
          +       "    temp_west   (bry_time, s_rho, eta_rho) float32 20kB 3.113 3.174 ... 2.878\n",
          +       "    salt_west   (bry_time, s_rho, eta_rho) float32 20kB 34.96 34.96 ... 31.85\n",
          +       "    u_west      (bry_time, s_rho, eta_rho) float32 20kB 0.02931 ... -0.03375\n",
          +       "    v_west      (bry_time, s_rho, eta_v) float32 20kB 0.01259 ... 0.04785\n",
          +       "    ubar_west   (bry_time, eta_rho) float32 1kB 0.02655 -0.03006 ... 0.01929\n",
          +       "    vbar_west   (bry_time, eta_v) float32 992B 0.0425 0.03409 ... -0.01109\n",
                  "Attributes:\n",
                  "    title:                 ROMS boundary forcing file created by ROMS-Tools\n",
          -       "    roms_tools_version:    0.1.dev138+dirty\n",
          -       "    start_time:            2012-08-10 00:00:00\n",
          -       "    end_time:              2012-08-17 00:00:00\n",
          +       "    roms_tools_version:    1.4.0\n",
          +       "    start_time:            2012-08-10 12:00:00\n",
          +       "    end_time:              2012-08-17 12:00:00\n",
                  "    source:                GLORYS\n",
                  "    model_reference_date:  2000-01-01 00:00:00\n",
                  "    theta_s:               5.0\n",
                  "    theta_b:               2.0\n",
          -       "    hc:                    300.0
          • bry_time
            PandasIndex
            PandasIndex(Index([4605.5, 4606.5, 4607.5, 4608.5, 4609.5, 4610.5, 4611.5, 4612.5], dtype='float64', name='bry_time'))
        • title :
          ROMS boundary forcing file created by ROMS-Tools
          roms_tools_version :
          1.4.0
          start_time :
          2012-08-10 12:00:00
          end_time :
          2012-08-17 12:00:00
          source :
          GLORYS
          model_reference_date :
          2000-01-01 00:00:00
          theta_s :
          5.0
          theta_b :
          2.0
          hc :
          300.0
        • " ], "text/plain": [ - " Size: 380kB\n", - "Dimensions: (bry_time: 9, xi_rho: 32, s_rho: 20, xi_u: 31, eta_rho: 32,\n", + " Size: 337kB\n", + "Dimensions: (bry_time: 8, xi_rho: 32, s_rho: 20, xi_u: 31, eta_rho: 32,\n", " eta_v: 31)\n", "Coordinates:\n", - " abs_time (bry_time) datetime64[ns] 72B 2012-08-09T12:00:00 ... 2012-08...\n", - " * bry_time (bry_time) float64 72B 4.604e+03 4.606e+03 ... 4.612e+03\n", + " abs_time (bry_time) datetime64[ns] 64B 2012-08-10T12:00:00 ... 2012-08...\n", + " * bry_time (bry_time) float64 64B 4.606e+03 4.606e+03 ... 4.612e+03\n", "Dimensions without coordinates: xi_rho, s_rho, xi_u, eta_rho, eta_v\n", "Data variables: (12/28)\n", - " zeta_south (bry_time, xi_rho) float32 1kB -0.5871 -0.5853 ... -0.4932\n", - " temp_south (bry_time, s_rho, xi_rho) float32 23kB 3.113 3.134 ... 11.34\n", - " salt_south (bry_time, s_rho, xi_rho) float32 23kB 34.95 34.95 ... 35.26\n", - " u_south (bry_time, s_rho, xi_u) float32 22kB 0.03371 0.02327 ... 0.05322\n", - " v_south (bry_time, s_rho, xi_rho) float32 23kB 0.007455 ... 0.01006\n", - " ubar_south (bry_time, xi_u) float32 1kB 0.03021 -0.02001 ... 0.1054 0.06859\n", + " zeta_south (bry_time, xi_rho) float32 1kB -0.6053 -0.6007 ... -0.4932\n", + " temp_south (bry_time, s_rho, xi_rho) float32 20kB 3.113 3.116 ... 11.34\n", + " salt_south (bry_time, s_rho, xi_rho) float32 20kB 34.96 34.95 ... 35.26\n", + " u_south (bry_time, s_rho, xi_u) float32 20kB 0.02931 0.01554 ... 0.05322\n", + " v_south (bry_time, s_rho, xi_rho) float32 20kB 0.01259 ... 0.01006\n", + " ubar_south (bry_time, xi_u) float32 992B 0.02655 -0.02214 ... 0.06859\n", " ... ...\n", - " temp_west (bry_time, s_rho, eta_rho) float32 23kB 3.113 3.17 ... 2.878\n", - " salt_west (bry_time, s_rho, eta_rho) float32 23kB 34.95 34.96 ... 31.85\n", - " u_west (bry_time, s_rho, eta_rho) float32 23kB 0.03371 ... -0.03375\n", - " v_west (bry_time, s_rho, eta_v) float32 22kB 0.007455 ... 0.04785\n", - " ubar_west (bry_time, eta_rho) float32 1kB 0.03021 -0.03052 ... 0.01929\n", - " vbar_west (bry_time, eta_v) float32 1kB 0.03951 0.04327 ... -0.01109\n", + " temp_west (bry_time, s_rho, eta_rho) float32 20kB 3.113 3.174 ... 2.878\n", + " salt_west (bry_time, s_rho, eta_rho) float32 20kB 34.96 34.96 ... 31.85\n", + " u_west (bry_time, s_rho, eta_rho) float32 20kB 0.02931 ... -0.03375\n", + " v_west (bry_time, s_rho, eta_v) float32 20kB 0.01259 ... 0.04785\n", + " ubar_west (bry_time, eta_rho) float32 1kB 0.02655 -0.03006 ... 0.01929\n", + " vbar_west (bry_time, eta_v) float32 992B 0.0425 0.03409 ... -0.01109\n", "Attributes:\n", " title: ROMS boundary forcing file created by ROMS-Tools\n", - " roms_tools_version: 0.1.dev138+dirty\n", - " start_time: 2012-08-10 00:00:00\n", - " end_time: 2012-08-17 00:00:00\n", + " roms_tools_version: 1.4.0\n", + " start_time: 2012-08-10 12:00:00\n", + " end_time: 2012-08-17 12:00:00\n", " source: GLORYS\n", " model_reference_date: 2000-01-01 00:00:00\n", " theta_s: 5.0\n", @@ -8286,7 +8260,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
          " ] @@ -8345,12 +8319,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 48, "id": "e5989c47-fd88-40f4-a409-d61fbebd2827", "metadata": { "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 12.3 s, sys: 4.92 s, total: 17.2 s\n", + "Wall time: 24.1 s\n" + ] + } + ], "source": [ "%%time\n", "\n", @@ -8366,43 +8349,5638 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 49, "id": "3dce2681-65ce-4ba5-8fa2-43f52eb8bc3c", "metadata": { "tags": [] }, - "outputs": [], - "source": [ - "bgc_boundary_forcing.ds" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f9cde529-9e79-48c5-b321-5d65d2bc42da", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "bgc_boundary_forcing.plot(\"ALK_east\", time=0, layer_contours=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6b940bcc-c841-4033-8af5-f9c078e03d5c", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "bgc_boundary_forcing.save(f\"{target_dir}/bgc_boundary_forcing.nc\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, + "outputs": [ + { + "data": { + "text/html": [ + "
          \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
          <xarray.Dataset> Size: 4MB\n",
          +       "Dimensions:            (bry_time: 12, s_rho: 20, xi_rho: 32, eta_rho: 32)\n",
          +       "Coordinates:\n",
          +       "    abs_time           (bry_time) datetime64[ns] 96B 2000-01-16 ... 2000-12-15\n",
          +       "  * bry_time           (bry_time) float64 96B 15.0 45.0 74.0 ... 319.0 349.0\n",
          +       "Dimensions without coordinates: s_rho, xi_rho, eta_rho\n",
          +       "Data variables: (12/128)\n",
          +       "    PO4_south          (bry_time, s_rho, xi_rho) float32 31kB 0.9482 ... 0.6587\n",
          +       "    NO3_south          (bry_time, s_rho, xi_rho) float32 31kB 14.76 ... 10.59\n",
          +       "    SiO3_south         (bry_time, s_rho, xi_rho) float32 31kB 11.7 ... 7.944\n",
          +       "    NH4_south          (bry_time, s_rho, xi_rho) float32 31kB 0.001141 ... 0....\n",
          +       "    Fe_south           (bry_time, s_rho, xi_rho) float32 31kB 0.0008401 ... 0...\n",
          +       "    Lig_south          (bry_time, s_rho, xi_rho) float32 31kB 0.001601 ... 0....\n",
          +       "    ...                 ...\n",
          +       "    diazChl_west       (bry_time, s_rho, eta_rho) float32 31kB -1.136e-05 ......\n",
          +       "    diazC_west         (bry_time, s_rho, eta_rho) float32 31kB -4.133e-05 ......\n",
          +       "    diazP_west         (bry_time, s_rho, eta_rho) float32 31kB -2.961e-07 ......\n",
          +       "    diazFe_west        (bry_time, s_rho, eta_rho) float32 31kB -3.104e-09 ......\n",
          +       "    spCaCO3_west       (bry_time, s_rho, eta_rho) float32 31kB 0.001462 ... 0...\n",
          +       "    zooC_west          (bry_time, s_rho, eta_rho) float32 31kB 0.2618 ... 1.026\n",
          +       "Attributes:\n",
          +       "    title:                 ROMS boundary forcing file created by ROMS-Tools\n",
          +       "    roms_tools_version:    1.4.0\n",
          +       "    start_time:            2012-08-10 12:00:00\n",
          +       "    end_time:              2012-08-17 12:00:00\n",
          +       "    source:                CESM_REGRIDDED\n",
          +       "    model_reference_date:  2000-01-01 00:00:00\n",
          +       "    theta_s:               5.0\n",
          +       "    theta_b:               2.0\n",
          +       "    hc:                    300.0\n",
          +       "    climatology:           True
          " + ], + "text/plain": [ + " Size: 4MB\n", + "Dimensions: (bry_time: 12, s_rho: 20, xi_rho: 32, eta_rho: 32)\n", + "Coordinates:\n", + " abs_time (bry_time) datetime64[ns] 96B 2000-01-16 ... 2000-12-15\n", + " * bry_time (bry_time) float64 96B 15.0 45.0 74.0 ... 319.0 349.0\n", + "Dimensions without coordinates: s_rho, xi_rho, eta_rho\n", + "Data variables: (12/128)\n", + " PO4_south (bry_time, s_rho, xi_rho) float32 31kB 0.9482 ... 0.6587\n", + " NO3_south (bry_time, s_rho, xi_rho) float32 31kB 14.76 ... 10.59\n", + " SiO3_south (bry_time, s_rho, xi_rho) float32 31kB 11.7 ... 7.944\n", + " NH4_south (bry_time, s_rho, xi_rho) float32 31kB 0.001141 ... 0....\n", + " Fe_south (bry_time, s_rho, xi_rho) float32 31kB 0.0008401 ... 0...\n", + " Lig_south (bry_time, s_rho, xi_rho) float32 31kB 0.001601 ... 0....\n", + " ... ...\n", + " diazChl_west (bry_time, s_rho, eta_rho) float32 31kB -1.136e-05 ......\n", + " diazC_west (bry_time, s_rho, eta_rho) float32 31kB -4.133e-05 ......\n", + " diazP_west (bry_time, s_rho, eta_rho) float32 31kB -2.961e-07 ......\n", + " diazFe_west (bry_time, s_rho, eta_rho) float32 31kB -3.104e-09 ......\n", + " spCaCO3_west (bry_time, s_rho, eta_rho) float32 31kB 0.001462 ... 0...\n", + " zooC_west (bry_time, s_rho, eta_rho) float32 31kB 0.2618 ... 1.026\n", + "Attributes:\n", + " title: ROMS boundary forcing file created by ROMS-Tools\n", + " roms_tools_version: 1.4.0\n", + " start_time: 2012-08-10 12:00:00\n", + " end_time: 2012-08-17 12:00:00\n", + " source: CESM_REGRIDDED\n", + " model_reference_date: 2000-01-01 00:00:00\n", + " theta_s: 5.0\n", + " theta_b: 2.0\n", + " hc: 300.0\n", + " climatology: True" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bgc_boundary_forcing.ds" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "f9cde529-9e79-48c5-b321-5d65d2bc42da", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
          " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "bgc_boundary_forcing.plot(\"ALK_east\", time=0, layer_contours=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "6b940bcc-c841-4033-8af5-f9c078e03d5c", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/bgc_boundary_forcing_clim.nc')]" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bgc_boundary_forcing.save(f\"{target_dir}/bgc_boundary_forcing.nc\")" + ] + }, + { + "cell_type": "code", + "execution_count": 52, "id": "4c4831f0-de39-45b5-a7c8-5940e89a5d84", "metadata": { "tags": [] @@ -8435,8 +14013,8 @@ "source": [ "We created the following NetCDF files (filenames were returned by the `save()` method):\n", "\n", - "* Grid: `{target_dir}/grid.nc`\n", - "* Initial Conditions: `{target_dir}/initial_conditions.nc`\n", + "* Grid: `{target_dir}/roms_grd.nc`\n", + "* Initial Conditions: `{target_dir}/roms_ini.nc`\n", "* Tidal Forcing: `{target_dir}/tidal_forcing.nc`\n", "* Physical Surface Forcing: `{target_dir}/physical_surface_forcing_201208.nc`\n", "* BGC Surface Forcing: `{target_dir}/bgc_surface_forcing_2012.nc`\n", @@ -8451,8 +14029,8 @@ "source": [ "We also created the following YAML files that can be used to re-create the exact same `ROMS-Tools` objects and NetCDF files:\n", "\n", - "* Grid: `{target_dir}/grid.yaml`\n", - "* Initial Conditions: `{target_dir}/initial_conditions.yaml`\n", + "* Grid: `{target_dir}/roms_grd.yaml`\n", + "* Initial Conditions: `{target_dir}/roms_ini.yaml`\n", "* Tidal Forcing: `{target_dir}/tidal_forcing.yaml`\n", "* Physical Surface Forcing: `{target_dir}/physical_surface_forcing.yaml`\n", "* BGC Surface Forcing: `{target_dir}/bgc_surface_forcing.yaml`\n", @@ -8479,9 +14057,9 @@ ], "metadata": { "kernelspec": { - "display_name": "NERSC Python", + "display_name": "cstar_env_hpc", "language": "python", - "name": "python3" + "name": "cstar_env" }, "language_info": { "codemirror_mode": { @@ -8493,7 +14071,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.7" + "version": "3.12.5" } }, "nbformat": 4, From 2e16e9d975d23233d54287b5042852de9a65e53e Mon Sep 17 00:00:00 2001 From: Dafydd Date: Tue, 22 Oct 2024 11:14:17 -0700 Subject: [PATCH 14/31] update notebooks, roms_tools and pre-commit versions --- ci/environment.yml | 2 +- ci/environment_hpc.yml | 2 +- docs/2_importing_and_running_a_case.ipynb | 161 +++------------ docs/3_restarting_and_continuing_a_case.ipynb | 187 ++++++++++-------- .../cstar_blueprint_alpha_example.yaml | 14 +- pyproject.toml | 4 +- 6 files changed, 141 insertions(+), 229 deletions(-) diff --git a/ci/environment.yml b/ci/environment.yml index 5f9c99f..a459202 100644 --- a/ci/environment.yml +++ b/ci/environment.yml @@ -13,7 +13,7 @@ dependencies: - pytest - pip # testing - - pre-commit + - pre-commit==3.8.0 - coverage - pytest # docs diff --git a/ci/environment_hpc.yml b/ci/environment_hpc.yml index b0155ae..026269f 100644 --- a/ci/environment_hpc.yml +++ b/ci/environment_hpc.yml @@ -8,7 +8,7 @@ dependencies: - netCDF4 - pip # testing - - pre-commit + - pre-commit==3.8.0 - coverage - pytest # docs diff --git a/docs/2_importing_and_running_a_case.ipynb b/docs/2_importing_and_running_a_case.ipynb index d3998a3..f9456b7 100644 --- a/docs/2_importing_and_running_a_case.ipynb +++ b/docs/2_importing_and_running_a_case.ipynb @@ -30,7 +30,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 1, "id": "dcfdd8c2-ddf5-4738-9481-39280634d1f1", "metadata": {}, "outputs": [], @@ -53,7 +53,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 2, "id": "9156a7f4-e2e1-482e-a8c2-8b4aa92409b4", "metadata": { "tags": [] @@ -109,7 +109,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 3, "id": "0854c89c-6980-43dd-9015-10bd0e1d4aeb", "metadata": { "tags": [] @@ -144,7 +144,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 4, "id": "6a699b18-a9a1-4ce9-847d-2181fcacdec6", "metadata": { "tags": [] @@ -183,7 +183,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 5, "id": "f6f5fe12-f2bf-4eed-91a7-28d78b059a5c", "metadata": { "tags": [] @@ -238,7 +238,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 6, "id": "df70a77c-58dc-413e-9d8f-76a07c3a135e", "metadata": { "tags": [] @@ -281,7 +281,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 7, "id": "d085f4c9-8051-4245-b64a-1aa6fcf67696", "metadata": { "tags": [] @@ -310,7 +310,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 8, "id": "7776fe27-6421-43e1-b787-82c3aea5ff03", "metadata": { "tags": [] @@ -324,7 +324,7 @@ "ROMSInitialConditions\n", "---------------------\n", "Source location: https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_ini.yaml\n", - "file_hash: 1786e2d4cd321a4dad04a5ea35fefb92f508776c39643da9fb78e19dcb537988\n", + "file_hash: 9123b7e622ce9c3fb4020817739dae743818c26ac78c84b237769144412ee171\n", "Working path: None ( does not yet exist. Call InputDataset.get() )\n" ] } @@ -362,7 +362,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 9, "id": "5972a473-325d-4ca5-8779-4d77abe52461", "metadata": { "tags": [] @@ -395,7 +395,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 10, "id": "05fa6474-acb6-43ea-863f-1de4e751a8af", "metadata": { "tags": [] @@ -474,7 +474,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 16, "id": "a9280f90-fec9-429b-b28d-da7976fea3da", "metadata": { "tags": [] @@ -484,110 +484,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "\n", - "Setting up MARBLComponent\n", - "--------------------------\n", - "Configuring MARBLComponent\n", - "--------------------------\n", - "#######################################################\n", - "C-STAR: MARBL_ROOT not found in current environment. \n", - "if this is your first time running C-Star with an instance of MARBLBaseModel, you will need to set it up.\n", - "It is recommended that you install this base model in \n", - "/global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/externals/MARBL\n", - "This will also modify your `cstar_local_config.py` file.\n", - "#######################################################\n" - ] - }, - { - "name": "stdin", - "output_type": "stream", - "text": [ - "Would you like to do this now? ('y', 'n', or 'custom' to install at a custom path)\n", - " y\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cloned repository https://github.com/marbl-ecosys/MARBL.git to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/externals/MARBL\n", - "Checked out marbl0.45.0 in git repository /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/externals/MARBL\n", - "Updating environment in C-Star configuration file /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/cstar_local_config.py\n", - "Compiling MARBL...\n", - "MARBL successfully installed at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/externals/MARBL\n", - "\n", - "Setting up ROMSComponent\n", - "-------------------------\n", - "Configuring ROMSComponent\n", - "-------------------------\n", - "#######################################################\n", - "C-STAR: ROMS_ROOT not found in current environment. \n", - "if this is your first time running C-Star with an instance of ROMSBaseModel, you will need to set it up.\n", - "It is recommended that you install this base model in \n", - "/global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/externals/ucla-roms\n", - "This will also modify your `cstar_local_config.py` file.\n", - "#######################################################\n" - ] - }, - { - "name": "stdin", - "output_type": "stream", - "text": [ - "Would you like to do this now? ('y', 'n', or 'custom' to install at a custom path)\n", - " y\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cloned repository https://github.com/CESR-lab/ucla-roms.git to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/externals/ucla-roms\n", - "Checked out 594ac425e9dbe663ce48ced0915c0007c6cca843 in git repository /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/externals/ucla-roms\n", - "Compiling UCLA ROMS' NHMG library...\n", - "Compiling Tools-Roms package for UCLA ROMS...\n", - "UCLA-ROMS is installed at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/externals/ucla-roms\n", - "\n", - "Fetching additional source code...\n", - "----------------------------------\n", - "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpyljufp32\n", - "Checked out cstar_alpha in git repository /tmp/tmpyljufp32\n", - "copying bgc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", - "copying bulk_frc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", - "copying cppdefs.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", - "copying diagnostics.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", - "copying ocean_vars.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", - "copying param.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", - "copying tracers.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", - "copying Makefile to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", - "copying Make.depend to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", - "\n", - "Fetching namelists... \n", - "----------------------\n", - "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmp9hqs8xyz\n", - "Checked out cstar_alpha in git repository /tmp/tmp9hqs8xyz\n", - "copying roms.in_TEMPLATE to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", - "copying template file /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in_TEMPLATE to editable version /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in\n", - "copying marbl_in to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", - "copying marbl_tracer_output_list to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", - "copying marbl_diagnostic_output_list to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", - "\n", - "Fetching input datasets...\n", - "--------------------------\n", - "A file by the name of roms_grd.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_grd.yaml...\n", - "A file by the name of roms_ini.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", - "Selected time entry closest to the specified start_time (2012-01-01 12:00:00) within the range [2012-01-01 12:00:00, 2012-01-02 12:00:00]: ['2012-01-01T12:00:00.000000000']\n", - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_ini.yaml...\n", - "A file by the name of roms_tides.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_tides.yaml...\n", - "A file by the name of roms_bry.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry.yaml...\n", - "A file by the name of roms_bry_bgc.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry_bgc.yaml...\n", - "A file by the name of roms_frc.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc.yaml...\n", - "A file by the name of roms_frc_bgc.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc_bgc.yaml...\n" + "This case appears to have already been set up at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case\n" ] } ], @@ -606,7 +503,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 12, "id": "50d7a445-378d-4ecb-9322-d0e181eeec90", "metadata": { "tags": [] @@ -635,7 +532,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 13, "id": "5283a931-a32c-4b3c-8934-f2f5a4097809", "metadata": { "tags": [] @@ -677,7 +574,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 14, "id": "31d9f08e-481d-415f-9605-1c46164c5e49", "metadata": { "tags": [] @@ -690,7 +587,7 @@ "\n", "Running ROMS: \n", "------------\n", - "Submitted batch job 31761927\n" + "Submitted batch job 32061052\n" ] } ], @@ -725,7 +622,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 15, "id": "8039fa7a-7eb6-4ec6-a42f-c05f67eea6b9", "metadata": { "tags": [] @@ -736,8 +633,8 @@ "output_type": "stream", "text": [ " JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)\n", - " 31761927 shared_mi my_case_ dafydd PD 0:00 1 (Priority)\n", - " 31756993 urgent_mi jupyter dafydd R 2:32:00 1 nid004182\n" + " 32061052 shared_mi my_case_ dafydd PD 0:00 1 (Priority)\n", + " 32060940 urgent_mi jupyter dafydd R 8:31 1 nid004240\n" ] } ], @@ -758,7 +655,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 18, "id": "9de44981-6e2d-4b9c-ab9d-64fe12a73d65", "metadata": { "tags": [] @@ -771,13 +668,13 @@ "\n", "Completing post-processing steps for ROMSComponent\n", "---------------------------------------------------\n", - "Joining netCDF files ROMS_MARBL_bgc.20120101120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_bgc_dia.20120101120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120102120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120103120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120102120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120103120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120101120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120102120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120103120000.*.nc...\n" + "Joining netCDF files ROMS_MARBL_bgc_dia.20120101120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_bgc.20120101120000.*.nc...\n" ] } ], @@ -802,7 +699,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 19, "id": "0eeb0d73-1120-4216-b5be-2e909662d853", "metadata": { "tags": [] @@ -810,7 +707,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
          " ] @@ -840,8 +737,8 @@ "# Plot the data\n", "cmap=plt.get_cmap('Spectral_r')\n", "cmap.set_bad('gray')\n", - "vmin = min(ini_data.where(ini_data!=0).min(), rst_data.where(rst_data!=0).min())\n", - "vmax = max(ini_data.where(ini_data!=0).max(), rst_data.where(rst_data!=0).max())\n", + "vmin = min(ini_data.where(grd_ds.mask_rho).min(), rst_data.where(grd_ds.mask_rho).min())\n", + "vmax = max(ini_data.where(grd_ds.mask_rho).max(), rst_data.where(grd_ds.mask_rho).max())\n", "kwargs = {\"cmap\": cmap, \"vmin\": vmin, \"vmax\": vmax}\n", "p0=ax[0].pcolormesh(grd_ds.lon_rho, grd_ds.lat_rho, ini_data, transform=ccrs.PlateCarree(), **kwargs)\n", "p1=ax[1].pcolormesh(grd_ds.lon_rho, grd_ds.lat_rho, rst_data, transform=ccrs.PlateCarree(), **kwargs)\n", diff --git a/docs/3_restarting_and_continuing_a_case.ipynb b/docs/3_restarting_and_continuing_a_case.ipynb index 3678b28..fe0d835 100644 --- a/docs/3_restarting_and_continuing_a_case.ipynb +++ b/docs/3_restarting_and_continuing_a_case.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "89d13ed1-eee3-42c8-ae22-e5d589319334", + "id": "9635eff8-b380-4ab2-bdbd-6802e12918f4", "metadata": {}, "source": [ "# Restarting & continuing a `Case`\n", @@ -15,7 +15,7 @@ }, { "cell_type": "markdown", - "id": "51f14323-5234-45dc-8bbe-b4143c458c9f", + "id": "bc5399c7-45a3-49cb-a3c0-456e9d2a237a", "metadata": {}, "source": [ "## Restarting our Case\n", @@ -25,8 +25,8 @@ }, { "cell_type": "code", - "execution_count": 32, - "id": "665950de-5a88-4c2c-b123-52bd4bd8f1f9", + "execution_count": 20, + "id": "3513e0ce-47d5-4b1e-a6fb-ec37c4a1e9dc", "metadata": { "tags": [] }, @@ -37,7 +37,7 @@ }, { "cell_type": "markdown", - "id": "0a80d64e-e6b4-4342-b01e-913ee0866299", + "id": "ad75391b-1669-4757-86ce-7c9290a61415", "metadata": {}, "source": [ "Taking a look at the ROMS component, We can see that the initial conditions have been changed:" @@ -45,8 +45,8 @@ }, { "cell_type": "code", - "execution_count": 33, - "id": "59780f43-9503-486d-921d-ed601a652162", + "execution_count": 21, + "id": "2bb193c8-d3a5-4111-ad6c-9a8cc1207e0f", "metadata": { "tags": [] }, @@ -60,7 +60,7 @@ ")" ] }, - "execution_count": 33, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -71,7 +71,7 @@ }, { "cell_type": "markdown", - "id": "0d1fec81-d9d7-411e-ba00-f1801e2db612", + "id": "d9dee3e3-6874-4a35-ba58-a0e8291180d6", "metadata": {}, "source": [ "## Increasing the time step" @@ -79,7 +79,7 @@ }, { "cell_type": "markdown", - "id": "18fc0b76-0513-4788-9dc8-2407464e88cd", + "id": "13348af2-5606-48cd-8565-3c03c8c69d60", "metadata": {}, "source": [ "If we want to increase the time step for our second run, we will have to manually change the `time_step` entry under `ROMSComponent.discretization`:" @@ -87,8 +87,8 @@ }, { "cell_type": "code", - "execution_count": 25, - "id": "97d0b5cd-825a-4f8d-b681-0f9384bd9672", + "execution_count": 22, + "id": "6a39f0ed-736a-4aff-aa7e-3f8a2b776d34", "metadata": { "tags": [] }, @@ -110,7 +110,7 @@ ")" ] }, - "execution_count": 25, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -121,8 +121,8 @@ }, { "cell_type": "code", - "execution_count": 26, - "id": "bc8c8bb2-4594-43ae-9c00-ef6e8438d8c0", + "execution_count": 23, + "id": "add6e147-89d4-4122-b67b-af04f0e757e2", "metadata": { "tags": [] }, @@ -133,7 +133,7 @@ }, { "cell_type": "markdown", - "id": "65b89dae-cd42-4059-af12-82529a80541d", + "id": "1e654b6a-fec2-4771-98fe-e85bebceb84f", "metadata": {}, "source": [ "We can now take a look at our `Case` and see everything is as expected:" @@ -141,8 +141,8 @@ }, { "cell_type": "code", - "execution_count": 50, - "id": "f1554004-6a34-4882-bfe7-5e8b3007fef2", + "execution_count": 24, + "id": "970ee3b8-d37d-4b93-a6bb-d64389642405", "metadata": { "tags": [] }, @@ -176,7 +176,7 @@ "])" ] }, - "execution_count": 50, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -187,7 +187,7 @@ }, { "cell_type": "markdown", - "id": "efbb2583-fe71-4f4a-934e-4a3f0965c979", + "id": "95c80f74-7c59-4bbd-97af-06bc37f19ba0", "metadata": {}, "source": [ "Now we run through the other steps as normal:" @@ -195,8 +195,8 @@ }, { "cell_type": "code", - "execution_count": 27, - "id": "6e60943a-65ad-4f56-8dab-961d1d911cae", + "execution_count": 30, + "id": "1459192a-b97f-4b85-a675-4f98959073a9", "metadata": { "tags": [] }, @@ -220,8 +220,8 @@ "\n", "Fetching additional source code...\n", "----------------------------------\n", - "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpnavl6z5s\n", - "Checked out cstar_alpha_testing in git repository /tmp/tmpnavl6z5s\n", + "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmp4f9_8ach\n", + "Checked out cstar_alpha in git repository /tmp/tmp4f9_8ach\n", "copying bgc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", "copying bulk_frc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", "copying cppdefs.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", @@ -234,8 +234,8 @@ "\n", "Fetching namelists... \n", "----------------------\n", - "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpm9kgtbrp\n", - "Checked out cstar_alpha_testing in git repository /tmp/tmpm9kgtbrp\n", + "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpy4t_fif8\n", + "Checked out cstar_alpha in git repository /tmp/tmpy4t_fif8\n", "copying roms.in_TEMPLATE to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", "copying template file /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in_TEMPLATE to editable version /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in\n", "copying marbl_in to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", @@ -290,8 +290,8 @@ }, { "cell_type": "code", - "execution_count": 28, - "id": "604f6a1a-3ddb-412c-b90f-c545b4342b5a", + "execution_count": 31, + "id": "1158614e-25d9-451e-8e78-a57760255769", "metadata": { "tags": [] }, @@ -303,7 +303,7 @@ "\n", "Running ROMS: \n", "------------\n", - "Submitted batch job 31731623\n" + "Submitted batch job 32061806\n" ] } ], @@ -313,8 +313,8 @@ }, { "cell_type": "code", - "execution_count": 30, - "id": "7cb3f1f9-8f4e-48ec-b55f-73b1950d0029", + "execution_count": 32, + "id": "04f7a5a6-ce72-4b5f-8f3b-e21b62d0081b", "metadata": { "tags": [] }, @@ -324,8 +324,8 @@ "output_type": "stream", "text": [ " JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)\n", - " 31731623 shared_mi my_case_ dafydd R 2:21 1 nid004129\n", - " 31729796 urgent_mi jupyter dafydd R 54:04 1 nid004179\n" + " 32061806 shared_mi my_case_ dafydd PD 0:00 1 (Priority)\n", + " 32060940 urgent_mi jupyter dafydd R 53:37 1 nid004240\n" ] } ], @@ -336,7 +336,7 @@ }, { "cell_type": "markdown", - "id": "9bc87831-f69e-4479-9548-9c43a2f56e7a", + "id": "4278e32c-14ad-4f32-b4e3-ffa79e8387b1", "metadata": {}, "source": [ "Once again, we have to wait for the job to finish before proceeding..." @@ -344,8 +344,8 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "bdb712de-f061-48ed-9281-9b58a070a83e", + "execution_count": 33, + "id": "3b78c969-74ff-47f6-a943-33b5ae8c1005", "metadata": { "tags": [] }, @@ -357,51 +357,65 @@ "\n", "Completing post-processing steps for ROMSComponent\n", "---------------------------------------------------\n", + "Joining netCDF files ROMS_MARBL_his.20120112120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120120120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120108120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120126120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120103120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120125120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120119120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120109120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120131120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120113120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120122120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120124120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120128120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120112120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120108120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120113120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120114120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120119120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120104120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120117120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120107120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120109120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120126120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_bgc_dia.20120103120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120129120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120117120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120116120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120106120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120121120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120125120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120114120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120124120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120122120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120130120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120130120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120118120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120110120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120125120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120128120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120119120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120118120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120127120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120129120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120130120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120121120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120111120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120115120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120129120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120120120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120107120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120111120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120114120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120110120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120123120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120104120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120105120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120104120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120115120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120116120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120112120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120105120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_bgc.20120103120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120106120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120124120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120105120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120107120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120110120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120123120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120114120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120131120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120115120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120103120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120122120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120109120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120113120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120106120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120117120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120108120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120130120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120128120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120125120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120120120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120126120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120123120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120129120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120127120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120104120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_bgc_dia.20120103120000.*.nc...\n" + "Joining netCDF files ROMS_MARBL_rst.20120116120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120128120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120111120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120111120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120127120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120115120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120122120000.*.nc...\n" ] } ], @@ -411,7 +425,7 @@ }, { "cell_type": "markdown", - "id": "4b815005-615f-4078-8ae2-92728c988d08", + "id": "fea71fd2-4dd1-4580-bab8-dd5feb461beb", "metadata": {}, "source": [ "## Some basic analysis of the output\n", @@ -422,15 +436,15 @@ }, { "cell_type": "code", - "execution_count": 49, - "id": "26887f43-fa54-4536-9026-212ffd1555cc", + "execution_count": 37, + "id": "80b2b775-0cdd-4cb2-9491-ce38adc31287", "metadata": { "tags": [] }, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
          " ] @@ -446,7 +460,7 @@ "import datetime as dt\n", "import cartopy.feature as cfeature\n", "\n", - "BGC_DS = xr.open_dataset(example_case_2.caseroot / 'output/ROMS_MARBL_bgc.20120103120000.nc')\n", + "BGC_DS = xr.open_dataset(example_case_2.caseroot / 'output/ROMS_MARBL_bgc.20120103120000.nc') # this contains 6-hourly data, with the date in the filename reflecting the first time entry\n", "GRD_DS = xr.open_dataset(example_case_2.caseroot / 'input_datasets/ROMS/roms_grd.nc')\n", "lon,lat=GRD_DS.lon_rho,GRD_DS.lat_rho\n", "output_time=[dt.datetime(2000,1,1)+dt.timedelta(seconds=t) for t in BGC_DS.ocean_time.values]\n", @@ -457,7 +471,8 @@ "k_idx = 19\n", "t_idx = [0,-1]\n", "\n", - "BGC_DA = BGC_DS[var].isel(s_rho=k_idx)\n", + "# BGC_DA = BGC_DS[var].isel(s_rho=k_idx)\n", + "plot_data = BGC_DS[var].where(grd_ds.mask_rho).isel(s_rho=k_idx)\n", "\n", "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", @@ -466,29 +481,29 @@ "\n", "fig = plt.figure()\n", "cmap=plt.get_cmap('Spectral_r')\n", - "cmap.set_under('grey')\n", + "cmap.set_bad('grey')\n", "\n", "gs = GridSpec(3, 2, figure=fig, hspace=0.5)\n", "\n", "# time series\n", "ax1 = fig.add_subplot(gs[0, :])\n", "\n", - "ax1.plot(output_time,BGC_DA[:,j_idx,i_idx])\n", + "ax1.plot(output_time,plot_data[:,j_idx,i_idx])\n", "ax1.set_xlim(output_time[0],output_time[-1])\n", "ax1.set_xlabel('time')\n", - "ax1.plot(output_time[t_idx[0]],BGC_DA[t_idx[0],j_idx,i_idx],'kx')\n", - "ax1.plot(output_time[t_idx[-1]],BGC_DA[t_idx[-1],j_idx,i_idx],'kx')\n", + "ax1.plot(output_time[t_idx[0]],plot_data[t_idx[0],j_idx,i_idx],'kx')\n", + "ax1.plot(output_time[t_idx[-1]],plot_data[t_idx[-1],j_idx,i_idx],'kx')\n", "\n", "\n", "# Maps\n", "ax2 = fig.add_subplot(gs[1:, 0],projection=ccrs.PlateCarree())\n", "ax3 = fig.add_subplot(gs[1:, 1],projection=ccrs.PlateCarree())\n", "\n", - "VMIN = np.min(BGC_DA.values[BGC_DA.values > 0])\n", - "VMAX = np.max(BGC_DA.values[BGC_DA.values > 0])\n", + "VMIN = np.min(plot_data.values[plot_data.values > 0])\n", + "VMAX = np.max(plot_data.values[plot_data.values > 0])\n", "\n", - "p2 = ax2.pcolormesh(lon,lat,BGC_DA.isel(time=0).values, vmin=VMIN, vmax=VMAX, cmap=CMAP)\n", - "p3 = ax3.pcolormesh(lon,lat,BGC_DA.isel(time=-1).values, vmin=VMIN, vmax=VMAX, cmap=CMAP)\n", + "p2 = ax2.pcolormesh(lon,lat,plot_data.isel(time=0).values, vmin=VMIN, vmax=VMAX, cmap=cmap)\n", + "p3 = ax3.pcolormesh(lon,lat,plot_data.isel(time=-1).values, vmin=VMIN, vmax=VMAX, cmap=cmap)\n", "[a.set_xticks([]) for a in [ax2, ax3]]\n", "[a.set_yticks([]) for a in [ax2, ax3]]\n", "\n", diff --git a/examples/alpha_example/cstar_blueprint_alpha_example.yaml b/examples/alpha_example/cstar_blueprint_alpha_example.yaml index f431b01..7ca9743 100644 --- a/examples/alpha_example/cstar_blueprint_alpha_example.yaml +++ b/examples/alpha_example/cstar_blueprint_alpha_example.yaml @@ -45,20 +45,20 @@ components: - "marbl_diagnostic_output_list" model_grid: location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_grd.yaml' - file_hash: '3dae89176cfb9f4e91591266da451a7a2accd43ef39a3ab6701c46f42f5e4690' + file_hash: 'f807a71fa424bb5bf481dd6cf5cbcad826a952d3e7842e39516bd21d51a5fab1' initial_conditions: location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_ini.yaml' - file_hash: '1786e2d4cd321a4dad04a5ea35fefb92f508776c39643da9fb78e19dcb537988' + file_hash: '9123b7e622ce9c3fb4020817739dae743818c26ac78c84b237769144412ee171' tidal_forcing: location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_tides.yaml' - file_hash: '3ea029d46edbd5e145f4aba959e4fd3db7beceb3150c7a330be3b88f993253b5' + file_hash: '07058b7c52422dd0c400217cddb407977eae07ded3e2a10d61cf357bed1dfef8' boundary_forcing: - location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_bry.yaml' - file_hash: '940f84b558ee609fe2165a2acfdd6038c024c241e17a20078d98ce7c51f76f2c' + file_hash: 'c9644d93549ed20212b47e5cb6bb760f1810d3282072c6dac7a91fa08efc730c' - location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_bry_bgc.yaml' - file_hash: '409f8750604d74afa657511890a76a13a9df0775a928f23f2f5b6da32c83e43d' + file_hash: '9f5587c53299206eaeb06b7eedb3fac99131ab4d8c477cf4836c1b35c15706b6' surface_forcing: - location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_frc.yaml' - file_hash: '20746eda08c5da9b2ae4d2af3b981f21fe5ab2f11bc197916ce6da55c0547417' + file_hash: '4c3efd64abd224bdd64800eba38414d4a98bfb425158300d361676403dbf4ddf' - location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_frc_bgc.yaml' - file_hash: 'a7eea7e73ea34da250f071c13e3bd8c598cfb775136653756528d74191f8988a' + file_hash: '834a16968abdb890aa37e2e130c267d119f3fac40dc0d2ccca35a52a9223155a' diff --git a/pyproject.toml b/pyproject.toml index fdb2b7f..13079e0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -27,7 +27,7 @@ dependencies = [ "python-dateutil>=2.8.2", "PyYAML==6.0.2", "pooch>=1.8.1", - "roms_tools[dask]>=1.4.0" + "roms_tools[dask]>=1.4.2" ] keywords = ["MCDR", "CDR", "ocean carbon", "climate"] @@ -35,7 +35,7 @@ keywords = ["MCDR", "CDR", "ocean carbon", "climate"] [project.optional-dependencies] test = [ "pytest>=7.0", - "roms_tools[dask]==1.4.0" + "roms_tools[dask]==1.4.2" ] dev =[] From 7854a8d2c25679637464b9b9297aab8c37403ed8 Mon Sep 17 00:00:00 2001 From: Dafydd Date: Tue, 22 Oct 2024 15:32:56 -0700 Subject: [PATCH 15/31] update installation instructions until issue #147 resolved --- docs/installation.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/installation.md b/docs/installation.md index b387306..f80aada 100644 --- a/docs/installation.md +++ b/docs/installation.md @@ -25,6 +25,6 @@ conda activate cstar_env Finally, install `C-Star` in the same environment: ``` -pip install . +pip install -e . ``` From e62769f1990e4a4c10ffe2b175fcfdea0893a3e9 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=80=9CDafydd?= <“dafydd_stephenson@hotmail.com”> Date: Wed, 23 Oct 2024 16:39:02 -0600 Subject: [PATCH 16/31] restructure tests directory --- .github/workflows/integration_tests.yaml | 59 +++++++++++++++++++ .github/workflows/unit_tests.yaml | 58 ++++++++++++++++++ ...ueprint_with_netcdf_datasets_template.yaml | 0 ...blueprint_with_yaml_datasets_template.yaml | 0 .../blueprints/fixtures.py | 0 cstar/tests/{ => integration_tests}/config.py | 8 +-- .../tests/{ => integration_tests}/conftest.py | 6 +- .../{roms => integration_tests}/fixtures.py | 6 +- .../test_cstar_test_blueprints.py | 2 +- .../{ => integration_tests}/test_fixtures.py | 4 +- cstar/tests/roms/__init__.py | 0 11 files changed, 131 insertions(+), 12 deletions(-) create mode 100644 .github/workflows/integration_tests.yaml create mode 100644 .github/workflows/unit_tests.yaml rename cstar/tests/{ => integration_tests}/blueprints/cstar_blueprint_with_netcdf_datasets_template.yaml (100%) rename cstar/tests/{ => integration_tests}/blueprints/cstar_blueprint_with_yaml_datasets_template.yaml (100%) rename cstar/tests/{ => integration_tests}/blueprints/fixtures.py (100%) rename cstar/tests/{ => integration_tests}/config.py (82%) rename cstar/tests/{ => integration_tests}/conftest.py (71%) rename cstar/tests/{roms => integration_tests}/fixtures.py (98%) rename cstar/tests/{roms => integration_tests}/test_cstar_test_blueprints.py (98%) rename cstar/tests/{ => integration_tests}/test_fixtures.py (97%) delete mode 100644 cstar/tests/roms/__init__.py diff --git a/.github/workflows/integration_tests.yaml b/.github/workflows/integration_tests.yaml new file mode 100644 index 0000000..ff87643 --- /dev/null +++ b/.github/workflows/integration_tests.yaml @@ -0,0 +1,59 @@ +name: integration_tests + +on: + push: + branches: + - '*' + pull_request: + branches: + - '*' + +jobs: + + test: + name: integration-${{ matrix.python-version }} + runs-on: ubuntu-latest + strategy: + matrix: + python-version: ["3.12",] + steps: + - uses: actions/checkout@v4 + + - name: Create conda environment + uses: mamba-org/setup-micromamba@v1 + with: + cache-downloads: true + cache-environment: true + micromamba-version: 'latest' + environment-file: ci/environment.yml + create-args: | + python=${{ matrix.python-version }} + + - name: Environment info + shell: micromamba-shell {0} + run: | + conda info + printenv + + - name: Install C-Star + shell: micromamba-shell {0} + run: | + python - V + python -m pip install -e . --force-reinstall + + - name: Running Tests + shell: micromamba-shell {0} + run: | + python -V + coverage run --rcfile=coverage.toml -m pytest -s --verbose cstar/tests/integration_tests/* + + - name: Get coverage report + shell: micromamba-shell {0} + run: | + coverage report -m ; coverage xml + + - name: Upload coverage reports to Codecov + uses: codecov/codecov-action@v4.0.1 + with: + token: ${{ secrets.CODECOV_TOKEN }} + files: ./coverage.xml diff --git a/.github/workflows/unit_tests.yaml b/.github/workflows/unit_tests.yaml new file mode 100644 index 0000000..a4dd16e --- /dev/null +++ b/.github/workflows/unit_tests.yaml @@ -0,0 +1,58 @@ +name: unit_tests + +on: + push: + branches: + - '*' + pull_request: + branches: + - '*' + +jobs: + test: + name: unit-${{ matrix.python-version }} + runs-on: ubuntu-latest + strategy: + matrix: + python-version: ["3.12",] + steps: + - uses: actions/checkout@v4 + + - name: Create conda environment + uses: mamba-org/setup-micromamba@v1 + with: + cache-downloads: true + cache-environment: true + micromamba-version: 'latest' + environment-file: ci/environment.yml + create-args: | + python=${{ matrix.python-version }} + + - name: Environment info + shell: micromamba-shell {0} + run: | + conda info + printenv + + - name: Install C-Star + shell: micromamba-shell {0} + run: | + python - V + python -m pip install -e . --force-reinstall + + - name: Running Tests + shell: micromamba-shell {0} + run: | + python -V + coverage run --rcfile=coverage.toml -m pytest -s --verbose cstar/tests/unit_tests/* + + - name: Get coverage report + shell: micromamba-shell {0} + run: | + coverage report -m ; coverage xml + + - name: Upload coverage reports to Codecov + uses: codecov/codecov-action@v4.0.1 + with: + token: ${{ secrets.CODECOV_TOKEN }} + files: ./coverage.xml diff --git a/cstar/tests/blueprints/cstar_blueprint_with_netcdf_datasets_template.yaml b/cstar/tests/integration_tests/blueprints/cstar_blueprint_with_netcdf_datasets_template.yaml similarity index 100% rename from cstar/tests/blueprints/cstar_blueprint_with_netcdf_datasets_template.yaml rename to cstar/tests/integration_tests/blueprints/cstar_blueprint_with_netcdf_datasets_template.yaml diff --git a/cstar/tests/blueprints/cstar_blueprint_with_yaml_datasets_template.yaml b/cstar/tests/integration_tests/blueprints/cstar_blueprint_with_yaml_datasets_template.yaml similarity index 100% rename from cstar/tests/blueprints/cstar_blueprint_with_yaml_datasets_template.yaml rename to cstar/tests/integration_tests/blueprints/cstar_blueprint_with_yaml_datasets_template.yaml diff --git a/cstar/tests/blueprints/fixtures.py b/cstar/tests/integration_tests/blueprints/fixtures.py similarity index 100% rename from cstar/tests/blueprints/fixtures.py rename to cstar/tests/integration_tests/blueprints/fixtures.py diff --git a/cstar/tests/config.py b/cstar/tests/integration_tests/config.py similarity index 82% rename from cstar/tests/config.py rename to cstar/tests/integration_tests/config.py index ecc0b40..36ab9ac 100644 --- a/cstar/tests/config.py +++ b/cstar/tests/integration_tests/config.py @@ -35,7 +35,7 @@ def _get_test_directory(): # Remote cases: # NetCDF "test_case_remote_with_netcdf_datasets": { - "template_blueprint_path": f"{TEST_DIRECTORY}/blueprints/cstar_blueprint_with_netcdf_datasets_template.yaml", + "template_blueprint_path": f"{TEST_DIRECTORY}/integration_tests/blueprints/cstar_blueprint_with_netcdf_datasets_template.yaml", "strs_to_replace": { "": "https://github.com/CWorthy-ocean/cstar_blueprint_test_case/raw/main/input_datasets/ROMS", "": "https://github.com/CWorthy-ocean/cstar_blueprint_test_case.git", @@ -43,7 +43,7 @@ def _get_test_directory(): }, # YAML "test_case_remote_with_yaml_datasets": { - "template_blueprint_path": f"{TEST_DIRECTORY}/blueprints/cstar_blueprint_with_yaml_datasets_template.yaml", + "template_blueprint_path": f"{TEST_DIRECTORY}/integration_tests/blueprints/cstar_blueprint_with_yaml_datasets_template.yaml", "strs_to_replace": { "": "https://github.com/CWorthy-ocean/cstar_blueprint_test_case/raw/main/roms_tools_yaml_files", "": "https://github.com/CWorthy-ocean/cstar_blueprint_test_case.git", @@ -52,7 +52,7 @@ def _get_test_directory(): # Local cases: # NetCDF "test_case_local_with_netcdf_datasets": { - "template_blueprint_path": f"{TEST_DIRECTORY}/blueprints/cstar_blueprint_with_netcdf_datasets_template.yaml", + "template_blueprint_path": f"{TEST_DIRECTORY}/integration_tests/blueprints/cstar_blueprint_with_netcdf_datasets_template.yaml", "strs_to_replace": { "": f"{CSTAR_TEST_DATA_DIRECTORY/'input_datasets/ROMS'}", "": f"{CSTAR_TEST_DATA_DIRECTORY}", @@ -60,7 +60,7 @@ def _get_test_directory(): }, # YAML "test_case_local_with_yaml_datasets": { - "template_blueprint_path": f"{TEST_DIRECTORY}/blueprints/cstar_blueprint_with_yaml_datasets_template.yaml", + "template_blueprint_path": f"{TEST_DIRECTORY}/integration_tests/blueprints/cstar_blueprint_with_yaml_datasets_template.yaml", "strs_to_replace": { "": f"{CSTAR_TEST_DATA_DIRECTORY/'roms_tools_yaml_files'}", "": f"{CSTAR_TEST_DATA_DIRECTORY}", diff --git a/cstar/tests/conftest.py b/cstar/tests/integration_tests/conftest.py similarity index 71% rename from cstar/tests/conftest.py rename to cstar/tests/integration_tests/conftest.py index 2bf8304..7c9656a 100644 --- a/cstar/tests/conftest.py +++ b/cstar/tests/integration_tests/conftest.py @@ -1,6 +1,6 @@ -from cstar.tests.roms.fixtures import fetch_roms_tools_source_data # noqa: F401 -from cstar.tests.roms.fixtures import fetch_remote_test_case_data # noqa: F401 -from cstar.tests.blueprints.fixtures import modify_template_blueprint # noqa : F401 +from cstar.tests.integration_tests.fixtures import fetch_roms_tools_source_data # noqa: F401 +from cstar.tests.integration_tests.fixtures import fetch_remote_test_case_data # noqa: F401 +from cstar.tests.integration_tests.blueprints.fixtures import modify_template_blueprint # noqa : F401 import builtins from contextlib import contextmanager diff --git a/cstar/tests/roms/fixtures.py b/cstar/tests/integration_tests/fixtures.py similarity index 98% rename from cstar/tests/roms/fixtures.py rename to cstar/tests/integration_tests/fixtures.py index 5fed73c..142ea08 100644 --- a/cstar/tests/roms/fixtures.py +++ b/cstar/tests/integration_tests/fixtures.py @@ -5,8 +5,10 @@ from typing import Callable from pathlib import Path -from cstar.tests.config import ROMS_TOOLS_DATA_DIRECTORY, CSTAR_TEST_DATA_DIRECTORY -# TEST ALL THESE FIXTURES +from cstar.tests.integration_tests.config import ( + ROMS_TOOLS_DATA_DIRECTORY, + CSTAR_TEST_DATA_DIRECTORY, +) @pytest.fixture diff --git a/cstar/tests/roms/test_cstar_test_blueprints.py b/cstar/tests/integration_tests/test_cstar_test_blueprints.py similarity index 98% rename from cstar/tests/roms/test_cstar_test_blueprints.py rename to cstar/tests/integration_tests/test_cstar_test_blueprints.py index 21f5b2c..42c6be9 100644 --- a/cstar/tests/roms/test_cstar_test_blueprints.py +++ b/cstar/tests/integration_tests/test_cstar_test_blueprints.py @@ -1,6 +1,6 @@ import pytest from cstar import Case -from cstar.tests.config import TEST_CONFIG +from cstar.tests.integration_tests.config import TEST_CONFIG class TestCStar: diff --git a/cstar/tests/test_fixtures.py b/cstar/tests/integration_tests/test_fixtures.py similarity index 97% rename from cstar/tests/test_fixtures.py rename to cstar/tests/integration_tests/test_fixtures.py index a8d13b6..9be8179 100644 --- a/cstar/tests/test_fixtures.py +++ b/cstar/tests/integration_tests/test_fixtures.py @@ -3,7 +3,7 @@ import yaml from pathlib import Path from _pytest._py.path import LocalPath -from cstar.tests.config import ( +from cstar.tests.integration_tests.config import ( ROMS_TOOLS_DATA_DIRECTORY, CSTAR_TEST_DATA_DIRECTORY, TEST_DIRECTORY, @@ -35,7 +35,7 @@ def test_modify_template_blueprint(modify_template_blueprint, tmpdir): """ test_blueprint = modify_template_blueprint( template_blueprint_path=TEST_DIRECTORY - / "blueprints/cstar_blueprint_with_netcdf_datasets_template.yaml", + / "integration_tests/blueprints/cstar_blueprint_with_netcdf_datasets_template.yaml", strs_to_replace={ "": "https://github.com/CWorthy-ocean/cstar_blueprint_test_case.git" }, diff --git a/cstar/tests/roms/__init__.py b/cstar/tests/roms/__init__.py deleted file mode 100644 index e69de29..0000000 From 3b78254c7b67dda04b8abcf35b01cbee4db94710 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=80=9CDafydd?= <“dafydd_stephenson@hotmail.com”> Date: Wed, 23 Oct 2024 18:27:42 -0600 Subject: [PATCH 17/31] add temporary 'test_nothing.py' so github workflow doesn't fail on unit test collection --- cstar/tests/unit_tests/base/test_nothing.py | 2 ++ 1 file changed, 2 insertions(+) create mode 100644 cstar/tests/unit_tests/base/test_nothing.py diff --git a/cstar/tests/unit_tests/base/test_nothing.py b/cstar/tests/unit_tests/base/test_nothing.py new file mode 100644 index 0000000..a3e981b --- /dev/null +++ b/cstar/tests/unit_tests/base/test_nothing.py @@ -0,0 +1,2 @@ +def test_nothing(): + pass From a4048bc986999a9a381ab91a7bf75970f2a095c2 Mon Sep 17 00:00:00 2001 From: Dafydd Date: Thu, 24 Oct 2024 13:10:58 -0700 Subject: [PATCH 18/31] update notebook plotting cells to close datasets --- docs/2_importing_and_running_a_case.ipynb | 86 ++++++-- docs/3_restarting_and_continuing_a_case.ipynb | 183 +++++++++--------- 2 files changed, 163 insertions(+), 106 deletions(-) diff --git a/docs/2_importing_and_running_a_case.ipynb b/docs/2_importing_and_running_a_case.ipynb index f9456b7..179b309 100644 --- a/docs/2_importing_and_running_a_case.ipynb +++ b/docs/2_importing_and_running_a_case.ipynb @@ -158,7 +158,7 @@ "--------------\n", "source_repo : https://github.com/marbl-ecosys/MARBL.git (default)\n", "checkout_target : marbl0.45.0 (corresponding to hash 6e6b2f7c32ac5427e6cf46de4222973b8bcaa3d9)\n", - "local_config_status: 3 (Environment variable MARBL_ROOT is not present and it is assumed the base model is not installed locally)\n" + "local_config_status: 0 (Environment variable MARBL_ROOT is present, points to the correct repository remote, and is checked out at the correct hash)\n" ] } ], @@ -474,7 +474,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 11, "id": "a9280f90-fec9-429b-b28d-da7976fea3da", "metadata": { "tags": [] @@ -484,7 +484,60 @@ "name": "stdout", "output_type": "stream", "text": [ - "This case appears to have already been set up at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case\n" + "\n", + "Setting up MARBLComponent\n", + "--------------------------\n", + "Configuring MARBLComponent\n", + "--------------------------\n", + "MARBLBaseModel correctly configured. Nothing to be done\n", + "\n", + "Setting up ROMSComponent\n", + "-------------------------\n", + "Configuring ROMSComponent\n", + "-------------------------\n", + "ROMSBaseModel correctly configured. Nothing to be done\n", + "\n", + "Fetching additional source code...\n", + "----------------------------------\n", + "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpmaf2qxf4\n", + "Checked out cstar_alpha in git repository /tmp/tmpmaf2qxf4\n", + "copying bgc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", + "copying bulk_frc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", + "copying cppdefs.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", + "copying diagnostics.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", + "copying ocean_vars.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", + "copying param.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", + "copying tracers.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", + "copying Makefile to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", + "copying Make.depend to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", + "\n", + "Fetching namelists... \n", + "----------------------\n", + "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpdthrgoz6\n", + "Checked out cstar_alpha in git repository /tmp/tmpdthrgoz6\n", + "copying roms.in_TEMPLATE to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", + "copying template file /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in_TEMPLATE to editable version /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in\n", + "copying marbl_in to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", + "copying marbl_tracer_output_list to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", + "copying marbl_diagnostic_output_list to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", + "\n", + "Fetching input datasets...\n", + "--------------------------\n", + "A file by the name of roms_grd.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_grd.yaml...\n", + "A file by the name of roms_ini.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", + "Selected time entry closest to the specified start_time (2012-01-01 12:00:00) within the range [2012-01-01 12:00:00, 2012-01-02 12:00:00]: ['2012-01-01T12:00:00.000000000']\n", + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_ini.yaml...\n", + "A file by the name of roms_tides.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_tides.yaml...\n", + "A file by the name of roms_bry.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry.yaml...\n", + "A file by the name of roms_bry_bgc.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry_bgc.yaml...\n", + "A file by the name of roms_frc.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc.yaml...\n", + "A file by the name of roms_frc_bgc.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc_bgc.yaml...\n" ] } ], @@ -587,7 +640,7 @@ "\n", "Running ROMS: \n", "------------\n", - "Submitted batch job 32061052\n" + "Submitted batch job 32158908\n" ] } ], @@ -633,8 +686,8 @@ "output_type": "stream", "text": [ " JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)\n", - " 32061052 shared_mi my_case_ dafydd PD 0:00 1 (Priority)\n", - " 32060940 urgent_mi jupyter dafydd R 8:31 1 nid004240\n" + " 32158908 shared_mi my_case_ dafydd PD 0:00 1 (Priority)\n", + " 32158654 urgent_mi jupyter dafydd R 7:42 1 nid004290\n" ] } ], @@ -646,7 +699,9 @@ { "cell_type": "markdown", "id": "d0ba9ca5-37d2-4db8-bbce-9ab5cf31147b", - "metadata": {}, + "metadata": { + "tags": [] + }, "source": [ "## Post-processing\n", "Once the run is complete, we can carry out any post-processing steps.\n", @@ -655,7 +710,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 17, "id": "9de44981-6e2d-4b9c-ab9d-64fe12a73d65", "metadata": { "tags": [] @@ -668,13 +723,13 @@ "\n", "Completing post-processing steps for ROMSComponent\n", "---------------------------------------------------\n", - "Joining netCDF files ROMS_MARBL_rst.20120102120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120103120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120102120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120103120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120101120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_bgc_dia.20120101120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_bgc.20120101120000.*.nc...\n" + "Joining netCDF files ROMS_MARBL_rst.20120103120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120103120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120102120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_bgc.20120101120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120101120000.*.nc...\n" ] } ], @@ -699,7 +754,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 18, "id": "0eeb0d73-1120-4216-b5be-2e909662d853", "metadata": { "tags": [] @@ -750,7 +805,8 @@ "ax[0].set_title(\"Initial condition file\")\n", "ax[1].set_title(\"Restart file\")\n", "plt.colorbar(p1, ax=ax, orientation='horizontal', pad=0.05,label=\"Sea surface temperature (°C)\")\n", - "fig.show()\n" + "fig.show()\n", + "grd_ds.close()\n" ] }, { diff --git a/docs/3_restarting_and_continuing_a_case.ipynb b/docs/3_restarting_and_continuing_a_case.ipynb index fe0d835..0562916 100644 --- a/docs/3_restarting_and_continuing_a_case.ipynb +++ b/docs/3_restarting_and_continuing_a_case.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "9635eff8-b380-4ab2-bdbd-6802e12918f4", + "id": "44362773-e97f-4a64-ab36-bfd71ef3f6ca", "metadata": {}, "source": [ "# Restarting & continuing a `Case`\n", @@ -15,7 +15,7 @@ }, { "cell_type": "markdown", - "id": "bc5399c7-45a3-49cb-a3c0-456e9d2a237a", + "id": "60d02998-e3dd-4042-94aa-343a78759704", "metadata": {}, "source": [ "## Restarting our Case\n", @@ -25,8 +25,8 @@ }, { "cell_type": "code", - "execution_count": 20, - "id": "3513e0ce-47d5-4b1e-a6fb-ec37c4a1e9dc", + "execution_count": 19, + "id": "80eb1d5d-c9b1-4ae6-8fd3-0bc87f46fbbc", "metadata": { "tags": [] }, @@ -37,7 +37,7 @@ }, { "cell_type": "markdown", - "id": "ad75391b-1669-4757-86ce-7c9290a61415", + "id": "cc90564f-00fd-4e11-a637-13a0bee5b209", "metadata": {}, "source": [ "Taking a look at the ROMS component, We can see that the initial conditions have been changed:" @@ -45,8 +45,8 @@ }, { "cell_type": "code", - "execution_count": 21, - "id": "2bb193c8-d3a5-4111-ad6c-9a8cc1207e0f", + "execution_count": 20, + "id": "459f23e0-def9-4106-aa80-8de242788c55", "metadata": { "tags": [] }, @@ -60,7 +60,7 @@ ")" ] }, - "execution_count": 21, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -71,7 +71,7 @@ }, { "cell_type": "markdown", - "id": "d9dee3e3-6874-4a35-ba58-a0e8291180d6", + "id": "bb3f52eb-0779-471d-9c81-97e5c0c7fa0d", "metadata": {}, "source": [ "## Increasing the time step" @@ -79,7 +79,7 @@ }, { "cell_type": "markdown", - "id": "13348af2-5606-48cd-8565-3c03c8c69d60", + "id": "56018856-a6ba-4674-80a2-cffe42ce08a6", "metadata": {}, "source": [ "If we want to increase the time step for our second run, we will have to manually change the `time_step` entry under `ROMSComponent.discretization`:" @@ -87,8 +87,8 @@ }, { "cell_type": "code", - "execution_count": 22, - "id": "6a39f0ed-736a-4aff-aa7e-3f8a2b776d34", + "execution_count": 21, + "id": "3ec74aa8-ecfa-4d0d-a101-8db885f10508", "metadata": { "tags": [] }, @@ -110,7 +110,7 @@ ")" ] }, - "execution_count": 22, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -121,8 +121,8 @@ }, { "cell_type": "code", - "execution_count": 23, - "id": "add6e147-89d4-4122-b67b-af04f0e757e2", + "execution_count": 22, + "id": "8c4b5e97-052e-4e41-98f8-f763cce01f00", "metadata": { "tags": [] }, @@ -133,7 +133,7 @@ }, { "cell_type": "markdown", - "id": "1e654b6a-fec2-4771-98fe-e85bebceb84f", + "id": "8fbc2732-98e2-4f3a-b69c-ceaa7e5d1574", "metadata": {}, "source": [ "We can now take a look at our `Case` and see everything is as expected:" @@ -141,8 +141,8 @@ }, { "cell_type": "code", - "execution_count": 24, - "id": "970ee3b8-d37d-4b93-a6bb-d64389642405", + "execution_count": 23, + "id": "1f4777eb-506e-44d2-8f85-24fbabd2c429", "metadata": { "tags": [] }, @@ -176,7 +176,7 @@ "])" ] }, - "execution_count": 24, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -187,7 +187,7 @@ }, { "cell_type": "markdown", - "id": "95c80f74-7c59-4bbd-97af-06bc37f19ba0", + "id": "b2e89e05-bdec-4e2e-a511-1af377c63b1b", "metadata": {}, "source": [ "Now we run through the other steps as normal:" @@ -195,8 +195,8 @@ }, { "cell_type": "code", - "execution_count": 30, - "id": "1459192a-b97f-4b85-a675-4f98959073a9", + "execution_count": 24, + "id": "d766ac93-7f6d-4eef-ae20-373edb9e7872", "metadata": { "tags": [] }, @@ -220,8 +220,8 @@ "\n", "Fetching additional source code...\n", "----------------------------------\n", - "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmp4f9_8ach\n", - "Checked out cstar_alpha in git repository /tmp/tmp4f9_8ach\n", + "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpyjm2sjv9\n", + "Checked out cstar_alpha in git repository /tmp/tmpyjm2sjv9\n", "copying bgc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", "copying bulk_frc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", "copying cppdefs.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", @@ -234,8 +234,8 @@ "\n", "Fetching namelists... \n", "----------------------\n", - "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpy4t_fif8\n", - "Checked out cstar_alpha in git repository /tmp/tmpy4t_fif8\n", + "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpdn62wgi_\n", + "Checked out cstar_alpha in git repository /tmp/tmpdn62wgi_\n", "copying roms.in_TEMPLATE to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", "copying template file /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in_TEMPLATE to editable version /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in\n", "copying marbl_in to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", @@ -246,6 +246,7 @@ "--------------------------\n", "A file by the name of roms_grd.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_grd.yaml...\n", + "A file by the name of ROMS_MARBL_rst.20120103120000.nc already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", "A file by the name of roms_tides.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_tides.yaml...\n", "A file by the name of roms_bry.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", @@ -290,8 +291,8 @@ }, { "cell_type": "code", - "execution_count": 31, - "id": "1158614e-25d9-451e-8e78-a57760255769", + "execution_count": 25, + "id": "9d4a2e60-3df4-4c13-a083-dc125a9e8567", "metadata": { "tags": [] }, @@ -303,7 +304,7 @@ "\n", "Running ROMS: \n", "------------\n", - "Submitted batch job 32061806\n" + "Submitted batch job 32159562\n" ] } ], @@ -313,8 +314,8 @@ }, { "cell_type": "code", - "execution_count": 32, - "id": "04f7a5a6-ce72-4b5f-8f3b-e21b62d0081b", + "execution_count": 26, + "id": "1c9411d2-b6ad-4e46-aeac-0a58f2434a40", "metadata": { "tags": [] }, @@ -324,8 +325,8 @@ "output_type": "stream", "text": [ " JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)\n", - " 32061806 shared_mi my_case_ dafydd PD 0:00 1 (Priority)\n", - " 32060940 urgent_mi jupyter dafydd R 53:37 1 nid004240\n" + " 32159562 shared_mi my_case_ dafydd PD 0:00 1 (Priority)\n", + " 32158654 urgent_mi jupyter dafydd R 31:14 1 nid004290\n" ] } ], @@ -336,7 +337,7 @@ }, { "cell_type": "markdown", - "id": "4278e32c-14ad-4f32-b4e3-ffa79e8387b1", + "id": "53e597b4-01b5-4cdb-815d-6586a10ad094", "metadata": {}, "source": [ "Once again, we have to wait for the job to finish before proceeding..." @@ -344,8 +345,8 @@ }, { "cell_type": "code", - "execution_count": 33, - "id": "3b78c969-74ff-47f6-a943-33b5ae8c1005", + "execution_count": 27, + "id": "d3a0b9d6-9457-4c71-a17f-b726dd4430a0", "metadata": { "tags": [] }, @@ -357,65 +358,65 @@ "\n", "Completing post-processing steps for ROMSComponent\n", "---------------------------------------------------\n", - "Joining netCDF files ROMS_MARBL_his.20120112120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120120120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120108120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_bgc.20120103120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120126120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120103120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120125120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120119120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120109120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120131120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120113120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120122120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120124120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120128120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120112120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120108120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120113120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120114120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120119120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120104120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120106120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120124120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120103120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120105120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120117120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120107120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120111120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120130120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120112120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120125120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120104120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120114120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120109120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_bgc_dia.20120103120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120129120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120117120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120106120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120121120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120130120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120118120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120111120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120112120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120124120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120127120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120119120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120110120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120118120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120127120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120129120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120130120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120121120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120104120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120115120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120116120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120120120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120119120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120114120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120113120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120115120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120126120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120105120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_bgc.20120103120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120106120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120124120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120105120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120106120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120131120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120122120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120121120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120104120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120107120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120110120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120108120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120118120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120123120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120114120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120131120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120125120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120120120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120126120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120123120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120121120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120120120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120113120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120118120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120116120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120127120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_bgc_dia.20120103120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120130120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120108120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120115120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120128120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120111120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120111120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120127120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120115120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120122120000.*.nc...\n" + "Joining netCDF files ROMS_MARBL_rst.20120107120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120110120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120109120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120129120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120129120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120125120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120131120000.*.nc...\n" ] } ], @@ -425,7 +426,7 @@ }, { "cell_type": "markdown", - "id": "fea71fd2-4dd1-4580-bab8-dd5feb461beb", + "id": "80de7cdb-f703-40c2-8c7e-ecbff1c4c58b", "metadata": {}, "source": [ "## Some basic analysis of the output\n", @@ -436,8 +437,8 @@ }, { "cell_type": "code", - "execution_count": 37, - "id": "80b2b775-0cdd-4cb2-9491-ce38adc31287", + "execution_count": 28, + "id": "597b6abd-307e-418b-a98f-533fd040ecc9", "metadata": { "tags": [] }, @@ -460,9 +461,9 @@ "import datetime as dt\n", "import cartopy.feature as cfeature\n", "\n", - "BGC_DS = xr.open_dataset(example_case_2.caseroot / 'output/ROMS_MARBL_bgc.20120103120000.nc') # this contains 6-hourly data, with the date in the filename reflecting the first time entry\n", - "GRD_DS = xr.open_dataset(example_case_2.caseroot / 'input_datasets/ROMS/roms_grd.nc')\n", - "lon,lat=GRD_DS.lon_rho,GRD_DS.lat_rho\n", + "bgc_ds = xr.open_dataset(example_case_2.caseroot / 'output/ROMS_MARBL_bgc.20120103120000.nc') # this contains 6-hourly data, with the date in the filename reflecting the first time entry\n", + "grd_ds = xr.open_dataset(example_case_2.caseroot / 'input_datasets/ROMS/roms_grd.nc')\n", + "lon,lat=grd_ds.lon_rho,grd_ds.lat_rho\n", "output_time=[dt.datetime(2000,1,1)+dt.timedelta(seconds=t) for t in BGC_DS.ocean_time.values]\n", "\n", "var = 'DOC'\n", @@ -471,8 +472,7 @@ "k_idx = 19\n", "t_idx = [0,-1]\n", "\n", - "# BGC_DA = BGC_DS[var].isel(s_rho=k_idx)\n", - "plot_data = BGC_DS[var].where(grd_ds.mask_rho).isel(s_rho=k_idx)\n", + "plot_data = bgc_ds[var].where(grd_ds.mask_rho).isel(s_rho=k_idx)\n", "\n", "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", @@ -515,8 +515,9 @@ "fig.colorbar(p2, ax=ax2)\n", "fig.colorbar(p3, ax=ax3)\n", "\n", - "fig.suptitle(f'Surface {BGC_DS[var].long_name}, ({BGC_DS[var].units})')\n", - "fig.set_size_inches(12,6)" + "fig.suptitle(f'Surface {bgc_ds[var].long_name}, ({bgc_ds[var].units})')\n", + "fig.set_size_inches(12,6)\n", + "grd_ds.close()" ] } ], From e29b69c4adf745e96687199da4d444aa89bddaa4 Mon Sep 17 00:00:00 2001 From: Dafydd Date: Thu, 24 Oct 2024 14:19:49 -0700 Subject: [PATCH 19/31] bugfixes in notebooks --- docs/2_importing_and_running_a_case.ipynb | 59 ++--------------------- 1 file changed, 3 insertions(+), 56 deletions(-) diff --git a/docs/2_importing_and_running_a_case.ipynb b/docs/2_importing_and_running_a_case.ipynb index 179b309..89847eb 100644 --- a/docs/2_importing_and_running_a_case.ipynb +++ b/docs/2_importing_and_running_a_case.ipynb @@ -158,7 +158,7 @@ "--------------\n", "source_repo : https://github.com/marbl-ecosys/MARBL.git (default)\n", "checkout_target : marbl0.45.0 (corresponding to hash 6e6b2f7c32ac5427e6cf46de4222973b8bcaa3d9)\n", - "local_config_status: 0 (Environment variable MARBL_ROOT is present, points to the correct repository remote, and is checked out at the correct hash)\n" + "local_config_status: 3 (Environment variable MARBL_ROOT is not present and it is assumed the base model is not installed locally)\n" ] } ], @@ -474,7 +474,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "id": "a9280f90-fec9-429b-b28d-da7976fea3da", "metadata": { "tags": [] @@ -484,60 +484,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "\n", - "Setting up MARBLComponent\n", - "--------------------------\n", - "Configuring MARBLComponent\n", - "--------------------------\n", - "MARBLBaseModel correctly configured. Nothing to be done\n", - "\n", - "Setting up ROMSComponent\n", - "-------------------------\n", - "Configuring ROMSComponent\n", - "-------------------------\n", - "ROMSBaseModel correctly configured. Nothing to be done\n", - "\n", - "Fetching additional source code...\n", - "----------------------------------\n", - "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpmaf2qxf4\n", - "Checked out cstar_alpha in git repository /tmp/tmpmaf2qxf4\n", - "copying bgc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", - "copying bulk_frc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", - "copying cppdefs.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", - "copying diagnostics.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", - "copying ocean_vars.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", - "copying param.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", - "copying tracers.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", - "copying Makefile to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", - "copying Make.depend to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", - "\n", - "Fetching namelists... \n", - "----------------------\n", - "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpdthrgoz6\n", - "Checked out cstar_alpha in git repository /tmp/tmpdthrgoz6\n", - "copying roms.in_TEMPLATE to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", - "copying template file /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in_TEMPLATE to editable version /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in\n", - "copying marbl_in to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", - "copying marbl_tracer_output_list to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", - "copying marbl_diagnostic_output_list to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", - "\n", - "Fetching input datasets...\n", - "--------------------------\n", - "A file by the name of roms_grd.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_grd.yaml...\n", - "A file by the name of roms_ini.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", - "Selected time entry closest to the specified start_time (2012-01-01 12:00:00) within the range [2012-01-01 12:00:00, 2012-01-02 12:00:00]: ['2012-01-01T12:00:00.000000000']\n", - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_ini.yaml...\n", - "A file by the name of roms_tides.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_tides.yaml...\n", - "A file by the name of roms_bry.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry.yaml...\n", - "A file by the name of roms_bry_bgc.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry_bgc.yaml...\n", - "A file by the name of roms_frc.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc.yaml...\n", - "A file by the name of roms_frc_bgc.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc_bgc.yaml...\n" + "This case appears to have already been set up at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case\n" ] } ], From 49b08057a93ffe47652d3184add00592b7029cc0 Mon Sep 17 00:00:00 2001 From: Nora Loose Date: Thu, 24 Oct 2024 19:21:59 -0600 Subject: [PATCH 20/31] Rerun roms-tools notebook with updated timing (#153) --- docs/4_preparing_roms_input_datasets.ipynb | 4586 ++++++++++---------- 1 file changed, 2293 insertions(+), 2293 deletions(-) diff --git a/docs/4_preparing_roms_input_datasets.ipynb b/docs/4_preparing_roms_input_datasets.ipynb index 3d25ae2..c57ae98 100644 --- a/docs/4_preparing_roms_input_datasets.ipynb +++ b/docs/4_preparing_roms_input_datasets.ipynb @@ -146,8 +146,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 1.39 s, sys: 130 ms, total: 1.52 s\n", - "Wall time: 2.51 s\n" + "CPU times: user 1.29 s, sys: 100 ms, total: 1.39 s\n", + "Wall time: 2.32 s\n" ] } ], @@ -633,7 +633,7 @@ " lat_u (eta_rho, xi_u) float64 8kB 60.21 60.3 ... 69.56 69.62\n", " lon_u (eta_rho, xi_u) float64 8kB 337.8 338.2 ... 347.4 348.0\n", " lat_v (eta_v, xi_rho) float64 8kB 60.27 60.36 ... 69.48 69.54\n", - " lon_v (eta_v, xi_rho) float64 8kB 337.4 337.9 ... 347.8 348.5\n", + " lon_v (eta_v, xi_rho) float64 8kB 337.5 337.9 ... 347.8 348.5\n", " ... ...\n", " layer_depth_rho (s_rho, eta_rho, xi_rho) float32 82kB 2.202e+03 ... ...\n", " layer_depth_u (s_rho, eta_rho, xi_u) float32 79kB 2.202e+03 ... 6.793\n", @@ -659,7 +659,7 @@ " Cs_w (s_w) float32 84B -1.0 -0.9114 ... -0.0009921 0.0\n", "Attributes:\n", " title: ROMS grid created by ROMS-Tools\n", - " roms_tools_version: 1.4.0\n", + " roms_tools_version: 1.5.0\n", " size_x: 800\n", " size_y: 800\n", " center_lon: -18\n", @@ -669,7 +669,7 @@ " hmin: 5.0\n", " theta_s: 5.0\n", " theta_b: 2.0\n", - " hc: 300.0
          • title :
            ROMS grid created by ROMS-Tools
            roms_tools_version :
            1.5.0
            size_x :
            800
            size_y :
            800
            center_lon :
            -18
            center_lat :
            65
            rot :
            20
            topography_source :
            ETOPO5
            hmin :
            5.0
            theta_s :
            5.0
            theta_b :
            2.0
            hc :
            300.0
          • " ], "text/plain": [ " Size: 603kB\n", @@ -1397,7 +1397,7 @@ " lat_u (eta_rho, xi_u) float64 8kB 60.21 60.3 ... 69.56 69.62\n", " lon_u (eta_rho, xi_u) float64 8kB 337.8 338.2 ... 347.4 348.0\n", " lat_v (eta_v, xi_rho) float64 8kB 60.27 60.36 ... 69.48 69.54\n", - " lon_v (eta_v, xi_rho) float64 8kB 337.4 337.9 ... 347.8 348.5\n", + " lon_v (eta_v, xi_rho) float64 8kB 337.5 337.9 ... 347.8 348.5\n", " ... ...\n", " layer_depth_rho (s_rho, eta_rho, xi_rho) float32 82kB 2.202e+03 ... ...\n", " layer_depth_u (s_rho, eta_rho, xi_u) float32 79kB 2.202e+03 ... 6.793\n", @@ -1423,7 +1423,7 @@ " Cs_w (s_w) float32 84B -1.0 -0.9114 ... -0.0009921 0.0\n", "Attributes:\n", " title: ROMS grid created by ROMS-Tools\n", - " roms_tools_version: 1.4.0\n", + " roms_tools_version: 1.5.0\n", " size_x: 800\n", " size_y: 800\n", " center_lon: -18\n", @@ -1518,7 +1518,7 @@ "output_type": "stream", "text": [ "---\n", - "roms_tools_version: 1.4.0\n", + "roms_tools_version: 1.5.0\n", "---\n", "Grid:\n", " N: 20\n", @@ -1620,8 +1620,8 @@ "output_type": "stream", "text": [ "Selected time entry closest to the specified start_time (2012-08-10 12:00:00) within the range [2012-08-10 12:00:00, 2012-08-11 12:00:00]: ['2012-08-10T12:00:00.000000000']\n", - "CPU times: user 17min 33s, sys: 2.17 s, total: 17min 35s\n", - "Wall time: 30.5 s\n" + "CPU times: user 3min 21s, sys: 1.98 s, total: 3min 23s\n", + "Wall time: 15.3 s\n" ] } ], @@ -2039,18 +2039,18 @@ " fill: currentColor;\n", "}\n", "
            <xarray.Dataset> Size: 3MB\n",
            -       "Dimensions:      (ocean_time: 1, eta_rho: 32, xi_rho: 32, s_rho: 20, xi_u: 31,\n",
            +       "Dimensions:      (ocean_time: 1, s_rho: 20, eta_rho: 32, xi_rho: 32, xi_u: 31,\n",
                    "                  eta_v: 31, s_w: 21)\n",
                    "Coordinates:\n",
                    "    abs_time     (ocean_time) datetime64[ns] 8B 2012-08-10T12:00:00\n",
                    "  * ocean_time   (ocean_time) float64 8B 3.979e+08\n",
            -       "Dimensions without coordinates: eta_rho, xi_rho, s_rho, xi_u, eta_v, s_w\n",
            +       "Dimensions without coordinates: s_rho, eta_rho, xi_rho, xi_u, eta_v, s_w\n",
                    "Data variables: (12/42)\n",
            -       "    zeta         (ocean_time, eta_rho, xi_rho) float32 4kB -0.6053 ... -0.8647\n",
                    "    temp         (ocean_time, s_rho, eta_rho, xi_rho) float32 82kB 3.113 ... ...\n",
                    "    salt         (ocean_time, s_rho, eta_rho, xi_rho) float32 82kB 34.96 ... ...\n",
                    "    u            (ocean_time, s_rho, eta_rho, xi_u) float32 79kB 0.02931 ... ...\n",
                    "    v            (ocean_time, s_rho, eta_v, xi_rho) float32 79kB 0.01259 ... ...\n",
            +       "    zeta         (ocean_time, eta_rho, xi_rho) float32 4kB -0.6053 ... -0.8647\n",
                    "    ubar         (ocean_time, eta_rho, xi_u) float32 4kB 0.02655 ... -0.001648\n",
                    "    ...           ...\n",
                    "    diazFe       (ocean_time, s_rho, eta_rho, xi_rho) float32 82kB -4.748e-09...\n",
            @@ -2061,26 +2061,14 @@
                    "    Cs_w         (s_w) float32 84B -1.0 -0.9114 -0.809 ... -0.0009921 0.0\n",
                    "Attributes:\n",
                    "    title:                 ROMS initial conditions file created by ROMS-Tools\n",
            -       "    roms_tools_version:    1.4.0\n",
            +       "    roms_tools_version:    1.5.0\n",
                    "    ini_time:              2012-08-10 12:00:00\n",
                    "    model_reference_date:  2000-01-01 00:00:00\n",
                    "    source:                GLORYS\n",
                    "    bgc_source:            CESM_REGRIDDED\n",
                    "    theta_s:               5.0\n",
                    "    theta_b:               2.0\n",
            -       "    hc:                    300.0
            • ocean_time
              PandasIndex
              PandasIndex(Index([397915200.0], dtype='float64', name='ocean_time'))
          • title :
            ROMS initial conditions file created by ROMS-Tools
            roms_tools_version :
            1.5.0
            ini_time :
            2012-08-10 12:00:00
            model_reference_date :
            2000-01-01 00:00:00
            source :
            GLORYS
            bgc_source :
            CESM_REGRIDDED
            theta_s :
            5.0
            theta_b :
            2.0
            hc :
            300.0
          • " ], "text/plain": [ " Size: 3MB\n", - "Dimensions: (ocean_time: 1, eta_rho: 32, xi_rho: 32, s_rho: 20, xi_u: 31,\n", + "Dimensions: (ocean_time: 1, s_rho: 20, eta_rho: 32, xi_rho: 32, xi_u: 31,\n", " eta_v: 31, s_w: 21)\n", "Coordinates:\n", " abs_time (ocean_time) datetime64[ns] 8B 2012-08-10T12:00:00\n", " * ocean_time (ocean_time) float64 8B 3.979e+08\n", - "Dimensions without coordinates: eta_rho, xi_rho, s_rho, xi_u, eta_v, s_w\n", + "Dimensions without coordinates: s_rho, eta_rho, xi_rho, xi_u, eta_v, s_w\n", "Data variables: (12/42)\n", - " zeta (ocean_time, eta_rho, xi_rho) float32 4kB -0.6053 ... -0.8647\n", " temp (ocean_time, s_rho, eta_rho, xi_rho) float32 82kB 3.113 ... ...\n", " salt (ocean_time, s_rho, eta_rho, xi_rho) float32 82kB 34.96 ... ...\n", " u (ocean_time, s_rho, eta_rho, xi_u) float32 79kB 0.02931 ... ...\n", " v (ocean_time, s_rho, eta_v, xi_rho) float32 79kB 0.01259 ... ...\n", + " zeta (ocean_time, eta_rho, xi_rho) float32 4kB -0.6053 ... -0.8647\n", " ubar (ocean_time, eta_rho, xi_u) float32 4kB 0.02655 ... -0.001648\n", " ... ...\n", " diazFe (ocean_time, s_rho, eta_rho, xi_rho) float32 82kB -4.748e-09...\n", @@ -3676,7 +3676,7 @@ " Cs_w (s_w) float32 84B -1.0 -0.9114 -0.809 ... -0.0009921 0.0\n", "Attributes:\n", " title: ROMS initial conditions file created by ROMS-Tools\n", - " roms_tools_version: 1.4.0\n", + " roms_tools_version: 1.5.0\n", " ini_time: 2012-08-10 12:00:00\n", " model_reference_date: 2000-01-01 00:00:00\n", " source: GLORYS\n", @@ -3872,8 +3872,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 17.1 s, sys: 1.09 s, total: 18.2 s\n", - "Wall time: 9 s\n" + "CPU times: user 42 s, sys: 618 ms, total: 42.6 s\n", + "Wall time: 8.13 s\n" ] } ], @@ -4284,20 +4284,20 @@ "Data variables:\n", " ssh_Re (ntides, eta_rho, xi_rho) float32 41kB 0.6173 0.6247 ... -0.0198\n", " ssh_Im (ntides, eta_rho, xi_rho) float32 41kB -0.4568 ... -0.007206\n", - " pot_Re (ntides, eta_rho, xi_rho) float32 41kB 0.05192 ... -0.0007893\n", - " pot_Im (ntides, eta_rho, xi_rho) float32 41kB 0.008197 ... 0.002649\n", " u_Re (ntides, eta_rho, xi_u) float32 40kB -0.01072 ... 8.424e-05\n", " u_Im (ntides, eta_rho, xi_u) float32 40kB 0.006649 ... -1.048e-05\n", " v_Re (ntides, eta_v, xi_rho) float32 40kB 0.02044 0.02003 ... 0.00015\n", " v_Im (ntides, eta_v, xi_rho) float32 40kB -0.007885 ... -0.0001538\n", + " pot_Re (ntides, eta_rho, xi_rho) float32 41kB 0.05192 ... -0.0007893\n", + " pot_Im (ntides, eta_rho, xi_rho) float32 41kB 0.008197 ... 0.002649\n", "Attributes:\n", " title: ROMS tidal forcing created by ROMS-Tools\n", - " roms_tools_version: 1.4.0\n", + " roms_tools_version: 1.5.0\n", " source: TPXO\n", " model_reference_date: 2000-01-01 00:00:00\n", - " allan_factor: 2.0
            • title :
              ROMS tidal forcing created by ROMS-Tools
              roms_tools_version :
              1.5.0
              source :
              TPXO
              model_reference_date :
              2000-01-01 00:00:00
              allan_factor :
              2.0
            • " ], "text/plain": [ " Size: 323kB\n", @@ -4628,15 +4628,15 @@ "Data variables:\n", " ssh_Re (ntides, eta_rho, xi_rho) float32 41kB 0.6173 0.6247 ... -0.0198\n", " ssh_Im (ntides, eta_rho, xi_rho) float32 41kB -0.4568 ... -0.007206\n", - " pot_Re (ntides, eta_rho, xi_rho) float32 41kB 0.05192 ... -0.0007893\n", - " pot_Im (ntides, eta_rho, xi_rho) float32 41kB 0.008197 ... 0.002649\n", " u_Re (ntides, eta_rho, xi_u) float32 40kB -0.01072 ... 8.424e-05\n", " u_Im (ntides, eta_rho, xi_u) float32 40kB 0.006649 ... -1.048e-05\n", " v_Re (ntides, eta_v, xi_rho) float32 40kB 0.02044 0.02003 ... 0.00015\n", " v_Im (ntides, eta_v, xi_rho) float32 40kB -0.007885 ... -0.0001538\n", + " pot_Re (ntides, eta_rho, xi_rho) float32 41kB 0.05192 ... -0.0007893\n", + " pot_Im (ntides, eta_rho, xi_rho) float32 41kB 0.008197 ... 0.002649\n", "Attributes:\n", " title: ROMS tidal forcing created by ROMS-Tools\n", - " roms_tools_version: 1.4.0\n", + " roms_tools_version: 1.5.0\n", " source: TPXO\n", " model_reference_date: 2000-01-01 00:00:00\n", " allan_factor: 2.0" @@ -4828,8 +4828,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 2.73 s, sys: 552 ms, total: 3.29 s\n", - "Wall time: 6.54 s\n" + "CPU times: user 2.68 s, sys: 264 ms, total: 2.94 s\n", + "Wall time: 6.65 s\n" ] } ], @@ -5246,18 +5246,18 @@ " swrad (time, eta_rho, xi_rho) float32 692kB 249.2 234.9 ... 222.6 272.9\n", " lwrad (time, eta_rho, xi_rho) float32 692kB 368.8 370.9 ... 341.3 335.0\n", " Tair (time, eta_rho, xi_rho) float32 692kB 13.88 13.9 ... 7.3 7.292\n", - " qair (time, eta_rho, xi_rho) float32 692kB 0.009035 ... 0.006102\n", " rain (time, eta_rho, xi_rho) float32 692kB 0.07277 0.1024 ... 0.003101\n", + " qair (time, eta_rho, xi_rho) float32 692kB 0.009035 ... 0.006102\n", "Attributes:\n", " title: ROMS surface forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.4.0\n", + " roms_tools_version: 1.5.0\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: ERA5\n", " correct_radiation: True\n", " use_coarse_grid: False\n", " model_reference_date: 2000-01-01 00:00:00\n", - " type: physics
              • time
                PandasIndex
                PandasIndex(Index([           4605.5, 4605.541666666667, 4605.583333333333,\n",
                +       "                4605.625, 4605.666666666667, 4605.708333333333,\n",
                +       "                 4605.75, 4605.791666666667, 4605.833333333333,\n",
                +       "                4605.875,\n",
                +       "       ...\n",
                +       "                4612.125, 4612.166666666667, 4612.208333333333,\n",
                +       "                 4612.25, 4612.291666666667, 4612.333333333333,\n",
                +       "                4612.375, 4612.416666666667, 4612.458333333333,\n",
                +       "                  4612.5],\n",
                +       "      dtype='float64', name='time', length=169))
            • title :
              ROMS surface forcing file created by ROMS-Tools
              roms_tools_version :
              1.5.0
              start_time :
              2012-08-10 12:00:00
              end_time :
              2012-08-17 12:00:00
              source :
              ERA5
              correct_radiation :
              True
              use_coarse_grid :
              False
              model_reference_date :
              2000-01-01 00:00:00
              type :
              physics
            • " + ], + "text/plain": [ + " Size: 5MB\n", + "Dimensions: (time: 169, eta_rho: 32, xi_rho: 32)\n", + "Coordinates:\n", + " abs_time (time) datetime64[ns] 1kB 2012-08-10T12:00:00 ... 2012-08-17T12...\n", + " * time (time) float64 1kB 4.606e+03 4.606e+03 ... 4.612e+03 4.612e+03\n", + "Dimensions without coordinates: eta_rho, xi_rho\n", + "Data variables:\n", + " uwnd (time, eta_rho, xi_rho) float32 692kB 6.236 6.182 ... -3.38 -3.462\n", + " vwnd (time, eta_rho, xi_rho) float32 692kB 8.239 8.16 ... 1.51 1.503\n", + " swrad (time, eta_rho, xi_rho) float32 692kB 249.2 234.9 ... 222.6 272.9\n", + " lwrad (time, eta_rho, xi_rho) float32 692kB 368.8 370.9 ... 341.3 335.0\n", + " Tair (time, eta_rho, xi_rho) float32 692kB 13.88 13.9 ... 7.3 7.292\n", + " rain (time, eta_rho, xi_rho) float32 692kB 0.07277 0.1024 ... 0.003101\n", + " qair (time, eta_rho, xi_rho) float32 692kB 0.009035 ... 0.006102\n", + "Attributes:\n", " title: ROMS surface forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.4.0\n", + " roms_tools_version: 1.5.0\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: ERA5\n", @@ -5826,8 +5826,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 98.8 ms, sys: 12 ms, total: 111 ms\n", - "Wall time: 344 ms\n" + "CPU times: user 101 ms, sys: 8.07 ms, total: 109 ms\n", + "Wall time: 444 ms\n" ] } ], @@ -6243,15 +6243,15 @@ " nhy (time, eta_rho, xi_rho) float32 8kB 1.186e-12 ... 4.717e-13\n", "Attributes:\n", " title: ROMS surface forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.4.0\n", + " roms_tools_version: 1.5.0\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: CESM_REGRIDDED\n", " correct_radiation: False\n", " use_coarse_grid: False\n", " model_reference_date: 2000-01-01 00:00:00\n", - " type: bgc
              • title :
                ROMS surface forcing file created by ROMS-Tools
                roms_tools_version :
                1.5.0
                start_time :
                2012-08-10 12:00:00
                end_time :
                2012-08-17 12:00:00
                source :
                CESM_REGRIDDED
                correct_radiation :
                False
                use_coarse_grid :
                False
                model_reference_date :
                2000-01-01 00:00:00
                type :
                bgc
              • " ], "text/plain": [ " Size: 49kB\n", @@ -6429,7 +6429,7 @@ " nhy (time, eta_rho, xi_rho) float32 8kB 1.186e-12 ... 4.717e-13\n", "Attributes:\n", " title: ROMS surface forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.4.0\n", + " roms_tools_version: 1.5.0\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: CESM_REGRIDDED\n", @@ -6645,8 +6645,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 2h 15min 41s, sys: 3.06 s, total: 2h 15min 44s\n", - "Wall time: 2min 18s\n" + "CPU times: user 19min 46s, sys: 2.27 s, total: 19min 48s\n", + "Wall time: 22.4 s\n" ] } ], @@ -7052,80 +7052,40 @@ " fill: currentColor;\n", "}\n", "
                <xarray.Dataset> Size: 337kB\n",
                -       "Dimensions:     (bry_time: 8, xi_rho: 32, s_rho: 20, xi_u: 31, eta_rho: 32,\n",
                +       "Dimensions:     (bry_time: 8, s_rho: 20, xi_rho: 32, xi_u: 31, eta_rho: 32,\n",
                        "                 eta_v: 31)\n",
                        "Coordinates:\n",
                        "    abs_time    (bry_time) datetime64[ns] 64B 2012-08-10T12:00:00 ... 2012-08...\n",
                        "  * bry_time    (bry_time) float64 64B 4.606e+03 4.606e+03 ... 4.612e+03\n",
                -       "Dimensions without coordinates: xi_rho, s_rho, xi_u, eta_rho, eta_v\n",
                +       "Dimensions without coordinates: s_rho, xi_rho, xi_u, eta_rho, eta_v\n",
                        "Data variables: (12/28)\n",
                -       "    zeta_south  (bry_time, xi_rho) float32 1kB -0.6053 -0.6007 ... -0.4932\n",
                        "    temp_south  (bry_time, s_rho, xi_rho) float32 20kB 3.113 3.116 ... 11.34\n",
                        "    salt_south  (bry_time, s_rho, xi_rho) float32 20kB 34.96 34.95 ... 35.26\n",
                -       "    u_south     (bry_time, s_rho, xi_u) float32 20kB 0.02931 0.01554 ... 0.05322\n",
                +       "    u_south     (bry_time, s_rho, xi_u) float32 20kB 0.02931 0.01553 ... 0.05322\n",
                        "    v_south     (bry_time, s_rho, xi_rho) float32 20kB 0.01259 ... 0.01006\n",
                +       "    zeta_south  (bry_time, xi_rho) float32 1kB -0.6053 -0.6007 ... -0.4932\n",
                        "    ubar_south  (bry_time, xi_u) float32 992B 0.02655 -0.02214 ... 0.06859\n",
                        "    ...          ...\n",
                -       "    temp_west   (bry_time, s_rho, eta_rho) float32 20kB 3.113 3.174 ... 2.878\n",
                        "    salt_west   (bry_time, s_rho, eta_rho) float32 20kB 34.96 34.96 ... 31.85\n",
                        "    u_west      (bry_time, s_rho, eta_rho) float32 20kB 0.02931 ... -0.03375\n",
                        "    v_west      (bry_time, s_rho, eta_v) float32 20kB 0.01259 ... 0.04785\n",
                +       "    zeta_west   (bry_time, eta_rho) float32 1kB -0.6053 -0.6581 ... -0.5465\n",
                        "    ubar_west   (bry_time, eta_rho) float32 1kB 0.02655 -0.03006 ... 0.01929\n",
                -       "    vbar_west   (bry_time, eta_v) float32 992B 0.0425 0.03409 ... -0.01109\n",
                +       "    vbar_west   (bry_time, eta_v) float32 992B 0.0425 0.03434 ... -0.01109\n",
                        "Attributes:\n",
                        "    title:                 ROMS boundary forcing file created by ROMS-Tools\n",
                -       "    roms_tools_version:    1.4.0\n",
                +       "    roms_tools_version:    1.5.0\n",
                        "    start_time:            2012-08-10 12:00:00\n",
                        "    end_time:              2012-08-17 12:00:00\n",
                        "    source:                GLORYS\n",
                        "    model_reference_date:  2000-01-01 00:00:00\n",
                        "    theta_s:               5.0\n",
                        "    theta_b:               2.0\n",
                -       "    hc:                    300.0
                • bry_time
                  PandasIndex
                  PandasIndex(Index([4605.5, 4606.5, 4607.5, 4608.5, 4609.5, 4610.5, 4611.5, 4612.5], dtype='float64', name='bry_time'))
              • title :
                ROMS boundary forcing file created by ROMS-Tools
                roms_tools_version :
                1.5.0
                start_time :
                2012-08-10 12:00:00
                end_time :
                2012-08-17 12:00:00
                source :
                GLORYS
                model_reference_date :
                2000-01-01 00:00:00
                theta_s :
                5.0
                theta_b :
                2.0
                hc :
                300.0
              • " ], "text/plain": [ " Size: 337kB\n", - "Dimensions: (bry_time: 8, xi_rho: 32, s_rho: 20, xi_u: 31, eta_rho: 32,\n", + "Dimensions: (bry_time: 8, s_rho: 20, xi_rho: 32, xi_u: 31, eta_rho: 32,\n", " eta_v: 31)\n", "Coordinates:\n", " abs_time (bry_time) datetime64[ns] 64B 2012-08-10T12:00:00 ... 2012-08...\n", " * bry_time (bry_time) float64 64B 4.606e+03 4.606e+03 ... 4.612e+03\n", - "Dimensions without coordinates: xi_rho, s_rho, xi_u, eta_rho, eta_v\n", + "Dimensions without coordinates: s_rho, xi_rho, xi_u, eta_rho, eta_v\n", "Data variables: (12/28)\n", - " zeta_south (bry_time, xi_rho) float32 1kB -0.6053 -0.6007 ... -0.4932\n", " temp_south (bry_time, s_rho, xi_rho) float32 20kB 3.113 3.116 ... 11.34\n", " salt_south (bry_time, s_rho, xi_rho) float32 20kB 34.96 34.95 ... 35.26\n", - " u_south (bry_time, s_rho, xi_u) float32 20kB 0.02931 0.01554 ... 0.05322\n", + " u_south (bry_time, s_rho, xi_u) float32 20kB 0.02931 0.01553 ... 0.05322\n", " v_south (bry_time, s_rho, xi_rho) float32 20kB 0.01259 ... 0.01006\n", + " zeta_south (bry_time, xi_rho) float32 1kB -0.6053 -0.6007 ... -0.4932\n", " ubar_south (bry_time, xi_u) float32 992B 0.02655 -0.02214 ... 0.06859\n", " ... ...\n", - " temp_west (bry_time, s_rho, eta_rho) float32 20kB 3.113 3.174 ... 2.878\n", " salt_west (bry_time, s_rho, eta_rho) float32 20kB 34.96 34.96 ... 31.85\n", " u_west (bry_time, s_rho, eta_rho) float32 20kB 0.02931 ... -0.03375\n", " v_west (bry_time, s_rho, eta_v) float32 20kB 0.01259 ... 0.04785\n", + " zeta_west (bry_time, eta_rho) float32 1kB -0.6053 -0.6581 ... -0.5465\n", " ubar_west (bry_time, eta_rho) float32 1kB 0.02655 -0.03006 ... 0.01929\n", - " vbar_west (bry_time, eta_v) float32 992B 0.0425 0.03409 ... -0.01109\n", + " vbar_west (bry_time, eta_v) float32 992B 0.0425 0.03434 ... -0.01109\n", "Attributes:\n", " title: ROMS boundary forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.4.0\n", + " roms_tools_version: 1.5.0\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: GLORYS\n", @@ -8260,7 +8260,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
                " ] @@ -8329,8 +8329,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 12.3 s, sys: 4.92 s, total: 17.2 s\n", - "Wall time: 24.1 s\n" + "CPU times: user 11 s, sys: 2.57 s, total: 13.6 s\n", + "Wall time: 18.9 s\n" ] } ], @@ -8749,7 +8749,7 @@ " zooC_west (bry_time, s_rho, eta_rho) float32 31kB 0.2618 ... 1.026\n", "Attributes:\n", " title: ROMS boundary forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.4.0\n", + " roms_tools_version: 1.5.0\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: CESM_REGRIDDED\n", @@ -8757,13 +8757,13 @@ " theta_s: 5.0\n", " theta_b: 2.0\n", " hc: 300.0\n", - " climatology: True
              • title :
                ROMS boundary forcing file created by ROMS-Tools
                roms_tools_version :
                1.5.0
                start_time :
                2012-08-10 12:00:00
                end_time :
                2012-08-17 12:00:00
                source :
                CESM_REGRIDDED
                model_reference_date :
                2000-01-01 00:00:00
                theta_s :
                5.0
                theta_b :
                2.0
                hc :
                300.0
                climatology :
                True
              • " ], "text/plain": [ " Size: 4MB\n", @@ -13912,7 +13912,7 @@ " zooC_west (bry_time, s_rho, eta_rho) float32 31kB 0.2618 ... 1.026\n", "Attributes:\n", " title: ROMS boundary forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.4.0\n", + " roms_tools_version: 1.5.0\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: CESM_REGRIDDED\n", @@ -14071,7 +14071,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.5" + "version": "3.13.0" } }, "nbformat": 4, From af42649010f1311e2a9a65ba6afe9f653ca87a35 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=80=9CDafydd?= <“dafydd_stephenson@hotmail.com”> Date: Fri, 25 Oct 2024 11:35:02 -0600 Subject: [PATCH 21/31] undefine _base_model_adjustments as an abstract method and delete from MARBLBaseModel --- cstar/base/base_model.py | 2 +- cstar/marbl/base_model.py | 3 --- 2 files changed, 1 insertion(+), 4 deletions(-) diff --git a/cstar/base/base_model.py b/cstar/base/base_model.py index ae1adf2..ba14ba9 100644 --- a/cstar/base/base_model.py +++ b/cstar/base/base_model.py @@ -288,7 +288,7 @@ def handle_config_status(self) -> None: def get(self, target: str | Path) -> None: """Clone the basemodel code to your local machine.""" - @abstractmethod def _base_model_adjustments(self) -> None: """Perform any C-Star specific adjustments to the base model that would be needed after a clean checkout.""" + pass diff --git a/cstar/marbl/base_model.py b/cstar/marbl/base_model.py index 4bfbffa..1c6d716 100644 --- a/cstar/marbl/base_model.py +++ b/cstar/marbl/base_model.py @@ -34,9 +34,6 @@ def default_checkout_target(self) -> str: def expected_env_var(self) -> str: return "MARBL_ROOT" - def _base_model_adjustments(self) -> None: - pass - def get(self, target: str | Path) -> None: """Clone MARBL code to local machine, set environment, compile libraries. From e9b2cf6098a8bbf842391efc9f330c88369da7dd Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=80=9CDafydd?= <“dafydd_stephenson@hotmail.com”> Date: Fri, 25 Oct 2024 11:48:21 -0600 Subject: [PATCH 22/31] update roms.base_model to get Makefiles from ci dir in ROMS repo, not C-Star --- .../ROMS_Makefiles/NHMG/src/Makefile | 38 --- .../ROMS_Makefiles/Tools-Roms/Make.depend | 249 ----------------- .../ROMS_Makefiles/Tools-Roms/Makefile | 133 ---------- .../ROMS_Makefiles/Tools-Roms/makedep.py | 144 ---------- .../ROMS_Makefiles/Work/Makefile | 68 ----- .../ROMS_Makefiles/src/Makedefs.inc | 251 ------------------ .../ROMS_Makefiles/src/Makefile | 150 ----------- cstar/roms/base_model.py | 3 +- 8 files changed, 1 insertion(+), 1035 deletions(-) delete mode 100644 cstar/additional_files/ROMS_Makefiles/NHMG/src/Makefile delete mode 100644 cstar/additional_files/ROMS_Makefiles/Tools-Roms/Make.depend delete mode 100644 cstar/additional_files/ROMS_Makefiles/Tools-Roms/Makefile delete mode 100755 cstar/additional_files/ROMS_Makefiles/Tools-Roms/makedep.py delete mode 100644 cstar/additional_files/ROMS_Makefiles/Work/Makefile delete mode 100644 cstar/additional_files/ROMS_Makefiles/src/Makedefs.inc delete mode 100644 cstar/additional_files/ROMS_Makefiles/src/Makefile diff --git a/cstar/additional_files/ROMS_Makefiles/NHMG/src/Makefile b/cstar/additional_files/ROMS_Makefiles/NHMG/src/Makefile deleted file mode 100644 index d039e42..0000000 --- a/cstar/additional_files/ROMS_Makefiles/NHMG/src/Makefile +++ /dev/null @@ -1,38 +0,0 @@ -# This line de-activates all implicit rules -.SUFFIXES: - -# Set machine dependent definitions and rules. -include ../../src/Makedefs.inc - -# Library paths: -VPATH = ${NETCDFHOME}/include:${ROMS_ROOT}/NHMG/include -CPATH = ${MPIHOME}/include:${NETCDFHOME}/include:${ROMS_ROOT}/NHMG/include - -# Build list of source files (typically most .f90 files) -SRCS = $(shell ls *$(PPF90_ext)) - -# Exclude some files from list -EXCL = mg_diagnostics mg_netcdf_out_false -EXCL := $(addsuffix $(PPF90_ext), $(EXCL)) -SRCS := $(filter-out $(EXCL), $(SRCS)) - -# Object list is source list with modified file extension -OBJS = $(SRCS:$(PPF90_ext)=$(OBJ_ext)) - -libnhmg = ../lib/libnhmg.a - - -.PHONY: all clean depend - -all: $(libnhmg) - -$(libnhmg): ${libnhmg}(${OBJS}) - cp *.mod ../include/ - -depend depend.mk: - makedepf90 -free $(SRCS} > depend.mk - -clean: - rm -f ${libnhmg} ${OBJS} *.mod - -include depend.mk diff --git a/cstar/additional_files/ROMS_Makefiles/Tools-Roms/Make.depend b/cstar/additional_files/ROMS_Makefiles/Tools-Roms/Make.depend deleted file mode 100644 index 03dd66f..0000000 --- a/cstar/additional_files/ROMS_Makefiles/Tools-Roms/Make.depend +++ /dev/null @@ -1,249 +0,0 @@ -# Make.depend: list of dependencies generated by cross_matrix. -# !!! 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Default values are: - -#UPF77_ext = .F #unprocessed Fortran 77 code -#UPF90_ext = .F90 #unprocessed Fortran 90 code -#PPF77_ext = .f #preprocessed Fortran 77 code -#PPF90_ext = .f90 #preprocessed Fortran 90 code -#OBJ_ext = .o #object files - - -# - Can't use -ip optimization for tools (partit won't compile) -ifeq ($(findstring -ip,$(FFLAGS)),-ip) - FFLAGS :=$(subst -ip,,$(FFLAGS)) -endif -# -------------------------------------------------------------------- - -ALL = partit ncjoin ncjoin_mpi extract_data_join nc3to4z zslice sample -#r2r_bry r2r_match_topo r2r_init - -all: $(info MAKING ROMS TOOLS: ) mpc $(ALL) - -#install: $(ALL) -# mv $(ALL) ~/bin - -# partit -PARTIT = partit insert_node lenstr -PARTIT := $(addsuffix $(OBJ_ext), $(PARTIT)) -partit: $(PARTIT) - $(LDR) $(FFLAGS) $(LDFLAGS) -o partit $(PARTIT) $(LCDF) - -# ncjoin -NCJOIN = ncjoin lenstr -NCJOIN := $(addsuffix $(OBJ_ext), $(NCJOIN)) -ncjoin: $(NCJOIN) - $(LDR) $(FFLAGS) $(LDFLAGS) -o ncjoin $(NCJOIN) $(LCDF) -#ncjoin_mpi -NCJOIN_MPI = ncjoin_mod ncjoin_mpi lenstr -NCJOIN_MPI := $(addsuffix $(OBJ_ext), $(NCJOIN_MPI)) - 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set_depth etch_into_land spln2d tiling roms_read_write\ - read_string lenstr -R2R_INIT ::= $(addsuffix, $(OBJ_ext), $(R2R_INIT)) -r2r_init: $(R2R_INIT) - $(LDR) $(FFLAGS) $(LDFLAGS) -o r2r_init $(R2R_INIT) $(LCDF) - -# r2r_bry -R2R_BRY = r2r_bry r2r_bry_interp r2r_subs r2r_bry_rotate r2r_rotate\ - r2r_vert_interp set_depth etch_into_land spln2d tiling\ - def_bry_file roms_read_write read_string lenstr -R2R_BRY := $(addsuffix $(OBJ_ext),$(R2R_BRY)) -r2r_bry: $(R2R_BRY) - $(LDR) $(FFLAGS) $(LDFLAGS) -o r2r_bry $(R2R_BRY) $(LCDF) - -# zslice -ZSLICE = zslice set_depth sigma_to_z_intr read_add_write\ - roms_read_write read_string lenstr tiling -ZSLICE := $(addsuffix $(OBJ_ext),$(ZSLICE)) -zslice: $(ZSLICE) - $(LDR) $(FFLAGS) -o zslice $(ZSLICE) $(LCDF) - -# ipslice -IPSLICE = ipslice set_depth sigma_to_z_intr rho_eos\ - read_add_write roms_read_write read_string lenstr tiling -IPSLICE := $(addsuffix $(OBJ_ext), $(IPSLICE)) -ipslice: $(IPSLICE) - $(LDR) $(FFLAGS) -o ipslice $(IPSLICE) $(LCDF) -ipslice$(PPF77_ext): zslice$(UPF77_ext) - $(CPP) -P $(CPPFLAGS) -DIPSLICE zslice$(UPF77_ext) | ./mpc > ipslice$(PPF77_ext) - -# r2r_match_topo -R2R_MATCH_TOPO = r2r_match_topo r2r_interp_init mrg_zone_subs tiling\ - spln2d roms_read_write read_string lenstr -R2R_MATCH_TOPO := $(addsuffix $(OBJ_ext),$(R2R_MATCH_TOPO)) -r2r_match_topo: $(R2R_MATCH_TOPO) - $(LDR) $(FFLAGS) $(LDFLAGS) -o r2r_match_topo $(R2R_MATCH_TOPO) $(LCDF) - -# sample -SAMPLE = roms_read_write sample tiling\ - read_add_write read_string lenstr -SAMPLE := $(addsuffix $(OBJ_ext), $(SAMPLE)) -sample: $(SAMPLE) - $(LDR) $(FFLAGS) -o sample $(SAMPLE) $(LCDF) - -# clean -clean: - /bin/rm -f *$(PPF77_ext) *$(OBJ_ext) *.a *.s *.trace *.mod -# clobber -clobber: clean - /bin/rm -f $(ALL) *.bak - -# Note: the following .f: dependencies are needed to make everything -# go through CPP and take custom defined CPPFLAGS rather than compiling -# executables from .F directly. - -chkindent: chkindent$(PPF77_ext) - -# The following two are built from the same source -# and differ only CPP macro setting: - -mreplace$(PPF77_ext): mreplace$(UPF77_ext) - $(CPP) -P $(CPPFLAGS) -DREPLACE mreplace$(UPF77_ext) > mreplace$(PPF77_ext) - -include Make.depend diff --git a/cstar/additional_files/ROMS_Makefiles/Tools-Roms/makedep.py b/cstar/additional_files/ROMS_Makefiles/Tools-Roms/makedep.py deleted file mode 100755 index 72ee84c..0000000 --- a/cstar/additional_files/ROMS_Makefiles/Tools-Roms/makedep.py +++ /dev/null @@ -1,144 +0,0 @@ -#!/usr/bin/env python - -# usage: makedep.py $(DEP_FILE) $(OBJ_DIR) $(SRC_DIR) [$(SRC_DIR2)] - -# Generate $DEP_FILE in $OBJ_DIR (arguments 1 and 2, respectively) -# Read in every file in $SRC_DIR and $SRC_DIR2 (arguments 3 and 4) -# Only depend on modules located in $SRC_DIR or $SRC_DIR2 - -import os -import sys -import re -import logging - -logger = logging.getLogger(__name__) -logging.basicConfig(format="(makedep.py): %(message)s", level=logging.DEBUG) - -try: - dep_file = sys.argv[1] -except IndexError: - dep_file = "depends.d" - -try: - obj_dir = sys.argv[2] -except IndexError: - obj_dir = "." - -try: - src_dir = sys.argv[3] -except IndexError: - src_dir = "." - -try: - src_dir2 = sys.argv[4] -except IndexError: - src_dir2 = src_dir - -try: - inc_dir = sys.argv[5] - files_in_inc_dir = os.listdir(inc_dir) -except IndexError: - inc_dir = "NONE" - -fout = open(dep_file, "w") -files_in_src_dir = os.listdir(src_dir) -if src_dir != src_dir2: - files_in_src_dir.extend(os.listdir(src_dir2)) - -for src_file in files_in_src_dir: - # for src_file in ['diagnostics.F',]: - file_name, file_ext = os.path.splitext(src_file) - if file_ext in [".F", ".opt"]: - try: - fin = open(os.path.join(src_dir, src_file), "r") - except FileNotFoundError: - fin = open(os.path.join(src_dir2, src_file), "r") - - # (1) dependency list from current file should be empty - depends = [""] - for line in fin: - # (2) look for statement that starts with "use" - # (case insensitive) - if re.match("^ *[Uu][Ss][Ee]", line): - line_array = line.split() - # (3) statements are usually "use module, only : subroutine" - # so we need to strip away the , to get the module name - try: - file_used = line_array[1].split(",")[0] - if file_used + ".F" in files_in_src_dir: - # (4) if file hasn't previously been used, add it to list - if file_used not in depends: - depends.append(file_used) - # logging.info(file_name+'.o depends on '+file_used+'.o') - # fout.write(file_name+'.o: '+file_used+'.o\n') - - else: - if inc_dir != "NONE": - if file_used + ".mod" in files_in_inc_dir: - "nothing happens here" - # logging.info(file_name+'.o depends on '+file_used+'.mod') - # fout.write(file_name+'.o: '+file_used+'.mod\n') - else: - # Check for upper case - file_used = file_used.upper() - if file_used + ".mod" in files_in_inc_dir: - "nothing happens here" - # logging.info(file_name+'.o depends on '+file_used+'.mod') - # fout.write(file_name+'.o: '+file_used+'.mod\n') - except IndexError: - print( - "unusual case encountered when looking for use statement in " - + file_name - + " on line " - + line - ) - ################################################################################ - # (2) look for statement that starts with "#include" - # (case insensitive) - elif re.match("^ *[#][iI][nN][cC][lL][uU][dD][eE]", line): - line_array = line.split() - # (3) statements are usually `include "X.opt"` - # so we need to strip away the " to get the file name - try: - file_used = line_array[1].split('"')[1] - if file_used in files_in_src_dir: - # (4) if file hasn't previously been used, add it to list - if file_used not in depends: - depends.append(file_used) - # logging.info(file_name+'.o depends on '+file_used) - # fout.write(file_name+'.o: '+file_used+'.o\n') - - else: - if inc_dir != "NONE": - if file_used + ".mod" in files_in_inc_dir: - "nothing happens here" - # logging.info(file_name+'.o depends on '+file_used+'.mod') - # fout.write(file_name+'.o: '+file_used+'.mod\n') - else: - # Check for upper case - file_used = file_used.upper() - if file_used + ".mod" in files_in_inc_dir: - "nothing happens here" - # logging.info(file_name+'.o depends on '+file_used+'.mod') - # fout.write(file_name+'.o: '+file_used+'.mod\n') - except IndexError: - print( - "unusual case encountered when looking for include statement in " - + file_name - + " on line " - + line - ) - ################################################################################ - DEPSTR = ( - file_name - + ".o : " - + src_file - + " " - + "".join([(depends[i] + ".o ") for i in range(1, len(depends))]) - ) - DEPSTR = DEPSTR.replace(".opt.o", ".opt") - DEPSTR = DEPSTR.replace(".h.o", ".h") - DEPSTR = DEPSTR + "\n" - fout.write(DEPSTR) - fin.close -fout.close() diff --git a/cstar/additional_files/ROMS_Makefiles/Work/Makefile b/cstar/additional_files/ROMS_Makefiles/Work/Makefile deleted file mode 100644 index a5a9fea..0000000 --- a/cstar/additional_files/ROMS_Makefiles/Work/Makefile +++ /dev/null @@ -1,68 +0,0 @@ -# Just type: make -# (In an example directory or work directory) - -# This makefile does: -# 1) Makes a sync of the distribution code to a Compile -# directory here (will create directory if not here yet) -# 2) Copies local files in this directory into that Compile directory -# 3) Compiles code into executable for the example. -# 4) Copies 'roms' from Compile dir into this dir. - -# This line de-activates all implicit rules -.SUFFIXES: - -.PHONY: all clean depend - -all: - ln -s $(ROMS_ROOT)/Examples/input_data input_data 2>/dev/null || : - rsync -a $(ROMS_ROOT)/src/*.F $(ROMS_ROOT)/src/*.h Compile - make show_tag - @rsync -a $(ROMS_ROOT)/src/*.opt Compile - @rsync -a $(ROMS_ROOT)/src/Makedefs.inc Compile - @rsync -a $(ROMS_ROOT)/src/Make.depend Compile - @rsync -a $(ROMS_ROOT)/src/Makefile Compile - @rm Compile/*.f 2>/dev/null || : - cp -p *.h *.F *.opt Makedefs.inc Compile 2>/dev/null || : - cd Compile; make depend 2>/dev/null || : - cd Compile; make -j6; mv roms .. - - -# note: "2>/dev/null || :" above is needed to suppress error -# stop if no .h or .F files in current directory. -# Also, makedepf90 in make depend can throw out strange -# errors for .h files for inexplicable changes made to -# cppdefs.opt. - -# for adding git hash: -tag := $(shell git rev-parse HEAD) -show_tag: - @perl -i -pe 's/git_hash=.*/git_hash="$(tag)"/' Compile/add_git_hash.* - -compile_clean: - rm -r Compile/ roms 2>/dev/null || : - -work_clean: - rm -r Compile/ *.F *.h *.in *.sh *.nc roms 2>/dev/null || : - -code_check_clean: - @cd $(ROMS_ROOT)/Examples/Flux_frc ; make compile_clean - @cd $(ROMS_ROOT)/Examples/Pipes_ana ; make compile_clean - @cd $(ROMS_ROOT)/Examples/Pipes_real ; make compile_clean - @cd $(ROMS_ROOT)/Examples/Rivers_ana ; make compile_clean - @cd $(ROMS_ROOT)/Examples/Rivers_real ; make compile_clean - @cd $(ROMS_ROOT)/Examples/Tracers_passive ; make compile_clean - @cd $(ROMS_ROOT)/Examples/WEC_real ; make compile_clean - - -copy_to_Work_dir: - cp -p *.F *.h *.in *.sh ../../Work 2>/dev/null || : - -nhmg: - cd $(ROMS_ROOT)/NHMG/src; make clean; make - -tools-roms: - cd $(ROMS_ROOT)/Tools-Roms/; make ; - - -# The no-print suppress makes messages of entering/leaving directories -MAKEFLAGS += --no-print-directory diff --git a/cstar/additional_files/ROMS_Makefiles/src/Makedefs.inc b/cstar/additional_files/ROMS_Makefiles/src/Makedefs.inc deleted file mode 100644 index b1d12c9..0000000 --- a/cstar/additional_files/ROMS_Makefiles/src/Makedefs.inc +++ /dev/null @@ -1,251 +0,0 @@ -############################## -# USER OPTIONS # - -#intel (gnu) uses ifort (gfortran) compiler flags -COMPILER ?=intel -#MPI distribution. generic -> mpifort, intel -> mpiifort -MPI_DIST ?=generic -# Configure FFLAGS by setting BUILD_MODE to "debug","strict","vtune",or "grof" -BUILD_MODE ?=regular -# Keep pre-processed source code or not: -KEEP_PPSRC ?=false -############################## -# FILE EXTENSIONS # - -#unprocessed Fortran 77 code -UPF77_ext = .F -#unprocessed Fortran 90 code -UPF90_ext = .F90 -#preprocessed Fortran 77 code -PPF77_ext = .f -#preprocessed Fortran 90 code -PPF90_ext = .f90 -#object files -OBJ_ext = .o - -############################## -# PRELIMINARY CHECKS # - -# If we're using MacOS, typically the filesystem is case-insensitive -# so we should use an alternative extension for preprocessed files: -OS := $(shell uname -s) -ifeq ($(OS),Darwin) - PPF77_ext = .fpp -endif - -# Check MPI distribution: -ifeq ($(MPI_DIST),generic) - LDR = mpifort - CFT = mpifort -else ifeq ($(MPI_DIST),intel) - LDR = mpiifort - CFT = mpiifort -endif - -# Check whether mpifort is wrapping the anticipated compiler -ifeq ($(CFT),mpifort) - ifeq ($(COMPILER),gnu) - expected_fc=GNU Fortran - else ifeq ($(COMPILER),intel) - expected_fc=ifort - endif - MPIVER := $(shell mpifort --version | head -n1) - ifeq ($(findstring $(expected_fc),$(MPIVER)),) - _ := $(error "COMPILER is set to $(COMPILER) but mpifort wraps $(MPIVER). Call make with the COMPILER= argument (either intel or gnu)") - endif -endif - -# For BUILD_MODE = "vtune" or "grof" always keep source code: -ifeq ($(BUILD_MODE),vtune) - KEEP_PPSRC=true -else ifeq ($(BUILD_MODE),grof) - KEEP_PPSRC=true -endif - -#Check whether we're compiling with MARBL: -ifeq ($(wildcard cppdefs.opt),cppdefs.opt) - USEMARBL := $(shell grep -q '^[^!]*\#[[:space:]]*define[[:space:]]*MARBL' cppdefs.opt && echo true || echo false ) -endif - -# Compilation rules for file types: -# (used for every file until the final linking step) - -.SUFFIXES: $(OBJ_ext) $(PPF77_ext) $(UPF77_ext) $(PPF90_ext) -# Unprocessed F77 -> object file (typically .F->.o) -$(UPF77_ext)$(OBJ_ext): - @$(CPP) -P $(CPPFLAGS) $*$(UPF77_ext) | mpc > $*$(PPF77_ext) - $(CFT) -c $(FFLAGS) -o $*$(OBJ_ext) $*$(PPF77_ext) $(LCDF) - @if [ "$(KEEP_PPSRC)" = "false" ]; then \ - /bin/rm -f $*$(PPF77_ext); \ - fi -# unprocessed F77 -> preprocessed (typically .F ->.f) -$(UPF77_ext)$(PPF77_ext): - $(CPP) -P $(CPPFLAGS) $*$(UPF77_ext) | mpc > $*$(PPF77_ext) -# preprocessed F77 -> object file (typically .f->.o) -$(PPF77_ext)$(OBJ_ext): - $(CFT) -c $(FFLAGS) -o $*$(OBJ_ext) $*$(PPF77_ext) $(LCDF) - @if [ "$(KEEP_PPSRC)" = "false" ]; then \ - /bin/rm -f $*$(PPF77_ext); \ - fi -# preprocessed F90 -> object file -$(PPF90_ext)$(OBJ_ext): - $(CFT) -c $(FFLAGS) -o $*$(OBJ_ext) $*$(PPF90_ext) $(LCDF) -$(UPF77_ext): - $(CFT) -o $@ $(FFLAGS) $(LDFLAGS) $< -$(PPF77_ext): - $(CFT) -o $@ $(FFLAGS) $(LDFLAGS) $< -$(PPF90_ext): - $(CFT) -o $@ $(FFLAGS) $(LDFLAGS) $< -$(OBJ_ext): - $(CFT) -o $@ $(FFLAGS) $(LDFLAGS) $< - -# C-preprocessor (cpp): -# cpp from Intel compiler package "fpp" treats __IFC as -# a pre-defined, so there is no need to include it into CPPFLAGS, but -# the standard CPP is not aware of this. - -# The CPP line below needs to have 'spaces' not 'tabs' unlike the rest. - CPP = /usr/bin/cpp - CPPFLAGS = -traditional -D__IFC -I${MPIHOME}/include -I${NETCDFHOME}/include -ifeq ($(USEMARBL),true) - CPPFLAGS+= -I${MARBL_ROOT}/include -endif - -# Since we no longer keep preprocessed files after compilation, if you want to still -# see them to confirm what code is left after c-pre-processing (CPPFLAGS -# removed) or for runtime debug line numbers, use the following -# in the Compile/ folder (change 'main' for your file of interest): -# /lib/cpp -traditional -D__IFC -P main$(UPF77_ext) | ./mpc > main.$(PPF77_ext) - -# Path names (non-hydrostatic & NetCDF libraries): - NHMG_ROOT = $(ROMS_ROOT)/NHMG - NHMG_LIB = -L$(NHMG_ROOT)/lib -lnhmg - NHMG_INC = $(NHMG_ROOT)/include - - VPATH = ${MPIHOME}/include:${NHMG_INC} - CPATH = ${MPIHOME}/include:${NHMG_INC} - -# Get netCDF paths and options ('shell' is needed to use command) -# Some systems return empty strings for `n{c,f}-config --args`, so using $(or as a fallback - NETCDFF_INC=$(or $(shell nf-config --fflags), -I$(NETCDFHOME)include) - NETCDFF_LIB=$(or $(shell nf-config --flibs) , -L$(NETCDFHOME)lib -lnetcdf -lnetcdff) - NETCDFC_INC=$(or $(shell nc-config --cflags), -I$(NETCDFHOME)include) - NETCDFC_LIB=$(or $(shell nc-config --libs), -L$(NETCDFHOME)lib -lnetcdf) - -# MARBL -ifeq ($(USEMARBL),true) - ifeq ($(COMPILER),gnu) - MARBL_INC = -I$(MARBL_ROOT)/include/gnu-mpi - MARBL_LIB = -lmarbl-gnu-mpi -L$(MARBL_ROOT)/lib - else ifeq ($(COMPILER),intel) - MARBL_INC = -I$(MARBL_ROOT)/include/intel-mpi - MARBL_LIB = -lmarbl-intel-mpi -L$(MARBL_ROOT)/lib - endif -endif - -# COMPILER SETTINGS: - -# OpenMP flags: -ifeq ($(COMPILER),intel) - OMP_FLAG = -qopenmp -else ifeq ($(COMPILER),gnu) - OMP_FLAG = -cpp -fopenmp -endif - -# Large memory runs (e.g. for bgc): -# LARGE_MEM_FLAG = -mcmodel=medium -# LARGE_MEM_FLAG = -mcmodel=large - -# Fortran compiler flags: -ifeq ($(COMPILER),intel) - CFTFLAGS= -pc64 -auto -endif - -# Fortran compiler options: - CFTFLAGS += $(OMP_FLAG) $(LARGE_MEM_FLAG) - -# Fortran loader options: - LDFLAGS = $(OMP_FLAG) $(CFTFLAGS) $(LARGE_MEM_FLAG) - -# Fortran compiler options/flags: -# - Optimized: (-ip = additional interprocedural optimizations for single-file compilation. ) -ifeq ($(COMPILER),intel) - FFLAGS = -O3 -ip - ifeq ($(BUILD_MODE),debug) - FFLAGS = -g -traceback -check all -# for code_check script ensure consistency with -fp-model strict: - else ifeq ($(BUILD_MODE),strict) - FFLAGS += -fp-model strict -# - for profiling with vtune to see source code: - else ifeq ($(BUILD_MODE),vtune) - FFLAGS = -g -debug inline-debug-info -parallel-source-info=2 -# - for profiling with grof to see source code: - else ifeq ($(BUILD_MODE),grof) - FFLAGS += -pg - endif -else ifeq ($(COMPILER),gnu) - FFLAGS = -O3 -fallow-argument-mismatch - ifeq ($(BUILD_MODE),debug) - FFLAGS = -fallow-argument-mismatch -g -fbacktrace -fcheck=all - endif -endif - - -# Options to link to libraries & modules (NetCDF, etc): - LCDF = $(NHMG_LIB) $(NETCDFF_LIB) $(NETCDFC_LIB) $(NETCDFF_INC) $(NETCDFC_INC) -ifeq ($(USEMARBL),true) - LCDF += $(MARBL_LIB) $(MARBL_INC) -endif - -# ------------------------------------------------------------- - -# Compiler settings info: - -# -fpp2 is required only if -openmp is present. -# Not having -fpp2 here just causes compiler warning (-fpp is set to -# level 2 by -openmp), but other than that has no effect. - -# Switch -pc80 increases precision of floating point operation to -# 64 bits (vs. 53 bits double precision default). -# -# -qp compiles and links for function profiling with gprof(1); -# this is the same as specifying -p or -pg. -# -# Setting FFLAGS = -O2 -mp (or lower optimization level) is needed -# to pass ETALON_CHECK: -O3 causes roundoff-level differences from -# the length of innermost i-loop (the results still pass ETALON_CHECK -# if NP_XI = NSUB_X = 1, regardless of partition in ETA-direction). -# As of ifort v. 11.0.xxx -mp is superseeded by -fp-model flag. - -# Flags collected under LARGE_MEM_FLAG are needed only if exceeding -# 2 GBytes of memory: both -mcmodel (sets size of addressing pointers) -# and -i-dynamic (ensures proper linking with Intel dynamic libraries -# must be specified. - -# -pc = control of floating point precision -# pc64 = double precision (53 bit) -# pc80 = extended precision (64 bit)) - this is the default - -# -auto: This option places local variables (scalars and arrays of all -# types), except those declared as SAVE, on the run-time stack. It is -# as if the variables were declared with the AUTOMATIC attribute. -# This option may provide a performance gain for your program, but if -# your program depends on variables having the same value as the last -# time the routine was invoked, your program may not function properly. -# the default is 'auto-scalar'. - -# LARGE_MEM_FLAG: -# -mcmodel: Tells the compiler to use a specific memory model to -# generate code and store data. -# -shared-intel: Causes Intel-provided libraries to be linked in -# dynamically. This is the default for -mcmodel=medium or -mcmodel=large -# (-shared-intel was previously -i-dynamic, now depracated) - -# LIBRARY & MODULE LINKING: -# Had issues compiling ROMS to the Israeli cluster. This was because previously -# LCDF was only including in the linking stage in Makefile. Now that we 'use' modules, -# the compiler needs to find the module while compiling each file, otherwise it will -# not know if those vars/subroutines used actually exist. -# This was not an issue before with #include netcdf.inc because the external function -# is declared within the source code, so it only needs to be linked at the end. -# The order of $(NETCDFF_LIB) $(NETCDFC_LIB) was important, I am not sure why. diff --git a/cstar/additional_files/ROMS_Makefiles/src/Makefile b/cstar/additional_files/ROMS_Makefiles/src/Makefile deleted file mode 100644 index 378d0c5..0000000 --- a/cstar/additional_files/ROMS_Makefiles/src/Makefile +++ /dev/null @@ -1,150 +0,0 @@ -# Universal machine independent makefile for ROMS model -#========== ======= =========== ======== === ==== ===== -# Set machine dependent definitions and rules. - -include Makedefs.inc - -# Build ROMS source list from unprocessed F77 files (typically .F extension) - SRCS = $(shell ls *$(UPF77_ext)) - -# Exclude files that are not part of main build - EXCL = mpi_test checkkwds cppcheck srcscheck check_alfabeta check_rho_eos int_r3d sediment t3dmix_GP transp_nodes u3dbc_new visc3d_GP visc3d_S_FS - EXCL := $(addsuffix $(UPF77_ext), $(EXCL)) - SRCS := $(filter-out $(EXCL), $(SRCS)) - -# Include files that do not exist yet but -# are generated as part of the build: - INCL = check_srcs check_switches1 setup_kwds - INCL := $(addsuffix $(UPF77_ext), $(INCL)) - SRCS := $(SRCS) $(INCL) - -# Object and pre-processed source files are source list with extension changes - RCS = $(SRCS:$(UPF77_ext)=$(PPF77_ext)) - OBJS = $(RCS:$(PPF77_ext)=$(OBJ_ext)) - - SBIN = roms - LROMS = libroms.a - LROMS2 = 2/$(LROMS) - LROMS3 = 2/$(LROMS) 3/$(LROMS) - LROMS4 = 2/$(LROMS) 3/$(LROMS) 4/$(LROMS) - -########### -# TARGETS # -########### - -# ROMS excutable (This is the first target and hence the default): -$(SBIN): $(OBJS) - $(LDR) $(FFLAGS) $(LDFLAGS) -o a.out $(OBJS) $(LCDF) $(LMPI) - mv a.out $(SBIN) - - -# Multilevel libraries - -$(LROMS): $(OBJS) - /bin/rm -f $(LROMS) - ar r $(LROMS) $(OBJS) - - -check_forces: check_forces$(OBJ_ext) $(SBIN) - cp -pv check_forces$(OBJ_ext) main$(OBJ_ext) - $(LDR) $(FFLAGS) $(LDFLAGS) -o a.out $(OBJS) $(LCDF) $(LMPI) - mv a.out check_forces - -# Everything -.PHONY: all -all: tools depend $(SBIN) - -# A program to test MPI halo exchange routines. -# - ------- -- ---- --- ---- -------- --------- -MPI_TEST = mpi_test mpi_setup exchange mpi_exchange4\ - mpi_exchange8WA -MPI_TEST_RCS := $(addsuffix $(PPF77_ext), $(MPI_TEST)) -MPI_TEST_OBJ := $(addsuffix $(OBJ_ext) , $(MPI_TEST)) - -mpi_test: $(MPI_TEST_OBJ) - $(LDR) $(FFLAGS) $(LDFLAGS) -o mpi_test $(MPI_TEST_OBJ) $(LCDF) $(LMPI) - -# Auxiliary utility programs -# --------- ------- -------- - TOOLS = cppcheck srcscheck checkkwds redefs - -tools: $(TOOLS) - - TMP = . - -cppcheck: cppcheck$(OBJ_ext) - $(CFT) $(FFLAGS) $(LDFLAGS) -o cppcheck cppcheck$(OBJ_ext) - -srcscheck: srcscheck$(OBJ_ext) - $(CFT) $(FFLAGS) $(LDFLAGS) -o srcscheck srcscheck$(OBJ_ext) - -checkkwds: checkkwds$(OBJ_ext) - $(CFT) $(FFLAGS) $(LDFLAGS) -o checkkwds checkkwds$(OBJ_ext) - -redefs: redefs$(OBJ_ext) - $(CFT) $(FFLAGS) $(LDFLAGS) -o redefs redefs$(OBJ_ext) - - - -checkdefs: check_switches1$(UPF77_ext) setup_kwds$(UPF77_ext) - -check_switches1$(UPF77_ext): cppcheck cppdefs.opt - ./cppcheck cppdefs.opt -check_srcs$(UPF77_ext): srcscheck Makefile - ./srcscheck -setup_kwds$(UPF77_ext): checkkwds read_inp$(UPF77_ext) - ./checkkwds - -.PHONY: depend -depend: # makedepf90 is preferable but does not work on e.g. osx-arm64. Offer python fallback. - @${ROMS_ROOT}/Tools-Roms/makedepf90 $(SRCS) > Make.depend || \ - (echo "failed to generate dependency list with makedepf90, using python fallback"; \ - ${ROMS_ROOT}/Tools-Roms/makedep.py Make.depend) - @echo 'Updated Make.depend (dependency list)' - -# Target to create tar file. -# ------ -- ------ --- ----- -tarfile: clean - tar cvf roms.tar Make* *$(UPF77_ext) *.h etalon_data.* README.* *.in* *.mod - -# Cleaning targets -# -------- ------- -.PHONY: clean -clean: - /bin/rm -rf *$(PPF77_ext) *$(OBJ_ext) *.a *.s *.mod *.trace *~ $(COMP_FILES) - -.PHONY: allclean -allclean: clean - cd 2; make -f ./Makefile clean; cd .. - cd 3; make -f ./Makefile clean; cd .. - cd 4; make -f ./Makefile clean; cd .. - -.PHONY: clobber -clobber: clean - /bin/rm -f check_switches1$(UPF77_ext) setup_kwds$(UPF77_ext) check_srcs$(UPF77_ext) - /bin/rm -f $(SBIN) $(TOOLS) nsub - /bin/rm -f core core.* - /bin/rm -f *_genmod.mod *_genmod$(PPF90_ext) - -.PHONY: help -help: - @echo "Universal make procedure for ucla-roms, compatible with most UNIX systems." - @echo "The following user options are available" - @echo "COMPILER (fortran compiler):" - @echo " intel : default, use ifort as compiler" - @echo " gnu : use gfortran as compiler" - @echo "MPI_DIST (mpi distribution):" - @echo " generic: default, uses mpifort as a wrapper for the fortran compiler" - @echo " intel : use intel mpiifort as a wrapper for the fortran compiler" - @echo "BUILD_MODE:" - @echo " regular : default, uses optimisation level 3" - @echo " debug : compile with debug flags" - @echo " strict : compile with -fp-model strict (intel only)" - @echo " vtune : compile with flags for profiling with vtune (intel only)" - @echo " grof : compile with flags for profiling with grof (intel only)" - @echo "KEEP_PPSRC:" - @echo " true : keep pre-processed source code after processing" - @echo " false : delete pre-processed source code after processing" - -# Automatically generated dependency list: -include Make.depend diff --git a/cstar/roms/base_model.py b/cstar/roms/base_model.py index bff7978..214a2c2 100644 --- a/cstar/roms/base_model.py +++ b/cstar/roms/base_model.py @@ -8,7 +8,6 @@ _write_to_config_file, ) from cstar.base.environment import ( - _CSTAR_ROOT, _CSTAR_COMPILER, _CSTAR_ENVIRONMENT_VARIABLES, ) @@ -47,7 +46,7 @@ def _base_model_adjustments(self) -> None: computing systems. """ shutil.copytree( - _CSTAR_ROOT + "/additional_files/ROMS_Makefiles/", + Path(os.environ[self.expected_env_var]) / "ci/ci_makefiles/", os.environ[self.expected_env_var], dirs_exist_ok=True, ) From cb7477286e358a2c9cf20727520a4e01868f8943 Mon Sep 17 00:00:00 2001 From: Nora Loose Date: Tue, 29 Oct 2024 19:08:28 -0600 Subject: [PATCH 23/31] Incorporating internal tester feedback for notebook 4 (#159) * Rerun roms-tools notebook with updated timing * Incorporate tester feedback into notebook 4 --- docs/4_preparing_roms_input_datasets.ipynb | 2592 ++++++++++---------- 1 file changed, 1316 insertions(+), 1276 deletions(-) diff --git a/docs/4_preparing_roms_input_datasets.ipynb b/docs/4_preparing_roms_input_datasets.ipynb index c57ae98..5552758 100644 --- a/docs/4_preparing_roms_input_datasets.ipynb +++ b/docs/4_preparing_roms_input_datasets.ipynb @@ -146,8 +146,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 1.29 s, sys: 100 ms, total: 1.39 s\n", - "Wall time: 2.32 s\n" + "CPU times: user 1.31 s, sys: 66.6 ms, total: 1.38 s\n", + "Wall time: 2.35 s\n" ] } ], @@ -659,7 +659,7 @@ " Cs_w (s_w) float32 84B -1.0 -0.9114 ... -0.0009921 0.0\n", "Attributes:\n", " title: ROMS grid created by ROMS-Tools\n", - " roms_tools_version: 1.5.0\n", + " roms_tools_version: 1.6.0\n", " size_x: 800\n", " size_y: 800\n", " center_lon: -18\n", @@ -669,7 +669,7 @@ " hmin: 5.0\n", " theta_s: 5.0\n", " theta_b: 2.0\n", - " hc: 300.0
                • title :
                  ROMS grid created by ROMS-Tools
                  roms_tools_version :
                  1.6.0
                  size_x :
                  800
                  size_y :
                  800
                  center_lon :
                  -18
                  center_lat :
                  65
                  rot :
                  20
                  topography_source :
                  ETOPO5
                  hmin :
                  5.0
                  theta_s :
                  5.0
                  theta_b :
                  2.0
                  hc :
                  300.0
                • " ], "text/plain": [ " Size: 603kB\n", @@ -1423,7 +1423,7 @@ " Cs_w (s_w) float32 84B -1.0 -0.9114 ... -0.0009921 0.0\n", "Attributes:\n", " title: ROMS grid created by ROMS-Tools\n", - " roms_tools_version: 1.5.0\n", + " roms_tools_version: 1.6.0\n", " size_x: 800\n", " size_y: 800\n", " center_lon: -18\n", @@ -1518,7 +1518,7 @@ "output_type": "stream", "text": [ "---\n", - "roms_tools_version: 1.5.0\n", + "roms_tools_version: 1.6.0\n", "---\n", "Grid:\n", " N: 20\n", @@ -1620,8 +1620,8 @@ "output_type": "stream", "text": [ "Selected time entry closest to the specified start_time (2012-08-10 12:00:00) within the range [2012-08-10 12:00:00, 2012-08-11 12:00:00]: ['2012-08-10T12:00:00.000000000']\n", - "CPU times: user 3min 21s, sys: 1.98 s, total: 3min 23s\n", - "Wall time: 15.3 s\n" + "CPU times: user 3min 6s, sys: 1.85 s, total: 3min 8s\n", + "Wall time: 13.1 s\n" ] } ], @@ -2039,18 +2039,18 @@ " fill: currentColor;\n", "}\n", "
                  <xarray.Dataset> Size: 3MB\n",
                  -       "Dimensions:      (ocean_time: 1, s_rho: 20, eta_rho: 32, xi_rho: 32, xi_u: 31,\n",
                  +       "Dimensions:      (ocean_time: 1, eta_rho: 32, xi_rho: 32, s_rho: 20, xi_u: 31,\n",
                          "                  eta_v: 31, s_w: 21)\n",
                          "Coordinates:\n",
                          "    abs_time     (ocean_time) datetime64[ns] 8B 2012-08-10T12:00:00\n",
                          "  * ocean_time   (ocean_time) float64 8B 3.979e+08\n",
                  -       "Dimensions without coordinates: s_rho, eta_rho, xi_rho, xi_u, eta_v, s_w\n",
                  +       "Dimensions without coordinates: eta_rho, xi_rho, s_rho, xi_u, eta_v, s_w\n",
                          "Data variables: (12/42)\n",
                  +       "    zeta         (ocean_time, eta_rho, xi_rho) float32 4kB -0.6053 ... -0.8647\n",
                          "    temp         (ocean_time, s_rho, eta_rho, xi_rho) float32 82kB 3.113 ... ...\n",
                          "    salt         (ocean_time, s_rho, eta_rho, xi_rho) float32 82kB 34.96 ... ...\n",
                          "    u            (ocean_time, s_rho, eta_rho, xi_u) float32 79kB 0.02931 ... ...\n",
                          "    v            (ocean_time, s_rho, eta_v, xi_rho) float32 79kB 0.01259 ... ...\n",
                  -       "    zeta         (ocean_time, eta_rho, xi_rho) float32 4kB -0.6053 ... -0.8647\n",
                          "    ubar         (ocean_time, eta_rho, xi_u) float32 4kB 0.02655 ... -0.001648\n",
                          "    ...           ...\n",
                          "    diazFe       (ocean_time, s_rho, eta_rho, xi_rho) float32 82kB -4.748e-09...\n",
                  @@ -2061,14 +2061,26 @@
                          "    Cs_w         (s_w) float32 84B -1.0 -0.9114 -0.809 ... -0.0009921 0.0\n",
                          "Attributes:\n",
                          "    title:                 ROMS initial conditions file created by ROMS-Tools\n",
                  -       "    roms_tools_version:    1.5.0\n",
                  +       "    roms_tools_version:    1.6.0\n",
                          "    ini_time:              2012-08-10 12:00:00\n",
                          "    model_reference_date:  2000-01-01 00:00:00\n",
                          "    source:                GLORYS\n",
                          "    bgc_source:            CESM_REGRIDDED\n",
                          "    theta_s:               5.0\n",
                          "    theta_b:               2.0\n",
                  -       "    hc:                    300.0
                  • ocean_time
                    PandasIndex
                    PandasIndex(Index([397915200.0], dtype='float64', name='ocean_time'))
                • title :
                  ROMS initial conditions file created by ROMS-Tools
                  roms_tools_version :
                  1.6.0
                  ini_time :
                  2012-08-10 12:00:00
                  model_reference_date :
                  2000-01-01 00:00:00
                  source :
                  GLORYS
                  bgc_source :
                  CESM_REGRIDDED
                  theta_s :
                  5.0
                  theta_b :
                  2.0
                  hc :
                  300.0
                • " ], "text/plain": [ " Size: 3MB\n", - "Dimensions: (ocean_time: 1, s_rho: 20, eta_rho: 32, xi_rho: 32, xi_u: 31,\n", + "Dimensions: (ocean_time: 1, eta_rho: 32, xi_rho: 32, s_rho: 20, xi_u: 31,\n", " eta_v: 31, s_w: 21)\n", "Coordinates:\n", " abs_time (ocean_time) datetime64[ns] 8B 2012-08-10T12:00:00\n", " * ocean_time (ocean_time) float64 8B 3.979e+08\n", - "Dimensions without coordinates: s_rho, eta_rho, xi_rho, xi_u, eta_v, s_w\n", + "Dimensions without coordinates: eta_rho, xi_rho, s_rho, xi_u, eta_v, s_w\n", "Data variables: (12/42)\n", + " zeta (ocean_time, eta_rho, xi_rho) float32 4kB -0.6053 ... -0.8647\n", " temp (ocean_time, s_rho, eta_rho, xi_rho) float32 82kB 3.113 ... ...\n", " salt (ocean_time, s_rho, eta_rho, xi_rho) float32 82kB 34.96 ... ...\n", " u (ocean_time, s_rho, eta_rho, xi_u) float32 79kB 0.02931 ... ...\n", " v (ocean_time, s_rho, eta_v, xi_rho) float32 79kB 0.01259 ... ...\n", - " zeta (ocean_time, eta_rho, xi_rho) float32 4kB -0.6053 ... -0.8647\n", " ubar (ocean_time, eta_rho, xi_u) float32 4kB 0.02655 ... -0.001648\n", " ... ...\n", " diazFe (ocean_time, s_rho, eta_rho, xi_rho) float32 82kB -4.748e-09...\n", @@ -3676,7 +3676,7 @@ " Cs_w (s_w) float32 84B -1.0 -0.9114 -0.809 ... -0.0009921 0.0\n", "Attributes:\n", " title: ROMS initial conditions file created by ROMS-Tools\n", - " roms_tools_version: 1.5.0\n", + " roms_tools_version: 1.6.0\n", " ini_time: 2012-08-10 12:00:00\n", " model_reference_date: 2000-01-01 00:00:00\n", " source: GLORYS\n", @@ -3872,8 +3872,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 42 s, sys: 618 ms, total: 42.6 s\n", - "Wall time: 8.13 s\n" + "CPU times: user 46.4 s, sys: 1.01 s, total: 47.5 s\n", + "Wall time: 8.84 s\n" ] } ], @@ -4284,20 +4284,20 @@ "Data variables:\n", " ssh_Re (ntides, eta_rho, xi_rho) float32 41kB 0.6173 0.6247 ... -0.0198\n", " ssh_Im (ntides, eta_rho, xi_rho) float32 41kB -0.4568 ... -0.007206\n", + " pot_Re (ntides, eta_rho, xi_rho) float32 41kB 0.05192 ... -0.0007893\n", + " pot_Im (ntides, eta_rho, xi_rho) float32 41kB 0.008197 ... 0.002649\n", " u_Re (ntides, eta_rho, xi_u) float32 40kB -0.01072 ... 8.424e-05\n", - " u_Im (ntides, eta_rho, xi_u) float32 40kB 0.006649 ... -1.048e-05\n", " v_Re (ntides, eta_v, xi_rho) float32 40kB 0.02044 0.02003 ... 0.00015\n", + " u_Im (ntides, eta_rho, xi_u) float32 40kB 0.006649 ... -1.048e-05\n", " v_Im (ntides, eta_v, xi_rho) float32 40kB -0.007885 ... -0.0001538\n", - " pot_Re (ntides, eta_rho, xi_rho) float32 41kB 0.05192 ... -0.0007893\n", - " pot_Im (ntides, eta_rho, xi_rho) float32 41kB 0.008197 ... 0.002649\n", "Attributes:\n", " title: ROMS tidal forcing created by ROMS-Tools\n", - " roms_tools_version: 1.5.0\n", + " roms_tools_version: 1.6.0\n", " source: TPXO\n", " model_reference_date: 2000-01-01 00:00:00\n", - " allan_factor: 2.0
                  • title :
                    ROMS tidal forcing created by ROMS-Tools
                    roms_tools_version :
                    1.6.0
                    source :
                    TPXO
                    model_reference_date :
                    2000-01-01 00:00:00
                    allan_factor :
                    2.0
                  • " ], "text/plain": [ " Size: 323kB\n", @@ -4628,15 +4628,15 @@ "Data variables:\n", " ssh_Re (ntides, eta_rho, xi_rho) float32 41kB 0.6173 0.6247 ... -0.0198\n", " ssh_Im (ntides, eta_rho, xi_rho) float32 41kB -0.4568 ... -0.007206\n", + " pot_Re (ntides, eta_rho, xi_rho) float32 41kB 0.05192 ... -0.0007893\n", + " pot_Im (ntides, eta_rho, xi_rho) float32 41kB 0.008197 ... 0.002649\n", " u_Re (ntides, eta_rho, xi_u) float32 40kB -0.01072 ... 8.424e-05\n", - " u_Im (ntides, eta_rho, xi_u) float32 40kB 0.006649 ... -1.048e-05\n", " v_Re (ntides, eta_v, xi_rho) float32 40kB 0.02044 0.02003 ... 0.00015\n", + " u_Im (ntides, eta_rho, xi_u) float32 40kB 0.006649 ... -1.048e-05\n", " v_Im (ntides, eta_v, xi_rho) float32 40kB -0.007885 ... -0.0001538\n", - " pot_Re (ntides, eta_rho, xi_rho) float32 41kB 0.05192 ... -0.0007893\n", - " pot_Im (ntides, eta_rho, xi_rho) float32 41kB 0.008197 ... 0.002649\n", "Attributes:\n", " title: ROMS tidal forcing created by ROMS-Tools\n", - " roms_tools_version: 1.5.0\n", + " roms_tools_version: 1.6.0\n", " source: TPXO\n", " model_reference_date: 2000-01-01 00:00:00\n", " allan_factor: 2.0" @@ -4701,7 +4701,7 @@ { "data": { "text/plain": [ - "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/tidal_forcing.nc')]" + "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/roms_tides.nc')]" ] }, "execution_count": 26, @@ -4710,7 +4710,7 @@ } ], "source": [ - "tidal_forcing.save(f\"{target_dir}/tidal_forcing.nc\")" + "tidal_forcing.save(f\"{target_dir}/roms_tides.nc\")" ] }, { @@ -4731,7 +4731,7 @@ }, "outputs": [], "source": [ - "tidal_forcing.to_yaml(f\"{target_dir}/tidal_forcing.yaml\")" + "tidal_forcing.to_yaml(f\"{target_dir}/roms_tides.yaml\")" ] }, { @@ -4828,8 +4828,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 2.68 s, sys: 264 ms, total: 2.94 s\n", - "Wall time: 6.65 s\n" + "CPU times: user 5min 8s, sys: 444 ms, total: 5min 9s\n", + "Wall time: 7.89 s\n" ] } ], @@ -5241,23 +5241,23 @@ " * time (time) float64 1kB 4.606e+03 4.606e+03 ... 4.612e+03 4.612e+03\n", "Dimensions without coordinates: eta_rho, xi_rho\n", "Data variables:\n", - " uwnd (time, eta_rho, xi_rho) float32 692kB 6.236 6.182 ... -3.38 -3.462\n", - " vwnd (time, eta_rho, xi_rho) float32 692kB 8.239 8.16 ... 1.51 1.503\n", " swrad (time, eta_rho, xi_rho) float32 692kB 249.2 234.9 ... 222.6 272.9\n", " lwrad (time, eta_rho, xi_rho) float32 692kB 368.8 370.9 ... 341.3 335.0\n", " Tair (time, eta_rho, xi_rho) float32 692kB 13.88 13.9 ... 7.3 7.292\n", - " rain (time, eta_rho, xi_rho) float32 692kB 0.07277 0.1024 ... 0.003101\n", " qair (time, eta_rho, xi_rho) float32 692kB 0.009035 ... 0.006102\n", + " rain (time, eta_rho, xi_rho) float32 692kB 0.07277 0.1024 ... 0.003101\n", + " uwnd (time, eta_rho, xi_rho) float32 692kB 6.236 6.182 ... -3.38 -3.462\n", + " vwnd (time, eta_rho, xi_rho) float32 692kB 8.239 8.16 ... 1.51 1.503\n", "Attributes:\n", " title: ROMS surface forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.5.0\n", + " roms_tools_version: 1.6.0\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: ERA5\n", " correct_radiation: True\n", " use_coarse_grid: False\n", " model_reference_date: 2000-01-01 00:00:00\n", - " type: physics
                  • title :
                    ROMS surface forcing file created by ROMS-Tools
                    roms_tools_version :
                    1.6.0
                    start_time :
                    2012-08-10 12:00:00
                    end_time :
                    2012-08-17 12:00:00
                    source :
                    ERA5
                    correct_radiation :
                    True
                    use_coarse_grid :
                    False
                    model_reference_date :
                    2000-01-01 00:00:00
                    type :
                    physics
                  • " ], "text/plain": [ " Size: 5MB\n", @@ -5673,16 +5673,16 @@ " * time (time) float64 1kB 4.606e+03 4.606e+03 ... 4.612e+03 4.612e+03\n", "Dimensions without coordinates: eta_rho, xi_rho\n", "Data variables:\n", - " uwnd (time, eta_rho, xi_rho) float32 692kB 6.236 6.182 ... -3.38 -3.462\n", - " vwnd (time, eta_rho, xi_rho) float32 692kB 8.239 8.16 ... 1.51 1.503\n", " swrad (time, eta_rho, xi_rho) float32 692kB 249.2 234.9 ... 222.6 272.9\n", " lwrad (time, eta_rho, xi_rho) float32 692kB 368.8 370.9 ... 341.3 335.0\n", " Tair (time, eta_rho, xi_rho) float32 692kB 13.88 13.9 ... 7.3 7.292\n", - " rain (time, eta_rho, xi_rho) float32 692kB 0.07277 0.1024 ... 0.003101\n", " qair (time, eta_rho, xi_rho) float32 692kB 0.009035 ... 0.006102\n", + " rain (time, eta_rho, xi_rho) float32 692kB 0.07277 0.1024 ... 0.003101\n", + " uwnd (time, eta_rho, xi_rho) float32 692kB 6.236 6.182 ... -3.38 -3.462\n", + " vwnd (time, eta_rho, xi_rho) float32 692kB 8.239 8.16 ... 1.51 1.503\n", "Attributes:\n", " title: ROMS surface forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.5.0\n", + " roms_tools_version: 1.6.0\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: ERA5\n", @@ -5761,7 +5761,7 @@ { "data": { "text/plain": [ - "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/physical_surface_forcing_201208.nc')]" + "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/roms_frc_201208.nc')]" ] }, "execution_count": 33, @@ -5770,7 +5770,7 @@ } ], "source": [ - "surface_forcing.save(f\"{target_dir}/physical_surface_forcing.nc\")" + "surface_forcing.save(f\"{target_dir}/roms_frc.nc\")" ] }, { @@ -5778,7 +5778,12 @@ "id": "69f52d8c-b2bf-49d6-b174-ca524a498fcf", "metadata": {}, "source": [ - "From the path printed to screen, you can see that `ROMS-Tools` appended `_201208` to the file path that we specified. If we had asked for a time range spanning several months, `ROMS-Tools` would have written several files (ordered by months)." + "
                    \n", + "\n", + "Note\n", + "\n", + "From the path printed to screen, you can see that `ROMS-Tools` appended `_201208` to the file path that we specified. If we had asked for a time range spanning several months, `ROMS-Tools` would have written several files (ordered by months). \n", + "
                    " ] }, { @@ -5790,7 +5795,7 @@ }, "outputs": [], "source": [ - "surface_forcing.to_yaml(f\"{target_dir}/physical_surface_forcing.yaml\")" + "surface_forcing.to_yaml(f\"{target_dir}/roms_frc.yaml\")" ] }, { @@ -5826,8 +5831,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 101 ms, sys: 8.07 ms, total: 109 ms\n", - "Wall time: 444 ms\n" + "CPU times: user 108 ms, sys: 8.07 ms, total: 116 ms\n", + "Wall time: 395 ms\n" ] } ], @@ -6243,15 +6248,15 @@ " nhy (time, eta_rho, xi_rho) float32 8kB 1.186e-12 ... 4.717e-13\n", "Attributes:\n", " title: ROMS surface forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.5.0\n", + " roms_tools_version: 1.6.0\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: CESM_REGRIDDED\n", " correct_radiation: False\n", " use_coarse_grid: False\n", " model_reference_date: 2000-01-01 00:00:00\n", - " type: bgc
                    • title :
                      ROMS surface forcing file created by ROMS-Tools
                      roms_tools_version :
                      1.6.0
                      start_time :
                      2012-08-10 12:00:00
                      end_time :
                      2012-08-17 12:00:00
                      source :
                      CESM_REGRIDDED
                      correct_radiation :
                      False
                      use_coarse_grid :
                      False
                      model_reference_date :
                      2000-01-01 00:00:00
                      type :
                      bgc
                    • " ], "text/plain": [ " Size: 49kB\n", @@ -6429,7 +6434,7 @@ " nhy (time, eta_rho, xi_rho) float32 8kB 1.186e-12 ... 4.717e-13\n", "Attributes:\n", " title: ROMS surface forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.5.0\n", + " roms_tools_version: 1.6.0\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: CESM_REGRIDDED\n", @@ -6468,7 +6473,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
                      " ] @@ -6500,7 +6505,7 @@ { "data": { "text/plain": [ - "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/bgc_surface_forcing_2012.nc')]" + "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/roms_frc_bgc_2012.nc')]" ] }, "execution_count": 39, @@ -6509,7 +6514,7 @@ } ], "source": [ - "bgc_surface_forcing.save(f\"{target_dir}/bgc_surface_forcing.nc\")" + "bgc_surface_forcing.save(f\"{target_dir}/roms_frc_bgc.nc\")" ] }, { @@ -6517,9 +6522,16 @@ "id": "2f6fd6e1-e86a-4ee5-bb30-80d9ac60562d", "metadata": {}, "source": [ - "From the path printed to screen, you can see that `ROMS-Tools` appended `_2012` to the file path that we specified. Since the provided BGC has monthly frequency (as opposed to the hourly ERA5 data), `ROMS-Tools` ordered the processed data by years (as opposed to months)." - ] - }, + "
                      \n", + "\n", + "Note\n", + "\n", + "From the path printed to screen, you can see that `ROMS-Tools` appended `_2012` to the file path that we specified. Since the provided BGC has monthly frequency (as opposed to the hourly ERA5 data), `ROMS-Tools` ordered the processed data by years (as opposed to months).\n", + "\n", + "
                      \n", + "\n" + ] + }, { "cell_type": "code", "execution_count": 40, @@ -6529,7 +6541,7 @@ }, "outputs": [], "source": [ - "bgc_surface_forcing.to_yaml(f\"{target_dir}/bgc_surface_forcing.yaml\")" + "bgc_surface_forcing.to_yaml(f\"{target_dir}/roms_frc_bgc.yaml\")" ] }, { @@ -6645,8 +6657,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 19min 46s, sys: 2.27 s, total: 19min 48s\n", - "Wall time: 22.4 s\n" + "CPU times: user 4.46 s, sys: 2.29 s, total: 6.75 s\n", + "Wall time: 10.1 s\n" ] } ], @@ -7052,120 +7064,40 @@ " fill: currentColor;\n", "}\n", "
                      <xarray.Dataset> Size: 337kB\n",
                      -       "Dimensions:     (bry_time: 8, s_rho: 20, xi_rho: 32, xi_u: 31, eta_rho: 32,\n",
                      +       "Dimensions:     (bry_time: 8, s_rho: 20, xi_u: 31, xi_rho: 32, eta_rho: 32,\n",
                              "                 eta_v: 31)\n",
                              "Coordinates:\n",
                              "    abs_time    (bry_time) datetime64[ns] 64B 2012-08-10T12:00:00 ... 2012-08...\n",
                              "  * bry_time    (bry_time) float64 64B 4.606e+03 4.606e+03 ... 4.612e+03\n",
                      -       "Dimensions without coordinates: s_rho, xi_rho, xi_u, eta_rho, eta_v\n",
                      +       "Dimensions without coordinates: s_rho, xi_u, xi_rho, eta_rho, eta_v\n",
                              "Data variables: (12/28)\n",
                      -       "    temp_south  (bry_time, s_rho, xi_rho) float32 20kB 3.113 3.116 ... 11.34\n",
                      -       "    salt_south  (bry_time, s_rho, xi_rho) float32 20kB 34.96 34.95 ... 35.26\n",
                              "    u_south     (bry_time, s_rho, xi_u) float32 20kB 0.02931 0.01553 ... 0.05322\n",
                              "    v_south     (bry_time, s_rho, xi_rho) float32 20kB 0.01259 ... 0.01006\n",
                              "    zeta_south  (bry_time, xi_rho) float32 1kB -0.6053 -0.6007 ... -0.4932\n",
                      +       "    temp_south  (bry_time, s_rho, xi_rho) float32 20kB 3.113 3.116 ... 11.34\n",
                      +       "    salt_south  (bry_time, s_rho, xi_rho) float32 20kB 34.96 34.95 ... 35.26\n",
                              "    ubar_south  (bry_time, xi_u) float32 992B 0.02655 -0.02214 ... 0.06859\n",
                              "    ...          ...\n",
                      -       "    salt_west   (bry_time, s_rho, eta_rho) float32 20kB 34.96 34.96 ... 31.85\n",
                      -       "    u_west      (bry_time, s_rho, eta_rho) float32 20kB 0.02931 ... -0.03375\n",
                              "    v_west      (bry_time, s_rho, eta_v) float32 20kB 0.01259 ... 0.04785\n",
                              "    zeta_west   (bry_time, eta_rho) float32 1kB -0.6053 -0.6581 ... -0.5465\n",
                      +       "    temp_west   (bry_time, s_rho, eta_rho) float32 20kB 3.113 3.174 ... 2.878\n",
                      +       "    salt_west   (bry_time, s_rho, eta_rho) float32 20kB 34.96 34.96 ... 31.85\n",
                              "    ubar_west   (bry_time, eta_rho) float32 1kB 0.02655 -0.03006 ... 0.01929\n",
                              "    vbar_west   (bry_time, eta_v) float32 992B 0.0425 0.03434 ... -0.01109\n",
                              "Attributes:\n",
                              "    title:                 ROMS boundary forcing file created by ROMS-Tools\n",
                      -       "    roms_tools_version:    1.5.0\n",
                      +       "    roms_tools_version:    1.6.0\n",
                              "    start_time:            2012-08-10 12:00:00\n",
                              "    end_time:              2012-08-17 12:00:00\n",
                              "    source:                GLORYS\n",
                              "    model_reference_date:  2000-01-01 00:00:00\n",
                              "    theta_s:               5.0\n",
                              "    theta_b:               2.0\n",
                      -       "    hc:                    300.0
                      • bry_time
                        PandasIndex
                        PandasIndex(Index([4605.5, 4606.5, 4607.5, 4608.5, 4609.5, 4610.5, 4611.5, 4612.5], dtype='float64', name='bry_time'))
                    • title :
                      ROMS boundary forcing file created by ROMS-Tools
                      roms_tools_version :
                      1.6.0
                      start_time :
                      2012-08-10 12:00:00
                      end_time :
                      2012-08-17 12:00:00
                      source :
                      GLORYS
                      model_reference_date :
                      2000-01-01 00:00:00
                      theta_s :
                      5.0
                      theta_b :
                      2.0
                      hc :
                      300.0
                    • " ], "text/plain": [ " Size: 337kB\n", - "Dimensions: (bry_time: 8, s_rho: 20, xi_rho: 32, xi_u: 31, eta_rho: 32,\n", + "Dimensions: (bry_time: 8, s_rho: 20, xi_u: 31, xi_rho: 32, eta_rho: 32,\n", " eta_v: 31)\n", "Coordinates:\n", " abs_time (bry_time) datetime64[ns] 64B 2012-08-10T12:00:00 ... 2012-08...\n", " * bry_time (bry_time) float64 64B 4.606e+03 4.606e+03 ... 4.612e+03\n", - "Dimensions without coordinates: s_rho, xi_rho, xi_u, eta_rho, eta_v\n", + "Dimensions without coordinates: s_rho, xi_u, xi_rho, eta_rho, eta_v\n", "Data variables: (12/28)\n", - " temp_south (bry_time, s_rho, xi_rho) float32 20kB 3.113 3.116 ... 11.34\n", - " salt_south (bry_time, s_rho, xi_rho) float32 20kB 34.96 34.95 ... 35.26\n", " u_south (bry_time, s_rho, xi_u) float32 20kB 0.02931 0.01553 ... 0.05322\n", " v_south (bry_time, s_rho, xi_rho) float32 20kB 0.01259 ... 0.01006\n", " zeta_south (bry_time, xi_rho) float32 1kB -0.6053 -0.6007 ... -0.4932\n", + " temp_south (bry_time, s_rho, xi_rho) float32 20kB 3.113 3.116 ... 11.34\n", + " salt_south (bry_time, s_rho, xi_rho) float32 20kB 34.96 34.95 ... 35.26\n", " ubar_south (bry_time, xi_u) float32 992B 0.02655 -0.02214 ... 0.06859\n", " ... ...\n", - " salt_west (bry_time, s_rho, eta_rho) float32 20kB 34.96 34.96 ... 31.85\n", - " u_west (bry_time, s_rho, eta_rho) float32 20kB 0.02931 ... -0.03375\n", " v_west (bry_time, s_rho, eta_v) float32 20kB 0.01259 ... 0.04785\n", " zeta_west (bry_time, eta_rho) float32 1kB -0.6053 -0.6581 ... -0.5465\n", + " temp_west (bry_time, s_rho, eta_rho) float32 20kB 3.113 3.174 ... 2.878\n", + " salt_west (bry_time, s_rho, eta_rho) float32 20kB 34.96 34.96 ... 31.85\n", " ubar_west (bry_time, eta_rho) float32 1kB 0.02655 -0.03006 ... 0.01929\n", " vbar_west (bry_time, eta_v) float32 992B 0.0425 0.03434 ... -0.01109\n", "Attributes:\n", " title: ROMS boundary forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.5.0\n", + " roms_tools_version: 1.6.0\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: GLORYS\n", @@ -8284,7 +8296,7 @@ { "data": { "text/plain": [ - "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/physical_boundary_forcing_201208.nc')]" + "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/roms_bry_201208.nc')]" ] }, "execution_count": 46, @@ -8293,7 +8305,20 @@ } ], "source": [ - "boundary_forcing.save(f\"{target_dir}/physical_boundary_forcing.nc\")" + "boundary_forcing.save(f\"{target_dir}/roms_bry.nc\")" + ] + }, + { + "cell_type": "markdown", + "id": "16fe2582-865f-4f0f-ab58-e49d3b9f0aee", + "metadata": {}, + "source": [ + "
                      \n", + "\n", + "Note\n", + "\n", + "From the path printed to screen, you can see that `ROMS-Tools` appended `_201208` to the file path that we specified. If we had asked for a time range spanning several months, `ROMS-Tools` would have written several files (ordered by months). \n", + "
                      " ] }, { @@ -8305,7 +8330,7 @@ }, "outputs": [], "source": [ - "boundary_forcing.to_yaml(f\"{target_dir}/physical_boundary_forcing.yaml\")" + "boundary_forcing.to_yaml(f\"{target_dir}/roms_bry.yaml\")" ] }, { @@ -8329,8 +8354,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 11 s, sys: 2.57 s, total: 13.6 s\n", - "Wall time: 18.9 s\n" + "CPU times: user 5.75 s, sys: 3.75 s, total: 9.5 s\n", + "Wall time: 14.9 s\n" ] } ], @@ -8749,7 +8774,7 @@ " zooC_west (bry_time, s_rho, eta_rho) float32 31kB 0.2618 ... 1.026\n", "Attributes:\n", " title: ROMS boundary forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.5.0\n", + " roms_tools_version: 1.6.0\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: CESM_REGRIDDED\n", @@ -8757,13 +8782,13 @@ " theta_s: 5.0\n", " theta_b: 2.0\n", " hc: 300.0\n", - " climatology: True
                    • title :
                      ROMS boundary forcing file created by ROMS-Tools
                      roms_tools_version :
                      1.6.0
                      start_time :
                      2012-08-10 12:00:00
                      end_time :
                      2012-08-17 12:00:00
                      source :
                      CESM_REGRIDDED
                      model_reference_date :
                      2000-01-01 00:00:00
                      theta_s :
                      5.0
                      theta_b :
                      2.0
                      hc :
                      300.0
                      climatology :
                      True
                    • " ], "text/plain": [ " Size: 4MB\n", @@ -13912,7 +13937,7 @@ " zooC_west (bry_time, s_rho, eta_rho) float32 31kB 0.2618 ... 1.026\n", "Attributes:\n", " title: ROMS boundary forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.5.0\n", + " roms_tools_version: 1.6.0\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: CESM_REGRIDDED\n", @@ -13966,7 +13991,7 @@ { "data": { "text/plain": [ - "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/bgc_boundary_forcing_clim.nc')]" + "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/roms_bry_bgc_clim.nc')]" ] }, "execution_count": 51, @@ -13975,7 +14000,22 @@ } ], "source": [ - "bgc_boundary_forcing.save(f\"{target_dir}/bgc_boundary_forcing.nc\")" + "bgc_boundary_forcing.save(f\"{target_dir}/roms_bry_bgc.nc\")" + ] + }, + { + "cell_type": "markdown", + "id": "33381cdd-fe62-4ba1-9690-48303b491b47", + "metadata": {}, + "source": [ + "
                      \n", + "\n", + "Note\n", + "\n", + "From the path printed to screen, you can see that `ROMS-Tools` appended `_clim` to the file path that we specified. This addition occurs because the CESM data provided is classified as a climatology (as indicated by `source={\"name\": \"CESM_REGRIDDED\", \"path\": cesm_interior_path, \"climatology\": True}`). For climatological data, ROMS-Tools retains all 12 monthly time entries and regrids them, ensuring that the resulting data can be utilized in ROMS simulations over any specified time window, provided that the grid remains the same.\n", + " \n", + "
                      \n", + "\n" ] }, { @@ -13987,7 +14027,7 @@ }, "outputs": [], "source": [ - "bgc_boundary_forcing.to_yaml(f\"{target_dir}/bgc_boundary_forcing.yaml\")" + "bgc_boundary_forcing.to_yaml(f\"{target_dir}/roms_bry_bgc.yaml\")" ] }, { From 6d4f67ecc3f3e772510eddda1e1f2eed337b648a Mon Sep 17 00:00:00 2001 From: Dafydd S <102196046+dafyddstephenson@users.noreply.github.com> Date: Wed, 30 Oct 2024 08:16:23 -0600 Subject: [PATCH 24/31] update docs following internal feedback, rename Case.persist -> Case.to_blueprint (#160) * update docs following internal feedback, rename Case.persist -> Case.to_blueprint * update yaml file hashes to reflect 8dfc60467f26199f2063183ea2321a2cd3051d23 --- cstar/case.py | 4 +- .../test_cstar_test_blueprints.py | 2 +- ...ase_and_exporting_it_as_a_blueprint.ipynb} | 4 +- ...and_running_a_case_from_a_blueprint.ipynb} | 233 +++++++++++++++++- docs/3_restarting_and_continuing_a_case.ipynb | 16 +- docs/index.rst | 4 +- .../cstar_blueprint_alpha_example.yaml | 14 +- 7 files changed, 259 insertions(+), 18 deletions(-) rename docs/{1_building_and_exporting_a_case.ipynb => 1_building_a_case_and_exporting_it_as_a_blueprint.ipynb} (99%) rename docs/{2_importing_and_running_a_case.ipynb => 2_importing_and_running_a_case_from_a_blueprint.ipynb} (91%) diff --git a/cstar/case.py b/cstar/case.py index 44b55fb..c34d83d 100644 --- a/cstar/case.py +++ b/cstar/case.py @@ -46,7 +46,7 @@ class Case: ------- from_blueprint(blueprint,caseroot,start_date,end_date) Instantiate a Case from a "blueprint" yaml file - persist(filename) + to_blueprint(filename) Create a "blueprint" yaml file for this Case object setup() Fetch all code and files necessary to run this case in the local caseroot folder @@ -449,7 +449,7 @@ def from_blueprint( return caseinstance - def persist(self, filename: str) -> None: + def to_blueprint(self, filename: str) -> None: """Write this case to a yaml 'blueprint' file. This effectively performs the actions of Case.from_blueprint(), but in reverse, diff --git a/cstar/tests/integration_tests/test_cstar_test_blueprints.py b/cstar/tests/integration_tests/test_cstar_test_blueprints.py index 42c6be9..f99db1b 100644 --- a/cstar/tests/integration_tests/test_cstar_test_blueprints.py +++ b/cstar/tests/integration_tests/test_cstar_test_blueprints.py @@ -75,7 +75,7 @@ def test_cstar( with mock_user_input("y"): cstar_test_case.setup() - cstar_test_case.persist(tmpdir / "test_blueprint_persistence.yaml") + cstar_test_case.to_blueprint(tmpdir / "test_blueprint_persistence.yaml") cstar_test_case.build() cstar_test_case.pre_run() cstar_test_case.run() diff --git a/docs/1_building_and_exporting_a_case.ipynb b/docs/1_building_a_case_and_exporting_it_as_a_blueprint.ipynb similarity index 99% rename from docs/1_building_and_exporting_a_case.ipynb rename to docs/1_building_a_case_and_exporting_it_as_a_blueprint.ipynb index 26556b4..40aff07 100644 --- a/docs/1_building_and_exporting_a_case.ipynb +++ b/docs/1_building_a_case_and_exporting_it_as_a_blueprint.ipynb @@ -5,7 +5,7 @@ "id": "b29d6e47-5fbc-44ea-b5a8-35bbd8a2a596", "metadata": {}, "source": [ - "# Building & exporting a `Case`\n", + "# Building a `Case` and exporting it as a blueprint\n", "In this notebook, we will create a ROMS-MARBL [C-Star case](https://c-star.readthedocs.io/en/latest/terminology.html#term-Case), by:\n", "\n", "* Creating ROMS and MARBL [BaseModel](https://c-star.readthedocs.io/en/latest/terminology.html#term-BaseModel) objects\n", @@ -740,7 +740,7 @@ }, "outputs": [], "source": [ - "roms_marbl_case.persist(\"roms_marbl_example_case.yaml\")" + "roms_marbl_case.to_blueprint(\"roms_marbl_example_case.yaml\")" ] }, { diff --git a/docs/2_importing_and_running_a_case.ipynb b/docs/2_importing_and_running_a_case_from_a_blueprint.ipynb similarity index 91% rename from docs/2_importing_and_running_a_case.ipynb rename to docs/2_importing_and_running_a_case_from_a_blueprint.ipynb index 89847eb..1cc5dfa 100644 --- a/docs/2_importing_and_running_a_case.ipynb +++ b/docs/2_importing_and_running_a_case_from_a_blueprint.ipynb @@ -8,7 +8,7 @@ "# Importing & running a `Case`\n", "In this notebook, we will spin up a ROMS-MARBL run using C-Star. In particular, we will:\n", "\n", - "- Create a [C-Star Case](https://c-star.readthedocs.io/en/latest/terminology.html#term-Case) from a pre-prepared [blueprint](https://c-star.readthedocs.io/en/latest/terminology.html#term-blueprint) (`Case.from_blueprint()`). See [this notebook](https://c-star.readthedocs.io/en/latest/1_building_and_exporting_a_case.html) for instructions on how to assemble a blueprint.\n", + "- Create a [C-Star Case](https://c-star.readthedocs.io/en/latest/terminology.html#term-Case) from a pre-prepared [blueprint](https://c-star.readthedocs.io/en/latest/terminology.html#term-blueprint) (`Case.from_blueprint()`). See [this notebook](https://c-star.readthedocs.io/en/latest/1_building_a_case_and_exporting_it_as_a_blueprint.html) for instructions on how to assemble a blueprint.\n", "- Examine the contents of the Case object we just created\n", "- Set up the case locally (`Case.setup()`)\n", "- Compile any necessary code associated with the case (`Case.build()`)\n", @@ -474,11 +474,226 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "id": "a9280f90-fec9-429b-b28d-da7976fea3da", "metadata": { "tags": [] }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Setting up MARBLComponent\n", + "--------------------------\n", + "Configuring MARBLComponent\n", + "--------------------------\n", + "#######################################################\n", + "C-STAR: MARBL_ROOT not found in current environment. \n", + "if this is your first time running C-Star with an instance of MARBLBaseModel, you will need to set it up.\n", + "It is recommended that you install this base model in \n", + "/global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/externals/MARBL\n", + "This will also modify your `cstar_local_config.py` file.\n", + "#######################################################\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Would you like to do this now? ('y', 'n', or 'custom' to install at a custom path)\n", + " y\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cloned repository https://github.com/marbl-ecosys/MARBL.git to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/externals/MARBL\n", + "Checked out marbl0.45.0 in git repository /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/externals/MARBL\n", + "Updating environment in C-Star configuration file /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/cstar_local_config.py\n", + "Compiling MARBL...\n", + "MARBL successfully installed at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/externals/MARBL\n", + "\n", + "Setting up ROMSComponent\n", + "-------------------------\n", + "Configuring ROMSComponent\n", + "-------------------------\n", + "#######################################################\n", + "C-STAR: ROMS_ROOT not found in current environment. \n", + "if this is your first time running C-Star with an instance of ROMSBaseModel, you will need to set it up.\n", + "It is recommended that you install this base model in \n", + "/global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/externals/ucla-roms\n", + "This will also modify your `cstar_local_config.py` file.\n", + "#######################################################\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Would you like to do this now? ('y', 'n', or 'custom' to install at a custom path)\n", + " y\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cloned repository https://github.com/CESR-lab/ucla-roms.git to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/externals/ucla-roms\n", + "Checked out 594ac425e9dbe663ce48ced0915c0007c6cca843 in git repository /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/externals/ucla-roms\n", + "Compiling UCLA ROMS' NHMG library...\n", + "Compiling Tools-Roms package for UCLA ROMS...\n", + "UCLA-ROMS is installed at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/cstar/externals/ucla-roms\n", + "\n", + "Fetching additional source code...\n", + "----------------------------------\n", + "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpfmnia20c\n", + "Checked out cstar_alpha in git repository /tmp/tmpfmnia20c\n", + "copying bgc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", + "copying bulk_frc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", + "copying cppdefs.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", + "copying diagnostics.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", + "copying ocean_vars.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", + "copying param.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", + "copying tracers.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", + "copying Makefile to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", + "copying Make.depend to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", + "\n", + "Fetching namelists... \n", + "----------------------\n", + "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpl5oi6bb1\n", + "Checked out cstar_alpha in git repository /tmp/tmpl5oi6bb1\n", + "copying roms.in_TEMPLATE to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", + "copying template file /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in_TEMPLATE to editable version /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in\n", + "copying marbl_in to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Downloading file 'roms_grd.yaml' from 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_grd.yaml' to '/global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS'.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "copying marbl_tracer_output_list to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", + "copying marbl_diagnostic_output_list to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", + "\n", + "Fetching input datasets...\n", + "--------------------------\n", + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_grd.yaml...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Downloading file 'roms_ini.yaml' from 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_ini.yaml' to '/global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS'.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Selected time entry closest to the specified start_time (2012-01-01 12:00:00) within the range [2012-01-01 12:00:00, 2012-01-02 12:00:00]: ['2012-01-01T12:00:00.000000000']\n", + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_ini.yaml...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Downloading file 'roms_tides.yaml' from 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_tides.yaml' to '/global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS'.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_tides.yaml...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Downloading file 'roms_bry.yaml' from 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_bry.yaml' to '/global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS'.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry.yaml...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Downloading file 'roms_bry_bgc.yaml' from 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_bry_bgc.yaml' to '/global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS'.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry_bgc.yaml...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Downloading file 'roms_frc.yaml' from 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_frc.yaml' to '/global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS'.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc.yaml...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Downloading file 'roms_frc_bgc.yaml' from 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_frc_bgc.yaml' to '/global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS'.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc_bgc.yaml...\n" + ] + } + ], + "source": [ + "example_case_1.setup()" + ] + }, + { + "cell_type": "markdown", + "id": "22c39c32-edd3-41a8-abfb-c9130790a0f9", + "metadata": {}, + "source": [ + "If we attempt to run `Case.setup()` again, C-Star identifies that nothing has changed from our previous `setup()` call and we can skip this step:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "e6f3d81d-ce69-404d-86b0-f1ac08a7c9e3", + "metadata": { + "tags": [] + }, "outputs": [ { "name": "stdout", @@ -492,6 +707,19 @@ "example_case_1.setup()" ] }, + { + "cell_type": "markdown", + "id": "c61944ce-1fe9-4f5e-92e5-1c95a22a1285", + "metadata": {}, + "source": [ + "
                      \n", + "\n", + "Note\n", + "\n", + "C-Star currently does not maintain the state of Cases between sessions. This means that, if you run `Case.setup()`, exit your python session, start a new one, and create the Case again from the same blueprint, you will have to run `Case.setup()` again to re-establish the working state of the `Case`, even though this `Case` has already been set up. Most setup steps will be skipped the second time, as C-Star will see they are already complete.\n", + "
                      " + ] + }, { "cell_type": "markdown", "id": "ee973fda-d889-48f1-9400-6ebc27f3337e", @@ -767,7 +995,6 @@ "\n", "- created a C-Star `Case` from a \"blueprint\" file\n", "- Ran the case for 2 days from 2012-01-01 to 2012-01-03 with a 60 second time-step\n", - "- Restarted the case from 2012-01-03 and ran for a further 3 days with a 6 minute time-step\n", "- Produced a basic plot to verify the output" ] } diff --git a/docs/3_restarting_and_continuing_a_case.ipynb b/docs/3_restarting_and_continuing_a_case.ipynb index 0562916..6003016 100644 --- a/docs/3_restarting_and_continuing_a_case.ipynb +++ b/docs/3_restarting_and_continuing_a_case.ipynb @@ -8,7 +8,7 @@ "# Restarting & continuing a `Case`\n", "In this notebook we will:\n", "\n", - "- Take the Case we ran for two days (2012-01-01 to 2012-01-03) in the [previous notebook](https://c-star.readthedocs.io/en/latest/2_importing_and_running_a_case.html) and create a new Case that picks up where it ends (`Case.restart()`)\n", + "- Take the Case we ran for two days (2012-01-01 to 2012-01-03) in the [previous notebook](https://c-star.readthedocs.io/en/latest/2_importing_and_running_a_case_from_a_blueprint.html) and create a new Case that picks up where it ends (`Case.restart()`)\n", "- Run this second case with a larger time step for the remainder of the month of January 2012\n", "- Produce a basic plot of the output\n" ] @@ -23,6 +23,20 @@ "To do this, we can use the `Case.restart()` method, which returns a new `Case` whose start date corresponds to the end date of the Case we began with, and whose initial conditions are replaced with a restart file from our previous run." ] }, + { + "cell_type": "markdown", + "id": "5bcbe1d3-030f-4a10-8753-5d714f776ab2", + "metadata": {}, + "source": [ + "
                      \n", + "\n", + "Note\n", + "\n", + "If you are following this interactively, the following cells should be appended to the [previous notebook](https://c-star.readthedocs.io/en/latest/2_importing_and_running_a_case_from_a_blueprint.html) where `example_case_1` is still in the workspace.\n", + "
                      \n", + "\n" + ] + }, { "cell_type": "code", "execution_count": 19, diff --git a/docs/index.rst b/docs/index.rst index 5f6949d..98f63f7 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -29,8 +29,8 @@ A key strength of C-Star lies in its ability to run regional simulations using a :maxdepth: 1 :caption: Examples - Building and exporting a Case <1_building_and_exporting_a_case> - Importing and running a Case <2_importing_and_running_a_case> + Building a Case and exporting it as a blueprint <1_building_a_case_and_exporting_it_as_a_blueprint> + Importing and running a Case from a blueprint <2_importing_and_running_a_case_from_a_blueprint> Restarting and continuing a Case <3_restarting_and_continuing_a_case> Preparing input datasets for a Case with ROMS using roms-tools <4_preparing_roms_input_datasets> diff --git a/examples/alpha_example/cstar_blueprint_alpha_example.yaml b/examples/alpha_example/cstar_blueprint_alpha_example.yaml index 7ca9743..9a63678 100644 --- a/examples/alpha_example/cstar_blueprint_alpha_example.yaml +++ b/examples/alpha_example/cstar_blueprint_alpha_example.yaml @@ -45,20 +45,20 @@ components: - "marbl_diagnostic_output_list" model_grid: location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_grd.yaml' - file_hash: 'f807a71fa424bb5bf481dd6cf5cbcad826a952d3e7842e39516bd21d51a5fab1' + file_hash: '4a8383986adaa8810331d6ad01bc133e5bd6c461e714574ce8c6c9bfad91d77d' initial_conditions: location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_ini.yaml' - file_hash: '9123b7e622ce9c3fb4020817739dae743818c26ac78c84b237769144412ee171' + file_hash: '89814872dc4167107dd3bd3ce1d8bf29c302a23a87b55ffb5c964b57e2d12cb4' tidal_forcing: location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_tides.yaml' - file_hash: '07058b7c52422dd0c400217cddb407977eae07ded3e2a10d61cf357bed1dfef8' + file_hash: 'fe1ef484768fdbdedf9862e4d39acd573dddbbeb24fee3edb3695f70f85e30ea' boundary_forcing: - location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_bry.yaml' - file_hash: 'c9644d93549ed20212b47e5cb6bb760f1810d3282072c6dac7a91fa08efc730c' + file_hash: 'fd05c2891b5bcc5bc9d2bed81743c087c454e565258a5451a8ae9277b5687d39' - location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_bry_bgc.yaml' - file_hash: '9f5587c53299206eaeb06b7eedb3fac99131ab4d8c477cf4836c1b35c15706b6' + file_hash: '15e33b3e5a0b2d31c312e90ff45da099dd42a28e292b1b4cb8cf8f16ff8c27b3' surface_forcing: - location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_frc.yaml' - file_hash: '4c3efd64abd224bdd64800eba38414d4a98bfb425158300d361676403dbf4ddf' + file_hash: '95ec7644524c92b478fee0318344c4943708010e990cc6f642263fc5562708bf' - location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_frc_bgc.yaml' - file_hash: '834a16968abdb890aa37e2e130c267d119f3fac40dc0d2ccca35a52a9223155a' + file_hash: 'abb40f74a1a2f694cab2f514e1aa3fc76a966bd642bd1292cb875d4fa7a5c59f' From d3da025a582a64a999879e38f3b9a9179dbe184a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=80=9CDafydd?= <“dafydd_stephenson@hotmail.com”> Date: Fri, 1 Nov 2024 13:20:48 -0600 Subject: [PATCH 25/31] move Discretization and ROMSDiscretization into separate modules --- cstar/base/__init__.py | 5 ++- cstar/base/component.py | 52 +---------------------- cstar/base/discretization.py | 52 +++++++++++++++++++++++ cstar/roms/__init__.py | 3 +- cstar/roms/component.py | 82 +----------------------------------- cstar/roms/discretization.py | 80 +++++++++++++++++++++++++++++++++++ 6 files changed, 140 insertions(+), 134 deletions(-) create mode 100644 cstar/base/discretization.py create mode 100644 cstar/roms/discretization.py diff --git a/cstar/base/__init__.py b/cstar/base/__init__.py index f2eb02e..822a632 100644 --- a/cstar/base/__init__.py +++ b/cstar/base/__init__.py @@ -1,7 +1,8 @@ -from cstar.base.component import Component, Discretization +from cstar.base.component import Component from cstar.base.base_model import BaseModel -from cstar.base.additional_code import AdditionalCode from cstar.base.input_dataset import InputDataset +from cstar.base.discretization import Discretization +from cstar.base.additional_code import AdditionalCode __all__ = [ "Component", diff --git a/cstar/base/component.py b/cstar/base/component.py index 9579c41..948b781 100644 --- a/cstar/base/component.py +++ b/cstar/base/component.py @@ -5,6 +5,7 @@ if TYPE_CHECKING: from cstar.base.additional_code import AdditionalCode + from cstar.base.discretization import Discretization class Component(ABC): @@ -193,54 +194,3 @@ def post_run(self) -> None: types. """ pass - - -class Discretization(ABC): - """Holds discretization information about a Component. - - Attributes: - ----------- - - time_step: int - The time step with which to run the Component - """ - - def __init__( - self, - time_step: int, - ): - """Initialize a Discretization object from basic discretization parameters. - - Parameters: - ----------- - time_step: int - The time step with which to run the Component - - Returns: - -------- - Discretization: - An initialized Discretization object - """ - - self.time_step: int = time_step - - def __str__(self) -> str: - # Discretisation - disc_str = "" - - if hasattr(self, "time_step") and self.time_step is not None: - disc_str += "\ntime_step: " + str(self.time_step) + "s" - if len(disc_str) > 0: - classname = self.__class__.__name__ - header = classname - disc_str = header + "\n" + "-" * len(classname) + disc_str - - return disc_str - - def __repr__(self) -> str: - repr_str = "" - repr_str = f"{self.__class__.__name__}(" - if hasattr(self, "time_step") and self.time_step is not None: - repr_str += f"time_step = {self.time_step}, " - repr_str += ")" - return repr_str diff --git a/cstar/base/discretization.py b/cstar/base/discretization.py new file mode 100644 index 0000000..99a08b3 --- /dev/null +++ b/cstar/base/discretization.py @@ -0,0 +1,52 @@ +from abc import ABC + + +class Discretization(ABC): + """Holds discretization information about a Component. + + Attributes: + ----------- + + time_step: int + The time step with which to run the Component + """ + + def __init__( + self, + time_step: int, + ): + """Initialize a Discretization object from basic discretization parameters. + + Parameters: + ----------- + time_step: int + The time step with which to run the Component + + Returns: + -------- + Discretization: + An initialized Discretization object + """ + + self.time_step: int = time_step + + def __str__(self) -> str: + # Discretisation + disc_str = "" + + if hasattr(self, "time_step") and self.time_step is not None: + disc_str += "\ntime_step: " + str(self.time_step) + "s" + if len(disc_str) > 0: + classname = self.__class__.__name__ + header = classname + disc_str = header + "\n" + "-" * len(classname) + disc_str + + return disc_str + + def __repr__(self) -> str: + repr_str = "" + repr_str = f"{self.__class__.__name__}(" + if hasattr(self, "time_step") and self.time_step is not None: + repr_str += f"time_step = {self.time_step}, " + repr_str += ")" + return repr_str diff --git a/cstar/roms/__init__.py b/cstar/roms/__init__.py index bd06cae..6f8fefe 100644 --- a/cstar/roms/__init__.py +++ b/cstar/roms/__init__.py @@ -1,5 +1,6 @@ from cstar.roms.base_model import ROMSBaseModel -from cstar.roms.component import ROMSComponent, ROMSDiscretization +from cstar.roms.component import ROMSComponent +from cstar.roms.discretization import ROMSDiscretization from cstar.roms.input_dataset import ( ROMSInputDataset, ROMSModelGrid, diff --git a/cstar/roms/component.py b/cstar/roms/component.py index 1d5d76e..b053afc 100644 --- a/cstar/roms/component.py +++ b/cstar/roms/component.py @@ -8,7 +8,7 @@ from typing import Optional, TYPE_CHECKING, List from cstar.base.utils import _calculate_node_distribution, _replace_text_in_file -from cstar.base.component import Component, Discretization +from cstar.base.component import Component from cstar.roms.base_model import ROMSBaseModel from cstar.roms.input_dataset import ( ROMSInputDataset, @@ -18,6 +18,7 @@ ROMSBoundaryForcing, ROMSTidalForcing, ) +from cstar.roms.discretization import ROMSDiscretization from cstar.base.additional_code import AdditionalCode from cstar.base.environment import ( @@ -1168,82 +1169,3 @@ def restart(self, new_start_date: datetime, restart_dir: str | Path): new_component.initial_conditions = new_ic return new_component - - -class ROMSDiscretization(Discretization): - """An implementation of the Discretization class for ROMS. - - Additional attributes: - ---------------------- - n_procs_x: int - The number of parallel processors over which to subdivide the x axis of the domain. - n_procs_y: int - The number of parallel processors over which to subdivide the y axis of the domain. - - Properties: - ----------- - n_procs_tot: int - The value of n_procs_x * n_procs_y - """ - - def __init__( - self, - time_step: int, - n_procs_x: int = 1, - n_procs_y: int = 1, - ): - """Initialize a ROMSDiscretization object from basic discretization parameters. - - Parameters: - ----------- - time_step: int - The time step with which to run the Component - n_procs_x: int - The number of parallel processors over which to subdivide the x axis of the domain. - n_procs_y: int - The number of parallel processors over which to subdivide the y axis of the domain. - - - Returns: - -------- - ROMSDiscretization: - An initialized ROMSDiscretization object - """ - - super().__init__(time_step) - self.n_procs_x = n_procs_x - self.n_procs_y = n_procs_y - - @property - def n_procs_tot(self) -> int: - """Total number of processors required by this ROMS configuration.""" - return self.n_procs_x * self.n_procs_y - - def __str__(self) -> str: - disc_str = super().__str__() - - if hasattr(self, "n_procs_x") and self.n_procs_x is not None: - disc_str += ( - "\nn_procs_x: " - + str(self.n_procs_x) - + " (Number of x-direction processors)" - ) - if hasattr(self, "n_procs_y") and self.n_procs_y is not None: - disc_str += ( - "\nn_procs_y: " - + str(self.n_procs_y) - + " (Number of y-direction processors)" - ) - return disc_str - - def __repr__(self) -> str: - repr_str = super().__repr__().rstrip(")") - if hasattr(self, "n_procs_x") and self.n_procs_x is not None: - repr_str += f"n_procs_x = {self.n_procs_x}, " - if hasattr(self, "n_procs_y") and self.n_procs_y is not None: - repr_str += f"n_procs_y = {self.n_procs_y}, " - - repr_str = repr_str.strip(", ") - repr_str += ")" - - return repr_str diff --git a/cstar/roms/discretization.py b/cstar/roms/discretization.py new file mode 100644 index 0000000..892159d --- /dev/null +++ b/cstar/roms/discretization.py @@ -0,0 +1,80 @@ +from cstar.base.discretization import Discretization + + +class ROMSDiscretization(Discretization): + """An implementation of the Discretization class for ROMS. + + Additional attributes: + ---------------------- + n_procs_x: int + The number of parallel processors over which to subdivide the x axis of the domain. + n_procs_y: int + The number of parallel processors over which to subdivide the y axis of the domain. + + Properties: + ----------- + n_procs_tot: int + The value of n_procs_x * n_procs_y + """ + + def __init__( + self, + time_step: int, + n_procs_x: int = 1, + n_procs_y: int = 1, + ): + """Initialize a ROMSDiscretization object from basic discretization parameters. + + Parameters: + ----------- + time_step: int + The time step with which to run the Component + n_procs_x: int + The number of parallel processors over which to subdivide the x axis of the domain. + n_procs_y: int + The number of parallel processors over which to subdivide the y axis of the domain. + + + Returns: + -------- + ROMSDiscretization: + An initialized ROMSDiscretization object + """ + + super().__init__(time_step) + self.n_procs_x = n_procs_x + self.n_procs_y = n_procs_y + + @property + def n_procs_tot(self) -> int: + """Total number of processors required by this ROMS configuration.""" + return self.n_procs_x * self.n_procs_y + + def __str__(self) -> str: + disc_str = super().__str__() + + if hasattr(self, "n_procs_x") and self.n_procs_x is not None: + disc_str += ( + "\nn_procs_x: " + + str(self.n_procs_x) + + " (Number of x-direction processors)" + ) + if hasattr(self, "n_procs_y") and self.n_procs_y is not None: + disc_str += ( + "\nn_procs_y: " + + str(self.n_procs_y) + + " (Number of y-direction processors)" + ) + return disc_str + + def __repr__(self) -> str: + repr_str = super().__repr__().rstrip(")") + if hasattr(self, "n_procs_x") and self.n_procs_x is not None: + repr_str += f"n_procs_x = {self.n_procs_x}, " + if hasattr(self, "n_procs_y") and self.n_procs_y is not None: + repr_str += f"n_procs_y = {self.n_procs_y}, " + + repr_str = repr_str.strip(", ") + repr_str += ")" + + return repr_str From 32821a46ebb8049caede5b919f86d57c84454b68 Mon Sep 17 00:00:00 2001 From: Nora Loose Date: Tue, 5 Nov 2024 12:15:45 -0700 Subject: [PATCH 26/31] Fix typos in notebook 4 (#165) * Rerun roms-tools notebook with updated timing * Correct written file names in summary --- docs/4_preparing_roms_input_datasets.ipynb | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/docs/4_preparing_roms_input_datasets.ipynb b/docs/4_preparing_roms_input_datasets.ipynb index 5552758..586228f 100644 --- a/docs/4_preparing_roms_input_datasets.ipynb +++ b/docs/4_preparing_roms_input_datasets.ipynb @@ -14055,11 +14055,11 @@ "\n", "* Grid: `{target_dir}/roms_grd.nc`\n", "* Initial Conditions: `{target_dir}/roms_ini.nc`\n", - "* Tidal Forcing: `{target_dir}/tidal_forcing.nc`\n", - "* Physical Surface Forcing: `{target_dir}/physical_surface_forcing_201208.nc`\n", - "* BGC Surface Forcing: `{target_dir}/bgc_surface_forcing_2012.nc`\n", - "* Physical Boundary Forcing: `{target_dir}/physical_boundary_forcing_201208.nc`\n", - "* BGC Boundary Forcing: `{target_dir}/bgc_boundary_forcing_clim.nc`" + "* Tidal Forcing: `{target_dir}/roms_tides.nc`\n", + "* Physical Surface Forcing: `{target_dir}/roms_frc_201208.nc`\n", + "* BGC Surface Forcing: `{target_dir}/roms_frc_bgc_2012.nc`\n", + "* Physical Boundary Forcing: `{target_dir}/roms_bry_201208.nc`\n", + "* BGC Boundary Forcing: `{target_dir}/roms_bry_bgc_clim.nc`" ] }, { @@ -14071,11 +14071,11 @@ "\n", "* Grid: `{target_dir}/roms_grd.yaml`\n", "* Initial Conditions: `{target_dir}/roms_ini.yaml`\n", - "* Tidal Forcing: `{target_dir}/tidal_forcing.yaml`\n", - "* Physical Surface Forcing: `{target_dir}/physical_surface_forcing.yaml`\n", - "* BGC Surface Forcing: `{target_dir}/bgc_surface_forcing.yaml`\n", - "* Physical Boundary Forcing: `{target_dir}/physical_boundary_forcing.yaml`\n", - "* BGC Boundary Forcing: `{target_dir}/bgc_boundary_forcing.yaml`" + "* Tidal Forcing: `{target_dir}/roms_tides.yaml`\n", + "* Physical Surface Forcing: `{target_dir}/roms_frc.yaml`\n", + "* BGC Surface Forcing: `{target_dir}/rom_frc_bgc.yaml`\n", + "* Physical Boundary Forcing: `{target_dir}/roms_bry.yaml`\n", + "* BGC Boundary Forcing: `{target_dir}/roms_bry_bgc.yaml`" ] }, { From 5fb6e8edfab809ca22ffcc376c5031d7bff03b33 Mon Sep 17 00:00:00 2001 From: Tom Nicholas Date: Fri, 8 Nov 2024 11:25:49 -0700 Subject: [PATCH 27/31] Add Apache 2.0 license (#34) * include GNU license from original repo * change to Apache 2.0 license * mention license in README * change licence text to be specific to CWorthy * add boilerplate license text to readme --- LICENSE | 191 +++++++++++++++++++++++++++++++++++++++++++++++++ README.md | 17 +++++ pyproject.toml | 4 +- 3 files changed, 210 insertions(+), 2 deletions(-) create mode 100644 LICENSE diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..208b74b --- /dev/null +++ b/LICENSE @@ -0,0 +1,191 @@ +Apache License +Version 2.0, January 2004 +http://www.apache.org/licenses/ + +TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + +1. 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However, +in accepting such obligations, You may act only on Your own behalf and on Your +sole responsibility, not on behalf of any other Contributor, and only if You +agree to indemnify, defend, and hold each Contributor harmless for any liability +incurred by, or claims asserted against, such Contributor by reason of your +accepting any such warranty or additional liability. + +END OF TERMS AND CONDITIONS + +APPENDIX: How to apply the Apache License to your work + +To apply the Apache License to your work, attach the following boilerplate +notice, with the fields enclosed by brackets "[]" replaced with your own +identifying information. (Don't include the brackets!) The text should be +enclosed in the appropriate comment syntax for the file format. We also +recommend that a file or class name and description of purpose be included on +the same "printed page" as the copyright notice for easier identification within +third-party archives. + + Copyright 2024 [C]Worthy LLC. + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. \ No newline at end of file diff --git a/README.md b/README.md index e9bf9e4..c97fa68 100644 --- a/README.md +++ b/README.md @@ -52,3 +52,20 @@ If you find a bug, have a feature suggestion, or any other kind of feedback, ple We also accept contributions in the form of Pull Requests. +## License + +C-Star is openly available for use and permissively licenced under Apache 2.0. + + Copyright 2024 [C]Worthy LLC. + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 13079e0..f27d824 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,12 +11,12 @@ authors = [ { name = "Nora Loose", email = "nora@cworthy.org" }, { name = "Matt Long", email = "matt@cworthy.org" } ] -license = { text = "GPL-3.0-only" } +license = { text = "Apache-2.0" } classifiers = [ "Development Status :: 3 - Alpha", "Intended Audience :: Science/Research", - "License :: OSI Approved :: GNU General Public License v3 (GPLv3)", + "License :: OSI Approved :: Apache Software License", "Programming Language :: Python", "Programming Language :: Python :: 3.12", "Topic :: Scientific/Engineering :: Oceanography" From 9c84cfa8b5b9dc0da1b1fc576faf9c35e2c8b3a6 Mon Sep 17 00:00:00 2001 From: Dafydd Date: Fri, 8 Nov 2024 17:41:55 -0800 Subject: [PATCH 28/31] second round of doc updates following internal testing --- ...case_and_exporting_it_as_a_blueprint.ipynb | 8 +- ..._and_running_a_case_from_a_blueprint.ipynb | 82 +++++---- docs/3_restarting_and_continuing_a_case.ipynb | 174 +++++++++--------- .../cstar_blueprint_alpha_example.yaml | 14 +- 4 files changed, 144 insertions(+), 134 deletions(-) diff --git a/docs/1_building_a_case_and_exporting_it_as_a_blueprint.ipynb b/docs/1_building_a_case_and_exporting_it_as_a_blueprint.ipynb index 40aff07..64c1c5e 100644 --- a/docs/1_building_a_case_and_exporting_it_as_a_blueprint.ipynb +++ b/docs/1_building_a_case_and_exporting_it_as_a_blueprint.ipynb @@ -6,7 +6,7 @@ "metadata": {}, "source": [ "# Building a `Case` and exporting it as a blueprint\n", - "In this notebook, we will create a ROMS-MARBL [C-Star case](https://c-star.readthedocs.io/en/latest/terminology.html#term-Case), by:\n", + "In this guide, we will create a ROMS-MARBL [C-Star case](https://c-star.readthedocs.io/en/latest/terminology.html#term-Case), by:\n", "\n", "* Creating ROMS and MARBL [BaseModel](https://c-star.readthedocs.io/en/latest/terminology.html#term-BaseModel) objects\n", "* Creating [AdditionalCode](https://c-star.readthedocs.io/en/latest/terminology.html#term-AdditionalCode) objects to represent namelist and additional source code files for ROMS\n", @@ -16,7 +16,7 @@ "* Create a `Case` consisting of these two [Components](https://c-star.readthedocs.io/en/latest/terminology.html#term-Component)\n", "* Export this `Case` to a [blueprint file](https://c-star.readthedocs.io/en/latest/terminology.html#term-blueprint)\n", "\n", - "In the [the next notebook](https://c-star.readthedocs.io/en/latest/2_importing_and_running_a_case.html) we will look at how to _run_ a `Case` starting from a blueprint" + "On the [the next page](https://c-star.readthedocs.io/en/latest/2_importing_and_running_a_case.html) we will look at how to _run_ a `Case` starting from a blueprint" ] }, { @@ -379,7 +379,7 @@ "\n", "1. The `location` attribute can either be a **local path** or a **URL**. If it is set to a URL, the `file_hash` (a 256 bit checksum) must also be provided to verify the download.\n", " \n", - "2. The file described by location can be either **netCDF** or **yaml** format. When C-Star sees a yaml file instead of a netCDF file for ROMS input data, it assumes the file contains a set of instructions to be passed to the `roms-tools` [package](https://roms-tools.readthedocs.io/en/latest/), which will then generate the netCDF file for us when `InputDataset.get()` is called. This makes it easier to share and save ROMS configurations without the overhead associated with potentially large netCDF files. More information on creating ROMS input datasets (both yaml and netCDF) for C-Star using `roms-tools` can be found in [this notebook](https://c-star.readthedocs.io/en/latest/4_preparing_roms_input_datasets.html).\n", + "2. The file described by location can be either **netCDF** or **yaml** format. When C-Star sees a yaml file instead of a netCDF file for ROMS input data, it assumes the file contains a set of instructions to be passed to the `roms-tools` [package](https://roms-tools.readthedocs.io/en/latest/), which will then generate the netCDF file for us when `InputDataset.get()` is called. This makes it easier to share and save ROMS configurations without the overhead associated with potentially large netCDF files. More information on creating ROMS input datasets (both yaml and netCDF) for C-Star using `roms-tools` can be found on [this page](https://c-star.readthedocs.io/en/latest/4_preparing_roms_input_datasets.html).\n", "\n", "" ] @@ -728,7 +728,7 @@ "source": [ "## Saving the Case to a blueprint file\n", "We can save all the information associated with this case to a YAML file using `Case.persist(filename)`.\n", - "In the [next notebook](https://c-star.readthedocs.io/en/latest/2_importing_and_running_a_case.html) we will import and run a `Case` using a blueprint." + "On the [next page](https://c-star.readthedocs.io/en/latest/2_importing_and_running_a_case.html) we will import and run a `Case` using a blueprint." ] }, { diff --git a/docs/2_importing_and_running_a_case_from_a_blueprint.ipynb b/docs/2_importing_and_running_a_case_from_a_blueprint.ipynb index 1cc5dfa..fe37ce0 100644 --- a/docs/2_importing_and_running_a_case_from_a_blueprint.ipynb +++ b/docs/2_importing_and_running_a_case_from_a_blueprint.ipynb @@ -6,9 +6,9 @@ "metadata": {}, "source": [ "# Importing & running a `Case`\n", - "In this notebook, we will spin up a ROMS-MARBL run using C-Star. In particular, we will:\n", + "On this page, we will spin up a ROMS-MARBL run using C-Star. In particular, we will:\n", "\n", - "- Create a [C-Star Case](https://c-star.readthedocs.io/en/latest/terminology.html#term-Case) from a pre-prepared [blueprint](https://c-star.readthedocs.io/en/latest/terminology.html#term-blueprint) (`Case.from_blueprint()`). See [this notebook](https://c-star.readthedocs.io/en/latest/1_building_a_case_and_exporting_it_as_a_blueprint.html) for instructions on how to assemble a blueprint.\n", + "- Create a [C-Star Case](https://c-star.readthedocs.io/en/latest/terminology.html#term-Case) from a pre-prepared [blueprint](https://c-star.readthedocs.io/en/latest/terminology.html#term-blueprint) (`Case.from_blueprint()`). See [this page](https://c-star.readthedocs.io/en/latest/1_building_a_case_and_exporting_it_as_a_blueprint.html) for instructions on how to assemble a blueprint.\n", "- Examine the contents of the Case object we just created\n", "- Set up the case locally (`Case.setup()`)\n", "- Compile any necessary code associated with the case (`Case.build()`)\n", @@ -324,7 +324,7 @@ "ROMSInitialConditions\n", "---------------------\n", "Source location: https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_ini.yaml\n", - "file_hash: 9123b7e622ce9c3fb4020817739dae743818c26ac78c84b237769144412ee171\n", + "file_hash: 2e01f5997e3aa79ba012c814684d6ae373dfef21f45cefc96bd0ffa37ae7d0c9\n", "Working path: None ( does not yet exist. Call InputDataset.get() )\n" ] } @@ -549,8 +549,8 @@ "\n", "Fetching additional source code...\n", "----------------------------------\n", - "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpfmnia20c\n", - "Checked out cstar_alpha in git repository /tmp/tmpfmnia20c\n", + "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmppdnfd1l9\n", + "Checked out cstar_alpha in git repository /tmp/tmppdnfd1l9\n", "copying bgc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", "copying bulk_frc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", "copying cppdefs.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", @@ -562,12 +562,7 @@ "copying Make.depend to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", "\n", "Fetching namelists... \n", - "----------------------\n", - "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpl5oi6bb1\n", - "Checked out cstar_alpha in git repository /tmp/tmpl5oi6bb1\n", - "copying roms.in_TEMPLATE to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", - "copying template file /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in_TEMPLATE to editable version /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in\n", - "copying marbl_in to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n" + "----------------------\n" ] }, { @@ -581,6 +576,11 @@ "name": "stdout", "output_type": "stream", "text": [ + "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmps6lv0jyo\n", + "Checked out cstar_alpha in git repository /tmp/tmps6lv0jyo\n", + "copying roms.in_TEMPLATE to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", + "copying template file /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in_TEMPLATE to editable version /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in\n", + "copying marbl_in to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", "copying marbl_tracer_output_list to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", "copying marbl_diagnostic_output_list to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", "\n", @@ -593,15 +593,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "Downloading file 'roms_ini.yaml' from 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_ini.yaml' to '/global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS'.\n" + "Downloading file 'roms_ini.yaml' from 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_ini.yaml' to '/global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS'.\n", + "INFO - Selected time entry closest to the specified start_time (2012-01-01 12:00:00) within the range [2012-01-01 12:00:00, 2012-01-02 12:00:00]: ['2012-01-01T12:00:00.000000000']\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Selected time entry closest to the specified start_time (2012-01-01 12:00:00) within the range [2012-01-01 12:00:00, 2012-01-02 12:00:00]: ['2012-01-01T12:00:00.000000000']\n", - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_ini.yaml...\n" + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_ini.yaml...\n", + "[########################################] | 100% Completed | 7.20 ss\n" ] }, { @@ -615,7 +616,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_tides.yaml...\n" + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_tides.yaml...\n", + "[########################################] | 100% Completed | 3.13 sms\n" ] }, { @@ -629,7 +631,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry.yaml...\n" + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry.yaml...\n", + "[########################################] | 100% Completed | 2.72 sms\n" ] }, { @@ -643,7 +646,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry_bgc.yaml...\n" + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry_bgc.yaml...\n", + "[########################################] | 100% Completed | 37.21 s\n" ] }, { @@ -657,7 +661,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc.yaml...\n" + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc.yaml...\n", + "[########################################] | 100% Completed | 2.77 sms\n" ] }, { @@ -671,7 +676,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc_bgc.yaml...\n" + "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc_bgc.yaml...\n", + "[########################################] | 100% Completed | 505.38 ms\n" ] } ], @@ -731,7 +737,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "id": "50d7a445-378d-4ecb-9322-d0e181eeec90", "metadata": { "tags": [] @@ -760,7 +766,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "id": "5283a931-a32c-4b3c-8934-f2f5a4097809", "metadata": { "tags": [] @@ -780,10 +786,10 @@ "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_grd.nc into (3,3)\n", "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_ini.nc into (3,3)\n", "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_tides.nc into (3,3)\n", - "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry_201201.nc into (3,3)\n", - "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry_bgc_clim.nc into (3,3)\n", - "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc_201201.nc into (3,3)\n", - "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc_bgc_2012.nc into (3,3)\n" + "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry.nc into (3,3)\n", + "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry_bgc.nc into (3,3)\n", + "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc.nc into (3,3)\n", + "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc_bgc.nc into (3,3)\n" ] } ], @@ -802,7 +808,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "id": "31d9f08e-481d-415f-9605-1c46164c5e49", "metadata": { "tags": [] @@ -815,7 +821,7 @@ "\n", "Running ROMS: \n", "------------\n", - "Submitted batch job 32158908\n" + "Submitted batch job 32710636\n" ] } ], @@ -850,7 +856,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "id": "8039fa7a-7eb6-4ec6-a42f-c05f67eea6b9", "metadata": { "tags": [] @@ -861,8 +867,8 @@ "output_type": "stream", "text": [ " JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)\n", - " 32158908 shared_mi my_case_ dafydd PD 0:00 1 (Priority)\n", - " 32158654 urgent_mi jupyter dafydd R 7:42 1 nid004290\n" + " 32710636 shared_mi my_case_ dafydd PD 0:00 1 (Priority)\n", + " 32704625 urgent_mi jupyter dafydd R 3:05:29 1 nid004396\n" ] } ], @@ -898,13 +904,13 @@ "\n", "Completing post-processing steps for ROMSComponent\n", "---------------------------------------------------\n", - "Joining netCDF files ROMS_MARBL_his.20120102120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_bgc_dia.20120101120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120103120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120103120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120102120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_bgc.20120101120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120101120000.*.nc...\n" + "Joining netCDF files ROMS_MARBL_his.20120101120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120102120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_bgc_dia.20120101120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120102120000.*.nc...\n" ] } ], @@ -920,9 +926,9 @@ "## A quick look at the output\n", "\n", "In the above post-processing step, we can see that the ROMS run produced several \"restart\" files (`ROMS_MARBL_rst.*`) that can be used by ROMS to restart the run.\n", - "In the [next notebook](https://c-star.readthedocs.io/en/latest/3_restarting_and_continuing_a_case.html), we will use C-Star to restart and continue our Case, and C-Star will find and use these files to do so.\n", + "On the [next page](https://c-star.readthedocs.io/en/latest/3_restarting_and_continuing_a_case.html), we will use C-Star to restart and continue our Case, and C-Star will find and use these files to do so.\n", "\n", - "For now, let's produce a plot comparing the initial condition we started with with the final restart file (which will serve as the initial condition for our next notebook).\n", + "For now, let's produce a plot comparing the initial condition we started with with the final restart file (which will serve as the initial condition on the [next page](https://c-star.readthedocs.io/en/latest/3_restarting_and_continuing_a_case.html)).\n", "\n", "C-Star doesn't currently support plots of model data, so we will have to manually produce these using the model files. Don't worry too much about understanding the model's naming conventions in this code cell (C-Star will usually take care of these things for you) - this is just a visual demonstration!" ] @@ -937,7 +943,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
                      " ] @@ -991,7 +997,7 @@ "source": [ "## Summary\n", "\n", - "In this notebook we:\n", + "On this page we:\n", "\n", "- created a C-Star `Case` from a \"blueprint\" file\n", "- Ran the case for 2 days from 2012-01-01 to 2012-01-03 with a 60 second time-step\n", diff --git a/docs/3_restarting_and_continuing_a_case.ipynb b/docs/3_restarting_and_continuing_a_case.ipynb index 6003016..6ccf71b 100644 --- a/docs/3_restarting_and_continuing_a_case.ipynb +++ b/docs/3_restarting_and_continuing_a_case.ipynb @@ -2,30 +2,30 @@ "cells": [ { "cell_type": "markdown", - "id": "44362773-e97f-4a64-ab36-bfd71ef3f6ca", + "id": "86073654-f79e-43a6-8d11-788e7a555a21", "metadata": {}, "source": [ "# Restarting & continuing a `Case`\n", "In this notebook we will:\n", "\n", - "- Take the Case we ran for two days (2012-01-01 to 2012-01-03) in the [previous notebook](https://c-star.readthedocs.io/en/latest/2_importing_and_running_a_case_from_a_blueprint.html) and create a new Case that picks up where it ends (`Case.restart()`)\n", + "- Take the Case we ran for two days (2012-01-01 to 2012-01-03) on the [previous page](https://c-star.readthedocs.io/en/latest/2_importing_and_running_a_case_from_a_blueprint.html) and create a new Case that picks up where it ends (`Case.restart()`)\n", "- Run this second case with a larger time step for the remainder of the month of January 2012\n", "- Produce a basic plot of the output\n" ] }, { "cell_type": "markdown", - "id": "60d02998-e3dd-4042-94aa-343a78759704", + "id": "83d12ac5-4bdd-4cad-93b8-14b2d2433951", "metadata": {}, "source": [ "## Restarting our Case\n", - "In the previous notebook, we began this run from a set of prescribed initial conditions and ran it for two days with a short time step of 60 seconds. We should now be able to restart the model with a slightly larger time step.\n", + "On the [previous page](https://c-star.readthedocs.io/en/latest/2_importing_and_running_a_case_from_a_blueprint.html), we began this run from a set of prescribed initial conditions and ran it for two days with a short time step of 60 seconds. We should now be able to restart the model with a slightly larger time step.\n", "To do this, we can use the `Case.restart()` method, which returns a new `Case` whose start date corresponds to the end date of the Case we began with, and whose initial conditions are replaced with a restart file from our previous run." ] }, { "cell_type": "markdown", - "id": "5bcbe1d3-030f-4a10-8753-5d714f776ab2", + "id": "90a4d5e8-e6f6-4d37-9c7e-4abf06710784", "metadata": {}, "source": [ "
                      \n", @@ -40,7 +40,7 @@ { "cell_type": "code", "execution_count": 19, - "id": "80eb1d5d-c9b1-4ae6-8fd3-0bc87f46fbbc", + "id": "b9a9fb3f-3d01-4a62-8695-6e154b1e6199", "metadata": { "tags": [] }, @@ -51,7 +51,7 @@ }, { "cell_type": "markdown", - "id": "cc90564f-00fd-4e11-a637-13a0bee5b209", + "id": "85dfbf7e-40a1-430b-9c49-9957d6531fab", "metadata": {}, "source": [ "Taking a look at the ROMS component, We can see that the initial conditions have been changed:" @@ -60,7 +60,7 @@ { "cell_type": "code", "execution_count": 20, - "id": "459f23e0-def9-4106-aa80-8de242788c55", + "id": "2d0e34db-987e-4be2-8a93-8424130dad41", "metadata": { "tags": [] }, @@ -85,7 +85,7 @@ }, { "cell_type": "markdown", - "id": "bb3f52eb-0779-471d-9c81-97e5c0c7fa0d", + "id": "c64dc7ee-556c-437e-86c0-3c1792232a00", "metadata": {}, "source": [ "## Increasing the time step" @@ -93,7 +93,7 @@ }, { "cell_type": "markdown", - "id": "56018856-a6ba-4674-80a2-cffe42ce08a6", + "id": "9f8d8e61-8cf0-440a-b08e-dc5da2e43dab", "metadata": {}, "source": [ "If we want to increase the time step for our second run, we will have to manually change the `time_step` entry under `ROMSComponent.discretization`:" @@ -102,7 +102,7 @@ { "cell_type": "code", "execution_count": 21, - "id": "3ec74aa8-ecfa-4d0d-a101-8db885f10508", + "id": "dece0ac8-e194-4080-b662-ad5a0b98d322", "metadata": { "tags": [] }, @@ -136,7 +136,7 @@ { "cell_type": "code", "execution_count": 22, - "id": "8c4b5e97-052e-4e41-98f8-f763cce01f00", + "id": "02989430-4ca3-43a3-b6cb-2e65956e0085", "metadata": { "tags": [] }, @@ -147,7 +147,7 @@ }, { "cell_type": "markdown", - "id": "8fbc2732-98e2-4f3a-b69c-ceaa7e5d1574", + "id": "d7b16531-c694-4d79-b645-ec23832d9c93", "metadata": {}, "source": [ "We can now take a look at our `Case` and see everything is as expected:" @@ -156,7 +156,7 @@ { "cell_type": "code", "execution_count": 23, - "id": "1f4777eb-506e-44d2-8f85-24fbabd2c429", + "id": "1c740d0d-b06e-4f2c-986b-b3eb6885fc81", "metadata": { "tags": [] }, @@ -201,7 +201,7 @@ }, { "cell_type": "markdown", - "id": "b2e89e05-bdec-4e2e-a511-1af377c63b1b", + "id": "de89e008-ccb4-4be8-a30a-6ba1b6d5d87d", "metadata": {}, "source": [ "Now we run through the other steps as normal:" @@ -210,7 +210,7 @@ { "cell_type": "code", "execution_count": 24, - "id": "d766ac93-7f6d-4eef-ae20-373edb9e7872", + "id": "a19b54b4-69f0-4b31-9853-ff61f8d8b30e", "metadata": { "tags": [] }, @@ -234,8 +234,8 @@ "\n", "Fetching additional source code...\n", "----------------------------------\n", - "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpyjm2sjv9\n", - "Checked out cstar_alpha in git repository /tmp/tmpyjm2sjv9\n", + "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmp7rv1e3m5\n", + "Checked out cstar_alpha in git repository /tmp/tmp7rv1e3m5\n", "copying bgc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", "copying bulk_frc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", "copying cppdefs.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", @@ -248,8 +248,8 @@ "\n", "Fetching namelists... \n", "----------------------\n", - "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpdn62wgi_\n", - "Checked out cstar_alpha in git repository /tmp/tmpdn62wgi_\n", + "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpuape6kxn\n", + "Checked out cstar_alpha in git repository /tmp/tmpuape6kxn\n", "copying roms.in_TEMPLATE to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", "copying template file /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in_TEMPLATE to editable version /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in\n", "copying marbl_in to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", @@ -260,17 +260,21 @@ "--------------------------\n", "A file by the name of roms_grd.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_grd.yaml...\n", - "A file by the name of ROMS_MARBL_rst.20120103120000.nc already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", "A file by the name of roms_tides.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_tides.yaml...\n", + "[########################################] | 100% Completed | 4.86 sms\n", "A file by the name of roms_bry.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry.yaml...\n", + "[########################################] | 100% Completed | 20.75 s\n", "A file by the name of roms_bry_bgc.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry_bgc.yaml...\n", + "[########################################] | 100% Completed | 41.87 s\n", "A file by the name of roms_frc.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc.yaml...\n", + "[########################################] | 100% Completed | 41.28 s\n", "A file by the name of roms_frc_bgc.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc_bgc.yaml...\n", + "[########################################] | 100% Completed | 606.58 ms\n", "\n", "Compiling MARBLComponent\n", "-------------------------\n", @@ -290,10 +294,10 @@ "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_grd.nc into (3,3)\n", "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/ROMS_MARBL_rst.20120103120000.nc into (3,3)\n", "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_tides.nc into (3,3)\n", - "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry_201201.nc into (3,3)\n", - "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry_bgc_clim.nc into (3,3)\n", - "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc_201201.nc into (3,3)\n", - "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc_bgc_2012.nc into (3,3)\n" + "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry.nc into (3,3)\n", + "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry_bgc.nc into (3,3)\n", + "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc.nc into (3,3)\n", + "Partitioning /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc_bgc.nc into (3,3)\n" ] } ], @@ -306,7 +310,7 @@ { "cell_type": "code", "execution_count": 25, - "id": "9d4a2e60-3df4-4c13-a083-dc125a9e8567", + "id": "dd64885f-96e8-4240-8ae9-f789c723a9c0", "metadata": { "tags": [] }, @@ -318,7 +322,7 @@ "\n", "Running ROMS: \n", "------------\n", - "Submitted batch job 32159562\n" + "Submitted batch job 32712372\n" ] } ], @@ -329,7 +333,7 @@ { "cell_type": "code", "execution_count": 26, - "id": "1c9411d2-b6ad-4e46-aeac-0a58f2434a40", + "id": "f57c90dc-6088-4e1a-9517-dbc62bc3092e", "metadata": { "tags": [] }, @@ -339,8 +343,8 @@ "output_type": "stream", "text": [ " JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)\n", - " 32159562 shared_mi my_case_ dafydd PD 0:00 1 (Priority)\n", - " 32158654 urgent_mi jupyter dafydd R 31:14 1 nid004290\n" + " 32712372 shared_mi my_case_ dafydd PD 0:00 1 (Priority)\n", + " 32704625 urgent_mi jupyter dafydd R 4:05:09 1 nid004396\n" ] } ], @@ -351,7 +355,7 @@ }, { "cell_type": "markdown", - "id": "53e597b4-01b5-4cdb-815d-6586a10ad094", + "id": "0cec8224-3e82-4d50-8db6-5fd76cb26897", "metadata": {}, "source": [ "Once again, we have to wait for the job to finish before proceeding..." @@ -360,7 +364,7 @@ { "cell_type": "code", "execution_count": 27, - "id": "d3a0b9d6-9457-4c71-a17f-b726dd4430a0", + "id": "15ce5e0e-7c8a-4220-93d7-1a2d5348d94b", "metadata": { "tags": [] }, @@ -372,65 +376,65 @@ "\n", "Completing post-processing steps for ROMSComponent\n", "---------------------------------------------------\n", - "Joining netCDF files ROMS_MARBL_bgc.20120103120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120126120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120122120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120128120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120106120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120124120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120106120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120107120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120103120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120105120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120117120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120111120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120130120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120112120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120125120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120104120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120114120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120109120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120117120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120111120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120112120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120124120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120127120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120119120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120110120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120116120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120104120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120120120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120119120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120114120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120113120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120115120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120126120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120105120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120106120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120129120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120112120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120131120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120131120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120122120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120121120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120104120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120107120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120108120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120118120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120123120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120123120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120121120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120120120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120113120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120118120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120121120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120116120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120127120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_bgc_dia.20120103120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120130120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120127120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120125120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120108120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120115120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120128120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120117120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120126120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120130120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120119120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120114120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120107120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120110120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120109120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120129120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120127120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120129120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120123120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120118120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120118120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120105120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120110120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120110120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120120120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120125120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120131120000.*.nc...\n" + "Joining netCDF files ROMS_MARBL_bgc.20120103120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120128120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120115120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120109120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120124120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120105120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120115120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120116120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120108120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120104120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120106120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120119120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120111120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_bgc_dia.20120103120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120117120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120121120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120122120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120111120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120109120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120128120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120130120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120122120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120126120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120114120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120124120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120113120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120113120000.*.nc...\n" ] } ], @@ -440,7 +444,7 @@ }, { "cell_type": "markdown", - "id": "80de7cdb-f703-40c2-8c7e-ecbff1c4c58b", + "id": "b2a271ee-83b9-4d4c-bd51-48303886ea1e", "metadata": {}, "source": [ "## Some basic analysis of the output\n", @@ -452,14 +456,14 @@ { "cell_type": "code", "execution_count": 28, - "id": "597b6abd-307e-418b-a98f-533fd040ecc9", + "id": "3fbd8a6e-6e3d-4aa1-b77e-c8a22d4074a0", "metadata": { "tags": [] }, "outputs": [ { "data": { - "image/png": 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", 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                      " ] @@ -478,7 +482,7 @@ "bgc_ds = xr.open_dataset(example_case_2.caseroot / 'output/ROMS_MARBL_bgc.20120103120000.nc') # this contains 6-hourly data, with the date in the filename reflecting the first time entry\n", "grd_ds = xr.open_dataset(example_case_2.caseroot / 'input_datasets/ROMS/roms_grd.nc')\n", "lon,lat=grd_ds.lon_rho,grd_ds.lat_rho\n", - "output_time=[dt.datetime(2000,1,1)+dt.timedelta(seconds=t) for t in BGC_DS.ocean_time.values]\n", + "output_time=[dt.datetime(2000,1,1)+dt.timedelta(seconds=t) for t in bgc_ds.ocean_time.values]\n", "\n", "var = 'DOC'\n", "i_idx = 10\n", diff --git a/examples/alpha_example/cstar_blueprint_alpha_example.yaml b/examples/alpha_example/cstar_blueprint_alpha_example.yaml index 9a63678..6f0d186 100644 --- a/examples/alpha_example/cstar_blueprint_alpha_example.yaml +++ b/examples/alpha_example/cstar_blueprint_alpha_example.yaml @@ -45,20 +45,20 @@ components: - "marbl_diagnostic_output_list" model_grid: location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_grd.yaml' - file_hash: '4a8383986adaa8810331d6ad01bc133e5bd6c461e714574ce8c6c9bfad91d77d' + file_hash: '6663b167d118496f6800098285e82767752f17dbcf4ec3d1d0e7b7f943ef308f' initial_conditions: location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_ini.yaml' - file_hash: '89814872dc4167107dd3bd3ce1d8bf29c302a23a87b55ffb5c964b57e2d12cb4' + file_hash: '2e01f5997e3aa79ba012c814684d6ae373dfef21f45cefc96bd0ffa37ae7d0c9' tidal_forcing: location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_tides.yaml' - file_hash: 'fe1ef484768fdbdedf9862e4d39acd573dddbbeb24fee3edb3695f70f85e30ea' + file_hash: '17580432b557bc4b54048f561bf5d6edea57ec21c107135914bed4e1fed8a100' boundary_forcing: - location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_bry.yaml' - file_hash: 'fd05c2891b5bcc5bc9d2bed81743c087c454e565258a5451a8ae9277b5687d39' + file_hash: '9099d7649f32873dc1770df0f2a6aa76c22f2df7daf820d0c00d5e64bba3ad75' - location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_bry_bgc.yaml' - file_hash: '15e33b3e5a0b2d31c312e90ff45da099dd42a28e292b1b4cb8cf8f16ff8c27b3' + file_hash: '910b5aa948a85279ad3d8dfb3fb565ee9d897be0a472407366929b15a9dd29a9' surface_forcing: - location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_frc.yaml' - file_hash: '95ec7644524c92b478fee0318344c4943708010e990cc6f642263fc5562708bf' + file_hash: '8817ec14af2ef3582176180f88c5e1a718a371ecc4d697ccdfcc332f4df927c7' - location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_frc_bgc.yaml' - file_hash: 'abb40f74a1a2f694cab2f514e1aa3fc76a966bd642bd1292cb875d4fa7a5c59f' + file_hash: 'd8cf71989de60bad3c8e5f21ba443cea392c9508a429ca3675f306130f09599a' From 07ed84d5ea95ed3eefcccc2bac429673aacc1b01 Mon Sep 17 00:00:00 2001 From: Nora Loose Date: Tue, 12 Nov 2024 09:45:37 -0700 Subject: [PATCH 29/31] Notebook 4 with roms-tools v1.6.2 (#166) * Rerun roms-tools notebook with updated timing * Rerun notebook4 with roms-tools v1.6.1 * Rerun notebook with roms-tools version 1.6.2 * Use pathlib --- docs/4_preparing_roms_input_datasets.ipynb | 2862 ++++++++++---------- 1 file changed, 1413 insertions(+), 1449 deletions(-) diff --git a/docs/4_preparing_roms_input_datasets.ipynb b/docs/4_preparing_roms_input_datasets.ipynb index 586228f..7f03cd4 100644 --- a/docs/4_preparing_roms_input_datasets.ipynb +++ b/docs/4_preparing_roms_input_datasets.ipynb @@ -51,6 +51,19 @@ { "cell_type": "code", "execution_count": 2, + "id": "7f5632a4-eee6-453c-ad31-e93ec194f9ac", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import os\n", + "from pathlib import Path" + ] + }, + { + "cell_type": "code", + "execution_count": 3, "id": "ec70787f-7249-4908-8aac-25595309777d", "metadata": { "tags": [] @@ -59,23 +72,22 @@ { "data": { "text/plain": [ - "'/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA'" + "PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA')" ] }, - "execution_count": 2, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "import os\n", - "target_dir = os.path.join(os.getenv('PSCRATCH'), 'ROMS_TOOLS_INPUT_DATA')\n", + "target_dir = Path(os.getenv(\"PSCRATCH\")) / \"ROMS_TOOLS_INPUT_DATA\"\n", "target_dir" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "c4335582-4809-48f5-b7e6-1bfe82d6fb95", "metadata": { "tags": [] @@ -83,7 +95,7 @@ "outputs": [], "source": [ "# Create the directory if it doesn't exist\n", - "os.makedirs(target_dir, exist_ok=True)" + "target_dir.mkdir(exist_ok=True)" ] }, { @@ -96,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "id": "379dbc3a-2f88-4524-83c0-bd672c27e049", "metadata": { "tags": [] @@ -116,7 +128,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "id": "f66a0566-f8a5-49ea-876c-6126f1e5c3f9", "metadata": { "tags": [] @@ -136,7 +148,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "id": "93596aca-7ee2-4757-8383-bc09267eec6e", "metadata": { "tags": [] @@ -146,8 +158,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 1.31 s, sys: 66.6 ms, total: 1.38 s\n", - "Wall time: 2.35 s\n" + "CPU times: user 1.33 s, sys: 77.9 ms, total: 1.41 s\n", + "Wall time: 3.21 s\n" ] } ], @@ -176,7 +188,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "id": "9d3ad4a7-b383-490b-b38b-6824464f599b", "metadata": { "tags": [] @@ -207,7 +219,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "id": "1971b5b0-9e46-40af-a013-53119c13662d", "metadata": { "tags": [] @@ -246,7 +258,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "id": "1e66d283-b4ca-40a9-bcaf-e6c6a676cbc8", "metadata": { "tags": [] @@ -659,7 +671,7 @@ " Cs_w (s_w) float32 84B -1.0 -0.9114 ... -0.0009921 0.0\n", "Attributes:\n", " title: ROMS grid created by ROMS-Tools\n", - " roms_tools_version: 1.6.0\n", + " roms_tools_version: 1.6.2\n", " size_x: 800\n", " size_y: 800\n", " center_lon: -18\n", @@ -669,7 +681,7 @@ " hmin: 5.0\n", " theta_s: 5.0\n", " theta_b: 2.0\n", - " hc: 300.0
                      • title :
                        ROMS grid created by ROMS-Tools
                        roms_tools_version :
                        1.6.2
                        size_x :
                        800
                        size_y :
                        800
                        center_lon :
                        -18
                        center_lat :
                        65
                        rot :
                        20
                        topography_source :
                        ETOPO5
                        hmin :
                        5.0
                        theta_s :
                        5.0
                        theta_b :
                        2.0
                        hc :
                        300.0
                      • " ], "text/plain": [ " Size: 603kB\n", @@ -1423,7 +1435,7 @@ " Cs_w (s_w) float32 84B -1.0 -0.9114 ... -0.0009921 0.0\n", "Attributes:\n", " title: ROMS grid created by ROMS-Tools\n", - " roms_tools_version: 1.6.0\n", + " roms_tools_version: 1.6.2\n", " size_x: 800\n", " size_y: 800\n", " center_lon: -18\n", @@ -1436,7 +1448,7 @@ " hc: 300.0" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -1455,8 +1467,8 @@ }, { "cell_type": "code", - "execution_count": 10, - "id": "ed7ee216-55df-4b6c-9c04-4e24223092cf", + "execution_count": 11, + "id": "cee59642-7ada-46e0-8b53-4d36bb451dc1", "metadata": { "tags": [] }, @@ -1467,13 +1479,13 @@ "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/roms_grd.nc')]" ] }, - "execution_count": 10, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "grid.save(f\"{target_dir}/roms_grd.nc\")" + "grid.save(target_dir / \"roms_grd.nc\")" ] }, { @@ -1486,14 +1498,14 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "id": "10905992-f199-4910-83d8-14abb83ccad2", "metadata": { "tags": [] }, "outputs": [], "source": [ - "yaml_filepath = f\"{target_dir}/roms_grd.yaml\"\n", + "yaml_filepath = target_dir / \"roms_grd.yaml\"\n", "grid.to_yaml(yaml_filepath)" ] }, @@ -1507,7 +1519,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "id": "9874d666-716d-497f-ada6-8d810a4f14e4", "metadata": { "tags": [] @@ -1518,22 +1530,22 @@ "output_type": "stream", "text": [ "---\n", - "roms_tools_version: 1.6.0\n", + "roms_tools_version: 1.6.2\n", "---\n", "Grid:\n", - " N: 20\n", - " center_lat: 65\n", - " center_lon: -18\n", - " hc: 300.0\n", - " hmin: 5.0\n", " nx: 30\n", " ny: 30\n", - " rot: 20\n", " size_x: 800\n", " size_y: 800\n", - " theta_b: 2.0\n", + " center_lon: -18\n", + " center_lat: 65\n", + " rot: 20\n", + " N: 20\n", " theta_s: 5.0\n", + " theta_b: 2.0\n", + " hc: 300.0\n", " topography_source: ETOPO5\n", + " hmin: 5.0\n", "\n" ] } @@ -1565,7 +1577,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "id": "95a52ef7-5b0f-4dc6-8792-8881a88a3712", "metadata": { "tags": [] @@ -1588,7 +1600,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "id": "2ac1641a-ba75-467a-9660-aa728055ee4e", "metadata": { "tags": [] @@ -1609,19 +1621,25 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "id": "eec0ae43-4118-40c2-95a8-baeb8c02c24b", "metadata": { "tags": [] }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO - Selected time entry closest to the specified start_time (2012-08-10 12:00:00) within the range [2012-08-10 12:00:00, 2012-08-11 12:00:00]: ['2012-08-10T12:00:00.000000000']\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "Selected time entry closest to the specified start_time (2012-08-10 12:00:00) within the range [2012-08-10 12:00:00, 2012-08-11 12:00:00]: ['2012-08-10T12:00:00.000000000']\n", - "CPU times: user 3min 6s, sys: 1.85 s, total: 3min 8s\n", - "Wall time: 13.1 s\n" + "CPU times: user 3min 5s, sys: 1.89 s, total: 3min 7s\n", + "Wall time: 15.9 s\n" ] } ], @@ -1660,7 +1678,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "id": "dd2c77b4-5df6-4c0f-b2f0-09e3784e6f79", "metadata": { "tags": [] @@ -2061,14 +2079,14 @@ " Cs_w (s_w) float32 84B -1.0 -0.9114 -0.809 ... -0.0009921 0.0\n", "Attributes:\n", " title: ROMS initial conditions file created by ROMS-Tools\n", - " roms_tools_version: 1.6.0\n", + " roms_tools_version: 1.6.2\n", " ini_time: 2012-08-10 12:00:00\n", " model_reference_date: 2000-01-01 00:00:00\n", " source: GLORYS\n", " bgc_source: CESM_REGRIDDED\n", " theta_s: 5.0\n", " theta_b: 2.0\n", - " hc: 300.0
                        • ocean_time
                          PandasIndex
                          PandasIndex(Index([397915200.0], dtype='float64', name='ocean_time'))
                      • title :
                        ROMS initial conditions file created by ROMS-Tools
                        roms_tools_version :
                        1.6.2
                        ini_time :
                        2012-08-10 12:00:00
                        model_reference_date :
                        2000-01-01 00:00:00
                        source :
                        GLORYS
                        bgc_source :
                        CESM_REGRIDDED
                        theta_s :
                        5.0
                        theta_b :
                        2.0
                        hc :
                        300.0
                      • " ], "text/plain": [ " Size: 3MB\n", @@ -3676,7 +3694,7 @@ " Cs_w (s_w) float32 84B -1.0 -0.9114 -0.809 ... -0.0009921 0.0\n", "Attributes:\n", " title: ROMS initial conditions file created by ROMS-Tools\n", - " roms_tools_version: 1.6.0\n", + " roms_tools_version: 1.6.2\n", " ini_time: 2012-08-10 12:00:00\n", " model_reference_date: 2000-01-01 00:00:00\n", " source: GLORYS\n", @@ -3686,7 +3704,7 @@ " hc: 300.0" ] }, - "execution_count": 16, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -3705,7 +3723,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "id": "7bc1a3da-5a6b-4804-9ed8-420d233942f9", "metadata": { "tags": [] @@ -3736,7 +3754,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "id": "c3d63169-4844-4b3f-a723-246a543873a0", "metadata": { "tags": [] @@ -3767,7 +3785,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "id": "1b5ab4d3-ed89-4aa3-9708-21c761e7ca1b", "metadata": { "tags": [] @@ -3779,25 +3797,25 @@ "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/roms_ini.nc')]" ] }, - "execution_count": 19, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "initial_conditions.save(f\"{target_dir}/roms_ini.nc\")" + "initial_conditions.save(target_dir / \"roms_ini.nc\")" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "id": "21ca2a07-2758-4913-8768-30ddd6150a24", "metadata": { "tags": [] }, "outputs": [], "source": [ - "initial_conditions.to_yaml(f\"{target_dir}/roms_ini.yaml\")" + "initial_conditions.to_yaml(target_dir / \"roms_ini.yaml\")" ] }, { @@ -3820,7 +3838,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "id": "1bd7a676-2b95-477f-aed5-2062364ae556", "metadata": { "tags": [] @@ -3842,14 +3860,14 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "id": "52ec4528-3523-4286-8a50-2fc71640191f", "metadata": { "tags": [] }, "outputs": [], "source": [ - "tpxo_path = \"/global/cfs/projectdirs/m4746/Datasets/TPXO/tpxo9.v2a.nc\"" + "tpxo_path = Path(\"/global/cfs/projectdirs/m4746/Datasets/TPXO/tpxo9.v2a.nc\")" ] }, { @@ -3862,7 +3880,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "id": "cf2064b4-2d43-412b-86fb-1039a6f996b3", "metadata": { "tags": [] @@ -3872,8 +3890,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 46.4 s, sys: 1.01 s, total: 47.5 s\n", - "Wall time: 8.84 s\n" + "CPU times: user 45.4 s, sys: 919 ms, total: 46.4 s\n", + "Wall time: 8.23 s\n" ] } ], @@ -3898,7 +3916,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "id": "8a52b0b3-6ef2-414f-a2df-243aa9df3a3f", "metadata": { "tags": [] @@ -4292,12 +4310,12 @@ " v_Im (ntides, eta_v, xi_rho) float32 40kB -0.007885 ... -0.0001538\n", "Attributes:\n", " title: ROMS tidal forcing created by ROMS-Tools\n", - " roms_tools_version: 1.6.0\n", + " roms_tools_version: 1.6.2\n", " source: TPXO\n", " model_reference_date: 2000-01-01 00:00:00\n", - " allan_factor: 2.0
                        • title :
                          ROMS tidal forcing created by ROMS-Tools
                          roms_tools_version :
                          1.6.2
                          source :
                          TPXO
                          model_reference_date :
                          2000-01-01 00:00:00
                          allan_factor :
                          2.0
                        • " ], "text/plain": [ " Size: 323kB\n", @@ -4636,13 +4654,13 @@ " v_Im (ntides, eta_v, xi_rho) float32 40kB -0.007885 ... -0.0001538\n", "Attributes:\n", " title: ROMS tidal forcing created by ROMS-Tools\n", - " roms_tools_version: 1.6.0\n", + " roms_tools_version: 1.6.2\n", " source: TPXO\n", " model_reference_date: 2000-01-01 00:00:00\n", " allan_factor: 2.0" ] }, - "execution_count": 24, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -4661,7 +4679,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 26, "id": "da89929f-238a-4611-b18a-8e5843a43b3c", "metadata": { "tags": [] @@ -4692,7 +4710,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "id": "643c11a3-f09d-4466-b2e1-b4a871f0d97b", "metadata": { "tags": [] @@ -4704,13 +4722,13 @@ "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/roms_tides.nc')]" ] }, - "execution_count": 26, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "tidal_forcing.save(f\"{target_dir}/roms_tides.nc\")" + "tidal_forcing.save(target_dir / \"roms_tides.nc\")" ] }, { @@ -4723,7 +4741,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "id": "81c9d8ae-8c0d-4012-be87-21646863ebc6", "metadata": { "scrolled": true, @@ -4731,7 +4749,7 @@ }, "outputs": [], "source": [ - "tidal_forcing.to_yaml(f\"{target_dir}/roms_tides.yaml\")" + "tidal_forcing.to_yaml(target_dir / \"roms_tides.yaml\")" ] }, { @@ -4753,7 +4771,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 29, "id": "bf75918d-0c69-4c23-92ae-56c1b896472b", "metadata": { "tags": [] @@ -4796,14 +4814,14 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 30, "id": "82355a50-af40-4604-8af9-9e8731141fc4", "metadata": { "tags": [] }, "outputs": [], "source": [ - "era5_path = \"/global/cfs/projectdirs/m4746/Datasets/ERA5/NA/2012/ERA5_2012-08.nc\"" + "era5_path = Path(\"/global/cfs/projectdirs/m4746/Datasets/ERA5/NA/2012/ERA5_2012-08.nc\")" ] }, { @@ -4818,7 +4836,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 31, "id": "0d2920eb-d8e2-4b5e-be10-2562a819dffe", "metadata": { "tags": [] @@ -4828,8 +4846,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 5min 8s, sys: 444 ms, total: 5min 9s\n", - "Wall time: 7.89 s\n" + "CPU times: user 5min 10s, sys: 464 ms, total: 5min 10s\n", + "Wall time: 9.62 s\n" ] } ], @@ -4856,7 +4874,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 32, "id": "2e201642-37d0-46d7-900a-5e57b988bfa0", "metadata": { "tags": [] @@ -5250,14 +5268,14 @@ " vwnd (time, eta_rho, xi_rho) float32 692kB 8.239 8.16 ... 1.51 1.503\n", "Attributes:\n", " title: ROMS surface forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.6.0\n", + " roms_tools_version: 1.6.2\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: ERA5\n", " correct_radiation: True\n", " use_coarse_grid: False\n", " model_reference_date: 2000-01-01 00:00:00\n", - " type: physics
                        • title :
                          ROMS surface forcing file created by ROMS-Tools
                          roms_tools_version :
                          1.6.2
                          start_time :
                          2012-08-10 12:00:00
                          end_time :
                          2012-08-17 12:00:00
                          source :
                          ERA5
                          correct_radiation :
                          True
                          use_coarse_grid :
                          False
                          model_reference_date :
                          2000-01-01 00:00:00
                          type :
                          physics
                        • " ], "text/plain": [ " Size: 5MB\n", @@ -5682,7 +5700,7 @@ " vwnd (time, eta_rho, xi_rho) float32 692kB 8.239 8.16 ... 1.51 1.503\n", "Attributes:\n", " title: ROMS surface forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.6.0\n", + " roms_tools_version: 1.6.2\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: ERA5\n", @@ -5692,7 +5710,7 @@ " type: physics" ] }, - "execution_count": 31, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -5721,7 +5739,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 33, "id": "4523d0f1-fd13-410d-ac70-2e278f9e97e9", "metadata": { "tags": [] @@ -5752,7 +5770,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 34, "id": "5c8d839c-9d90-424a-a16d-1a7e41c2d70c", "metadata": { "tags": [] @@ -5761,41 +5779,28 @@ { "data": { "text/plain": [ - "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/roms_frc_201208.nc')]" + "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/roms_frc.nc')]" ] }, - "execution_count": 33, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "surface_forcing.save(f\"{target_dir}/roms_frc.nc\")" - ] - }, - { - "cell_type": "markdown", - "id": "69f52d8c-b2bf-49d6-b174-ca524a498fcf", - "metadata": {}, - "source": [ - "
                          \n", - "\n", - "Note\n", - "\n", - "From the path printed to screen, you can see that `ROMS-Tools` appended `_201208` to the file path that we specified. If we had asked for a time range spanning several months, `ROMS-Tools` would have written several files (ordered by months). \n", - "
                          " + "surface_forcing.save(target_dir / \"roms_frc.nc\")" ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 35, "id": "c38c4d4f-7528-4423-ba1f-2d7649210cac", "metadata": { "tags": [] }, "outputs": [], "source": [ - "surface_forcing.to_yaml(f\"{target_dir}/roms_frc.yaml\")" + "surface_forcing.to_yaml(target_dir / \"roms_frc.yaml\")" ] }, { @@ -5809,19 +5814,19 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 36, "id": "a9b2c87d-4ca9-4db1-9373-5f65143cdc13", "metadata": { "tags": [] }, "outputs": [], "source": [ - "cesm_surface_path = \"/global/cfs/projectdirs/m4746/Datasets/CESM_REGRIDDED/CESM-surface_lowres_regridded.nc\"" + "cesm_surface_path = Path(\"/global/cfs/projectdirs/m4746/Datasets/CESM_REGRIDDED/CESM-surface_lowres_regridded.nc\")" ] }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 37, "id": "8a729e51-392c-4d1b-82ec-17c9e3c78a6c", "metadata": { "tags": [] @@ -5831,8 +5836,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 108 ms, sys: 8.07 ms, total: 116 ms\n", - "Wall time: 395 ms\n" + "CPU times: user 114 ms, sys: 4.05 ms, total: 118 ms\n", + "Wall time: 396 ms\n" ] } ], @@ -5851,7 +5856,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 38, "id": "648ce0ec-a158-4140-a27a-39526c47212e", "metadata": { "tags": [] @@ -6248,15 +6253,15 @@ " nhy (time, eta_rho, xi_rho) float32 8kB 1.186e-12 ... 4.717e-13\n", "Attributes:\n", " title: ROMS surface forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.6.0\n", + " roms_tools_version: 1.6.2\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: CESM_REGRIDDED\n", " correct_radiation: False\n", " use_coarse_grid: False\n", " model_reference_date: 2000-01-01 00:00:00\n", - " type: bgc
                          • title :
                            ROMS surface forcing file created by ROMS-Tools
                            roms_tools_version :
                            1.6.2
                            start_time :
                            2012-08-10 12:00:00
                            end_time :
                            2012-08-17 12:00:00
                            source :
                            CESM_REGRIDDED
                            correct_radiation :
                            False
                            use_coarse_grid :
                            False
                            model_reference_date :
                            2000-01-01 00:00:00
                            type :
                            bgc
                          • " ], "text/plain": [ " Size: 49kB\n", @@ -6434,7 +6439,7 @@ " nhy (time, eta_rho, xi_rho) float32 8kB 1.186e-12 ... 4.717e-13\n", "Attributes:\n", " title: ROMS surface forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.6.0\n", + " roms_tools_version: 1.6.2\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: CESM_REGRIDDED\n", @@ -6444,7 +6449,7 @@ " type: bgc" ] }, - "execution_count": 37, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -6465,7 +6470,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 39, "id": "3636e22c-fbfb-4ff7-b8ae-f97b24a9f021", "metadata": { "tags": [] @@ -6496,7 +6501,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 40, "id": "507ce151-7469-4e3c-97ce-2e34bdf00c1b", "metadata": { "tags": [] @@ -6505,43 +6510,28 @@ { "data": { "text/plain": [ - "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/roms_frc_bgc_2012.nc')]" + "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/roms_frc_bgc.nc')]" ] }, - "execution_count": 39, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "bgc_surface_forcing.save(f\"{target_dir}/roms_frc_bgc.nc\")" - ] - }, - { - "cell_type": "markdown", - "id": "2f6fd6e1-e86a-4ee5-bb30-80d9ac60562d", - "metadata": {}, - "source": [ - "
                            \n", - "\n", - "Note\n", - "\n", - "From the path printed to screen, you can see that `ROMS-Tools` appended `_2012` to the file path that we specified. Since the provided BGC has monthly frequency (as opposed to the hourly ERA5 data), `ROMS-Tools` ordered the processed data by years (as opposed to months).\n", - "\n", - "
                            \n", - "\n" + "bgc_surface_forcing.save(target_dir /\"roms_frc_bgc.nc\")" ] }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 41, "id": "89bfa09f-875e-4cbb-956f-95e4bd238db8", "metadata": { "tags": [] }, "outputs": [], "source": [ - "bgc_surface_forcing.to_yaml(f\"{target_dir}/roms_frc_bgc.yaml\")" + "bgc_surface_forcing.to_yaml(target_dir / \"roms_frc_bgc.yaml\")" ] }, { @@ -6563,7 +6553,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 42, "id": "4f0bc3c5-9a5f-484b-a421-4159d4ecfb52", "metadata": { "tags": [] @@ -6616,7 +6606,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 43, "id": "97a368ac-645e-485e-8586-71c071a3a8ac", "metadata": { "tags": [] @@ -6624,16 +6614,16 @@ "outputs": [], "source": [ "glorys_path = [\n", - " \"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120809.nc\", # include data from day before start time, just to be save\n", - " \"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120810.nc\",\n", - " \"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120811.nc\",\n", - " \"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120812.nc\",\n", - " \"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120813.nc\",\n", - " \"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120814.nc\",\n", - " \"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120815.nc\",\n", - " \"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120816.nc\",\n", - " \"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120817.nc\",\n", - " \"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120818.nc\" # include data from day after end time, just to be save\n", + " Path(\"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120809.nc\"), # include data from day before start time\n", + " Path(\"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120810.nc\"),\n", + " Path(\"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120811.nc\"),\n", + " Path(\"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120812.nc\"),\n", + " Path(\"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120813.nc\"),\n", + " Path(\"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120814.nc\"),\n", + " Path(\"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120815.nc\"),\n", + " Path(\"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120816.nc\"),\n", + " Path(\"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120817.nc\"),\n", + " Path(\"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/mercatorglorys12v1_gl12_mean_20120818.nc\") # include data from day after end time\n", "]" ] }, @@ -6642,12 +6632,12 @@ "id": "41aeb57b-3770-4a78-99e9-8c9ed6a6e1b8", "metadata": {}, "source": [ - "Note that we could have also specified the data location via a wildcard, e.g., `path='/glade/derecho/scratch/bachman/GLORYS/NA/2012/*.nc'`. But with this latter choice, `ROMS-Tools` can operate quite a bit slower (especially if you experiment with `use_dask = True`). More specific filenames are better!" + "Note that we could have also specified the data location via a wildcard, e.g., `glorys_path = \"/global/cfs/projectdirs/m4746/Datasets/GLORYS/NA/2012/*.nc\"`. But with this latter choice, `ROMS-Tools` can operate quite a bit slower (especially if you experiment with `use_dask = True`). More specific filenames are better!" ] }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 44, "id": "23b04a5c-cb48-4b8b-a374-da88bdeeba36", "metadata": { "tags": [] @@ -6657,8 +6647,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 4.46 s, sys: 2.29 s, total: 6.75 s\n", - "Wall time: 10.1 s\n" + "CPU times: user 18min 15s, sys: 2.63 s, total: 18min 18s\n", + "Wall time: 19.2 s\n" ] } ], @@ -6671,6 +6661,7 @@ " end_time=end_time,\n", " source={\"name\": \"GLORYS\", \"path\": glorys_path},\n", " type=\"physics\", # \"physics\" or \"bgc\"; default is \"physics\"\n", + " apply_2d_horizontal_fill=True,\n", " use_dask=False\n", ")" ] @@ -6685,7 +6676,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 45, "id": "54b988bb-ba49-4a12-a199-1f5ce24ac347", "metadata": { "tags": [] @@ -7086,18 +7077,18 @@ " vbar_west (bry_time, eta_v) float32 992B 0.0425 0.03434 ... -0.01109\n", "Attributes:\n", " title: ROMS boundary forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.6.0\n", + " roms_tools_version: 1.6.2\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: GLORYS\n", " model_reference_date: 2000-01-01 00:00:00\n", " theta_s: 5.0\n", " theta_b: 2.0\n", - " hc: 300.0
                            • bry_time
                              PandasIndex
                              PandasIndex(Index([4605.5, 4606.5, 4607.5, 4608.5, 4609.5, 4610.5, 4611.5, 4612.5], dtype='float64', name='bry_time'))
                          • title :
                            ROMS boundary forcing file created by ROMS-Tools
                            roms_tools_version :
                            1.6.2
                            start_time :
                            2012-08-10 12:00:00
                            end_time :
                            2012-08-17 12:00:00
                            source :
                            GLORYS
                            model_reference_date :
                            2000-01-01 00:00:00
                            theta_s :
                            5.0
                            theta_b :
                            2.0
                            hc :
                            300.0
                          • " ], "text/plain": [ " Size: 337kB\n", @@ -8243,7 +8234,7 @@ " vbar_west (bry_time, eta_v) float32 992B 0.0425 0.03434 ... -0.01109\n", "Attributes:\n", " title: ROMS boundary forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.6.0\n", + " roms_tools_version: 1.6.2\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: GLORYS\n", @@ -8253,7 +8244,7 @@ " hc: 300.0" ] }, - "execution_count": 44, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -8264,7 +8255,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 46, "id": "4e220538-0cec-4ddd-98f1-4e12bf9796d6", "metadata": { "tags": [] @@ -8287,7 +8278,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 47, "id": "1b0f66e1-9468-4fdc-b416-f329b66d2393", "metadata": { "tags": [] @@ -8296,41 +8287,28 @@ { "data": { "text/plain": [ - "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/roms_bry_201208.nc')]" + "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/roms_bry.nc')]" ] }, - "execution_count": 46, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "boundary_forcing.save(f\"{target_dir}/roms_bry.nc\")" - ] - }, - { - "cell_type": "markdown", - "id": "16fe2582-865f-4f0f-ab58-e49d3b9f0aee", - "metadata": {}, - "source": [ - "
                            \n", - "\n", - "Note\n", - "\n", - "From the path printed to screen, you can see that `ROMS-Tools` appended `_201208` to the file path that we specified. If we had asked for a time range spanning several months, `ROMS-Tools` would have written several files (ordered by months). \n", - "
                            " + "boundary_forcing.save(target_dir / \"roms_bry.nc\")" ] }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 48, "id": "27cf1a06-6cbe-440a-a6df-5f0d2445622a", "metadata": { "tags": [] }, "outputs": [], "source": [ - "boundary_forcing.to_yaml(f\"{target_dir}/roms_bry.yaml\")" + "boundary_forcing.to_yaml(target_dir / \"roms_bry.yaml\")" ] }, { @@ -8344,7 +8322,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 49, "id": "e5989c47-fd88-40f4-a409-d61fbebd2827", "metadata": { "tags": [] @@ -8354,8 +8332,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 5.75 s, sys: 3.75 s, total: 9.5 s\n", - "Wall time: 14.9 s\n" + "CPU times: user 28.3 s, sys: 3.83 s, total: 32.1 s\n", + "Wall time: 42.2 s\n" ] } ], @@ -8368,13 +8346,14 @@ " end_time=end_time,\n", " source={\"name\": \"CESM_REGRIDDED\", \"path\": cesm_interior_path, \"climatology\": True},\n", " type=\"bgc\",\n", + " apply_2d_horizontal_fill=True,\n", " use_dask=False,\n", ")" ] }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 50, "id": "3dce2681-65ce-4ba5-8fa2-43f52eb8bc3c", "metadata": { "tags": [] @@ -8774,7 +8753,7 @@ " zooC_west (bry_time, s_rho, eta_rho) float32 31kB 0.2618 ... 1.026\n", "Attributes:\n", " title: ROMS boundary forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.6.0\n", + " roms_tools_version: 1.6.2\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: CESM_REGRIDDED\n", @@ -8782,13 +8761,13 @@ " theta_s: 5.0\n", " theta_b: 2.0\n", " hc: 300.0\n", - " climatology: True
                          • title :
                            ROMS boundary forcing file created by ROMS-Tools
                            roms_tools_version :
                            1.6.2
                            start_time :
                            2012-08-10 12:00:00
                            end_time :
                            2012-08-17 12:00:00
                            source :
                            CESM_REGRIDDED
                            model_reference_date :
                            2000-01-01 00:00:00
                            theta_s :
                            5.0
                            theta_b :
                            2.0
                            hc :
                            300.0
                            climatology :
                            True
                          • " ], "text/plain": [ " Size: 4MB\n", @@ -13937,7 +13916,7 @@ " zooC_west (bry_time, s_rho, eta_rho) float32 31kB 0.2618 ... 1.026\n", "Attributes:\n", " title: ROMS boundary forcing file created by ROMS-Tools\n", - " roms_tools_version: 1.6.0\n", + " roms_tools_version: 1.6.2\n", " start_time: 2012-08-10 12:00:00\n", " end_time: 2012-08-17 12:00:00\n", " source: CESM_REGRIDDED\n", @@ -13948,7 +13927,7 @@ " climatology: True" ] }, - "execution_count": 49, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -13959,7 +13938,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 51, "id": "f9cde529-9e79-48c5-b321-5d65d2bc42da", "metadata": { "tags": [] @@ -13982,7 +13961,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 52, "id": "6b940bcc-c841-4033-8af5-f9c078e03d5c", "metadata": { "tags": [] @@ -13991,43 +13970,28 @@ { "data": { "text/plain": [ - "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/roms_bry_bgc_clim.nc')]" + "[PosixPath('/pscratch/sd/n/nloose/ROMS_TOOLS_INPUT_DATA/roms_bry_bgc.nc')]" ] }, - "execution_count": 51, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "bgc_boundary_forcing.save(f\"{target_dir}/roms_bry_bgc.nc\")" - ] - }, - { - "cell_type": "markdown", - "id": "33381cdd-fe62-4ba1-9690-48303b491b47", - "metadata": {}, - "source": [ - "
                            \n", - "\n", - "Note\n", - "\n", - "From the path printed to screen, you can see that `ROMS-Tools` appended `_clim` to the file path that we specified. This addition occurs because the CESM data provided is classified as a climatology (as indicated by `source={\"name\": \"CESM_REGRIDDED\", \"path\": cesm_interior_path, \"climatology\": True}`). For climatological data, ROMS-Tools retains all 12 monthly time entries and regrids them, ensuring that the resulting data can be utilized in ROMS simulations over any specified time window, provided that the grid remains the same.\n", - " \n", - "
                            \n", - "\n" + "bgc_boundary_forcing.save(target_dir / \"roms_bry_bgc.nc\")" ] }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 53, "id": "4c4831f0-de39-45b5-a7c8-5940e89a5d84", "metadata": { "tags": [] }, "outputs": [], "source": [ - "bgc_boundary_forcing.to_yaml(f\"{target_dir}/roms_bry_bgc.yaml\")" + "bgc_boundary_forcing.to_yaml(target_dir / \"roms_bry_bgc.yaml\")" ] }, { @@ -14051,15 +14015,15 @@ "id": "04afa9ac-e928-40c4-a800-84d3317bfeaf", "metadata": {}, "source": [ - "We created the following NetCDF files (filenames were returned by the `save()` method):\n", + "We created the following NetCDF files:\n", "\n", - "* Grid: `{target_dir}/roms_grd.nc`\n", - "* Initial Conditions: `{target_dir}/roms_ini.nc`\n", - "* Tidal Forcing: `{target_dir}/roms_tides.nc`\n", - "* Physical Surface Forcing: `{target_dir}/roms_frc_201208.nc`\n", - "* BGC Surface Forcing: `{target_dir}/roms_frc_bgc_2012.nc`\n", - "* Physical Boundary Forcing: `{target_dir}/roms_bry_201208.nc`\n", - "* BGC Boundary Forcing: `{target_dir}/roms_bry_bgc_clim.nc`" + "* Grid: `target_dir/roms_grd.nc`\n", + "* Initial Conditions: `target_dir/roms_ini.nc`\n", + "* Tidal Forcing: `target_dir/roms_tides.nc`\n", + "* Physical Surface Forcing: `target_dir/roms_frc.nc`\n", + "* BGC Surface Forcing: `target_dir/roms_frc_bgc.nc`\n", + "* Physical Boundary Forcing: `target_dir/roms_bry.nc`\n", + "* BGC Boundary Forcing: `target_dir/roms_bry_bgc.nc`" ] }, { @@ -14069,13 +14033,13 @@ "source": [ "We also created the following YAML files that can be used to re-create the exact same `ROMS-Tools` objects and NetCDF files:\n", "\n", - "* Grid: `{target_dir}/roms_grd.yaml`\n", - "* Initial Conditions: `{target_dir}/roms_ini.yaml`\n", - "* Tidal Forcing: `{target_dir}/roms_tides.yaml`\n", - "* Physical Surface Forcing: `{target_dir}/roms_frc.yaml`\n", - "* BGC Surface Forcing: `{target_dir}/rom_frc_bgc.yaml`\n", - "* Physical Boundary Forcing: `{target_dir}/roms_bry.yaml`\n", - "* BGC Boundary Forcing: `{target_dir}/roms_bry_bgc.yaml`" + "* Grid: `target_dir/roms_grd.yaml`\n", + "* Initial Conditions: `target_dir/roms_ini.yaml`\n", + "* Tidal Forcing: `target_dir/roms_tides.yaml`\n", + "* Physical Surface Forcing: `target_dir/roms_frc.yaml`\n", + "* BGC Surface Forcing: `target_dir/rom_frc_bgc.yaml`\n", + "* Physical Boundary Forcing: `target_dir/roms_bry.yaml`\n", + "* BGC Boundary Forcing: `target_dir/roms_bry_bgc.yaml`" ] }, { From fb845f408ff7e2e6224110012c50101f5b34c19c Mon Sep 17 00:00:00 2001 From: Dafydd Date: Tue, 12 Nov 2024 13:35:41 -0800 Subject: [PATCH 30/31] revert to including inactive eastern boundary --- ..._and_running_a_case_from_a_blueprint.ipynb | 34 ++-- docs/3_restarting_and_continuing_a_case.ipynb | 166 +++++++++--------- .../cstar_blueprint_alpha_example.yaml | 4 +- 3 files changed, 102 insertions(+), 102 deletions(-) diff --git a/docs/2_importing_and_running_a_case_from_a_blueprint.ipynb b/docs/2_importing_and_running_a_case_from_a_blueprint.ipynb index fe37ce0..a0be432 100644 --- a/docs/2_importing_and_running_a_case_from_a_blueprint.ipynb +++ b/docs/2_importing_and_running_a_case_from_a_blueprint.ipynb @@ -549,8 +549,8 @@ "\n", "Fetching additional source code...\n", "----------------------------------\n", - "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmppdnfd1l9\n", - "Checked out cstar_alpha in git repository /tmp/tmppdnfd1l9\n", + "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpovvnkic6\n", + "Checked out cstar_alpha in git repository /tmp/tmpovvnkic6\n", "copying bgc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", "copying bulk_frc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", "copying cppdefs.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", @@ -562,7 +562,9 @@ "copying Make.depend to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", "\n", "Fetching namelists... \n", - "----------------------\n" + "----------------------\n", + "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmp1l5tyiuz\n", + "Checked out cstar_alpha in git repository /tmp/tmp1l5tyiuz\n" ] }, { @@ -576,8 +578,6 @@ "name": "stdout", "output_type": "stream", "text": [ - "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmps6lv0jyo\n", - "Checked out cstar_alpha in git repository /tmp/tmps6lv0jyo\n", "copying roms.in_TEMPLATE to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", "copying template file /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in_TEMPLATE to editable version /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in\n", "copying marbl_in to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", @@ -602,7 +602,7 @@ "output_type": "stream", "text": [ "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_ini.yaml...\n", - "[########################################] | 100% Completed | 7.20 ss\n" + "[########################################] | 100% Completed | 7.17 sms\n" ] }, { @@ -632,7 +632,7 @@ "output_type": "stream", "text": [ "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry.yaml...\n", - "[########################################] | 100% Completed | 2.72 sms\n" + "[########################################] | 100% Completed | 2.61 sms\n" ] }, { @@ -647,7 +647,7 @@ "output_type": "stream", "text": [ "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry_bgc.yaml...\n", - "[########################################] | 100% Completed | 37.21 s\n" + "[########################################] | 100% Completed | 38.89 s\n" ] }, { @@ -662,7 +662,7 @@ "output_type": "stream", "text": [ "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc.yaml...\n", - "[########################################] | 100% Completed | 2.77 sms\n" + "[########################################] | 100% Completed | 3.06 sms\n" ] }, { @@ -677,7 +677,7 @@ "output_type": "stream", "text": [ "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc_bgc.yaml...\n", - "[########################################] | 100% Completed | 505.38 ms\n" + "[########################################] | 100% Completed | 605.56 ms\n" ] } ], @@ -821,7 +821,7 @@ "\n", "Running ROMS: \n", "------------\n", - "Submitted batch job 32710636\n" + "Submitted batch job 32843226\n" ] } ], @@ -867,8 +867,8 @@ "output_type": "stream", "text": [ " JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)\n", - " 32710636 shared_mi my_case_ dafydd PD 0:00 1 (Priority)\n", - " 32704625 urgent_mi jupyter dafydd R 3:05:29 1 nid004396\n" + " 32843226 shared_mi my_case_ dafydd PD 0:00 1 (Priority)\n", + " 32837413 urgent_mi jupyter dafydd R 2:59:33 1 nid004290\n" ] } ], @@ -904,13 +904,13 @@ "\n", "Completing post-processing steps for ROMSComponent\n", "---------------------------------------------------\n", - "Joining netCDF files ROMS_MARBL_rst.20120103120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120102120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120103120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_bgc.20120101120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120101120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120102120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120102120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_bgc_dia.20120101120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120102120000.*.nc...\n" + "Joining netCDF files ROMS_MARBL_rst.20120103120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120101120000.*.nc...\n" ] } ], diff --git a/docs/3_restarting_and_continuing_a_case.ipynb b/docs/3_restarting_and_continuing_a_case.ipynb index 6ccf71b..1e2ef2b 100644 --- a/docs/3_restarting_and_continuing_a_case.ipynb +++ b/docs/3_restarting_and_continuing_a_case.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "86073654-f79e-43a6-8d11-788e7a555a21", + "id": "eaf120c2-9169-4056-8310-3b8c34a65d70", "metadata": {}, "source": [ "# Restarting & continuing a `Case`\n", @@ -15,7 +15,7 @@ }, { "cell_type": "markdown", - "id": "83d12ac5-4bdd-4cad-93b8-14b2d2433951", + "id": "16b3dc7e-1046-415f-bdf1-ce47d689b8f6", "metadata": {}, "source": [ "## Restarting our Case\n", @@ -25,7 +25,7 @@ }, { "cell_type": "markdown", - "id": "90a4d5e8-e6f6-4d37-9c7e-4abf06710784", + "id": "416e08c3-409c-4e56-bc51-1ff167028187", "metadata": {}, "source": [ "
                            \n", @@ -40,7 +40,7 @@ { "cell_type": "code", "execution_count": 19, - "id": "b9a9fb3f-3d01-4a62-8695-6e154b1e6199", + "id": "20431ecb-cc52-4f6a-90a6-be9dd0e38051", "metadata": { "tags": [] }, @@ -51,7 +51,7 @@ }, { "cell_type": "markdown", - "id": "85dfbf7e-40a1-430b-9c49-9957d6531fab", + "id": "e02e2760-f1ce-4183-b45f-c021f1caff35", "metadata": {}, "source": [ "Taking a look at the ROMS component, We can see that the initial conditions have been changed:" @@ -60,7 +60,7 @@ { "cell_type": "code", "execution_count": 20, - "id": "2d0e34db-987e-4be2-8a93-8424130dad41", + "id": "dff7dcf6-9488-4b28-8980-27b8071da508", "metadata": { "tags": [] }, @@ -85,7 +85,7 @@ }, { "cell_type": "markdown", - "id": "c64dc7ee-556c-437e-86c0-3c1792232a00", + "id": "fb8237d9-4006-4b9e-8286-7fc62084ad85", "metadata": {}, "source": [ "## Increasing the time step" @@ -93,7 +93,7 @@ }, { "cell_type": "markdown", - "id": "9f8d8e61-8cf0-440a-b08e-dc5da2e43dab", + "id": "2f429f27-586b-4a01-8b5b-6dc2f4f153be", "metadata": {}, "source": [ "If we want to increase the time step for our second run, we will have to manually change the `time_step` entry under `ROMSComponent.discretization`:" @@ -102,7 +102,7 @@ { "cell_type": "code", "execution_count": 21, - "id": "dece0ac8-e194-4080-b662-ad5a0b98d322", + "id": "73914b94-a078-4255-a1f4-041a12225f23", "metadata": { "tags": [] }, @@ -136,7 +136,7 @@ { "cell_type": "code", "execution_count": 22, - "id": "02989430-4ca3-43a3-b6cb-2e65956e0085", + "id": "880c47a3-acca-4e47-a7c3-9b81d05938df", "metadata": { "tags": [] }, @@ -147,7 +147,7 @@ }, { "cell_type": "markdown", - "id": "d7b16531-c694-4d79-b645-ec23832d9c93", + "id": "d7066e4a-e421-4308-a1a3-9e8f60960a9b", "metadata": {}, "source": [ "We can now take a look at our `Case` and see everything is as expected:" @@ -156,7 +156,7 @@ { "cell_type": "code", "execution_count": 23, - "id": "1c740d0d-b06e-4f2c-986b-b3eb6885fc81", + "id": "aaa2a6c1-dd52-484d-9d3d-9b88ed348156", "metadata": { "tags": [] }, @@ -201,7 +201,7 @@ }, { "cell_type": "markdown", - "id": "de89e008-ccb4-4be8-a30a-6ba1b6d5d87d", + "id": "9797f9f6-4e8c-4ad0-98d4-ff8ea2955341", "metadata": {}, "source": [ "Now we run through the other steps as normal:" @@ -210,7 +210,7 @@ { "cell_type": "code", "execution_count": 24, - "id": "a19b54b4-69f0-4b31-9853-ff61f8d8b30e", + "id": "e1fcc4df-ccc0-40a9-9346-335281cccfaa", "metadata": { "tags": [] }, @@ -234,8 +234,8 @@ "\n", "Fetching additional source code...\n", "----------------------------------\n", - "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmp7rv1e3m5\n", - "Checked out cstar_alpha in git repository /tmp/tmp7rv1e3m5\n", + "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmp3hsmz1p4\n", + "Checked out cstar_alpha in git repository /tmp/tmp3hsmz1p4\n", "copying bgc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", "copying bulk_frc.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", "copying cppdefs.opt to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/additional_source_code/ROMS\n", @@ -248,8 +248,8 @@ "\n", "Fetching namelists... \n", "----------------------\n", - "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpuape6kxn\n", - "Checked out cstar_alpha in git repository /tmp/tmpuape6kxn\n", + "Cloned repository https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example.git to /tmp/tmpg_nsnf33\n", + "Checked out cstar_alpha in git repository /tmp/tmpg_nsnf33\n", "copying roms.in_TEMPLATE to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", "copying template file /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in_TEMPLATE to editable version /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS/roms.in\n", "copying marbl_in to /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/namelists/ROMS\n", @@ -262,19 +262,19 @@ "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_grd.yaml...\n", "A file by the name of roms_tides.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_tides.yaml...\n", - "[########################################] | 100% Completed | 4.86 sms\n", + "[########################################] | 100% Completed | 3.64 ss\n", "A file by the name of roms_bry.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry.yaml...\n", - "[########################################] | 100% Completed | 20.75 s\n", + "[########################################] | 100% Completed | 23.96 s\n", "A file by the name of roms_bry_bgc.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_bry_bgc.yaml...\n", - "[########################################] | 100% Completed | 41.87 s\n", + "[########################################] | 100% Completed | 39.23 s\n", "A file by the name of roms_frc.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc.yaml...\n", - "[########################################] | 100% Completed | 41.28 s\n", + "[########################################] | 100% Completed | 36.43 s\n", "A file by the name of roms_frc_bgc.yaml already exists at /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS\n", "Saving roms-tools dataset created from /global/cfs/cdirs/m4746/Users/dafydd/my_c_star/examples/alpha_example/example_case/input_datasets/ROMS/roms_frc_bgc.yaml...\n", - "[########################################] | 100% Completed | 606.58 ms\n", + "[########################################] | 100% Completed | 606.25 ms\n", "\n", "Compiling MARBLComponent\n", "-------------------------\n", @@ -309,8 +309,8 @@ }, { "cell_type": "code", - "execution_count": 25, - "id": "dd64885f-96e8-4240-8ae9-f789c723a9c0", + "execution_count": 28, + "id": "3bb88089-59a6-4ec8-ab9f-56fd67ecdd17", "metadata": { "tags": [] }, @@ -322,7 +322,7 @@ "\n", "Running ROMS: \n", "------------\n", - "Submitted batch job 32712372\n" + "Submitted batch job 32845599\n" ] } ], @@ -332,8 +332,8 @@ }, { "cell_type": "code", - "execution_count": 26, - "id": "f57c90dc-6088-4e1a-9517-dbc62bc3092e", + "execution_count": 29, + "id": "e77a3f87-159c-49c0-bce8-047afb940a77", "metadata": { "tags": [] }, @@ -343,8 +343,8 @@ "output_type": "stream", "text": [ " JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)\n", - " 32712372 shared_mi my_case_ dafydd PD 0:00 1 (Priority)\n", - " 32704625 urgent_mi jupyter dafydd R 4:05:09 1 nid004396\n" + " 32845599 shared_mi my_case_ dafydd PD 0:00 1 (Resources)\n", + " 32837413 urgent_mi jupyter dafydd R 3:36:34 1 nid004290\n" ] } ], @@ -355,7 +355,7 @@ }, { "cell_type": "markdown", - "id": "0cec8224-3e82-4d50-8db6-5fd76cb26897", + "id": "4174ddb6-ff33-4f7a-921d-afa63da84f3e", "metadata": {}, "source": [ "Once again, we have to wait for the job to finish before proceeding..." @@ -363,8 +363,8 @@ }, { "cell_type": "code", - "execution_count": 27, - "id": "15ce5e0e-7c8a-4220-93d7-1a2d5348d94b", + "execution_count": 30, + "id": "bd65d68f-bbf6-47e0-9fca-fadee6f1aa18", "metadata": { "tags": [] }, @@ -376,65 +376,65 @@ "\n", "Completing post-processing steps for ROMSComponent\n", "---------------------------------------------------\n", + "Joining netCDF files ROMS_MARBL_his.20120116120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120128120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120105120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120115120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120111120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120129120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120106120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120107120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120103120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120112120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120127120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120122120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120104120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120120120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120129120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120112120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120131120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120131120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120123120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120121120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120113120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120109120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120116120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120127120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120125120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120108120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120117120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120126120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120130120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120119120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120114120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120107120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120127120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120129120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120123120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120118120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120118120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120105120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120123120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120112120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120110120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120110120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120120120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120125120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_bgc.20120103120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120106120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120114120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120120120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120128120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120115120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120109120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120124120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120105120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120115120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120116120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120108120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120127120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120125120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120129120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120131120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120104120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120106120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120119120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120111120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_bgc_dia.20120103120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120110120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120125120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_his.20120117120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120121120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120122120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120111120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120109120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120128120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120119120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120111120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120103120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120121120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120115120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120123120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120130120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120122120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120126120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120114120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120107120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120108120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120126120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120118120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120122120000.*.nc...\n", "Joining netCDF files ROMS_MARBL_rst.20120124120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_rst.20120113120000.*.nc...\n", - "Joining netCDF files ROMS_MARBL_his.20120113120000.*.nc...\n" + "Joining netCDF files ROMS_MARBL_his.20120105120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120107120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120114120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120124120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120120120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120126120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120119120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120121120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120117120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120112120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120118120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_his.20120131120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120109120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_bgc_dia.20120103120000.*.nc...\n", + "Joining netCDF files ROMS_MARBL_rst.20120113120000.*.nc...\n" ] } ], @@ -444,7 +444,7 @@ }, { "cell_type": "markdown", - "id": "b2a271ee-83b9-4d4c-bd51-48303886ea1e", + "id": "7aaf4adb-b795-4b53-bcc0-4f09037b03db", "metadata": {}, "source": [ "## Some basic analysis of the output\n", @@ -455,8 +455,8 @@ }, { "cell_type": "code", - "execution_count": 28, - "id": "3fbd8a6e-6e3d-4aa1-b77e-c8a22d4074a0", + "execution_count": 31, + "id": "20ff54ae-5756-40df-acc3-39aefbbebe39", "metadata": { "tags": [] }, diff --git a/examples/alpha_example/cstar_blueprint_alpha_example.yaml b/examples/alpha_example/cstar_blueprint_alpha_example.yaml index 6f0d186..95a33c7 100644 --- a/examples/alpha_example/cstar_blueprint_alpha_example.yaml +++ b/examples/alpha_example/cstar_blueprint_alpha_example.yaml @@ -54,9 +54,9 @@ components: file_hash: '17580432b557bc4b54048f561bf5d6edea57ec21c107135914bed4e1fed8a100' boundary_forcing: - location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_bry.yaml' - file_hash: '9099d7649f32873dc1770df0f2a6aa76c22f2df7daf820d0c00d5e64bba3ad75' + file_hash: '0b10d9a5d77671d038fe203dfd80417dda3c411ae72a8f562c7d4e734f59756f' - location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_bry_bgc.yaml' - file_hash: '910b5aa948a85279ad3d8dfb3fb565ee9d897be0a472407366929b15a9dd29a9' + file_hash: '16b6f41e58c664b890eb77c6f88ff843479f36f9363ed910450802b4a83b86ba' surface_forcing: - location: 'https://github.com/CWorthy-ocean/cstar_blueprint_roms_marbl_example/raw/cstar_alpha/roms_tools_yaml_files/roms_frc.yaml' file_hash: '8817ec14af2ef3582176180f88c5e1a718a371ecc4d697ccdfcc332f4df927c7' From 18fa47da4776a131310b2f4a2955740f7a79f710 Mon Sep 17 00:00:00 2001 From: Dafydd Date: Thu, 14 Nov 2024 14:49:24 -0800 Subject: [PATCH 31/31] notebook -> guide --- docs/2_importing_and_running_a_case_from_a_blueprint.ipynb | 2 +- docs/3_restarting_and_continuing_a_case.ipynb | 2 +- docs/4_preparing_roms_input_datasets.ipynb | 4 ++-- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/2_importing_and_running_a_case_from_a_blueprint.ipynb b/docs/2_importing_and_running_a_case_from_a_blueprint.ipynb index a0be432..ebb6740 100644 --- a/docs/2_importing_and_running_a_case_from_a_blueprint.ipynb +++ b/docs/2_importing_and_running_a_case_from_a_blueprint.ipynb @@ -344,7 +344,7 @@ "\n", "1. The `location` attribute can either be a **local path** or a **URL**. If it is set to a URL, the `file_hash` (a 256 bit checksum) must also be provided to verify the download.\n", " \n", - "2. The file described by location can be either **netCDF** or **yaml** format. When C-Star sees a yaml file instead of a netCDF file for ROMS input data, it assumes the file contains a set of instructions to be passed to the [`roms-tools` package](https://roms-tools.readthedocs.io/en/latest/), which will then generate the netCDF file for us when `InputDataset.get()` is called. This makes it easier to share and save ROMS configurations without the overhead associated with potentially large netCDF files. More information on using `roms-tools` with C-Star can be found in [this notebook](https://c-star.readthedocs.io/en/latest/4_preparing_roms_input_datasets.html)\n", + "2. The file described by location can be either **netCDF** or **yaml** format. When C-Star sees a yaml file instead of a netCDF file for ROMS input data, it assumes the file contains a set of instructions to be passed to the [`roms-tools` package](https://roms-tools.readthedocs.io/en/latest/), which will then generate the netCDF file for us when `InputDataset.get()` is called. This makes it easier to share and save ROMS configurations without the overhead associated with potentially large netCDF files. More information on using `roms-tools` with C-Star can be found on [this page](https://c-star.readthedocs.io/en/latest/4_preparing_roms_input_datasets.html)\n", "\n", "
                            " ] diff --git a/docs/3_restarting_and_continuing_a_case.ipynb b/docs/3_restarting_and_continuing_a_case.ipynb index 1e2ef2b..fd7459f 100644 --- a/docs/3_restarting_and_continuing_a_case.ipynb +++ b/docs/3_restarting_and_continuing_a_case.ipynb @@ -6,7 +6,7 @@ "metadata": {}, "source": [ "# Restarting & continuing a `Case`\n", - "In this notebook we will:\n", + "In this guide we will:\n", "\n", "- Take the Case we ran for two days (2012-01-01 to 2012-01-03) on the [previous page](https://c-star.readthedocs.io/en/latest/2_importing_and_running_a_case_from_a_blueprint.html) and create a new Case that picks up where it ends (`Case.restart()`)\n", "- Run this second case with a larger time step for the remainder of the month of January 2012\n", diff --git a/docs/4_preparing_roms_input_datasets.ipynb b/docs/4_preparing_roms_input_datasets.ipynb index 586228f..f8a486c 100644 --- a/docs/4_preparing_roms_input_datasets.ipynb +++ b/docs/4_preparing_roms_input_datasets.ipynb @@ -9,7 +9,7 @@ "\n", "If we want to build a `C-Star` blueprint from scratch, we first have to make the input data for our new ROMS simulation. The path to the input data files will then go into the C-Star blueprint.\n", "\n", - "In this notebook, we prepare all the input data necessary for a ROMS simulation. This includes the \n", + "In this guide, we prepare all the input data necessary for a ROMS simulation. This includes the \n", "\n", "* grid\n", "* initial conditions\n", @@ -14097,7 +14097,7 @@ ], "metadata": { "kernelspec": { - "display_name": "cstar_env_hpc", + "display_name": "cstar_env", "language": "python", "name": "cstar_env" },