From 4212a01abed476c6550b9b22de759b868228d290 Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Fri, 28 Jul 2023 12:32:26 -0600 Subject: [PATCH 01/32] Add panel for actual tendency Only apply add_time0 function if time0 if needed. Round times to nearest millisecond. This fixes times like 2019-06-15 18:03:0.000003, which is supposed to be 2019-06-15 18:03 but has imprecise floating-point value. Allow metpy.quantify() to protect units This eliminates the need to restore units after applying .mean to DataArray. Round times to nearest millisecond. Model output times are sometimes imprecise due to floating point error. Let argparse assume arguments are strings unless specified otherwise. Allow time window to be a float, not just an int. Refer to sum of all tendencies as "all_tendencies" instead of "total". "dstate_variable" -> "actual_tendency" Don't treat nophys tendency differently. UFS output changed. Removed bug where final units are assumed to be temperature tendency "K/hour". Keep the tendencies in their native units of "[something] per second" instead of converting to "[something] per hour". Define time slice starting with time-after-time0 and ending with validtime. We use the time *after* time0 because the time range of the tendency field is the period immediately prior to the tendency timestamp. That way, slice(time_after_time0, validtime) has a time range of [time0,validtime]. Compute the time-weighted mean tendencies for time index slice. Be clear about "all" tendencies. It is the sum of all tendencies, physics and non-physics. It does not include the physics tendency variable, which may be part of the history file and included in the tendency_vars list. That would be double-counting. Subtract physics tendency variable if it was in tendency_vars. Command line changes: Read file-type command line args as strings, not argparse.FileType('r'). For simpler code. --norobust flag (to use data extremes for colormap range, not 99th and 2nd percentiles.) logging info about renaming variables. Keep characters after final underscore. The first part is redundant. For example dtend_u_pbl -> pbl actual_change -> actual_tendency Test for shp is not None, not shp. (Accept shp=something evaluated as False, like 0) Print entire arg Namespace as fineprint, not just select variables. Use plt.figtext instead of plt.annotate. Makes for cleaner code. Reduce xarray time selection tolerance from 1 sec to 1 millisecond. pep8 changes reorder load modules module and function documentation shorten lines lazy logging messages (no f-string) specify encoding on open --- .../fv3_physics_tend/planview_fv3.py | 281 +++++++++++------- 1 file changed, 166 insertions(+), 115 deletions(-) diff --git a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py index 22f31628..e7380951 100644 --- a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py @@ -1,50 +1,63 @@ +""" Plan view of tendencies """ import argparse -import cartopy import datetime import logging +import os +import cartopy import matplotlib.pyplot as plt from metpy.units import units import numpy as np -import os import pandas as pd -import pdb -from . import physics_tend -import sys import xarray import yaml +from . import physics_tend -""" -Plan view of tendencies of t, q, u, or v from physics parameterizations, dynamics (non-physics), their total, and residual. -Total change is the actual change in state variable from first time to last time. Total change differs from cumulative change -attributed to physics and non-physics tendencies when residual is not zero. -""" def parse_args(): + """ + parse command line arguments + """ # =============Arguments=================== - parser = argparse.ArgumentParser(description = "Plan view of FV3 diagnostic tendency", formatter_class=argparse.ArgumentDefaultsHelpFormatter) + parser = argparse.ArgumentParser( + description = "Plan view of FV3 diagnostic tendency", + formatter_class=argparse.ArgumentDefaultsHelpFormatter) # ==========Mandatory Arguments=================== - parser.add_argument("config", type=argparse.FileType('r'), help="yaml configuration file") - parser.add_argument("historyfile", type=argparse.FileType("r"), help="FV3 history file") - parser.add_argument("gridfile", type=argparse.FileType("r"), help="FV3 grid spec file") - parser.add_argument("statevariable", type=str, help="moisture, temperature, or wind component variable name") - parser.add_argument("fill", type=str, help='type of tendency. ignored if pfull is a single level') + parser.add_argument("config", help="yaml configuration file") + parser.add_argument("historyfile", help="FV3 history file") + parser.add_argument("gridfile", help="FV3 grid spec file") + parser.add_argument("statevariable", help="moisture, temperature, or wind component variable name") + parser.add_argument("fill", help='type of tendency. ignored if pfull is a single level') # ==========Optional Arguments=================== parser.add_argument("-d", "--debug", action='store_true') - parser.add_argument("--method", type=str, choices=["nearest", "linear","loglinear"], default="nearest", help="vertical interpolation method") + parser.add_argument("--method", choices=["nearest", "linear","loglinear"], default="nearest", + help="vertical interpolation method") parser.add_argument("--ncols", type=int, default=None, help="number of columns") - parser.add_argument("--nofineprint", action='store_true', help="Don't add metadata and created by date (for comparing images)") - parser.add_argument("-o", "--ofile", type=str, help="name of output image file") - parser.add_argument("-p", "--pfull", nargs='+', type=float, default=[1000,925,850,700,500,300,200,100,0], help="pressure level(s) in hPa to plot. If only one pressure level is provided, the type-of-tendency argument will be ignored and all tendencies will be plotted.") - parser.add_argument("-s", "--shp", type=str, default=None, help="shape file directory for mask") - parser.add_argument("--subtract", type=argparse.FileType("r"), help="FV3 history file to subtract") - parser.add_argument("-t", "--twindow", type=int, default=3, help="time window in hours") - parser.add_argument("-v", "--validtime", type=lambda x:pd.to_datetime(x), help="valid time") + parser.add_argument("--nofineprint", action='store_true', + help="Don't add metadata and created by date (for comparing images)") + parser.add_argument("--norobust", action='store_true', + help="compute colormap range with extremes, not 2nd and 98th percentiles") + parser.add_argument("-o", "--ofile", help="name of output image file") + parser.add_argument("-p", "--pfull", nargs='+', type=float, + default=[1000,925,850,700,500,300,200,100,0], + help=("pressure level(s) in hPa to plot. " + "If only one pressure level is provided, the type-of-tendency " + "argument will be ignored and all tendencies will be plotted.") + ) + parser.add_argument("-s", "--shp", help="shape file directory for mask") + parser.add_argument("--subtract", help="FV3 history file to subtract") + parser.add_argument("-t", "--twindow", type=float, default=3, help="time window in hours") + parser.add_argument("-v", "--validtime", help="valid time") args = parser.parse_args() return args def main(): + """ + Plan view of tendencies of t, q, u, or v from physics parameterizations, dynamics (non-physics), + the combination of all tendencies (physics and non-physics), + the actual tendency, and the residual. Residual is the sum of all tendencies minus the actual tendency. + """ args = parse_args() gfile = args.gridfile ifile = args.historyfile @@ -57,14 +70,18 @@ def main(): nofineprint= args.nofineprint ofile = args.ofile pfull = args.pfull * units.hPa + robust = not args.norobust shp = args.shp subtract = args.subtract twindow = datetime.timedelta(hours = args.twindow) - validtime = args.validtime + twindow_quantity = twindow.total_seconds() * units.seconds + validtime = pd.to_datetime(args.validtime) level = logging.INFO - if debug: level = logging.DEBUG - logging.basicConfig(format='%(asctime)s - %(message)s', level=level) # prepend log message with time + if debug: + level = logging.DEBUG + # prepend log message with time + logging.basicConfig(format='%(asctime)s - %(message)s', level=level) logging.debug(args) # Output filename. @@ -76,114 +93,146 @@ def main(): if not os.path.exists(odir): logging.info(f"output directory {odir} does not exist. Creating it") os.mkdir(odir) - logging.info(f"output filename={ofile}") + logging.info("output filename=%s", ofile) # Reload fv3 in case user specifies a custom --config file - fv3 = yaml.load(open(config.name), Loader=yaml.FullLoader) + fv3 = yaml.load(open(config, encoding="utf8"), Loader=yaml.FullLoader) # Read lat/lon/area from gfile logging.debug(f"read lat/lon/area from {gfile}") - gds = xarray.open_dataset(gfile.name) + gds = xarray.open_dataset(gfile) lont = gds[fv3["lon_name"]] latt = gds[fv3["lat_name"]] area = gds["area"] # Open input file - logging.debug(f"About to open {ifile}") - fv3ds = xarray.open_dataset(ifile.name) + logging.debug("open %s", ifile) + fv3ds = xarray.open_dataset(ifile) datetimeindex = fv3ds.indexes['time'] if hasattr(datetimeindex, "to_datetimeindex"): - # Convert from CFTime to pandas datetime. I get a warning CFTimeIndex from non-standard calendar 'julian'. Maybe history file should be saved with standard calendar. + # Convert from CFTime to pandas datetime or get warning + # CFTimeIndex from non-standard calendar 'julian'. + # Maybe history file should be saved with standard calendar. # To turn off warning, set unsafe=True. datetimeindex = datetimeindex.to_datetimeindex(unsafe=True) + ragged_times = datetimeindex != datetimeindex.round('1ms') + if any(ragged_times): + logging.info(f"round times to nearest millisecond. before: {datetimeindex[ragged_times].values}") + datetimeindex = datetimeindex.round('1ms') + logging.info(f"after: {datetimeindex[ragged_times].values}") fv3ds['time'] = datetimeindex if subtract: - logging.debug(f"subtracting {subtract.name}") + logging.info("subtracting %s", subtract) with xarray.set_options(keep_attrs=True): - fv3ds -= xarray.open_dataset(subtract.name) + fv3ds -= xarray.open_dataset(subtract) fv3ds = fv3ds.assign_coords(lont=lont, latt=latt) # lont and latt used by pcolorfill() - tendency_vars = fv3["tendency_varnames"][variable] # list of tendency variable names for requested state variable - fv3ds = physics_tend.add_time0(fv3ds, variable, fv3) - tendencies = fv3ds[tendency_vars] # subset of original Dataset if validtime is None: - logging.debug("validtime not provided on command line, so use latest time in history file.") validtime = fv3ds.time.values[-1] validtime = pd.to_datetime(validtime) + logging.info( + "validtime not provided on command line. Using last time in history file %s.", + validtime) time0 = validtime - twindow - time1 = time0 + datetime.timedelta(hours=1) - logging.info(f"Sum tendencies {time1}-{validtime}") - tindex = dict(time=slice(time1, validtime)) # slice of time from hour after time0 through validtime - tendencies_avg = tendencies.sel(tindex).mean(dim="time") # average tendencies in time - - # Dynamics (nophys) tendency is not reset every hour. Just calculate change from time0 to validtime. - nophys_var = [x for x in tendency_vars if x.endswith("_nophys")] - assert len(nophys_var) == 1 - nophys_var = nophys_var[0] # we don't want a 1-element list; we want a string. So that tendencies[nophys_var] is a DataArray, not a Dataset. - logging.info(f"Subtract nophys tendency at {time0} from {validtime}") - nophys_delta = tendencies[nophys_var].sel(time=validtime) - tendencies[nophys_var].sel(time=time0) - tendencies_avg[nophys_var] = nophys_delta / args.twindow - - - # Restore units after .mean() removed them. Copy units from 1st tendency variable. - tendency_units = units.parse_expression(fv3ds[tendency_vars[0]].units) - logging.debug(f"restoring {tendency_units} units after .mean() method removed them.") - tendencies_avg *= tendency_units - for da in tendencies_avg: - tendencies_avg[da] = tendencies_avg[da].metpy.convert_units("K/hour") - long_names = [fv3ds[da].attrs["long_name"] for da in tendencies_avg] # Make list of long_names before .to_array() loses them. - - # Remove characters up to and including 1st underscore (e.g. du3dt_) in DataArray name. - # for example dt3dt_pbl -> pbl - name_dict = {da : "_".join(da.split("_")[1:]) for da in tendencies_avg.data_vars} + if time0 not in fv3ds.time: + logging.info("time0 %s not in history file. add it.", time0) + fv3ds = physics_tend.add_time0(fv3ds, variable, fv3) + + # list of tendency variable names for requested state variable + tendency_vars = fv3["tendency_varnames"][variable] + tendencies = fv3ds[tendency_vars] # subset of original Dataset + # convert DataArrays to Quantities to protect units. DataArray.mean drops units attribute. + tendencies = tendencies.metpy.quantify() + + # Define time slice starting with time-after-time0 and ending with validtime. + # We use the time *after* time0 because the time range of the tendency field is the period + # immediately prior to the tendency timestamp. + # That way, slice(time_after_time0, validtime) has a time range of [time0,validtime]. + idx_first_time_after_time0 = (fv3ds.time > time0).argmax() + time_after_time0 = fv3ds.time[idx_first_time_after_time0] + tindex = {"time":slice(time_after_time0, validtime)} + logging.debug("Time-weighted mean tendencies for time index slice %s", tindex) + timeweights = fv3ds.time.diff("time").sel(tindex) + time_weighted_tendencies = tendencies.sel(tindex) * timeweights + tendencies_avg = time_weighted_tendencies.sum(dim="time") / timeweights.sum(dim="time") + + # Make list of long_names before .to_array() loses them. + long_names = [fv3ds[da].attrs["long_name"] for da in tendencies_avg] + + # Keep characters after final underscore. The first part is redundant. + # for example dtend_u_pbl -> pbl + name_dict = {da : "_".join(da.split("_")[-1:]) for da in tendencies_avg.data_vars} + logging.info("rename %s", name_dict) tendencies_avg = tendencies_avg.rename(name_dict) + # Stack variables along new tendency dimension of new DataArray. tendency_dim = f"{variable} tendency" tendencies_avg = tendencies_avg.to_array(dim=tendency_dim) - # Assign long_names to a new DataArray coordinate. It will have the same shape as tendency dimension. + # Assign long_names to a new DataArray coordinate. + # It will have the same shape as tendency dimension. tendencies_avg = tendencies_avg.assign_coords({"long_name":(tendency_dim,long_names)}) - logging.info(f"calculate actual change in {variable}") - state_variable = fv3ds[variable].metpy.quantify() # Tried metpy.quantify() with open_dataset, but pint.errors.UndefinedUnitError: 'dBz' is not defined in the unit registry - dstate_variable = state_variable.sel(time = validtime) - state_variable.sel(time = time0) - dstate_variable = dstate_variable.assign_coords(time=validtime) - dstate_variable.attrs["long_name"] = f"actual change in {state_variable.attrs['long_name']}" + logging.info("calculate actual change in %s", variable) + # Tried metpy.quantify() with open_dataset, but + # pint.errors.UndefinedUnitError: 'dBz' is not defined in the unit registry + state_variable = fv3ds[variable].metpy.quantify() + actual_change = state_variable.sel(time = validtime) - state_variable.sel( + time=time0, method="nearest", tolerance=datetime.timedelta(milliseconds=1)) + actual_change = actual_change.assign_coords(time=validtime) + actual_change.attrs["long_name"] = f"actual change in {state_variable.attrs['long_name']}" + + + # Sum all tendencies (physics and non-physics) + all_tendencies = tendencies_avg.sum(dim=tendency_dim) - # Add all tendencies together and subtract actual rate of change in state variable. - # This is residual. - total = tendencies_avg.sum(dim=tendency_dim) - twindow_quantity = twindow.total_seconds() * units.seconds - resid = total - dstate_variable/twindow_quantity + # Subtract physics tendency variable if it was in tendency_vars. Don't want to double-count. + phys_var = [x for x in tendency_vars if x.endswith("_phys")] + if phys_var: + logging.info("subtracting 'phys' tendency variable " + "from all_tendencies to avoid double-counting") + # use .data to avoid re-introducing tendency coordinate + all_tendencies = all_tendencies - tendencies_avg.sel({tendency_dim:"phys"}).data + # Calculate actual tendency of state variable. + actual_tendency = actual_change / twindow_quantity + logging.info("subtract actual tendency from all_tendencies to get residual") + resid = all_tendencies - actual_tendency - logging.info("Define DataArray to plot (da2plot).") + + logging.debug("Define DataArray to plot (da2plot).") if len(pfull) == 1: # If only 1 pressure level was requested, plot all tendencies. da2plot = tendencies_avg - # Add total and resid DataArrays to tendency_dim. - total = total.expand_dims({tendency_dim:["total"]}).assign_coords(long_name="sum of tendencies") - resid = resid.expand_dims({tendency_dim:["resid"]}).assign_coords(long_name=f"sum of tendencies - actual rate of change of {variable} (residual)") - da2plot = xarray.concat([da2plot, total, resid], dim=tendency_dim) + # Concatenate all_tendencies, actual_tendency, and resid DataArrays. + # Give them a name and long_name along tendency_dim. + all_tendencies = all_tendencies.expand_dims({tendency_dim:["all"]}).assign_coords( + long_name="sum of physics tendencies") + actual_tendency = actual_tendency.expand_dims({tendency_dim:["actual"]}).assign_coords( + long_name=f"actual rate of change of {variable}") + resid = resid.expand_dims({tendency_dim:["resid"]}).assign_coords( + long_name=f"sum of physics tendencies - actual rate of change of {variable} (residual)") + da2plot = xarray.concat([da2plot, all_tendencies, actual_tendency, resid], dim=tendency_dim) col = tendency_dim else: - # otherwise pick a DataArray (resid, state_variable, dstate_variable, tendency) + # otherwise pick a DataArray (resid, state_variable, actual_tendency, tendency) col = "pfull" if fill == 'resid': # residual da2plot = resid elif fill == "": # plain-old state variable da2plot = state_variable.sel(time=validtime) elif fill == "d"+variable: # actual change in state variable - da2plot = dstate_variable + da2plot = actual_tendency else: # expected change in state variable from tendencies - da2plot = tendencies_avg.sel({tendency_dim:fill}) + da2plot = tendencies_avg.sel({tendency_dim:fill}) if da2plot.metpy.vertical.attrs["units"] == "mb": da2plot.metpy.vertical.attrs["units"] = "hPa" # For MetPy. Otherwise, mb is interpreted as millibarn. - # dequantify moves units from DataArray to Attributes. Now they show up in colorbar. And they aren't lost in xarray.DataArray.interp. + # dequantify moves units from DataArray to attributes. Now they show up in colorbar. + # And they aren't lost in xarray.DataArray.interp. da2plot = da2plot.metpy.dequantify() # Select vertical levels. @@ -192,15 +241,15 @@ def main(): elif method == "linear": da2plot = da2plot.interp(coords={"pfull":pfull}, method=method) elif method == "loglinear": # interpolate in log10(pressure) - da2plot["pfull"] = np.log10(da2plot.pfull) + da2plot["pfull"] = np.log10(da2plot.pfull) da2plot = da2plot.interp(coords={"pfull":np.log10(pfull.m)}, method="linear") da2plot["pfull"] = 10**da2plot.pfull # Mask points outside shape. - if shp: - # mask points outside shape - mask = physics_tend.pts_in_shp(latt.values, lont.values, shp, debug=debug) # Use .values to avoid AttributeError: 'DataArray' object has no attribute 'flatten' + if shp is not None: + # Use .values to avoid AttributeError: 'DataArray' object has no attribute 'flatten' + mask = physics_tend.pts_in_shp(latt.values, lont.values, shp, debug=debug) mask = xarray.DataArray(mask, coords=[da2plot.grid_yt, da2plot.grid_xt]) da2plot = da2plot.where(mask, drop=True) area = area.where(mask).fillna(0) @@ -212,28 +261,32 @@ def main(): # Default # of cols is square root of # of panels ncols = int(np.ceil(np.sqrt(len(da2plot)))) - nrows = int(np.ceil(len(da2plot)/ncols)) - - if da2plot["pfull"].size == 1: - # Avoid ValueError: ('grid_yt', 'grid_xt') must be a permuted list of ('pfull', 'grid_yt', 'grid_xt'), unless `...` is included + # Avoid ValueError: ('grid_yt', 'grid_xt') must be a + # permuted list of ('pfull', 'grid_yt', 'grid_xt'), unless `...` is included # Error occurs in pcolormesh(). da2plot=da2plot.squeeze() - # central lon/lat from https://github.com/NOAA-EMC/regional_workflow/blob/release/public-v1/ush/Python/plot_allvars.py - subplot_kws = dict(projection=cartopy.crs.LambertConformal(central_longitude=-97.6, central_latitude=35.4)) + # central lon/lat from https://github.com/NOAA-EMC/regional_workflow/blob/ + #release/public-v1/ush/Python/plot_allvars.py + subplot_kws = { + "projection":cartopy.crs.LambertConformal( + central_longitude=-97.6, central_latitude=35.4, standard_parallels=None)} - logging.info("plot pcolormesh") - pc = da2plot.plot.pcolormesh(x="lont", y="latt", col=col, col_wrap=ncols, robust=True, infer_intervals=True, - transform=cartopy.crs.PlateCarree(), - cmap=fv3["cmap"], cbar_kwargs={'shrink':0.8}, subplot_kws=subplot_kws) # robust (bool, optional) – If True and vmin or vmax are absent, the colormap range is computed with 2nd and 98th percentiles instead of the extreme values - for ax in pc.axes.flat: - ax.set_extent(fv3["extent"]) # Why needed only when col=tendency_dim? With col="pfull" it shrinks to unmasked size. + logging.debug("plot pcolormesh") + if robust: + logging.warning("compute colormap range with 2nd and 98th percentiles") + pcm = da2plot.plot.pcolormesh(x="lont", y="latt", col=col, col_wrap=ncols, robust=robust, + infer_intervals=True, transform=cartopy.crs.PlateCarree(), + cmap=fv3["cmap"], cbar_kwargs={'shrink':0.8}, subplot_kws=subplot_kws) + for ax in pcm.axes.flat: + # Why needed only when col=tendency_dim? With col="pfull" it shrinks to unmasked size. + ax.set_extent(fv3["extent"]) physics_tend.add_conus_features(ax) - # Add time to title + # Add time to title title = f'{time0}-{validtime} ({twindow_quantity.to("hours"):~} time window)' if col == tendency_dim: title = f'pfull={pfull[0]:~.0f} {title}' @@ -241,32 +294,30 @@ def main(): title = f'{da2plot.coords["long_name"].data} {title}' plt.suptitle(title, wrap=True) - # Annotate figure with details about figure creation. - fineprint = f"history: {os.path.realpath(ifile.name)}" - if subtract: - fineprint += f"\nsubtract: {os.path.realpath(subtract.name)}" - fineprint += f"\ngrid_spec: {os.path.realpath(gfile.name)}" - if shp: fineprint += f"\nmask: {shp}" - fineprint += f"\ntotal area: {totalarea.data:~.0f}" - fineprint += f"\nvertical interpolation method: {method} requested levels: {pfull}" - fineprint += f"\ncreated {datetime.datetime.now(tz=None)}" + # Annotate figure with args namespace, total area, and timestamp + fineprint = f"{args} " + fineprint += f"total area={totalarea.data:~.0f}, created {datetime.datetime.now(tz=None)}" if nofineprint: - logging.info(fineprint) + logging.debug(fineprint) else: - fineprint_obj = plt.annotate(text=fineprint, xy=(1,1), xycoords='figure pixels', fontsize=5) + logging.debug("add fineprint to image") + plt.figtext(0, 0, fineprint, fontsize='xx-small', va="bottom", wrap=True) plt.savefig(ofile, dpi=fv3["dpi"]) - logging.info(f'created {os.path.realpath(ofile)}') + logging.info('created %s',os.path.realpath(ofile)) def default_ofile(args): + """ + Return default output filename. + """ pfull = args.pfull * units.hPa if len(pfull) == 1: pfull_str = f"{pfull[0]:~.0f}".replace(" ","") ofile = f"{args.statevariable}_{pfull_str}.png" else: - ofile = f"{args.statevariable}_{args.fill}.png" - if args.shp: + ofile = f"{args.fill}.png" + if args.shp is not None: shp = shp.rstrip("/") # Add shapefile name to output filename shapename = os.path.basename(shp) From f2fb67db2453ff97f18d6871e6549c0f1d718b01 Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Wed, 2 Aug 2023 14:56:59 -0600 Subject: [PATCH 02/32] tendency variable names changed --- .../fv3_physics_tend_defaults.yaml | 75 +++++++++---------- 1 file changed, 37 insertions(+), 38 deletions(-) diff --git a/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml b/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml index 3e0d825b..4ba241f6 100644 --- a/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml +++ b/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml @@ -1,48 +1,47 @@ # Names of tendency variables in model output (i.e. FV3 history file) # Each type of tendency (moisture, temperature, wind component) has its own set of variables. tendency_varnames: - spfh: - - dq3dt_deepcnv - - dq3dt_mp - - dq3dt_pbl - - dq3dt_shalcnv - - dq3dt_nophys - tmp: - - dt3dt_congwd - - dt3dt_deepcnv - - dt3dt_lw - - dt3dt_mp - - dt3dt_orogwd - - dt3dt_pbl - - dt3dt_rdamp - - dt3dt_shalcnv - - dt3dt_sw - - dt3dt_nophys - ugrd: - - du3dt_congwd - - du3dt_deepcnv - - du3dt_mp - - du3dt_orogwd - - du3dt_pbl - - du3dt_rdamp - - du3dt_shalcnv - - du3dt_nophys - vgrd: - - dv3dt_congwd - - dv3dt_deepcnv - - dv3dt_mp - - dv3dt_orogwd - - dv3dt_pbl - - dv3dt_rdamp - - dv3dt_shalcnv - - dv3dt_nophys + qv: + - dtend_qv_pbl + - dtend_qv_deepcnv + - dtend_qv_shalcnv + - dtend_qv_mp + - dtend_qv_nophys + - dtend_qv_phys + temp: + - dtend_temp_lw + - dtend_temp_sw + - dtend_temp_pbl + - dtend_temp_deepcnv + - dtend_temp_shalcnv + - dtend_temp_mp + - dtend_temp_orogwd + - dtend_temp_cnvgwd + - dtend_temp_nophys + - dtend_temp_phys + u: + - dtend_u_pbl + - dtend_u_orogwd + - dtend_u_deepcnv + - dtend_u_cnvgwd + - dtend_u_shalcnv + - dtend_u_nophys + - dtend_u_phys + v: + - dtend_v_pbl + - dtend_v_orogwd + - dtend_v_deepcnv + - dtend_v_cnvgwd + - dtend_v_shalcnv + - dtend_v_nophys + - dtend_v_phys # Name of variables in history file that contain the temperature, moisture, wind at time zero (initialization time). time0_varname: - tmp : tmp_i + tmp : temp_i spfh: qv_i - ugrd: ugrd_i - vgrd: vgrd_i + ugrd: u_i + vgrd: v_i # Name of the longitude and latitude variables in the grid specification file. From 77e54154c3d24cf996ee0c5facf3a5e00f237c72 Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Wed, 2 Aug 2023 15:56:52 -0600 Subject: [PATCH 03/32] Apply same upgrades to cross section vertical script. Fix names of tendency variables in config file. The state variables are not the same as the tendency variable prefixes. For example spfh vs. qv. --- .../fv3_physics_tend/cross_section_vert.py | 221 ++++++++++-------- .../fv3_physics_tend/planview_fv3.py | 6 +- .../fv3_physics_tend_defaults.yaml | 8 +- 3 files changed, 137 insertions(+), 98 deletions(-) diff --git a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py index a5970d2b..d51b2a17 100644 --- a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py +++ b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py @@ -1,51 +1,58 @@ +""" vertcal cross section of tendencies """ import argparse -import cartopy import datetime import logging +import os +import cartopy import matplotlib.pyplot as plt from matplotlib.ticker import MultipleLocator from metpy.interpolate import cross_section from metpy.units import units import numpy as np -import os import pandas as pd -import pdb -from . import physics_tend -import sys import xarray import yaml +import physics_tend -""" -Plan view of tendencies of t, q, u, or v from physics parameterizations, dynamics (non-physics), their total, and residual. -Total change is the actual change in state variable from first time to last time. Total change differs from cumulative change -attributed to physics and non-physics tendencies when residual is not zero. -""" def parse_args(): + """ + parse command line arguments + """ # =============Arguments=================== - parser = argparse.ArgumentParser(description = "Vertical cross section of FV3 diagnostic tendency", formatter_class=argparse.ArgumentDefaultsHelpFormatter) + parser = argparse.ArgumentParser( + description = "Vertical cross section of FV3 diagnostic tendency", + formatter_class=argparse.ArgumentDefaultsHelpFormatter) # ==========Mandatory Arguments=================== - parser.add_argument("config", type=argparse.FileType('r'), help="yaml configuration file") - parser.add_argument("historyfile", type=argparse.FileType("r"), help="FV3 history file") - parser.add_argument("gridfile", type=argparse.FileType("r"), help="FV3 grid spec file") - parser.add_argument("statevariable", type=str, help="moisture, temperature, or wind component variable name") + parser.add_argument("config", help="yaml configuration file") + parser.add_argument("historyfile", help="FV3 history file") + parser.add_argument("gridfile", help="FV3 grid spec file") + parser.add_argument("statevariable", help="moisture, temperature, or wind component variable name") # ==========Optional Arguments=================== parser.add_argument("-d", "--debug", action='store_true') parser.add_argument("--dindex", type=int, default=20, help="tick and gridline interval along cross section") parser.add_argument("--ncols", type=int, default=None, help="number of columns") - parser.add_argument("--nofineprint", action='store_true', help="Don't add metadata and created by date (for comparing images)") - parser.add_argument("-o", "--ofile", type=str, help="name of output image file") + parser.add_argument("--nofineprint", action='store_true', + help="Don't add metadata and created by date (for comparing images)") + parser.add_argument("--norobust", action='store_true', + help="compute colormap range with extremes, not 2nd and 98th percentiles") + parser.add_argument("-o", "--ofile", help="name of output image file") parser.add_argument("-s", "--start", nargs=2, type=float, default=(28, -115), help="start point") parser.add_argument("-e", "--end", nargs=2, type=float, default=(30, -82), help="end point") - parser.add_argument("--subtract", type=argparse.FileType("r"), help="FV3 history file to subtract") - parser.add_argument("-t", "--twindow", type=int, default=3, help="time window in hours") - parser.add_argument("-v", "--validtime", type=lambda x:pd.to_datetime(x), help="valid time") + parser.add_argument("--subtract", help="FV3 history file to subtract") + parser.add_argument("-t", "--twindow", type=float, default=3, help="time window in hours") + parser.add_argument("-v", "--validtime", help="valid time") args = parser.parse_args() return args def main(): + """ + Plan view of tendencies of t, q, u, or v from physics parameterizations, dynamics (non-physics), their total, and residual. + Total change is the actual change in state variable from first time to last time. Total change differs from cumulative change + attributed to physics and non-physics tendencies when residual is not zero. + """ args = parse_args() gfile = args.gridfile ifile = args.historyfile @@ -60,11 +67,14 @@ def main(): endpt = args.end subtract = args.subtract twindow = datetime.timedelta(hours = args.twindow) - validtime = args.validtime + twindow_quantity = twindow.total_seconds() * units.seconds + validtime = pd.to_datetime(args.validtime) level = logging.INFO - if debug: level = logging.DEBUG - logging.basicConfig(format='%(asctime)s - %(message)s', level=level) # prepend log message with time + if debug: + level = logging.DEBUG + # prepend log message with time + logging.basicConfig(format='%(asctime)s - %(message)s', level=level) logging.debug(args) # Output filename. @@ -76,113 +86,144 @@ def main(): if not os.path.exists(odir): logging.info(f"output directory {odir} does not exist. Creating it") os.mkdir(odir) - logging.info(f"output filename={ofile}") + logging.info("output filename=%s", ofile) # Reload fv3 in case user specifies a custom --config file - fv3 = yaml.load(open(config.name), Loader=yaml.FullLoader) + fv3 = yaml.load(open(config, encoding="utf8"), Loader=yaml.FullLoader) # Read lat/lon from gfile logging.debug(f"read lat/lon from {gfile}") - gds = xarray.open_dataset(gfile.name) + gds = xarray.open_dataset(gfile) lont = gds[fv3["lon_name"]] latt = gds[fv3["lat_name"]] # Open input file - logging.debug(f"About to open {ifile}") - fv3ds = xarray.open_dataset(ifile.name) + logging.debug("open %s", ifile) + fv3ds = xarray.open_dataset(ifile) datetimeindex = fv3ds.indexes['time'] if hasattr(datetimeindex, "to_datetimeindex"): - # Convert from CFTime to pandas datetime. I get a warning CFTimeIndex from non-standard calendar 'julian'. Maybe history file should be saved with standard calendar. + # Convert from CFTime to pandas datetime or get warning + # CFTimeIndex from non-standard calendar 'julian'. + # Maybe history file should be saved with standard calendar. # To turn off warning, set unsafe=True. datetimeindex = datetimeindex.to_datetimeindex(unsafe=True) + ragged_times = datetimeindex != datetimeindex.round('1ms') + if any(ragged_times): + logging.info(f"round times to nearest millisecond. before: {datetimeindex[ragged_times].values}") + datetimeindex = datetimeindex.round('1ms') + logging.info(f"after: {datetimeindex[ragged_times].values}") fv3ds['time'] = datetimeindex if subtract: - logging.debug(f"subtracting {subtract.name}") + logging.info("subtracting %s", subtract) with xarray.set_options(keep_attrs=True): - fv3ds -= xarray.open_dataset(subtract.name) + fv3ds -= xarray.open_dataset(subtract) fv3ds = fv3ds.assign_coords(lont=lont, latt=latt) # lont and latt used by pcolorfill() - tendency_vars = fv3["tendency_varnames"][variable] # list of tendency variable names for requested state variable - fv3ds = physics_tend.add_time0(fv3ds, variable, fv3) - tendencies = fv3ds[tendency_vars] # subset of original Dataset if validtime is None: - logging.debug("validtime not provided on command line, so use latest time in history file.") validtime = fv3ds.time.values[-1] validtime = pd.to_datetime(validtime) + logging.info( + "validtime not provided on command line. Using last time in history file %s.", + validtime) time0 = validtime - twindow - time1 = time0 + datetime.timedelta(hours=1) - logging.info(f"Sum tendencies {time1}-{validtime}") - tindex = dict(time=slice(time1, validtime)) # slice of time from hour after time0 through validtime - tendencies_avg = tendencies.sel(tindex).mean(dim="time") # average tendencies in time - - # Dynamics (nophys) tendency is not reset every hour. Just calculate change from time0 to validtime. - nophys_var = [x for x in tendency_vars if x.endswith("_nophys")] - assert len(nophys_var) == 1 - nophys_var = nophys_var[0] # we don't want a 1-element list; we want a string. So that tendencies[nophys_var] is a DataArray, not a Dataset. - logging.info(f"Subtract nophys tendency at {time0} from {validtime}") - nophys_delta = tendencies[nophys_var].sel(time=validtime) - tendencies[nophys_var].sel(time=time0) - tendencies_avg[nophys_var] = nophys_delta / args.twindow - - - # Restore units after .mean() removed them. Copy units from 1st tendency variable. - tendency_units = units.parse_expression(fv3ds[tendency_vars[0]].units) - logging.debug(f"restoring {tendency_units} units after .mean() method removed them.") - tendencies_avg *= tendency_units - for da in tendencies_avg: - tendencies_avg[da] = tendencies_avg[da].metpy.convert_units("K/hour") - long_names = [fv3ds[da].attrs["long_name"] for da in tendencies_avg] # Make list of long_names before .to_array() loses them. - - # Remove characters up to and including 1st underscore (e.g. du3dt_) in DataArray name. - # for example dt3dt_pbl -> pbl - name_dict = {da : "_".join(da.split("_")[1:]) for da in tendencies_avg.data_vars} + if time0 not in fv3ds.time: + logging.info("time0 %s not in history file. add it.", time0) + fv3ds = physics_tend.add_time0(fv3ds, variable, fv3) + + # list of tendency variable names for requested state variable + tendency_vars = fv3["tendency_varnames"][variable] + tendencies = fv3ds[tendency_vars] # subset of original Dataset + # convert DataArrays to Quantities to protect units. DataArray.mean drops units attribute. + tendencies = tendencies.metpy.quantify() + + # Define time slice starting with time-after-time0 and ending with validtime. + # We use the time *after* time0 because the time range of the tendency field is the period + # immediately prior to the tendency timestamp. + # That way, slice(time_after_time0, validtime) has a time range of [time0,validtime]. + idx_first_time_after_time0 = (fv3ds.time > time0).argmax() + time_after_time0 = fv3ds.time[idx_first_time_after_time0] + tindex = {"time":slice(time_after_time0, validtime)} + logging.debug("Time-weighted mean tendencies for time index slice %s", tindex) + timeweights = fv3ds.time.diff("time").sel(tindex) + time_weighted_tendencies = tendencies.sel(tindex) * timeweights + tendencies_avg = time_weighted_tendencies.sum(dim="time") / timeweights.sum(dim="time") + + # Make list of long_names before .to_array() loses them. + long_names = [fv3ds[da].attrs["long_name"] for da in tendencies_avg] + + # Keep characters after final underscore. The first part is redundant. + # for example dtend_u_pbl -> pbl + name_dict = {da : "_".join(da.split("_")[-1:]) for da in tendencies_avg.data_vars} + logging.info("rename %s", name_dict) tendencies_avg = tendencies_avg.rename(name_dict) + # Stack variables along new tendency dimension of new DataArray. tendency_dim = f"{variable} tendency" tendencies_avg = tendencies_avg.to_array(dim=tendency_dim) - # Assign long_names to a new DataArray coordinate. It will have the same shape as tendency dimension. + # Assign long_names to a new DataArray coordinate. + # It will have the same shape as tendency dimension. tendencies_avg = tendencies_avg.assign_coords({"long_name":(tendency_dim,long_names)}) - logging.info(f"calculate actual change in {variable}") - state_variable = fv3ds[variable].metpy.quantify() # Tried metpy.quantify() with open_dataset, but pint.errors.UndefinedUnitError: 'dBz' is not defined in the unit registry - dstate_variable = state_variable.sel(time = validtime) - state_variable.sel(time = time0) - dstate_variable = dstate_variable.assign_coords(time=validtime) - dstate_variable.attrs["long_name"] = f"actual change in {state_variable.attrs['long_name']}" + logging.info("calculate actual change in %s", variable) + # Tried metpy.quantify() with open_dataset, but + # pint.errors.UndefinedUnitError: 'dBz' is not defined in the unit registry + state_variable = fv3ds[variable].metpy.quantify() + actual_change = state_variable.sel(time = validtime) - state_variable.sel( + time=time0, method="nearest", tolerance=datetime.timedelta(milliseconds=1)) + actual_change = actual_change.assign_coords(time=validtime) + actual_change.attrs["long_name"] = f"actual change in {state_variable.attrs['long_name']}" + - # Add all tendencies together and subtract actual rate of change in state variable. - # This is residual. - total = tendencies_avg.sum(dim=tendency_dim) - twindow_quantity = twindow.total_seconds() * units.seconds - resid = total - dstate_variable/twindow_quantity + # Sum all tendencies (physics and non-physics) + all_tendencies = tendencies_avg.sum(dim=tendency_dim) + # Subtract physics tendency variable if it was in tendency_vars. Don't want to double-count. + phys_var = [x for x in tendency_vars if x.endswith("_phys")] + if phys_var: + logging.info("subtracting 'phys' tendency variable " + "from all_tendencies to avoid double-counting") + # use .data to avoid re-introducing tendency coordinate + all_tendencies = all_tendencies - tendencies_avg.sel({tendency_dim:"phys"}).data - logging.info("Define DataArray to plot (da2plot).") + # Calculate actual tendency of state variable. + actual_tendency = actual_change / twindow_quantity + logging.info("subtract actual tendency from all_tendencies to get residual") + resid = all_tendencies - actual_tendency + + + logging.debug("Define DataArray to plot (da2plot).") # Plot all tendencies. da2plot = tendencies_avg - # Add total and resid DataArrays to tendency_dim. - total = total.expand_dims({tendency_dim:["total"]}).assign_coords(long_name="sum of tendencies") - resid = resid.expand_dims({tendency_dim:["resid"]}).assign_coords(long_name=f"sum of tendencies - actual rate of change of {variable} (residual)") - da2plot = xarray.concat([da2plot, total, resid], dim=tendency_dim) + # Concatenate all_tendencies, actual_tendency, and resid DataArrays. + # Give them a name and long_name along tendency_dim. + all_tendencies = all_tendencies.expand_dims({tendency_dim:["all"]}).assign_coords( + long_name="sum of tendencies") + actual_tendency = actual_tendency.expand_dims({tendency_dim:["actual"]}).assign_coords( + long_name=f"actual rate of change of {variable}") + resid = resid.expand_dims({tendency_dim:["resid"]}).assign_coords( + long_name=f"sum of tendencies - actual rate of change of {variable} (residual)") + da2plot = xarray.concat([da2plot, all_tendencies, actual_tendency, resid], dim=tendency_dim) col = tendency_dim if da2plot.metpy.vertical.attrs["units"] == "mb": da2plot.metpy.vertical.attrs["units"] = "hPa" # For MetPy. Otherwise, mb is interpreted as millibarn. + # dequantify moves units from DataArray to attributes. Now they show up in colorbar. + # And they aren't lost in xarray.DataArray.interp. + da2plot = da2plot.metpy.dequantify() + # Make default dimensions of facetgrid kind of square. if not ncols: # Default # of cols is square root of # of panels ncols = int(np.ceil(np.sqrt(len(da2plot)))) - nrows = int(np.ceil(len(da2plot)/ncols)) - - # dequantify moves units from DataArray to Attributes. Now they show up in colorbar. - da2plot = da2plot.metpy.dequantify() - if da2plot["pfull"].size == 1: - # Avoid ValueError: ('grid_yt', 'grid_xt') must be a permuted list of ('pfull', 'grid_yt', 'grid_xt'), unless `...` is included + # Avoid ValueError: ('grid_yt', 'grid_xt') must be a + # permuted list of ('pfull', 'grid_yt', 'grid_xt'), unless `...` is included # Error occurs in pcolormesh(). da2plot=da2plot.squeeze() @@ -226,20 +267,18 @@ def main(): extent = fv3["extent"] ax_inset.set_extent(extent) - # Annotate figure with details about figure creation. - fineprint = f"history: {os.path.realpath(ifile.name)}" - if subtract: - fineprint += f"\nsubtract: {os.path.realpath(subtract.name)}" - fineprint += f"\ngrid_spec: {os.path.realpath(gfile.name)}" - fineprint += f"\ncreated {datetime.datetime.now(tz=None)}" + # Annotate figure with args namespace and timestamp + fineprint = f"{args} " + fineprint += f", created {datetime.datetime.now(tz=None)}" if nofineprint: - logging.info(fineprint) + logging.debug(fineprint) else: - fineprint_obj = plt.annotate(text=fineprint, xy=(1,1), xycoords='figure pixels', fontsize=5) + logging.debug("add fineprint to image") + plt.figtext(0, 0, fineprint, fontsize='xx-small', va="bottom", wrap=True) plt.savefig(ofile, dpi=fv3["dpi"]) - logging.info(f'created {os.path.realpath(ofile)}') + logging.info('created %s',os.path.realpath(ofile)) if __name__ == "__main__": main() diff --git a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py index e7380951..03a168c4 100644 --- a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py @@ -10,7 +10,7 @@ import pandas as pd import xarray import yaml -from . import physics_tend +import physics_tend def parse_args(): @@ -209,11 +209,11 @@ def main(): # Concatenate all_tendencies, actual_tendency, and resid DataArrays. # Give them a name and long_name along tendency_dim. all_tendencies = all_tendencies.expand_dims({tendency_dim:["all"]}).assign_coords( - long_name="sum of physics tendencies") + long_name="sum of tendencies") actual_tendency = actual_tendency.expand_dims({tendency_dim:["actual"]}).assign_coords( long_name=f"actual rate of change of {variable}") resid = resid.expand_dims({tendency_dim:["resid"]}).assign_coords( - long_name=f"sum of physics tendencies - actual rate of change of {variable} (residual)") + long_name=f"sum of tendencies - actual rate of change of {variable} (residual)") da2plot = xarray.concat([da2plot, all_tendencies, actual_tendency, resid], dim=tendency_dim) col = tendency_dim else: diff --git a/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml b/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml index 4ba241f6..14fead54 100644 --- a/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml +++ b/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml @@ -1,14 +1,14 @@ # Names of tendency variables in model output (i.e. FV3 history file) # Each type of tendency (moisture, temperature, wind component) has its own set of variables. tendency_varnames: - qv: + spfh: - dtend_qv_pbl - dtend_qv_deepcnv - dtend_qv_shalcnv - dtend_qv_mp - dtend_qv_nophys - dtend_qv_phys - temp: + tmp: - dtend_temp_lw - dtend_temp_sw - dtend_temp_pbl @@ -19,7 +19,7 @@ tendency_varnames: - dtend_temp_cnvgwd - dtend_temp_nophys - dtend_temp_phys - u: + ugrd: - dtend_u_pbl - dtend_u_orogwd - dtend_u_deepcnv @@ -27,7 +27,7 @@ tendency_varnames: - dtend_u_shalcnv - dtend_u_nophys - dtend_u_phys - v: + vgrd: - dtend_v_pbl - dtend_v_orogwd - dtend_v_deepcnv From 61b3f9ea779b149f538a363d67fd4c9e0af46b76 Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Wed, 2 Aug 2023 17:11:09 -0600 Subject: [PATCH 04/32] applied same enhancements to vert_profile --- .../fv3_physics_tend/vert_profile_fv3.py | 244 ++++++++++-------- 1 file changed, 142 insertions(+), 102 deletions(-) diff --git a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py index 19d4534f..e58bfb5a 100644 --- a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py @@ -1,65 +1,76 @@ +""" Vertical profile of tendencies """ import argparse -import cartopy import datetime import logging +import os +import cartopy import matplotlib.pyplot as plt from matplotlib.ticker import MultipleLocator from metpy.units import units import numpy as np -import os import pandas as pd -import pdb -from . import physics_tend -import sys import xarray import yaml +import physics_tend -""" -Vertical profile of tendencies of t, q, u, or v from physics parameterizations, dynamics (non-physics), their total, and residual. -Total change is the actual change in state variable from first time to last time. Total change differs from cumulative change -attributed to physics and non-physics tendencies when residual is not zero. -""" def parse_args(): + """ + parse command line arguments + """ # =============Arguments=================== - parser = argparse.ArgumentParser(description = "Vertical profile of FV3 diagnostic tendencies", formatter_class=argparse.ArgumentDefaultsHelpFormatter) + parser = argparse.ArgumentParser( + description = "Vertical profile of FV3 diagnostic tendencies", + formatter_class=argparse.ArgumentDefaultsHelpFormatter) # ==========Mandatory Arguments=================== - parser.add_argument("config", type=argparse.FileType('r'), help="yaml configuration file") - parser.add_argument("historyfile", type=argparse.FileType("r"), help="FV3 history file") - parser.add_argument("gridfile", type=argparse.FileType("r"), help="FV3 grid spec file") - parser.add_argument("statevariable", type=str, help="moisture, temperature, or wind component variable name") + parser.add_argument("config", help="yaml configuration file") + parser.add_argument("historyfile", help="FV3 history file") + parser.add_argument("gridfile", help="FV3 grid spec file") + parser.add_argument("statevariable", help="moisture, temperature, or wind component variable name") # ==========Optional Arguments=================== parser.add_argument("-d", "--debug", action='store_true') - parser.add_argument("--nofineprint", action='store_true', help="Don't add metadata and created by date (for comparing images)") - parser.add_argument("-o", "--ofile", type=str, help="name of output image file") + parser.add_argument("--nofineprint", action='store_true', + help="Don't add metadata and created by date (for comparing images)") + parser.add_argument("-o", "--ofile", help="name of output image file") parser.add_argument("--resid", action="store_true", help="calculate residual") - parser.add_argument("-s", "--shp", type=str, default=None, help="shape file directory for mask") - parser.add_argument("--subtract", type=argparse.FileType("r"), help="FV3 history file to subtract") - parser.add_argument("-t", "--twindow", type=int, default=3, help="time window in hours") - parser.add_argument("-v", "--validtime", type=lambda x:pd.to_datetime(x), help="valid time") + parser.add_argument("-s", "--shp", help="shape file directory for mask") + parser.add_argument("--subtract", help="FV3 history file to subtract") + parser.add_argument("-t", "--twindow", type=float, default=3, help="time window in hours") + parser.add_argument("-v", "--validtime", help="valid time") + parser.add_argument("--xmin", type=float, help="x-axis minimum") + parser.add_argument("--xmax", type=float, help="x-axis maximum") args = parser.parse_args() return args def main(): + """ + Vertical profile of tendencies of t, q, u, or v from physics parameterizations, dynamics (non-physics), + the combination of all tendencies (physics and non-physics), + the actual tendency, and the residual. Residual is the sum of all tendencies minus the actual tendency. + """ args = parse_args() gfile = args.gridfile ifile = args.historyfile variable = args.statevariable config = args.config debug = args.debug - resid = args.resid nofineprint= args.nofineprint ofile = args.ofile shp = args.shp subtract = args.subtract twindow = datetime.timedelta(hours = args.twindow) - validtime = args.validtime + twindow_quantity = twindow.total_seconds() * units.seconds + validtime = pd.to_datetime(args.validtime) + xmin = args.xmin + xmax = args.xmax level = logging.INFO - if debug: level = logging.DEBUG - logging.basicConfig(format='%(asctime)s - %(message)s', level=level) # prepend log message with time + if debug: + level = logging.DEBUG + # prepend log message with time + logging.basicConfig(format='%(asctime)s - %(message)s', level=level) logging.debug(args) # Output filename. @@ -77,109 +88,142 @@ def main(): if not os.path.exists(odir): logging.info(f"output directory {odir} does not exist. Creating it") os.mkdir(odir) - logging.info(f"output filename={ofile}") + logging.info("output filename=%s", ofile) # Reload fv3 in case user specifies a custom --config file - fv3 = yaml.load(open(config.name), Loader=yaml.FullLoader) + fv3 = yaml.load(open(config, encoding="utf8"), Loader=yaml.FullLoader) # Read lat/lon/area from gfile logging.debug(f"read lat/lon/area from {gfile}") - gds = xarray.open_dataset(gfile.name) + gds = xarray.open_dataset(gfile) lont = gds[fv3["lon_name"]] latt = gds[fv3["lat_name"]] area = gds["area"] # Open input file - logging.debug(f"About to open {ifile}") - fv3ds = xarray.open_dataset(ifile.name) + logging.debug("open %s", ifile) + fv3ds = xarray.open_dataset(ifile) datetimeindex = fv3ds.indexes['time'] if hasattr(datetimeindex, "to_datetimeindex"): - # Convert from CFTime to pandas datetime. I get a warning CFTimeIndex from non-standard calendar 'julian'. Maybe history file should be saved with standard calendar. + # Convert from CFTime to pandas datetime or get warning + # CFTimeIndex from non-standard calendar 'julian'. + # Maybe history file should be saved with standard calendar. # To turn off warning, set unsafe=True. datetimeindex = datetimeindex.to_datetimeindex(unsafe=True) + ragged_times = datetimeindex != datetimeindex.round('1ms') + if any(ragged_times): + logging.info(f"round times to nearest millisecond. before: {datetimeindex[ragged_times].values}") + datetimeindex = datetimeindex.round('1ms') + logging.info(f"after: {datetimeindex[ragged_times].values}") fv3ds['time'] = datetimeindex if subtract: - logging.debug(f"subtracting {subtract.name}") + logging.info("subtracting %s", subtract) with xarray.set_options(keep_attrs=True): - fv3ds -= xarray.open_dataset(subtract.name) + fv3ds -= xarray.open_dataset(subtract) fv3ds = fv3ds.assign_coords(lont=lont, latt=latt) # lont and latt used by pcolorfill() - tendency_vars = fv3["tendency_varnames"][variable] # list of tendency variable names for requested state variable - fv3ds = physics_tend.add_time0(fv3ds, variable, fv3) - tendencies = fv3ds[tendency_vars] # subset of original Dataset if validtime is None: - logging.debug("validtime not provided on command line, so use latest time in history file.") validtime = fv3ds.time.values[-1] validtime = pd.to_datetime(validtime) + logging.info( + "validtime not provided on command line. Using last time in history file %s.", + validtime) time0 = validtime - twindow - time1 = time0 + datetime.timedelta(hours=1) - logging.info(f"Sum tendencies {time1}-{validtime}") - tindex = dict(time=slice(time1, validtime)) # slice of time from hour after time0 through validtime - tendencies_avg = tendencies.sel(tindex).mean(dim="time") # average tendencies in time - - # Dynamics (nophys) tendency is not reset every hour. Just calculate change from time0 to validtime. - nophys_var = [x for x in tendency_vars if x.endswith("_nophys")] - assert len(nophys_var) == 1 - nophys_var = nophys_var[0] # we don't want a 1-element list; we want a string. So that tendencies[nophys_var] is a DataArray, not a Dataset. - logging.info(f"Subtract nophys tendency at {time0} from {validtime}") - nophys_delta = tendencies[nophys_var].sel(time=validtime) - tendencies[nophys_var].sel(time=time0) - tendencies_avg[nophys_var] = nophys_delta / args.twindow - - - # Restore units after .mean() removed them. Copy units from 1st tendency variable. - tendency_units = units.parse_expression(fv3ds[tendency_vars[0]].units) - logging.debug(f"restoring {tendency_units} units after .mean() method removed them.") - tendencies_avg *= tendency_units - for da in tendencies_avg: - tendencies_avg[da] = tendencies_avg[da].metpy.convert_units("K/hour") - long_names = [fv3ds[da].attrs["long_name"] for da in tendencies_avg] # Make list of long_names before .to_array() loses them. - - # Remove characters up to and including 1st underscore (e.g. du3dt_) in DataArray name. - # for example dt3dt_pbl -> pbl - name_dict = {da : "_".join(da.split("_")[1:]) for da in tendencies_avg.data_vars} + if time0 not in fv3ds.time: + logging.info("time0 %s not in history file. add it.", time0) + fv3ds = physics_tend.add_time0(fv3ds, variable, fv3) + + # list of tendency variable names for requested state variable + tendency_vars = fv3["tendency_varnames"][variable] + tendencies = fv3ds[tendency_vars] # subset of original Dataset + # convert DataArrays to Quantities to protect units. DataArray.mean drops units attribute. + tendencies = tendencies.metpy.quantify() + + # Define time slice starting with time-after-time0 and ending with validtime. + # We use the time *after* time0 because the time range of the tendency field is the period + # immediately prior to the tendency timestamp. + # That way, slice(time_after_time0, validtime) has a time range of [time0,validtime]. + idx_first_time_after_time0 = (fv3ds.time > time0).argmax() + time_after_time0 = fv3ds.time[idx_first_time_after_time0] + tindex = {"time":slice(time_after_time0, validtime)} + logging.debug("Time-weighted mean tendencies for time index slice %s", tindex) + timeweights = fv3ds.time.diff("time").sel(tindex) + time_weighted_tendencies = tendencies.sel(tindex) * timeweights + tendencies_avg = time_weighted_tendencies.sum(dim="time") / timeweights.sum(dim="time") + + # Make list of long_names before .to_array() loses them. + long_names = [fv3ds[da].attrs["long_name"] for da in tendencies_avg] + + # Keep characters after final underscore. The first part is redundant. + # for example dtend_u_pbl -> pbl + name_dict = {da : "_".join(da.split("_")[-1:]) for da in tendencies_avg.data_vars} + logging.info("rename %s", name_dict) tendencies_avg = tendencies_avg.rename(name_dict) + # Stack variables along new tendency dimension of new DataArray. tendency_dim = f"{variable} tendency" tendencies_avg = tendencies_avg.to_array(dim=tendency_dim) - # Assign long_names to a new DataArray coordinate. It will have the same shape as tendency dimension. + # Assign long_names to a new DataArray coordinate. + # It will have the same shape as tendency dimension. tendencies_avg = tendencies_avg.assign_coords({"long_name":(tendency_dim,long_names)}) - logging.info(f"calculate actual change in {variable}") - state_variable = fv3ds[variable].metpy.quantify() # Tried metpy.quantify() with open_dataset, but pint.errors.UndefinedUnitError: 'dBz' is not defined in the unit registry - dstate_variable = state_variable.sel(time = validtime) - state_variable.sel(time = time0) - dstate_variable = dstate_variable.assign_coords(time=validtime) - dstate_variable.attrs["long_name"] = f"actual change in {state_variable.attrs['long_name']}" + logging.info("calculate actual change in %s", variable) + # Tried metpy.quantify() with open_dataset, but + # pint.errors.UndefinedUnitError: 'dBz' is not defined in the unit registry + state_variable = fv3ds[variable].metpy.quantify() + actual_change = state_variable.sel(time = validtime) - state_variable.sel( + time=time0, method="nearest", tolerance=datetime.timedelta(milliseconds=1)) + actual_change = actual_change.assign_coords(time=validtime) + actual_change.attrs["long_name"] = f"actual change in {state_variable.attrs['long_name']}" + - # Add all tendencies together and subtract actual rate of change in state variable. - # This is residual. - total = tendencies_avg.sum(dim=tendency_dim) - twindow_quantity = twindow.total_seconds() * units.seconds - resid = total - dstate_variable/twindow_quantity + # Sum all tendencies (physics and non-physics) + all_tendencies = tendencies_avg.sum(dim=tendency_dim) + # Subtract physics tendency variable if it was in tendency_vars. Don't want to double-count. + phys_var = [x for x in tendency_vars if x.endswith("_phys")] + if phys_var: + logging.info("subtracting 'phys' tendency variable " + "from all_tendencies to avoid double-counting") + # use .data to avoid re-introducing tendency coordinate + all_tendencies = all_tendencies - tendencies_avg.sel({tendency_dim:"phys"}).data + + # Calculate actual tendency of state variable. + actual_tendency = actual_change / twindow_quantity + logging.info("subtract actual tendency from all_tendencies to get residual") + resid = all_tendencies - actual_tendency + + + logging.debug("Define DataArray to plot (da2plot).") da2plot = tendencies_avg - if resid is not None: - # Add total and resid DataArrays to tendency_dim. - total = total.expand_dims({tendency_dim:["total"]}).assign_coords(long_name="sum of tendencies") - resid = resid.expand_dims({tendency_dim:["resid"]}).assign_coords(long_name=f"sum of tendencies - actual rate of change of {variable} (residual)") - da2plot = xarray.concat([da2plot, total, resid], dim=tendency_dim) + if args.resid: + # Add all_tendencies and resid DataArrays to tendency_dim. + all_tendencies = all_tendencies.expand_dims({tendency_dim:["all"]}).assign_coords( + long_name="sum of tendencies") + actual_tendency = actual_tendency.expand_dims({tendency_dim:["actual"]}).assign_coords( + long_name=f"actual rate of change of {variable}") + resid = resid.expand_dims({tendency_dim:["resid"]}).assign_coords( + long_name=f"sum of tendencies - actual rate of change of {variable} (residual)") + da2plot = xarray.concat([da2plot, all_tendencies, actual_tendency, resid], dim=tendency_dim) + # Put units in attributes so they show up in xlabel. + da2plot = da2plot.metpy.dequantify() # Mask points outside shape. - if shp: - # mask points outside shape - mask = physics_tend.pts_in_shp(latt.values, lont.values, shp, debug=debug) # Use .values to avoid AttributeError: 'DataArray' object has no attribute 'flatten' + if shp is not None: + # Use .values to avoid AttributeError: 'DataArray' object has no attribute 'flatten' + mask = physics_tend.pts_in_shp(latt.values, lont.values, shp, debug=debug) mask = xarray.DataArray(mask, coords=[da2plot.grid_yt, da2plot.grid_xt]) da2plot = da2plot.where(mask, drop=True) area = area.where(mask).fillna(0) totalarea = area.metpy.convert_units("km**2").sum() - - logging.info(f"area-weighted spatial average") + logging.info("area-weighted spatial average") da2plot = da2plot.weighted(area).mean(area.dims) @@ -192,14 +236,12 @@ def main(): ax.yaxis.set_minor_locator(MultipleLocator(25)) ax.grid(which='minor', alpha=0.3, lw=0.4) - # Put units in attributes so they show up in xlabel. - da2plot = da2plot.metpy.dequantify() logging.info("plot area-weighted spatial average...") - lines = da2plot.plot.line(y="pfull", ax=ax, hue=tendency_dim) + lines = da2plot.plot.line(y="pfull", ax=ax, xlim=(xmin,xmax), hue=tendency_dim) - if resid is not None: # resid might have been turned from a Boolean scalar variable to a DataArray. - # Add special marker to dstate_variable and residual lines. + if args.resid: + # Add special marker to actual_change and residual lines. # DataArray plot legend handles differ from the plot lines, for some reason. So if you # change the style of a line later, it is not automatically changed in the legend. # zip d{variable}, resid line and their respective legend handles together and change their style together. @@ -217,36 +259,34 @@ def main(): title = f'{time0}-{validtime} ({twindow_quantity.to("hours"):~} time window)' ax.set_title(title, wrap=True) - if shp: + if shp is not None: # Locate region of interest on conus map background. Put in inset. projection = cartopy.crs.LambertConformal(central_longitude=-97.5, central_latitude=fv3["standard_parallel"]) ax_inset = plt.gcf().add_axes([.7, .001, .19, .13], projection=projection) # astype(int) to avoid TypeError: numpy boolean subtract cbar_kwargs = dict(ticks=[0.25,0.75],shrink=0.6) - pc = mask.assign_coords(lont=lont, latt=latt).astype(int).plot.pcolormesh(ax=ax_inset, x="lont", y="latt", infer_intervals=True, - transform=cartopy.crs.PlateCarree(), cmap=plt.cm.get_cmap('cool',2), add_labels=False, cbar_kwargs=cbar_kwargs) + pc = mask.assign_coords(lont=lont, latt=latt).astype(int).plot.pcolormesh( + ax=ax_inset, x="lont", y="latt", infer_intervals=True, + transform=cartopy.crs.PlateCarree(), cmap=plt.cm.get_cmap('cool',2), + add_labels=False, cbar_kwargs=cbar_kwargs) pc.colorbar.ax.set_yticklabels(["masked","valid"], fontsize='xx-small') pc.colorbar.outline.set_visible(False) physics_tend.add_conus_features(ax_inset) extent = fv3["extent"] ax_inset.set_extent(extent) - # Annotate figure with details about figure creation. - fineprint = f"history: {os.path.realpath(ifile.name)}" - if subtract: - fineprint += f"\nsubtract: {os.path.realpath(subtract.name)}" - fineprint += f"\ngrid_spec: {os.path.realpath(gfile.name)}" - if shp: fineprint += f"\nmask: {shp}" - fineprint += f"\ntotal area: {totalarea.data:~.0f}" - fineprint += f"\ncreated {datetime.datetime.now(tz=None)}" + # Annotate figure with args namespace, total area, and timestamp + fineprint = f"{args} " + fineprint += f"total area={totalarea.data:~.0f}, created {datetime.datetime.now(tz=None)}" if nofineprint: - logging.info(fineprint) + logging.debug(fineprint) else: - fineprint_obj = plt.annotate(text=fineprint, xy=(1,1), xycoords='figure pixels', fontsize=5) + logging.debug("add fineprint to image") + plt.figtext(0, 0, fineprint, fontsize='xx-small', va="bottom", wrap=True) plt.savefig(ofile, dpi=fv3["dpi"]) - logging.info(f'created {os.path.realpath(ofile)}') + logging.info('created %s',os.path.realpath(ofile)) if __name__ == "__main__": main() From fa90967c4c99aa8595de6233d7ba51883fc53fca Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Thu, 3 Aug 2023 09:54:27 -0600 Subject: [PATCH 05/32] applied autopep8 formatting --- .../fv3_physics_tend/cross_section_vert.py | 172 +++++++++------- .../fv3_physics_tend/physics_tend.py | 63 +++--- .../fv3_physics_tend/planview_fv3.py | 190 ++++++++++-------- .../fv3_physics_tend/vert_profile_fv3.py | 167 ++++++++------- 4 files changed, 332 insertions(+), 260 deletions(-) diff --git a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py index d51b2a17..f38ae795 100644 --- a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py +++ b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py @@ -22,53 +22,66 @@ def parse_args(): # =============Arguments=================== parser = argparse.ArgumentParser( - description = "Vertical cross section of FV3 diagnostic tendency", - formatter_class=argparse.ArgumentDefaultsHelpFormatter) + description="Vertical cross section of FV3 diagnostic tendency", + formatter_class=argparse.ArgumentDefaultsHelpFormatter) # ==========Mandatory Arguments=================== parser.add_argument("config", help="yaml configuration file") parser.add_argument("historyfile", help="FV3 history file") parser.add_argument("gridfile", help="FV3 grid spec file") - parser.add_argument("statevariable", help="moisture, temperature, or wind component variable name") + parser.add_argument( + "statevariable", help="moisture, temperature, or wind component variable name") # ==========Optional Arguments=================== parser.add_argument("-d", "--debug", action='store_true') - parser.add_argument("--dindex", type=int, default=20, help="tick and gridline interval along cross section") - parser.add_argument("--ncols", type=int, default=None, help="number of columns") + parser.add_argument("--dindex", type=int, default=20, + help="tick and gridline interval along cross section") + parser.add_argument("--ncols", type=int, default=None, + help="number of columns") parser.add_argument("--nofineprint", action='store_true', - help="Don't add metadata and created by date (for comparing images)") + help="Don't add metadata and created by date (for comparing images)") parser.add_argument("--norobust", action='store_true', - help="compute colormap range with extremes, not 2nd and 98th percentiles") + help="compute colormap range with extremes, not 2nd and 98th percentiles") parser.add_argument("-o", "--ofile", help="name of output image file") - parser.add_argument("-s", "--start", nargs=2, type=float, default=(28, -115), help="start point") - parser.add_argument("-e", "--end", nargs=2, type=float, default=(30, -82), help="end point") + parser.add_argument("-s", "--start", nargs=2, type=float, + default=(28, -115), help="start point") + parser.add_argument("-e", "--end", nargs=2, type=float, + default=(30, -82), help="end point") parser.add_argument("--subtract", help="FV3 history file to subtract") - parser.add_argument("-t", "--twindow", type=float, default=3, help="time window in hours") + parser.add_argument("-t", "--twindow", type=float, + default=3, help="time window in hours") parser.add_argument("-v", "--validtime", help="valid time") + parser.add_argument("--vmin", type=float, + help="color bar minimum (overrides robust=True)") + parser.add_argument("--vmax", type=float, + help="color bar maximum (overrides robust=True)") args = parser.parse_args() return args + def main(): """ - Plan view of tendencies of t, q, u, or v from physics parameterizations, dynamics (non-physics), their total, and residual. - Total change is the actual change in state variable from first time to last time. Total change differs from cumulative change - attributed to physics and non-physics tendencies when residual is not zero. + Vertical cross section view of tendencies of t, q, u, or v from physics parameterizations, dynamics (non-physics), + the combination of all tendencies (physics and non-physics), + the actual tendency, and the residual. Residual is the sum of all tendencies minus the actual tendency. """ args = parse_args() - gfile = args.gridfile - ifile = args.historyfile - variable = args.statevariable - config = args.config - debug = args.debug - dindex = args.dindex - ncols = args.ncols - nofineprint= args.nofineprint - ofile = args.ofile - startpt = args.start - endpt = args.end - subtract = args.subtract - twindow = datetime.timedelta(hours = args.twindow) + gfile = args.gridfile + ifile = args.historyfile + variable = args.statevariable + config = args.config + debug = args.debug + dindex = args.dindex + ncols = args.ncols + nofineprint = args.nofineprint + ofile = args.ofile + startpt = args.start + endpt = args.end + subtract = args.subtract + twindow = datetime.timedelta(hours=args.twindow) twindow_quantity = twindow.total_seconds() * units.seconds - validtime = pd.to_datetime(args.validtime) + validtime = pd.to_datetime(args.validtime) + vmin = args.vmin + vmax = args.vmax level = logging.INFO if debug: @@ -84,17 +97,17 @@ def main(): ofile = os.path.realpath(args.ofile) odir = os.path.dirname(ofile) if not os.path.exists(odir): - logging.info(f"output directory {odir} does not exist. Creating it") + logging.info( + f"output directory {odir} does not exist. Creating it") os.mkdir(odir) logging.info("output filename=%s", ofile) - # Reload fv3 in case user specifies a custom --config file fv3 = yaml.load(open(config, encoding="utf8"), Loader=yaml.FullLoader) # Read lat/lon from gfile logging.debug(f"read lat/lon from {gfile}") - gds = xarray.open_dataset(gfile) + gds = xarray.open_dataset(gfile) lont = gds[fv3["lon_name"]] latt = gds[fv3["lat_name"]] @@ -110,7 +123,8 @@ def main(): datetimeindex = datetimeindex.to_datetimeindex(unsafe=True) ragged_times = datetimeindex != datetimeindex.round('1ms') if any(ragged_times): - logging.info(f"round times to nearest millisecond. before: {datetimeindex[ragged_times].values}") + logging.info( + f"round times to nearest millisecond. before: {datetimeindex[ragged_times].values}") datetimeindex = datetimeindex.round('1ms') logging.info(f"after: {datetimeindex[ragged_times].values}") fv3ds['time'] = datetimeindex @@ -119,14 +133,15 @@ def main(): with xarray.set_options(keep_attrs=True): fv3ds -= xarray.open_dataset(subtract) - fv3ds = fv3ds.assign_coords(lont=lont, latt=latt) # lont and latt used by pcolorfill() + # lont and latt used by pcolorfill() + fv3ds = fv3ds.assign_coords(lont=lont, latt=latt) if validtime is None: validtime = fv3ds.time.values[-1] validtime = pd.to_datetime(validtime) logging.info( - "validtime not provided on command line. Using last time in history file %s.", - validtime) + "validtime not provided on command line. Using last time in history file %s.", + validtime) time0 = validtime - twindow if time0 not in fv3ds.time: logging.info("time0 %s not in history file. add it.", time0) @@ -134,7 +149,7 @@ def main(): # list of tendency variable names for requested state variable tendency_vars = fv3["tendency_varnames"][variable] - tendencies = fv3ds[tendency_vars] # subset of original Dataset + tendencies = fv3ds[tendency_vars] # subset of original Dataset # convert DataArrays to Quantities to protect units. DataArray.mean drops units attribute. tendencies = tendencies.metpy.quantify() @@ -144,39 +159,41 @@ def main(): # That way, slice(time_after_time0, validtime) has a time range of [time0,validtime]. idx_first_time_after_time0 = (fv3ds.time > time0).argmax() time_after_time0 = fv3ds.time[idx_first_time_after_time0] - tindex = {"time":slice(time_after_time0, validtime)} - logging.debug("Time-weighted mean tendencies for time index slice %s", tindex) + tindex = {"time": slice(time_after_time0, validtime)} + logging.debug( + "Time-weighted mean tendencies for time index slice %s", tindex) timeweights = fv3ds.time.diff("time").sel(tindex) time_weighted_tendencies = tendencies.sel(tindex) * timeweights - tendencies_avg = time_weighted_tendencies.sum(dim="time") / timeweights.sum(dim="time") + tendencies_avg = time_weighted_tendencies.sum( + dim="time") / timeweights.sum(dim="time") # Make list of long_names before .to_array() loses them. long_names = [fv3ds[da].attrs["long_name"] for da in tendencies_avg] # Keep characters after final underscore. The first part is redundant. # for example dtend_u_pbl -> pbl - name_dict = {da : "_".join(da.split("_")[-1:]) for da in tendencies_avg.data_vars} + name_dict = {da: "_".join(da.split("_")[-1:]) + for da in tendencies_avg.data_vars} logging.info("rename %s", name_dict) tendencies_avg = tendencies_avg.rename(name_dict) - # Stack variables along new tendency dimension of new DataArray. tendency_dim = f"{variable} tendency" tendencies_avg = tendencies_avg.to_array(dim=tendency_dim) # Assign long_names to a new DataArray coordinate. # It will have the same shape as tendency dimension. - tendencies_avg = tendencies_avg.assign_coords({"long_name":(tendency_dim,long_names)}) + tendencies_avg = tendencies_avg.assign_coords( + {"long_name": (tendency_dim, long_names)}) logging.info("calculate actual change in %s", variable) # Tried metpy.quantify() with open_dataset, but # pint.errors.UndefinedUnitError: 'dBz' is not defined in the unit registry state_variable = fv3ds[variable].metpy.quantify() - actual_change = state_variable.sel(time = validtime) - state_variable.sel( - time=time0, method="nearest", tolerance=datetime.timedelta(milliseconds=1)) + actual_change = state_variable.sel(time=validtime) - state_variable.sel( + time=time0, method="nearest", tolerance=datetime.timedelta(milliseconds=1)) actual_change = actual_change.assign_coords(time=validtime) actual_change.attrs["long_name"] = f"actual change in {state_variable.attrs['long_name']}" - # Sum all tendencies (physics and non-physics) all_tendencies = tendencies_avg.sum(dim=tendency_dim) @@ -186,36 +203,38 @@ def main(): logging.info("subtracting 'phys' tendency variable " "from all_tendencies to avoid double-counting") # use .data to avoid re-introducing tendency coordinate - all_tendencies = all_tendencies - tendencies_avg.sel({tendency_dim:"phys"}).data + all_tendencies = all_tendencies - \ + tendencies_avg.sel({tendency_dim: "phys"}).data # Calculate actual tendency of state variable. actual_tendency = actual_change / twindow_quantity - logging.info("subtract actual tendency from all_tendencies to get residual") + logging.info( + "subtract actual tendency from all_tendencies to get residual") resid = all_tendencies - actual_tendency - logging.debug("Define DataArray to plot (da2plot).") # Plot all tendencies. da2plot = tendencies_avg # Concatenate all_tendencies, actual_tendency, and resid DataArrays. # Give them a name and long_name along tendency_dim. - all_tendencies = all_tendencies.expand_dims({tendency_dim:["all"]}).assign_coords( - long_name="sum of tendencies") - actual_tendency = actual_tendency.expand_dims({tendency_dim:["actual"]}).assign_coords( - long_name=f"actual rate of change of {variable}") - resid = resid.expand_dims({tendency_dim:["resid"]}).assign_coords( - long_name=f"sum of tendencies - actual rate of change of {variable} (residual)") - da2plot = xarray.concat([da2plot, all_tendencies, actual_tendency, resid], dim=tendency_dim) + all_tendencies = all_tendencies.expand_dims({tendency_dim: ["all"]}).assign_coords( + long_name="sum of tendencies") + actual_tendency = actual_tendency.expand_dims({tendency_dim: ["actual"]}).assign_coords( + long_name=f"actual rate of change of {variable}") + resid = resid.expand_dims({tendency_dim: ["resid"]}).assign_coords( + long_name=f"sum of tendencies - actual rate of change of {variable} (residual)") + da2plot = xarray.concat( + [da2plot, all_tendencies, actual_tendency, resid], dim=tendency_dim) col = tendency_dim if da2plot.metpy.vertical.attrs["units"] == "mb": - da2plot.metpy.vertical.attrs["units"] = "hPa" # For MetPy. Otherwise, mb is interpreted as millibarn. + # For MetPy. Otherwise, mb is interpreted as millibarn. + da2plot.metpy.vertical.attrs["units"] = "hPa" # dequantify moves units from DataArray to attributes. Now they show up in colorbar. # And they aren't lost in xarray.DataArray.interp. da2plot = da2plot.metpy.dequantify() - # Make default dimensions of facetgrid kind of square. if not ncols: # Default # of cols is square root of # of panels @@ -225,22 +244,27 @@ def main(): # Avoid ValueError: ('grid_yt', 'grid_xt') must be a # permuted list of ('pfull', 'grid_yt', 'grid_xt'), unless `...` is included # Error occurs in pcolormesh(). - da2plot=da2plot.squeeze() + da2plot = da2plot.squeeze() # Kludgy steps to prepare metadata for metpy cross section - da2plot = da2plot.drop_vars(['grid_yt','grid_xt','long_name']).rename(dict(grid_yt="y",grid_xt="x")) # these confuse metpy + # grid_yt and grid_xt confuse metpy + da2plot = da2plot.drop_vars(['grid_yt', 'grid_xt', 'long_name']).rename( + dict(grid_yt="y", grid_xt="x")) # fv3 uses Extended Schmidt Gnomomic grid for regional applications. This is not in cartopy. # Found similar Lambert Conformal projection by trial and error. - da2plot = da2plot.metpy.assign_crs( grid_mapping_name="lambert_conformal_conic", standard_parallel=fv3["standard_parallel"], longitude_of_central_meridian=-97.5, latitude_of_projection_origin=fv3["standard_parallel"]).metpy.assign_y_x(force=True, tolerance=44069*units.m) + da2plot = da2plot.metpy.assign_crs(grid_mapping_name="lambert_conformal_conic", standard_parallel=fv3["standard_parallel"], longitude_of_central_meridian=- + 97.5, latitude_of_projection_origin=fv3["standard_parallel"]).metpy.assign_y_x(force=True, tolerance=44069*units.m) # Define cross section. Use different variable than da2plot because da2plot is used later for inset. # upgraded xarray to 0.21.1 to avoid FutureWarning: Passing method to Float64Index.get_loc is deprecated cross = cross_section(da2plot, startpt, endpt) - logging.info("plot pcolormesh") - w,h = 0.18, 0.18 # normalized width and height of inset. Shrink colorbar to provide space. + # normalized width and height of inset. Shrink colorbar to provide space. + w, h = 0.18, 0.18 + # robust (bool, optional) – If True and vmin or vmax are absent, the colormap range is computed with 2nd and 98th percentiles instead of the extreme values pc = cross.plot.pcolormesh(x="index", y="pfull", yincrease=False, col=col, col_wrap=ncols, robust=True, infer_intervals=True, - cmap=fv3["cmap"], cbar_kwargs={'shrink':1-h, 'anchor':(0,0.25-h)}) # robust (bool, optional) – If True and vmin or vmax are absent, the colormap range is computed with 2nd and 98th percentiles instead of the extreme values + vmin=vmin, vmax=vmax, cmap=fv3["cmap"], cbar_kwargs={'shrink': 1-h, 'anchor': (0, 0.25-h)}) + for ax in pc.axes.flat: ax.grid(visible=True, color="grey", alpha=0.5, lw=0.5) ax.xaxis.set_major_locator(MultipleLocator(dindex)) @@ -251,16 +275,19 @@ def main(): # Add time to title title = f'{time0}-{validtime} ({twindow_quantity.to("hours"):~} time window)' plt.suptitle(title, wrap=True) - # pad top and bottom for title and fineprint. Unfortunately, you must redefine right pad, as xarray no longer controls it. - plt.subplots_adjust(top=0.9,right=0.8,bottom=0.1) + # pad top and bottom for title and fineprint. Unfortunately, you must redefine right pad, as xarray no longer controls it. + plt.subplots_adjust(top=0.9, right=0.8, bottom=0.1) # Locate cross section on conus map background. Put in inset. data_crs = da2plot.metpy.cartopy_crs - ax_inset = plt.gcf().add_axes([.999-w,.999-h, w, h], projection=data_crs) + ax_inset = plt.gcf().add_axes([.999-w, .999-h, w, h], projection=data_crs) # Plot the endpoints of the cross section (make sure they match path) - endpoints = data_crs.transform_points(cartopy.crs.Geodetic(), *np.vstack([startpt, endpt]).transpose()[::-1]) - bb = ax_inset.scatter(endpoints[:, 0], endpoints[:, 1], s=1.3, c='k', zorder=2) - ax_inset.scatter(cross['x'][dindex::dindex], cross['y'][dindex::dindex], s=3.4, c='white', linewidths=0.2, edgecolors='k', zorder=bb.get_zorder()+1) + endpoints = data_crs.transform_points( + cartopy.crs.Geodetic(), *np.vstack([startpt, endpt]).transpose()[::-1]) + bb = ax_inset.scatter( + endpoints[:, 0], endpoints[:, 1], s=1.3, c='k', zorder=2) + ax_inset.scatter(cross['x'][dindex::dindex], cross['y'][dindex::dindex], + s=3.4, c='white', linewidths=0.2, edgecolors='k', zorder=bb.get_zorder()+1) # Plot the path of the cross section ax_inset.plot(cross['x'], cross['y'], c='k', zorder=2) physics_tend.add_conus_features(ax_inset) @@ -268,17 +295,18 @@ def main(): ax_inset.set_extent(extent) # Annotate figure with args namespace and timestamp - fineprint = f"{args} " + fineprint = f"{args} " fineprint += f", created {datetime.datetime.now(tz=None)}" if nofineprint: logging.debug(fineprint) else: logging.debug("add fineprint to image") - plt.figtext(0, 0, fineprint, fontsize='xx-small', va="bottom", wrap=True) - + plt.figtext(0, 0, fineprint, fontsize='xx-small', + va="bottom", wrap=True) plt.savefig(ofile, dpi=fv3["dpi"]) - logging.info('created %s',os.path.realpath(ofile)) + logging.info('created %s', os.path.realpath(ofile)) + if __name__ == "__main__": main() diff --git a/metplotpy/contributed/fv3_physics_tend/physics_tend.py b/metplotpy/contributed/fv3_physics_tend/physics_tend.py index e21444e0..491e5874 100644 --- a/metplotpy/contributed/fv3_physics_tend/physics_tend.py +++ b/metplotpy/contributed/fv3_physics_tend/physics_tend.py @@ -1,26 +1,31 @@ +"""Common functions for fv3_physics_tend""" +import logging +import os import cartopy.io.shapereader as shpreader import cartopy.feature as cfeature -import datetime -import logging import matplotlib.path import numpy as np -import os -import pandas as pd -from shapely.geometry import Point, multipolygon -#from tqdm import tqdm # progress bar +from shapely.geometry import multipolygon +# from tqdm import tqdm # progress bar import xarray -import yaml def add_conus_features(ax): - cl = ax.add_feature(cfeature.COASTLINE.with_scale('50m'), linewidth=0.3) - bd = ax.add_feature(cfeature.BORDERS.with_scale('50m'), linewidth=0.3) - st = ax.add_feature(cfeature.STATES.with_scale('50m'), linewidth=0.1) - lk = ax.add_feature(cfeature.LAKES.with_scale('50m'), edgecolor='k', linewidth=0.25, facecolor='k', alpha=0.1) - return (cl, bd, st, lk) + """ add borders """ + ax.add_feature(cfeature.COASTLINE.with_scale('50m'), linewidth=0.3) + ax.add_feature(cfeature.BORDERS.with_scale('50m'), linewidth=0.3) + ax.add_feature(cfeature.STATES.with_scale('50m'), linewidth=0.1) + ax.add_feature(cfeature.LAKES.with_scale( + '50m'), edgecolor='k', linewidth=0.25, facecolor='k', alpha=0.1) + return ax -def add_time0(ds, variable, fv3, interval=np.timedelta64(1,'h')): +def add_time0(ds, variable, fv3, interval=np.timedelta64(1, 'h')): + """ + Return new Dataset with time0 (initialization time) + Assume initialization time is "interval" before first time + in ds. Interval is 1 hour by default, but can be changed. + """ tendency_varnames = fv3["tendency_varnames"] time0_varname = fv3["time0_varname"] # This takes a while so only keep requested state variable and @@ -34,10 +39,11 @@ def add_time0(ds, variable, fv3, interval=np.timedelta64(1,'h')): # Assume initialization time is an interval before first time # in ds. Interval is 1 hour by default, but can be changed. time0 = ds.time.values[0] - interval - times = np.insert(ds.time.values,0,time0) # new time array + times = np.insert(ds.time.values, 0, time0) # new time array # Allocate new Dataset with additional time at time0 - coords = dict(ds.coords) # extract ds.coords as dictionary so it can be changed. - coords.update(dict(time=times)) + # extract ds.coords as dictionary so it can be changed. + coords = dict(ds.coords) + coords.update({"time":times}) data_vars = {} dims = ds[variable].dims # state variable at time0 and other times @@ -46,7 +52,7 @@ def add_time0(ds, variable, fv3, interval=np.timedelta64(1,'h')): data_vars[variable] = (dims, data) # tendency=0 at time0 logging.info(f"Adding time0 to {variable}. This could take a while...") - #for tendency in tqdm(tendency_varnames[variable]): + # for tendency in tqdm(tendency_varnames[variable]): for tendency in tendency_varnames[variable]: logging.debug(tendency) dims = ds[tendency].dims @@ -59,7 +65,8 @@ def add_time0(ds, variable, fv3, interval=np.timedelta64(1,'h')): ds0[da].attrs = ds[da].attrs return ds0 -def pts_in_shp(lats, lons, shp, debug=False): + +def pts_in_shp(lats, lons, shp): # Map longitude to -180 to +180 range lons = np.where(lons > 180, lons-360, lons) # If shp is a directory, point to .shp file of same name in it. @@ -67,7 +74,8 @@ def pts_in_shp(lats, lons, shp, debug=False): if os.path.isdir(shp): shp = shp + "/" + os.path.basename(shp) + ".shp" shape = shpreader.Reader(shp) - ll_array = np.hstack((lons.flatten()[:,np.newaxis],lats.flatten()[:,np.newaxis])) + ll_array = np.hstack( + (lons.flatten()[:, np.newaxis], lats.flatten()[:, np.newaxis])) mask = np.full(lats.flatten().shape, False) # How to make shapefile for EAST_CONUS (CONUS east of 105W) # import shapefile @@ -79,20 +87,21 @@ def pts_in_shp(lats, lons, shp, debug=False): # shape.to_file("EAST_CONUS") # It is as simple as that. - # This seems kind of hacky. Can you recurse through a mixture of Polygons and Multipolygons more elegantly? + # This seems kind of hacky. + # Can you recurse through a mixture of Polygons and Multipolygons more elegantly? # Tried geopandas read_shape . geometry but it was no more elegant. for g in shape.geometries(): logging.debug(f"{__name__} pts_in_shp area {g.area}") # How to deal with 3-D polygons (i.e. POLYGON Z)? some shape files are 3D. - if g.has_z: - logging.error(f"Uh oh. shape geometry has z-coordinate in {shp}") - logging.error("I don't know how to process 3-D polygons (i.e. POLYGON Z).") - sys.exit(1) + assert not g.has_z, (f"Uh oh. shape geometry has z-coordinate in {shp}" + "I don't know how to process 3-D polygons (i.e. POLYGON Z).") if isinstance(g, multipolygon.MultiPolygon): for mp in g.geoms: - mask = mask | matplotlib.path.Path(mp.exterior.coords).contains_points(ll_array) + mask = mask | matplotlib.path.Path( + mp.exterior.coords).contains_points(ll_array) else: - mask = mask | matplotlib.path.Path(g.exterior.coords).contains_points(ll_array) - logging.debug(f"pts_in_shp: {mask.sum()} points") + mask = mask | matplotlib.path.Path( + g.exterior.coords).contains_points(ll_array) + logging.debug("pts_in_shp: %s points", mask.sum()) shape.close() return np.reshape(mask, lats.shape) diff --git a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py index 03a168c4..4042b1a7 100644 --- a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py @@ -20,38 +20,47 @@ def parse_args(): # =============Arguments=================== parser = argparse.ArgumentParser( - description = "Plan view of FV3 diagnostic tendency", - formatter_class=argparse.ArgumentDefaultsHelpFormatter) + description="Plan view of FV3 diagnostic tendency", + formatter_class=argparse.ArgumentDefaultsHelpFormatter) # ==========Mandatory Arguments=================== parser.add_argument("config", help="yaml configuration file") parser.add_argument("historyfile", help="FV3 history file") parser.add_argument("gridfile", help="FV3 grid spec file") - parser.add_argument("statevariable", help="moisture, temperature, or wind component variable name") - parser.add_argument("fill", help='type of tendency. ignored if pfull is a single level') + parser.add_argument( + "statevariable", help="moisture, temperature, or wind component variable name") + parser.add_argument( + "fill", help='type of tendency. ignored if pfull is a single level') # ==========Optional Arguments=================== parser.add_argument("-d", "--debug", action='store_true') - parser.add_argument("--method", choices=["nearest", "linear","loglinear"], default="nearest", - help="vertical interpolation method") - parser.add_argument("--ncols", type=int, default=None, help="number of columns") + parser.add_argument("--method", choices=["nearest", "linear", "loglinear"], default="nearest", + help="vertical interpolation method") + parser.add_argument("--ncols", type=int, default=None, + help="number of columns") parser.add_argument("--nofineprint", action='store_true', - help="Don't add metadata and created by date (for comparing images)") + help="Don't add metadata and created by date (for comparing images)") parser.add_argument("--norobust", action='store_true', - help="compute colormap range with extremes, not 2nd and 98th percentiles") + help="compute colormap range with extremes, not 2nd and 98th percentiles") parser.add_argument("-o", "--ofile", help="name of output image file") parser.add_argument("-p", "--pfull", nargs='+', type=float, - default=[1000,925,850,700,500,300,200,100,0], - help=("pressure level(s) in hPa to plot. " - "If only one pressure level is provided, the type-of-tendency " - "argument will be ignored and all tendencies will be plotted.") - ) + default=[1000, 925, 850, 700, 500, 300, 200, 100, 0], + help=("pressure level(s) in hPa to plot. " + "If only one pressure level is provided, the type-of-tendency " + "argument will be ignored and all tendencies will be plotted.") + ) parser.add_argument("-s", "--shp", help="shape file directory for mask") parser.add_argument("--subtract", help="FV3 history file to subtract") - parser.add_argument("-t", "--twindow", type=float, default=3, help="time window in hours") + parser.add_argument("-t", "--twindow", type=float, + default=3, help="time window in hours") parser.add_argument("-v", "--validtime", help="valid time") + parser.add_argument("--vmin", type=float, + help="color bar minimum (overrides robust=True)") + parser.add_argument("--vmax", type=float, + help="color bar maximum (overrides robust=True)") args = parser.parse_args() return args + def main(): """ Plan view of tendencies of t, q, u, or v from physics parameterizations, dynamics (non-physics), @@ -59,23 +68,25 @@ def main(): the actual tendency, and the residual. Residual is the sum of all tendencies minus the actual tendency. """ args = parse_args() - gfile = args.gridfile - ifile = args.historyfile - variable = args.statevariable - fill = args.fill - config = args.config - debug = args.debug - method = args.method - ncols = args.ncols - nofineprint= args.nofineprint - ofile = args.ofile - pfull = args.pfull * units.hPa - robust = not args.norobust - shp = args.shp - subtract = args.subtract - twindow = datetime.timedelta(hours = args.twindow) + gfile = args.gridfile + ifile = args.historyfile + variable = args.statevariable + fill = args.fill + config = args.config + debug = args.debug + method = args.method + ncols = args.ncols + nofineprint = args.nofineprint + ofile = args.ofile + pfull = args.pfull * units.hPa + robust = not args.norobust + shp = args.shp + subtract = args.subtract + twindow = datetime.timedelta(hours=args.twindow) twindow_quantity = twindow.total_seconds() * units.seconds - validtime = pd.to_datetime(args.validtime) + validtime = pd.to_datetime(args.validtime) + vmin = args.vmin + vmax = args.vmax level = logging.INFO if debug: @@ -91,17 +102,17 @@ def main(): ofile = os.path.realpath(args.ofile) odir = os.path.dirname(ofile) if not os.path.exists(odir): - logging.info(f"output directory {odir} does not exist. Creating it") + logging.info( + f"output directory {odir} does not exist. Creating it") os.mkdir(odir) logging.info("output filename=%s", ofile) - # Reload fv3 in case user specifies a custom --config file fv3 = yaml.load(open(config, encoding="utf8"), Loader=yaml.FullLoader) # Read lat/lon/area from gfile logging.debug(f"read lat/lon/area from {gfile}") - gds = xarray.open_dataset(gfile) + gds = xarray.open_dataset(gfile) lont = gds[fv3["lon_name"]] latt = gds[fv3["lat_name"]] area = gds["area"] @@ -118,7 +129,8 @@ def main(): datetimeindex = datetimeindex.to_datetimeindex(unsafe=True) ragged_times = datetimeindex != datetimeindex.round('1ms') if any(ragged_times): - logging.info(f"round times to nearest millisecond. before: {datetimeindex[ragged_times].values}") + logging.info( + f"round times to nearest millisecond. before: {datetimeindex[ragged_times].values}") datetimeindex = datetimeindex.round('1ms') logging.info(f"after: {datetimeindex[ragged_times].values}") fv3ds['time'] = datetimeindex @@ -127,14 +139,15 @@ def main(): with xarray.set_options(keep_attrs=True): fv3ds -= xarray.open_dataset(subtract) - fv3ds = fv3ds.assign_coords(lont=lont, latt=latt) # lont and latt used by pcolorfill() + # lont and latt used by pcolorfill() + fv3ds = fv3ds.assign_coords(lont=lont, latt=latt) if validtime is None: validtime = fv3ds.time.values[-1] validtime = pd.to_datetime(validtime) logging.info( - "validtime not provided on command line. Using last time in history file %s.", - validtime) + "validtime not provided on command line. Using last time in history file %s.", + validtime) time0 = validtime - twindow if time0 not in fv3ds.time: logging.info("time0 %s not in history file. add it.", time0) @@ -142,7 +155,7 @@ def main(): # list of tendency variable names for requested state variable tendency_vars = fv3["tendency_varnames"][variable] - tendencies = fv3ds[tendency_vars] # subset of original Dataset + tendencies = fv3ds[tendency_vars] # subset of original Dataset # convert DataArrays to Quantities to protect units. DataArray.mean drops units attribute. tendencies = tendencies.metpy.quantify() @@ -152,39 +165,41 @@ def main(): # That way, slice(time_after_time0, validtime) has a time range of [time0,validtime]. idx_first_time_after_time0 = (fv3ds.time > time0).argmax() time_after_time0 = fv3ds.time[idx_first_time_after_time0] - tindex = {"time":slice(time_after_time0, validtime)} - logging.debug("Time-weighted mean tendencies for time index slice %s", tindex) + tindex = {"time": slice(time_after_time0, validtime)} + logging.debug( + "Time-weighted mean tendencies for time index slice %s", tindex) timeweights = fv3ds.time.diff("time").sel(tindex) time_weighted_tendencies = tendencies.sel(tindex) * timeweights - tendencies_avg = time_weighted_tendencies.sum(dim="time") / timeweights.sum(dim="time") + tendencies_avg = time_weighted_tendencies.sum( + dim="time") / timeweights.sum(dim="time") # Make list of long_names before .to_array() loses them. long_names = [fv3ds[da].attrs["long_name"] for da in tendencies_avg] # Keep characters after final underscore. The first part is redundant. # for example dtend_u_pbl -> pbl - name_dict = {da : "_".join(da.split("_")[-1:]) for da in tendencies_avg.data_vars} + name_dict = {da: "_".join(da.split("_")[-1:]) + for da in tendencies_avg.data_vars} logging.info("rename %s", name_dict) tendencies_avg = tendencies_avg.rename(name_dict) - # Stack variables along new tendency dimension of new DataArray. tendency_dim = f"{variable} tendency" tendencies_avg = tendencies_avg.to_array(dim=tendency_dim) # Assign long_names to a new DataArray coordinate. # It will have the same shape as tendency dimension. - tendencies_avg = tendencies_avg.assign_coords({"long_name":(tendency_dim,long_names)}) + tendencies_avg = tendencies_avg.assign_coords( + {"long_name": (tendency_dim, long_names)}) logging.info("calculate actual change in %s", variable) # Tried metpy.quantify() with open_dataset, but # pint.errors.UndefinedUnitError: 'dBz' is not defined in the unit registry state_variable = fv3ds[variable].metpy.quantify() - actual_change = state_variable.sel(time = validtime) - state_variable.sel( - time=time0, method="nearest", tolerance=datetime.timedelta(milliseconds=1)) + actual_change = state_variable.sel(time=validtime) - state_variable.sel( + time=time0, method="nearest", tolerance=datetime.timedelta(milliseconds=1)) actual_change = actual_change.assign_coords(time=validtime) actual_change.attrs["long_name"] = f"actual change in {state_variable.attrs['long_name']}" - # Sum all tendencies (physics and non-physics) all_tendencies = tendencies_avg.sum(dim=tendency_dim) @@ -194,42 +209,45 @@ def main(): logging.info("subtracting 'phys' tendency variable " "from all_tendencies to avoid double-counting") # use .data to avoid re-introducing tendency coordinate - all_tendencies = all_tendencies - tendencies_avg.sel({tendency_dim:"phys"}).data + all_tendencies = all_tendencies - \ + tendencies_avg.sel({tendency_dim: "phys"}).data # Calculate actual tendency of state variable. actual_tendency = actual_change / twindow_quantity - logging.info("subtract actual tendency from all_tendencies to get residual") + logging.info( + "subtract actual tendency from all_tendencies to get residual") resid = all_tendencies - actual_tendency - logging.debug("Define DataArray to plot (da2plot).") if len(pfull) == 1: # If only 1 pressure level was requested, plot all tendencies. da2plot = tendencies_avg # Concatenate all_tendencies, actual_tendency, and resid DataArrays. # Give them a name and long_name along tendency_dim. - all_tendencies = all_tendencies.expand_dims({tendency_dim:["all"]}).assign_coords( - long_name="sum of tendencies") - actual_tendency = actual_tendency.expand_dims({tendency_dim:["actual"]}).assign_coords( - long_name=f"actual rate of change of {variable}") - resid = resid.expand_dims({tendency_dim:["resid"]}).assign_coords( - long_name=f"sum of tendencies - actual rate of change of {variable} (residual)") - da2plot = xarray.concat([da2plot, all_tendencies, actual_tendency, resid], dim=tendency_dim) + all_tendencies = all_tendencies.expand_dims({tendency_dim: ["all"]}).assign_coords( + long_name="sum of tendencies") + actual_tendency = actual_tendency.expand_dims({tendency_dim: ["actual"]}).assign_coords( + long_name=f"actual rate of change of {variable}") + resid = resid.expand_dims({tendency_dim: ["resid"]}).assign_coords( + long_name=f"sum of tendencies - actual rate of change of {variable} (residual)") + da2plot = xarray.concat( + [da2plot, all_tendencies, actual_tendency, resid], dim=tendency_dim) col = tendency_dim else: # otherwise pick a DataArray (resid, state_variable, actual_tendency, tendency) col = "pfull" - if fill == 'resid': # residual + if fill == 'resid': # residual da2plot = resid - elif fill == "": # plain-old state variable + elif fill == "": # plain-old state variable da2plot = state_variable.sel(time=validtime) - elif fill == "d"+variable: # actual change in state variable + elif fill == "d"+variable: # actual change in state variable da2plot = actual_tendency - else: # expected change in state variable from tendencies - da2plot = tendencies_avg.sel({tendency_dim:fill}) + else: # expected change in state variable from tendencies + da2plot = tendencies_avg.sel({tendency_dim: fill}) if da2plot.metpy.vertical.attrs["units"] == "mb": - da2plot.metpy.vertical.attrs["units"] = "hPa" # For MetPy. Otherwise, mb is interpreted as millibarn. + # For MetPy. Otherwise, mb is interpreted as millibarn. + da2plot.metpy.vertical.attrs["units"] = "hPa" # dequantify moves units from DataArray to attributes. Now they show up in colorbar. # And they aren't lost in xarray.DataArray.interp. @@ -237,22 +255,25 @@ def main(): # Select vertical levels. if method == "nearest": - da2plot = da2plot.metpy.sel(vertical=pfull, method=method, tolerance=10.*units.hPa) + da2plot = da2plot.metpy.sel( + vertical=pfull, method=method, tolerance=10.*units.hPa) elif method == "linear": - da2plot = da2plot.interp(coords={"pfull":pfull}, method=method) - elif method == "loglinear": # interpolate in log10(pressure) + da2plot = da2plot.interp(coords={"pfull": pfull}, method=method) + elif method == "loglinear": # interpolate in log10(pressure) da2plot["pfull"] = np.log10(da2plot.pfull) - da2plot = da2plot.interp(coords={"pfull":np.log10(pfull.m)}, method="linear") + da2plot = da2plot.interp( + coords={"pfull": np.log10(pfull.m)}, method="linear") da2plot["pfull"] = 10**da2plot.pfull - # Mask points outside shape. if shp is not None: # Use .values to avoid AttributeError: 'DataArray' object has no attribute 'flatten' - mask = physics_tend.pts_in_shp(latt.values, lont.values, shp, debug=debug) - mask = xarray.DataArray(mask, coords=[da2plot.grid_yt, da2plot.grid_xt]) + mask = physics_tend.pts_in_shp( + latt.values, lont.values, shp, debug=debug) + mask = xarray.DataArray( + mask, coords=[da2plot.grid_yt, da2plot.grid_xt]) da2plot = da2plot.where(mask, drop=True) - area = area.where(mask).fillna(0) + area = area.where(mask).fillna(0) totalarea = area.metpy.convert_units("km**2").sum() @@ -265,22 +286,20 @@ def main(): # Avoid ValueError: ('grid_yt', 'grid_xt') must be a # permuted list of ('pfull', 'grid_yt', 'grid_xt'), unless `...` is included # Error occurs in pcolormesh(). - da2plot=da2plot.squeeze() - + da2plot = da2plot.squeeze() # central lon/lat from https://github.com/NOAA-EMC/regional_workflow/blob/ - #release/public-v1/ush/Python/plot_allvars.py + # release/public-v1/ush/Python/plot_allvars.py subplot_kws = { - "projection":cartopy.crs.LambertConformal( - central_longitude=-97.6, central_latitude=35.4, standard_parallels=None)} - + "projection": cartopy.crs.LambertConformal( + central_longitude=-97.6, central_latitude=35.4, standard_parallels=None)} logging.debug("plot pcolormesh") if robust: logging.warning("compute colormap range with 2nd and 98th percentiles") pcm = da2plot.plot.pcolormesh(x="lont", y="latt", col=col, col_wrap=ncols, robust=robust, - infer_intervals=True, transform=cartopy.crs.PlateCarree(), - cmap=fv3["cmap"], cbar_kwargs={'shrink':0.8}, subplot_kws=subplot_kws) + infer_intervals=True, transform=cartopy.crs.PlateCarree(), + vmin=vmin, vmax=vmax, cmap=fv3["cmap"], cbar_kwargs={'shrink': 0.8}, subplot_kws=subplot_kws) for ax in pcm.axes.flat: # Why needed only when col=tendency_dim? With col="pfull" it shrinks to unmasked size. ax.set_extent(fv3["extent"]) @@ -295,17 +314,18 @@ def main(): plt.suptitle(title, wrap=True) # Annotate figure with args namespace, total area, and timestamp - fineprint = f"{args} " + fineprint = f"{args} " fineprint += f"total area={totalarea.data:~.0f}, created {datetime.datetime.now(tz=None)}" if nofineprint: logging.debug(fineprint) else: logging.debug("add fineprint to image") - plt.figtext(0, 0, fineprint, fontsize='xx-small', va="bottom", wrap=True) - + plt.figtext(0, 0, fineprint, fontsize='xx-small', + va="bottom", wrap=True) plt.savefig(ofile, dpi=fv3["dpi"]) - logging.info('created %s',os.path.realpath(ofile)) + logging.info('created %s', os.path.realpath(ofile)) + def default_ofile(args): """ @@ -313,7 +333,7 @@ def default_ofile(args): """ pfull = args.pfull * units.hPa if len(pfull) == 1: - pfull_str = f"{pfull[0]:~.0f}".replace(" ","") + pfull_str = f"{pfull[0]:~.0f}".replace(" ", "") ofile = f"{args.statevariable}_{pfull_str}.png" else: ofile = f"{args.fill}.png" diff --git a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py index e58bfb5a..04861230 100644 --- a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py @@ -7,7 +7,6 @@ import matplotlib.pyplot as plt from matplotlib.ticker import MultipleLocator from metpy.units import units -import numpy as np import pandas as pd import xarray import yaml @@ -21,22 +20,25 @@ def parse_args(): # =============Arguments=================== parser = argparse.ArgumentParser( - description = "Vertical profile of FV3 diagnostic tendencies", - formatter_class=argparse.ArgumentDefaultsHelpFormatter) + description="Vertical profile of FV3 diagnostic tendencies", + formatter_class=argparse.ArgumentDefaultsHelpFormatter) # ==========Mandatory Arguments=================== parser.add_argument("config", help="yaml configuration file") parser.add_argument("historyfile", help="FV3 history file") parser.add_argument("gridfile", help="FV3 grid spec file") - parser.add_argument("statevariable", help="moisture, temperature, or wind component variable name") + parser.add_argument( + "statevariable", help="moisture, temperature, or wind component variable name") # ==========Optional Arguments=================== parser.add_argument("-d", "--debug", action='store_true') parser.add_argument("--nofineprint", action='store_true', - help="Don't add metadata and created by date (for comparing images)") + help="Don't add metadata and created by date (for comparing images)") parser.add_argument("-o", "--ofile", help="name of output image file") - parser.add_argument("--resid", action="store_true", help="calculate residual") + parser.add_argument("--resid", action="store_true", + help="calculate residual") parser.add_argument("-s", "--shp", help="shape file directory for mask") parser.add_argument("--subtract", help="FV3 history file to subtract") - parser.add_argument("-t", "--twindow", type=float, default=3, help="time window in hours") + parser.add_argument("-t", "--twindow", type=float, + default=3, help="time window in hours") parser.add_argument("-v", "--validtime", help="valid time") parser.add_argument("--xmin", type=float, help="x-axis minimum") parser.add_argument("--xmax", type=float, help="x-axis maximum") @@ -44,30 +46,31 @@ def parse_args(): args = parser.parse_args() return args + def main(): """ - Vertical profile of tendencies of t, q, u, or v from physics parameterizations, dynamics (non-physics), - the combination of all tendencies (physics and non-physics), - the actual tendency, and the residual. Residual is the sum of all tendencies minus the actual tendency. + Vertical profile of tendencies of t, q, u, or v from physics parameterizations, + dynamics (non-physics), the combination of all tendencies (physics and non-physics), + the actual tendency, and the residual. Residual is the sum of all tendencies minus the + actual tendency. """ args = parse_args() - gfile = args.gridfile - ifile = args.historyfile - variable = args.statevariable - config = args.config - debug = args.debug - nofineprint= args.nofineprint - ofile = args.ofile - shp = args.shp - subtract = args.subtract - twindow = datetime.timedelta(hours = args.twindow) + gfile = args.gridfile + ifile = args.historyfile + variable = args.statevariable + config = args.config + nofineprint = args.nofineprint + ofile = args.ofile + shp = args.shp + subtract = args.subtract + twindow = datetime.timedelta(hours=args.twindow) twindow_quantity = twindow.total_seconds() * units.seconds - validtime = pd.to_datetime(args.validtime) - xmin = args.xmin - xmax = args.xmax + validtime = pd.to_datetime(args.validtime) + xmin = args.xmin + xmax = args.xmax level = logging.INFO - if debug: + if args.debug: level = logging.DEBUG # prepend log message with time logging.basicConfig(format='%(asctime)s - %(message)s', level=level) @@ -86,17 +89,17 @@ def main(): ofile = os.path.realpath(args.ofile) odir = os.path.dirname(ofile) if not os.path.exists(odir): - logging.info(f"output directory {odir} does not exist. Creating it") + logging.info( + f"output directory {odir} does not exist. Creating it") os.mkdir(odir) logging.info("output filename=%s", ofile) - # Reload fv3 in case user specifies a custom --config file fv3 = yaml.load(open(config, encoding="utf8"), Loader=yaml.FullLoader) # Read lat/lon/area from gfile logging.debug(f"read lat/lon/area from {gfile}") - gds = xarray.open_dataset(gfile) + gds = xarray.open_dataset(gfile) lont = gds[fv3["lon_name"]] latt = gds[fv3["lat_name"]] area = gds["area"] @@ -113,7 +116,8 @@ def main(): datetimeindex = datetimeindex.to_datetimeindex(unsafe=True) ragged_times = datetimeindex != datetimeindex.round('1ms') if any(ragged_times): - logging.info(f"round times to nearest millisecond. before: {datetimeindex[ragged_times].values}") + logging.info( + f"round times to nearest millisecond. before: {datetimeindex[ragged_times].values}") datetimeindex = datetimeindex.round('1ms') logging.info(f"after: {datetimeindex[ragged_times].values}") fv3ds['time'] = datetimeindex @@ -122,14 +126,15 @@ def main(): with xarray.set_options(keep_attrs=True): fv3ds -= xarray.open_dataset(subtract) - fv3ds = fv3ds.assign_coords(lont=lont, latt=latt) # lont and latt used by pcolorfill() + # lont and latt used by pcolorfill() + fv3ds = fv3ds.assign_coords(lont=lont, latt=latt) if validtime is None: validtime = fv3ds.time.values[-1] validtime = pd.to_datetime(validtime) logging.info( - "validtime not provided on command line. Using last time in history file %s.", - validtime) + "validtime not provided on command line. Using last time in history file %s.", + validtime) time0 = validtime - twindow if time0 not in fv3ds.time: logging.info("time0 %s not in history file. add it.", time0) @@ -137,7 +142,7 @@ def main(): # list of tendency variable names for requested state variable tendency_vars = fv3["tendency_varnames"][variable] - tendencies = fv3ds[tendency_vars] # subset of original Dataset + tendencies = fv3ds[tendency_vars] # subset of original Dataset # convert DataArrays to Quantities to protect units. DataArray.mean drops units attribute. tendencies = tendencies.metpy.quantify() @@ -147,39 +152,41 @@ def main(): # That way, slice(time_after_time0, validtime) has a time range of [time0,validtime]. idx_first_time_after_time0 = (fv3ds.time > time0).argmax() time_after_time0 = fv3ds.time[idx_first_time_after_time0] - tindex = {"time":slice(time_after_time0, validtime)} - logging.debug("Time-weighted mean tendencies for time index slice %s", tindex) + tindex = {"time": slice(time_after_time0, validtime)} + logging.debug( + "Time-weighted mean tendencies for time index slice %s", tindex) timeweights = fv3ds.time.diff("time").sel(tindex) time_weighted_tendencies = tendencies.sel(tindex) * timeweights - tendencies_avg = time_weighted_tendencies.sum(dim="time") / timeweights.sum(dim="time") + tendencies_avg = time_weighted_tendencies.sum( + dim="time") / timeweights.sum(dim="time") # Make list of long_names before .to_array() loses them. long_names = [fv3ds[da].attrs["long_name"] for da in tendencies_avg] # Keep characters after final underscore. The first part is redundant. # for example dtend_u_pbl -> pbl - name_dict = {da : "_".join(da.split("_")[-1:]) for da in tendencies_avg.data_vars} + name_dict = {da: "_".join(da.split("_")[-1:]) + for da in tendencies_avg.data_vars} logging.info("rename %s", name_dict) tendencies_avg = tendencies_avg.rename(name_dict) - # Stack variables along new tendency dimension of new DataArray. tendency_dim = f"{variable} tendency" tendencies_avg = tendencies_avg.to_array(dim=tendency_dim) # Assign long_names to a new DataArray coordinate. # It will have the same shape as tendency dimension. - tendencies_avg = tendencies_avg.assign_coords({"long_name":(tendency_dim,long_names)}) + tendencies_avg = tendencies_avg.assign_coords( + {"long_name": (tendency_dim, long_names)}) logging.info("calculate actual change in %s", variable) # Tried metpy.quantify() with open_dataset, but # pint.errors.UndefinedUnitError: 'dBz' is not defined in the unit registry state_variable = fv3ds[variable].metpy.quantify() - actual_change = state_variable.sel(time = validtime) - state_variable.sel( - time=time0, method="nearest", tolerance=datetime.timedelta(milliseconds=1)) + actual_change = state_variable.sel(time=validtime) - state_variable.sel( + time=time0, method="nearest", tolerance=datetime.timedelta(milliseconds=1)) actual_change = actual_change.assign_coords(time=validtime) actual_change.attrs["long_name"] = f"actual change in {state_variable.attrs['long_name']}" - # Sum all tendencies (physics and non-physics) all_tendencies = tendencies_avg.sum(dim=tendency_dim) @@ -189,62 +196,66 @@ def main(): logging.info("subtracting 'phys' tendency variable " "from all_tendencies to avoid double-counting") # use .data to avoid re-introducing tendency coordinate - all_tendencies = all_tendencies - tendencies_avg.sel({tendency_dim:"phys"}).data + all_tendencies = all_tendencies - \ + tendencies_avg.sel({tendency_dim: "phys"}).data # Calculate actual tendency of state variable. actual_tendency = actual_change / twindow_quantity - logging.info("subtract actual tendency from all_tendencies to get residual") + logging.info( + "subtract actual tendency from all_tendencies to get residual") resid = all_tendencies - actual_tendency - logging.debug("Define DataArray to plot (da2plot).") da2plot = tendencies_avg if args.resid: # Add all_tendencies and resid DataArrays to tendency_dim. - all_tendencies = all_tendencies.expand_dims({tendency_dim:["all"]}).assign_coords( - long_name="sum of tendencies") - actual_tendency = actual_tendency.expand_dims({tendency_dim:["actual"]}).assign_coords( - long_name=f"actual rate of change of {variable}") - resid = resid.expand_dims({tendency_dim:["resid"]}).assign_coords( - long_name=f"sum of tendencies - actual rate of change of {variable} (residual)") - da2plot = xarray.concat([da2plot, all_tendencies, actual_tendency, resid], dim=tendency_dim) - - # Put units in attributes so they show up in xlabel. - da2plot = da2plot.metpy.dequantify() + all_tendencies = all_tendencies.expand_dims({tendency_dim: ["all"]}).assign_coords( + long_name="sum of tendencies") + actual_tendency = actual_tendency.expand_dims({tendency_dim: ["actual"]}).assign_coords( + long_name=f"actual rate of change of {variable}") + resid = resid.expand_dims({tendency_dim: ["resid"]}).assign_coords( + long_name=f"sum of tendencies - actual rate of change of {variable} (residual)") + da2plot = xarray.concat( + [da2plot, all_tendencies, actual_tendency, resid], dim=tendency_dim) # Mask points outside shape. if shp is not None: # Use .values to avoid AttributeError: 'DataArray' object has no attribute 'flatten' - mask = physics_tend.pts_in_shp(latt.values, lont.values, shp, debug=debug) - mask = xarray.DataArray(mask, coords=[da2plot.grid_yt, da2plot.grid_xt]) + mask = physics_tend.pts_in_shp( + latt.values, lont.values, shp) + mask = xarray.DataArray( + mask, coords=[da2plot.grid_yt, da2plot.grid_xt]) da2plot = da2plot.where(mask, drop=True) - area = area.where(mask).fillna(0) + area = area.where(mask).fillna(0) totalarea = area.metpy.convert_units("km**2").sum() logging.info("area-weighted spatial average") da2plot = da2plot.weighted(area).mean(area.dims) - + # Put units in attributes so they show up in xlabel. + # dequantify after area-weighted mean to preserve units. + da2plot = da2plot.metpy.dequantify() logging.info("creating figure") - fig, ax = plt.subplots() - plt.subplots_adjust(bottom=0.18) # add space at bottom for fine print - ax.invert_yaxis() # pressure increases from top to bottom + _, ax = plt.subplots() + plt.subplots_adjust(bottom=0.18) # add space at bottom for fine print + ax.invert_yaxis() # pressure increases from top to bottom ax.grid(visible=True, color="grey", alpha=0.5, lw=0.5) ax.yaxis.set_major_locator(MultipleLocator(100)) ax.yaxis.set_minor_locator(MultipleLocator(25)) ax.grid(which='minor', alpha=0.3, lw=0.4) - logging.info("plot area-weighted spatial average...") - lines = da2plot.plot.line(y="pfull", ax=ax, xlim=(xmin,xmax), hue=tendency_dim) + lines = da2plot.plot.line( + y="pfull", ax=ax, xlim=(xmin, xmax), hue=tendency_dim) if args.resid: # Add special marker to actual_change and residual lines. - # DataArray plot legend handles differ from the plot lines, for some reason. So if you + # DataArray plot legend handles differ from the plot lines, for some reason. So if you # change the style of a line later, it is not automatically changed in the legend. - # zip d{variable}, resid line and their respective legend handles together and change their style together. + # zip d{variable}, resid line and their respective legend handles together and change + # their style together. # [-2:] means take last two elements of da2plot. special_lines = list(zip(lines, ax.get_legend().legendHandles))[-2:] special_marker = 'o' @@ -261,32 +272,36 @@ def main(): if shp is not None: # Locate region of interest on conus map background. Put in inset. - projection = cartopy.crs.LambertConformal(central_longitude=-97.5, central_latitude=fv3["standard_parallel"]) - ax_inset = plt.gcf().add_axes([.7, .001, .19, .13], projection=projection) + projection = cartopy.crs.LambertConformal( + central_longitude=-97.5, central_latitude=fv3["standard_parallel"]) + ax_inset = plt.gcf().add_axes( + [.7, .001, .19, .13], projection=projection) # astype(int) to avoid TypeError: numpy boolean subtract - cbar_kwargs = dict(ticks=[0.25,0.75],shrink=0.6) + cbar_kwargs = {"ticks":[0.25, 0.75], "shrink":0.6} pc = mask.assign_coords(lont=lont, latt=latt).astype(int).plot.pcolormesh( - ax=ax_inset, x="lont", y="latt", infer_intervals=True, - transform=cartopy.crs.PlateCarree(), cmap=plt.cm.get_cmap('cool',2), - add_labels=False, cbar_kwargs=cbar_kwargs) - pc.colorbar.ax.set_yticklabels(["masked","valid"], fontsize='xx-small') + ax=ax_inset, x="lont", y="latt", infer_intervals=True, + transform=cartopy.crs.PlateCarree(), cmap=plt.cm.get_cmap('cool', 2), + add_labels=False, cbar_kwargs=cbar_kwargs) + pc.colorbar.ax.set_yticklabels( + ["masked", "valid"], fontsize='xx-small') pc.colorbar.outline.set_visible(False) physics_tend.add_conus_features(ax_inset) extent = fv3["extent"] ax_inset.set_extent(extent) # Annotate figure with args namespace, total area, and timestamp - fineprint = f"{args} " + fineprint = f"{args} " fineprint += f"total area={totalarea.data:~.0f}, created {datetime.datetime.now(tz=None)}" if nofineprint: logging.debug(fineprint) else: logging.debug("add fineprint to image") - plt.figtext(0, 0, fineprint, fontsize='xx-small', va="bottom", wrap=True) - + plt.figtext(0, 0, fineprint, fontsize='xx-small', + va="bottom", wrap=True) plt.savefig(ofile, dpi=fv3["dpi"]) - logging.info('created %s',os.path.realpath(ofile)) + logging.info('created %s', os.path.realpath(ofile)) + if __name__ == "__main__": main() From 77509a9775ff09c5617863386c66a1073af334e4 Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Thu, 3 Aug 2023 12:07:29 -0600 Subject: [PATCH 06/32] Widen table columns new variable names add table for derived tendencies note about time window starting at initialization time and dealing with it by appending state variables at time0. --- docs/Users_Guide/fv3_physics.rst | 161 +++++++++++++++++-------------- 1 file changed, 89 insertions(+), 72 deletions(-) diff --git a/docs/Users_Guide/fv3_physics.rst b/docs/Users_Guide/fv3_physics.rst index 19700858..8d1eb4b1 100644 --- a/docs/Users_Guide/fv3_physics.rst +++ b/docs/Users_Guide/fv3_physics.rst @@ -9,9 +9,10 @@ and spatial domain. Tendencies are partitioned into physics parameterizations an dynamics. Physics parameterizations include schemes like deep convection, convective gravity wave drag, short wave radiation, planetary boundary layer, microphysics, and others listed below. Non-physics tendencies (or dynamics) are due to horizontal -and vertical motion. The residual (which should be zero) is the difference between +and vertical motion (advection). The residual (which should be close to zero) is the +difference between the actual change in the state variable over the requested time window and the -expected change due to physics parameterizations and dynamics tendencies. One can plot +combined change due to all physics parameterizations and dynamics tendencies. One can plot a single tendency component at multiple pressure levels or plot all tendency components at a single pressure level. Plan views (horizontal cross sections), vertical profiles, and difference plots are also available. @@ -19,7 +20,7 @@ and difference plots are also available. Required Packages: ================== -* cartopy (0.20.3 only) +* cartopy * matplotlib @@ -53,73 +54,76 @@ For additional details see `grid description in UFS Short Range Weather App user Available Tendency Variables ---------------------------- -A small description of each tendency variable and their nicknames are shown below. Some -tendencies do not apply to all four state variables, so these cells are blank. - -+----------------------------+-------------+-------------------+-------------+-------------+ -| tendency | temperature | specific humidity | u-wind | v-wind | -+============================+=============+===================+=============+=============+ -|convective gravity wave drag| congwd| | congwd | congwd | -+----------------------------+-------------+-------------------+-------------+-------------+ -| deep convection | deepcnv| deepcnv | deepcnv| deepcnv| -+----------------------------+-------------+-------------------+-------------+-------------+ -| long wave radiation | lw | | | | -+----------------------------+-------------+-------------------+-------------+-------------+ -| microphysics | mp | mp | mp | mp | -+----------------------------+-------------+-------------------+-------------+-------------+ -|orographic gravity wave drag| orogwd| | orogwd | orogwd | -+----------------------------+-------------+-------------------+-------------+-------------+ -| planetary boundary layer | pbl | pbl | pbl | pbl | -+----------------------------+-------------+-------------------+-------------+-------------+ -| Rayleigh damping | rdamp | | rdamp | rdamp | -+----------------------------+-------------+-------------------+-------------+-------------+ -| shallow convection | shalcnv| shalcnv | shalcnv| shalcnv| -+----------------------------+-------------+-------------------+-------------+-------------+ -| short wave radiation | sw | | | | -+----------------------------+-------------+-------------------+-------------+-------------+ -| total physics (all above) | phys | phys | phys | phys | -+----------------------------+-------------+-------------------+-------------+-------------+ -| dynamics | nophys| nophys | nophys| nophys| -+----------------------------+-------------+-------------------+-------------+-------------+ -| state variable at validtime| tmp | spfh | ugrd | vgrd | -+----------------------------+-------------+-------------------+-------------+-------------+ -| actual change in state var | dtmp | dspfh | dugrd | dvgrd | -+----------------------------+-------------+-------------------+-------------+-------------+ - - - - -The expected names of the netCDF variables in the history file are shown below. If your history -file is different, one can change them in YAML config file -*$METPLOTPY_BASE/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml* +Available tendency variables and their expected names are below. +Some tendencies do not apply to all four state variables, so these cells are blank. + +The expected names can be changed in the configuration file +*$METPLOTPY_BASE/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml*. +You will need to do this if your FV3 history file uses a different naming convention or +has a different number of output variables. **NOTE**: *$METPLOTPY_BASE* is the directory where the METplotpy code is saved (e.g. */path/to/user/dir/METplotpy*). -+----------------------------+-------------+-------------------+-------------+-------------+ -| tendency | temperature | specific humidity | u-wind | v-wind | -+============================+=============+===================+=============+=============+ -|convective gravity wave drag| dt3dt_congwd| |du3dt_congwd |dv3dt_congwd | -+----------------------------+-------------+-------------------+-------------+-------------+ -| deep convection |dt3dt_deepcnv| dq3dt_deepcnv |du3dt_deepcnv|dv3dt_deepcnv| -+----------------------------+-------------+-------------------+-------------+-------------+ -| long wave radiation | dt3dt_lw | | | | -+----------------------------+-------------+-------------------+-------------+-------------+ -| microphysics | dt3dt_mp | dq3dt_mp | du3dt_mp | dv3dt_mp | -+----------------------------+-------------+-------------------+-------------+-------------+ -|orographic gravity wave drag| dt3dt_orogwd| |du3dt_orogwd |dv3dt_orogwd | -+----------------------------+-------------+-------------------+-------------+-------------+ -| planetary boundary layer | dt3dt_pbl | dq3dt_pbl | du3dt_pbl | dv3dt_pbl | -+----------------------------+-------------+-------------------+-------------+-------------+ -| Rayleigh damping | dt3dt_rdamp | | du3dt_rdamp | dv3dt_rdamp | -+----------------------------+-------------+-------------------+-------------+-------------+ -| shallow convection |dt3dt_shalcnv| dq3dt_shalcnv |du3dt_shalcnv|dv3dt_shalcnv| -+----------------------------+-------------+-------------------+-------------+-------------+ -| short wave radiation | dt3dt_sw | | | | -+----------------------------+-------------+-------------------+-------------+-------------+ -| total physics (all above) | dt3dt_phys | dq3dt_phys |du3dt_phys | dv3dt_phys | -+----------------------------+-------------+-------------------+-------------+-------------+ -| dynamics | dt3dt_nophys| dq3dt_nophys | du3dt_nophys| dv3dt_nophys| -+----------------------------+-------------+-------------------+-------------+-------------+ +State variables + ++-----------------------------+-------------+-------------------+-------------+-------------+ +| | temperature | specific humidity | u-wind | v-wind | ++=============================+=============+===================+=============+=============+ +| expected name | tmp | spfh | ugrd | vgrd | ++-----------------------------+-------------+-------------------+-------------+-------------+ + +Tendency variables: + ++-----------------------------+-------------------+-------------------+----------------+----------------+ +| tendency | temperature | specific humidity | u-wind | v-wind | ++=============================+===================+===================+================+================+ +| convective gravity wave drag| dtend_temp_cnvgwd | | dtend_u_cnvgwd | dtend_v_cnvgwd | ++-----------------------------+-------------------+-------------------+----------------+----------------+ +| deep convection | dtend_temp_deepcnv| dtend_qv_deepcnv | dtend_u_deepcnv| dtend_v_deepcnv| ++-----------------------------+-------------------+-------------------+----------------+----------------+ +| long wave radiation | dtend_temp_lw | | | | ++-----------------------------+-------------------+-------------------+----------------+----------------+ +| microphysics | dtend_temp_mp | dtend_qv_mp | | | ++-----------------------------+-------------------+-------------------+----------------+----------------+ +| orographic gravity wave drag| dtend_temp_orogwd | | dtend_u_orogwd | dtend_v_orogwd | ++-----------------------------+-------------------+-------------------+----------------+----------------+ +| planetary boundary layer | dtend_temp_pbl | dtend_qv_pbl | dtend_u_pbl | dtend_v_pbl | ++-----------------------------+-------------------+-------------------+----------------+----------------+ +| Rayleigh damping | dtend_temp_rdamp | | dtend_u_rdamp | dtend_v_rdamp | ++-----------------------------+-------------------+-------------------+----------------+----------------+ +| shallow convection | dtend_temp_shalcnv| dtend_qv_shalcnv | dtend_u_shalcnv| dtend_v_shalcnv| ++-----------------------------+-------------------+-------------------+----------------+----------------+ +| short wave radiation | dtend_temp_sw | | | | ++-----------------------------+-------------------+-------------------+----------------+----------------+ +| all physics tendencies | dtend_temp_phys | dtend_qv_phys | dtend_u_phys | dtend_v_phys | ++-----------------------------+-------------------+-------------------+----------------+----------------+ +| dynamics (advection) | dtend_temp_nophys | dtend_qv_nophys | dtend_u_nophys | dtend_v_nophys | ++-----------------------------+-------------------+-------------------+----------------+----------------+ + + +Derived tendency variables that show up in plots: + ++-----------------------------+-------------------+-------------------+----------------+----------------+ +| derived variable | temperature | specific humidity | u-wind | v-wind | ++=============================+===================+===================+================+================+ +| all phys and nophys | all | all | all | all | ++-----------------------------+-------------------+-------------------+----------------+----------------+ +| actual tendency | actual | actual | actual | actual | ++-----------------------------+-------------------+-------------------+----------------+----------------+ +| residual tend. (all-actual) | resid | resid | resid | resid | ++-----------------------------+-------------------+-------------------+----------------+----------------+ + +If time window overlaps initialization time +---------------------------- + +The history file does not necessarily have the temperature, moisture, or wind at the exact +time of model initialization. It is usally the next timestep (e.g. 180 seconds later). +This means you cannot derive the actual change in temperature from model initialization time to the valid +time. You must choose a later valid time or a shorter time window that does not overlap +the initialization time. In other words, it is a problem if your model initialization time is 0z, your +valid time is 1z and your time window is one hour. One work-around is to append the state variables +at initialization time to the history file, naming them something different and providing the different +varialble name in the configuration file. Example @@ -164,8 +168,9 @@ Plan View :: usage: planview_fv3.py [-h] [-d] [--method {nearest,linear,loglinear}] [--ncols NCOLS] - [--nofineprint] [-o OFILE] [-p PFULL [PFULL ...]] [-s SHP] - [--subtract SUBTRACT] [-t TWINDOW] [-v VALIDTIME] + [--nofineprint] [--norobust] [-o OFILE] [-p PFULL [PFULL ...]] + [-s SHP] [--subtract SUBTRACT] [-t TWINDOW] [-v VALIDTIME] + [--vmin VMIN] [--vmax VMAX] config historyfile gridfile statevariable fill Plan view of FV3 diagnostic tendency @@ -185,6 +190,8 @@ Plan View --ncols NCOLS number of columns (default: None) --nofineprint Don't add metadata and created by date (for comparing images) (default: False) + --norobust compute colormap range with extremes, not 2nd and 98th + percentiles (default: False) -o OFILE, --ofile OFILE name of output image file (default: None) -p PFULL [PFULL ...], --pfull PFULL [PFULL ...] @@ -198,6 +205,8 @@ Plan View time window in hours (default: 3) -v VALIDTIME, --validtime VALIDTIME valid time (default: None) + --vmin VMIN color bar minimum (overrides robust=True) (default: None) + --vmax VMAX color bar maximum (overrides robust=True) (default: None) Generate a plan view of all tendencies at 500 hPa: @@ -227,6 +236,7 @@ Vertical Profile usage: vert_profile_fv3.py [-h] [-d] [--nofineprint] [-o OFILE] [--resid] [-s SHP] [--subtract SUBTRACT] [-t TWINDOW] [-v VALIDTIME] + [--xmin XMIN] [--xmax XMAX] config historyfile gridfile statevariable Vertical profile of FV3 diagnostic tendencies @@ -251,7 +261,9 @@ Vertical Profile time window in hours (default: 3) -v VALIDTIME, --validtime VALIDTIME valid time (default: None) - + --xmin XMIN x-axis minimum (default: None) + --xmax XMAX x-axis maximum (default: None) + Generate vertical profile of temperature tendencies averaged over the mid-CONUS region: .. code-block:: bash @@ -267,11 +279,12 @@ Vertical Cross Section python cross_section_vert.py -h -Usage:: +:: usage: cross_section_vert.py [-h] [-d] [--dindex DINDEX] [--ncols NCOLS] [--nofineprint] - [-o OFILE] [-s START START] [-e END END] + [--norobust] [-o OFILE] [-s START START] [-e END END] [--subtract SUBTRACT] [-t TWINDOW] [-v VALIDTIME] + [--vmin VMIN] [--vmax VMAX] config historyfile gridfile statevariable Vertical cross section of FV3 diagnostic tendency @@ -289,6 +302,8 @@ Usage:: --ncols NCOLS number of columns (default: None) --nofineprint Don't add metadata and created by date (for comparing images) (default: False) + --norobust compute colormap range with extremes, not 2nd and 98th + percentiles (default: False) -o OFILE, --ofile OFILE name of output image file (default: None) -s START START, --start START START @@ -300,6 +315,8 @@ Usage:: time window in hours (default: 3) -v VALIDTIME, --validtime VALIDTIME valid time (default: None) + --vmin VMIN color bar minimum (overrides robust=True) (default: None) + --vmax VMAX color bar maximum (overrides robust=True) (default: None) Generate vertical cross section from 32°N 115°W to 34°N 82°W: From d4c1f7717a4e2b22903900088a7ed1a527df66de Mon Sep 17 00:00:00 2001 From: David Ahijevych Date: Thu, 3 Aug 2023 12:15:07 -0600 Subject: [PATCH 07/32] Update fv3_physics.rst equation for residual in description --- docs/Users_Guide/fv3_physics.rst | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/docs/Users_Guide/fv3_physics.rst b/docs/Users_Guide/fv3_physics.rst index 8d1eb4b1..fd795d3f 100644 --- a/docs/Users_Guide/fv3_physics.rst +++ b/docs/Users_Guide/fv3_physics.rst @@ -9,7 +9,11 @@ and spatial domain. Tendencies are partitioned into physics parameterizations an dynamics. Physics parameterizations include schemes like deep convection, convective gravity wave drag, short wave radiation, planetary boundary layer, microphysics, and others listed below. Non-physics tendencies (or dynamics) are due to horizontal -and vertical motion (advection). The residual (which should be close to zero) is the +and vertical motion (advection). + +residual = all tendencies - actual tendency + +The residual (which should be close to zero) is the difference between the actual change in the state variable over the requested time window and the combined change due to all physics parameterizations and dynamics tendencies. One can plot From ca65c63eb492d2f1ade797561a66b9a5f4b9431a Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Fri, 4 Aug 2023 09:52:49 -0600 Subject: [PATCH 08/32] subtract before cleaning times new date for new history file in Users Guide new figures for Users Guide fill -> tendencytype simplify construction of da2plot in planview_fv3.py don't allow user to plot state variable at validtime or time0. it makes code so much uglier for such a simple request. No explicit debug option for physics_tend.pts_in_shp Restore statevariable in default output filename in planview_fv3.py. 100 dpi default instead of 150 --- .../figure/tmp.vert_profile.MID_CONUS.png | Bin 118666 -> 78518 bytes docs/Users_Guide/figure/tmp.vert_profile.png | Bin 70159 -> 42168 bytes .../figure/tmp_32.0N-115.0E-34.0N-82.0E.png | Bin 389491 -> 0 bytes .../figure/tmp_32.0N-119.0E-34.0N-87.0E.png | Bin 0 -> 260905 bytes docs/Users_Guide/figure/tmp_500hPa.png | Bin 731345 -> 523434 bytes docs/Users_Guide/figure/tmp_pbl.png | Bin 447496 -> 424158 bytes docs/Users_Guide/fv3_physics.rst | 31 +++++--- .../fv3_physics_tend/cross_section_vert.py | 17 ++--- .../fv3_physics_tend/planview_fv3.py | 69 ++++++++---------- .../fv3_physics_tend/vert_profile_fv3.py | 14 ++-- .../fv3_physics_tend_defaults.yaml | 2 +- 11 files changed, 69 insertions(+), 64 deletions(-) delete mode 100644 docs/Users_Guide/figure/tmp_32.0N-115.0E-34.0N-82.0E.png create mode 100644 docs/Users_Guide/figure/tmp_32.0N-119.0E-34.0N-87.0E.png diff --git a/docs/Users_Guide/figure/tmp.vert_profile.MID_CONUS.png b/docs/Users_Guide/figure/tmp.vert_profile.MID_CONUS.png index 7f1384226dd38a9f3a97fbcf2238844e7689b0a5..a9b3863336a80e20139485e03373bcba26dcc512 100644 GIT binary patch literal 78518 zcmeFZWmna2)HS*RK|nze5Jf^#NqyOEFvC8bLQr3C3t5$Tfd?(TZl z{@>#{(-yvl6?XAtN?9ELK9yz|VwKK7@}|Jy$|jG~p{#zEDO+ILCuh)m|?uyT8S2G^OZ=hbk3G13%vz6^0zpk-ter zewC5I@c!>vDV)&T2-^RiB)R_pA^qQzTx{%!=>Ohns`nN_|KF>F4Sx^{|8t-ZpHb5O zdsPXI8cpPX4u~P~{~r+6ura z;dPVovM1X$``zzc^0H*&Y}fP4`+vM<3YDPlO5ie_sIVdBvtRL9JKXry!*09q(!kJA zkO%STCKPZT;qtuU(P`2USu$j^4N) zu8G4@KYaLLzdey&i>#1WZRMx>>eYd4IAwf%JQv^l@8Ti%c460Cwbe$K^I1*) z<-N&DeXyJfm%`-Yw@Sst#KiMBKO*XgVCvzdJEgx|nw#>DLv`#urYv&u%($WT{r9HCg;u;Qg+p3gA%vCO@ z>}wo#^KTPMWGb4E7Prn9nGF}1l9@I6VNnSQ>4cK;tHQc!tJo*d!H0W$75dU&+$?h5 zHQ1ex5Ds21sFtG-rm6#*h0k1`9U|`$d>|->NiEp_7IE;%h%$@Fx9$ZxZjNDj zd3hBX^`z_<#I?V@tETM`<2>`>rk`9kfzy;r_V9fD<q+Z-!xGUg1XeDN``u>MK|xh3vbr^|DFk`(#>ivHzmK5lAmZUtv; z$uFN`MC^_lrMf&BFVq!=1rD)YKCbgP{~^!~mi1_EZmy-oWT0hlv7_~G3{z`ngbzoj%#7Y{<4uadQnTTz>!UhYf74R4*(U$3V|}=UIo~@%c%q`B20Js2LLPZ! z{EnD0(zIn3<4Z*~RjKtvNV{83ag#$(QB!A1v@ttOIt&MWlTCEhE`Qf??{iX;yUuxS z(#A+p=GgW0k6dsJr1|-Ey(ie+-JPqyzTBqeUux~wLu(kwmXFhnO-*HmBegbsKog9O zc)%gy7Z4CKF`;!_Y}gi#m9NT_;=0BVQH&eVeCZZ|OU5Yh6lrvP4r???a@lP{4t&WK zn`PrahCZ(S>sYl9X3?$+gh%vw+Z%1U>;diJ(9lpuG!bFp`hC7|yp+P(uToKrw-MX* z*Pi-p_gmVd9#3{`I93}E7bFLUgzS&Vi@P3eFpQO3v6^!yx{bnp-FP(Rwk>#EEa-Lw z@vEgXof=;_SiI**pFsNaVyxQn{&3>0%j)VcC}}E1GGqvB%9i!QdKL)dV*2{Cw1Sov zW%fz~U+n&{Gtb_p#e zboAp3!N^wq-G8YF0-h-e2J-%UpBGF zR8WCxjUyhXQD*+&>gp==0mtu5fJxI`-<7jR;4-q>&MuFqrDSEFIFW}v;J^TFo}Jl`J2pXLeX;4zb2w|*GWyIUel^J1|k_)cs!dvYGq|*jO9SRmsc#SZujnd zo8UL1Xg()Q=cyVO`rxLqQnN}hEUa6%sM**)!OP0(>Mu1kNWc+jAvdqA7^gVTVS!z? 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@@ -48,7 +48,8 @@ Save this file in a directory where you have read and write permissions, such as $WORKING_DIR/data/fv3_physics_tend, where $WORKING_DIR is the path to the directory where you will save input data. -For additional details see `grid description in UFS Short Range Weather App user manual `_ +For additional details see +`grid description in UFS Short Range Weather App user manual `_ Available Tendency Variables @@ -123,7 +124,7 @@ time. You must choose a later valid time or a shorter time window that does not the initialization time. In other words, it is a problem if your model initialization time is 0z, your valid time is 1z and your time window is one hour. One work-around is to append the state variables at initialization time to the history file, naming them something different and providing the different -varialble name in the configuration file. +variable name in the configuration file. Example @@ -153,7 +154,8 @@ There is a YAML config file located in Run from the Command Line ========================= -To generate example tendency plots using settings in the **fv3_physics_defaults.yaml** configuration file, perform the following: +To generate example tendency plots using settings in the **fv3_physics_defaults.yaml** +configuration file, perform the following: .. code-block:: bash @@ -209,11 +211,12 @@ Plan View --vmax VMAX color bar maximum (overrides robust=True) (default: None) -Generate a plan view of all tendencies at 500 hPa: +Generate a plan view of all tendencies at 500 hPa for the 1-hour time window ending 20190615 20z: .. code-block:: bash - python planview_fv3.py $CONFIG $WORKING_DIR/fv3_history.nc $WORKING_DIR/grid_spec.nc tmp pbl -p 500 -t 1 -v 20190504T14 --nofineprint + python planview_fv3.py $CONFIG $WORKING_DIR/fv3_history.nc $WORKING_DIR/grid_spec.nc tmp pbl \ + -p 500 -t 1 -v 20190615T20 --nofineprint .. image:: figure/tmp_500hPa.png @@ -221,7 +224,8 @@ Generate a plan view of PBL tendency at default pressure levels: .. code-block:: bash - python planview_fv3.py $CONFIG $WORKING_DIR/fv3_history.nc $WORKING_DIR/grid_spec.nc tmp pbl -t 1 -v 20190504T13 --nofineprint + python planview_fv3.py $CONFIG $WORKING_DIR/fv3_history.nc $WORKING_DIR/grid_spec.nc tmp pbl \ + -t 1 -v 20190615T20 --nofineprint .. image:: figure/tmp_pbl.png @@ -264,11 +268,13 @@ Vertical Profile --xmin XMIN x-axis minimum (default: None) --xmax XMAX x-axis maximum (default: None) -Generate vertical profile of temperature tendencies averaged over the mid-CONUS region: +Generate vertical profile of temperature tendencies averaged over the central US. Plot residual +tendency and its components. Limit the x-axis range with --xmin and --xmax. .. code-block:: bash - python vert_profile_fv3.py $CONFIG $WORKING_DIR/fv3_history.nc $WORKING_DIR/grid_spec.nc tmp -t 2 -v 20190504T14 -s $METPLOTPY_BASE/metplotpy/contributed/fv3_physics_tend/shapefiles/MID_CONUS --nofineprint + python vert_profile_fv3.py $CONFIG $WORKING_DIR/fv3_history.nc $WORKING_DIR/grid_spec.nc tmp \ + -t 1 -v 20190615T20 -s shapefiles/MID_CONUS --resid --xmin -0.0005 --xmax 0.0004 --nofineprint .. image:: figure/tmp.vert_profile.MID_CONUS.png @@ -318,11 +324,13 @@ Vertical Cross Section --vmin VMIN color bar minimum (overrides robust=True) (default: None) --vmax VMAX color bar maximum (overrides robust=True) (default: None) -Generate vertical cross section from 32°N 115°W to 34°N 82°W: +Generate vertical cross section from 32°N 119°W to 34°N 87°W. Compress colormap range to +[-0.006, 0.006] with --vmin and --vmax. .. code-block:: bash - python cross_section_vert.py $CONFIG $WORKING_DIR/fv3_history.nc $WORKING_DIR/grid_spec.nc tmp -t 2 -v 20190504T14 -s 32 -115 -e 34 -82 --nofineprint + python cross_section_vert.py $CONFIG $WORKING_DIR/fv3_history.nc $WORKING_DIR/grid_spec.nc tmp \ + -t 1 -v 20190615T20 -s 32 -119 -e 34 -87 --vmin -0.0006 --vmax 0.0006 --nofineprint .. image:: figure/tmp_32.0N-115.0E-34.0N-82.0E.png @@ -334,7 +342,8 @@ Put file you want to subtract after the --subtract argument: .. code-block:: bash - python vert_profile_fv3.py $CONFIG $WORKING_DIR/fv3_history.nc $WORKING_DIR/grid_spec.nc tmp -t 1 --subtract $WORKING_DIR/fv3_history.nc --nofineprint + python vert_profile_fv3.py $CONFIG $WORKING_DIR/fv3_history.nc $WORKING_DIR/grid_spec.nc tmp \ + -t 1 --subtract $WORKING_DIR/fv3_history.nc --nofineprint .. image:: figure/tmp.vert_profile.png diff --git a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py index f38ae795..085da057 100644 --- a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py +++ b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py @@ -114,6 +114,12 @@ def main(): # Open input file logging.debug("open %s", ifile) fv3ds = xarray.open_dataset(ifile) + + if subtract: + logging.info("subtracting %s", subtract) + with xarray.set_options(keep_attrs=True): + fv3ds -= xarray.open_dataset(subtract) + datetimeindex = fv3ds.indexes['time'] if hasattr(datetimeindex, "to_datetimeindex"): # Convert from CFTime to pandas datetime or get warning @@ -128,10 +134,6 @@ def main(): datetimeindex = datetimeindex.round('1ms') logging.info(f"after: {datetimeindex[ragged_times].values}") fv3ds['time'] = datetimeindex - if subtract: - logging.info("subtracting %s", subtract) - with xarray.set_options(keep_attrs=True): - fv3ds -= xarray.open_dataset(subtract) # lont and latt used by pcolorfill() fv3ds = fv3ds.assign_coords(lont=lont, latt=latt) @@ -212,9 +214,6 @@ def main(): "subtract actual tendency from all_tendencies to get residual") resid = all_tendencies - actual_tendency - logging.debug("Define DataArray to plot (da2plot).") - # Plot all tendencies. - da2plot = tendencies_avg # Concatenate all_tendencies, actual_tendency, and resid DataArrays. # Give them a name and long_name along tendency_dim. all_tendencies = all_tendencies.expand_dims({tendency_dim: ["all"]}).assign_coords( @@ -224,7 +223,7 @@ def main(): resid = resid.expand_dims({tendency_dim: ["resid"]}).assign_coords( long_name=f"sum of tendencies - actual rate of change of {variable} (residual)") da2plot = xarray.concat( - [da2plot, all_tendencies, actual_tendency, resid], dim=tendency_dim) + [tendencies_avg, all_tendencies, actual_tendency, resid], dim=tendency_dim) col = tendency_dim if da2plot.metpy.vertical.attrs["units"] == "mb": @@ -249,7 +248,7 @@ def main(): # Kludgy steps to prepare metadata for metpy cross section # grid_yt and grid_xt confuse metpy da2plot = da2plot.drop_vars(['grid_yt', 'grid_xt', 'long_name']).rename( - dict(grid_yt="y", grid_xt="x")) + {"grid_yt":"y", "grid_xt":"x"}) # fv3 uses Extended Schmidt Gnomomic grid for regional applications. This is not in cartopy. # Found similar Lambert Conformal projection by trial and error. da2plot = da2plot.metpy.assign_crs(grid_mapping_name="lambert_conformal_conic", standard_parallel=fv3["standard_parallel"], longitude_of_central_meridian=- diff --git a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py index 4042b1a7..409c66b5 100644 --- a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py @@ -29,7 +29,7 @@ def parse_args(): parser.add_argument( "statevariable", help="moisture, temperature, or wind component variable name") parser.add_argument( - "fill", help='type of tendency. ignored if pfull is a single level') + "tendencytype", help='type of tendency. ignored if pfull is a single level') # ==========Optional Arguments=================== parser.add_argument("-d", "--debug", action='store_true') parser.add_argument("--method", choices=["nearest", "linear", "loglinear"], default="nearest", @@ -63,15 +63,16 @@ def parse_args(): def main(): """ - Plan view of tendencies of t, q, u, or v from physics parameterizations, dynamics (non-physics), - the combination of all tendencies (physics and non-physics), - the actual tendency, and the residual. Residual is the sum of all tendencies minus the actual tendency. + Plan view of tendencies of t, q, u, or v from physics parameterizations, + dynamics (non-physics), the combination of all tendencies (physics and non-physics), + the actual tendency, and the residual. Residual is the sum of all tendencies minus the + actual tendency. """ args = parse_args() gfile = args.gridfile ifile = args.historyfile variable = args.statevariable - fill = args.fill + tendencytype = args.tendencytype config = args.config debug = args.debug method = args.method @@ -120,6 +121,12 @@ def main(): # Open input file logging.debug("open %s", ifile) fv3ds = xarray.open_dataset(ifile) + + if subtract: + logging.info("subtracting %s", subtract) + with xarray.set_options(keep_attrs=True): + fv3ds -= xarray.open_dataset(subtract) + datetimeindex = fv3ds.indexes['time'] if hasattr(datetimeindex, "to_datetimeindex"): # Convert from CFTime to pandas datetime or get warning @@ -134,10 +141,6 @@ def main(): datetimeindex = datetimeindex.round('1ms') logging.info(f"after: {datetimeindex[ragged_times].values}") fv3ds['time'] = datetimeindex - if subtract: - logging.info("subtracting %s", subtract) - with xarray.set_options(keep_attrs=True): - fv3ds -= xarray.open_dataset(subtract) # lont and latt used by pcolorfill() fv3ds = fv3ds.assign_coords(lont=lont, latt=latt) @@ -218,32 +221,23 @@ def main(): "subtract actual tendency from all_tendencies to get residual") resid = all_tendencies - actual_tendency - logging.debug("Define DataArray to plot (da2plot).") - if len(pfull) == 1: - # If only 1 pressure level was requested, plot all tendencies. - da2plot = tendencies_avg - # Concatenate all_tendencies, actual_tendency, and resid DataArrays. - # Give them a name and long_name along tendency_dim. - all_tendencies = all_tendencies.expand_dims({tendency_dim: ["all"]}).assign_coords( - long_name="sum of tendencies") - actual_tendency = actual_tendency.expand_dims({tendency_dim: ["actual"]}).assign_coords( - long_name=f"actual rate of change of {variable}") - resid = resid.expand_dims({tendency_dim: ["resid"]}).assign_coords( - long_name=f"sum of tendencies - actual rate of change of {variable} (residual)") - da2plot = xarray.concat( - [da2plot, all_tendencies, actual_tendency, resid], dim=tendency_dim) - col = tendency_dim - else: - # otherwise pick a DataArray (resid, state_variable, actual_tendency, tendency) + # Concatenate all_tendencies, actual_tendency, and resid DataArrays. + # Give them a name and long_name along tendency_dim. + all_tendencies = all_tendencies.expand_dims({tendency_dim: ["all"]}).assign_coords( + long_name="sum of tendencies") + actual_tendency = actual_tendency.expand_dims({tendency_dim: ["actual"]}).assign_coords( + long_name=f"actual rate of change of {variable}") + resid = resid.expand_dims({tendency_dim: ["resid"]}).assign_coords( + long_name=f"sum of tendencies - actual rate of change of {variable} (residual)") + da2plot = xarray.concat( + [tendencies_avg, all_tendencies, actual_tendency, resid], dim=tendency_dim) + col = tendency_dim + + if len(pfull) > 1: + # If more than one pressure level was specified col = "pfull" - if fill == 'resid': # residual - da2plot = resid - elif fill == "": # plain-old state variable - da2plot = state_variable.sel(time=validtime) - elif fill == "d"+variable: # actual change in state variable - da2plot = actual_tendency - else: # expected change in state variable from tendencies - da2plot = tendencies_avg.sel({tendency_dim: fill}) + # just select one type of tendency + da2plot = da2plot.sel({tendency_dim: tendencytype}) if da2plot.metpy.vertical.attrs["units"] == "mb": # For MetPy. Otherwise, mb is interpreted as millibarn. @@ -269,7 +263,7 @@ def main(): if shp is not None: # Use .values to avoid AttributeError: 'DataArray' object has no attribute 'flatten' mask = physics_tend.pts_in_shp( - latt.values, lont.values, shp, debug=debug) + latt.values, lont.values, shp) mask = xarray.DataArray( mask, coords=[da2plot.grid_yt, da2plot.grid_xt]) da2plot = da2plot.where(mask, drop=True) @@ -299,7 +293,8 @@ def main(): logging.warning("compute colormap range with 2nd and 98th percentiles") pcm = da2plot.plot.pcolormesh(x="lont", y="latt", col=col, col_wrap=ncols, robust=robust, infer_intervals=True, transform=cartopy.crs.PlateCarree(), - vmin=vmin, vmax=vmax, cmap=fv3["cmap"], cbar_kwargs={'shrink': 0.8}, subplot_kws=subplot_kws) + vmin=vmin, vmax=vmax, cmap=fv3["cmap"], + cbar_kwargs={'shrink': 0.8}, subplot_kws=subplot_kws) for ax in pcm.axes.flat: # Why needed only when col=tendency_dim? With col="pfull" it shrinks to unmasked size. ax.set_extent(fv3["extent"]) @@ -336,7 +331,7 @@ def default_ofile(args): pfull_str = f"{pfull[0]:~.0f}".replace(" ", "") ofile = f"{args.statevariable}_{pfull_str}.png" else: - ofile = f"{args.fill}.png" + ofile = f"{args.statevariable}_{args.tendencytype}.png" if args.shp is not None: shp = shp.rstrip("/") # Add shapefile name to output filename diff --git a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py index 04861230..f7f53889 100644 --- a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py @@ -107,6 +107,12 @@ def main(): # Open input file logging.debug("open %s", ifile) fv3ds = xarray.open_dataset(ifile) + + if subtract: + logging.info("subtracting %s", subtract) + with xarray.set_options(keep_attrs=True): + fv3ds -= xarray.open_dataset(subtract) + datetimeindex = fv3ds.indexes['time'] if hasattr(datetimeindex, "to_datetimeindex"): # Convert from CFTime to pandas datetime or get warning @@ -121,10 +127,6 @@ def main(): datetimeindex = datetimeindex.round('1ms') logging.info(f"after: {datetimeindex[ragged_times].values}") fv3ds['time'] = datetimeindex - if subtract: - logging.info("subtracting %s", subtract) - with xarray.set_options(keep_attrs=True): - fv3ds -= xarray.open_dataset(subtract) # lont and latt used by pcolorfill() fv3ds = fv3ds.assign_coords(lont=lont, latt=latt) @@ -205,10 +207,10 @@ def main(): "subtract actual tendency from all_tendencies to get residual") resid = all_tendencies - actual_tendency - logging.debug("Define DataArray to plot (da2plot).") da2plot = tendencies_avg if args.resid: - # Add all_tendencies and resid DataArrays to tendency_dim. + # Concatenate all_tendencies, actual_tendency, and resid DataArrays. + # Give them a name and long_name along tendency_dim. all_tendencies = all_tendencies.expand_dims({tendency_dim: ["all"]}).assign_coords( long_name="sum of tendencies") actual_tendency = actual_tendency.expand_dims({tendency_dim: ["actual"]}).assign_coords( diff --git a/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml b/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml index 14fead54..82f43f0f 100644 --- a/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml +++ b/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml @@ -64,5 +64,5 @@ standard_parallel : 38.139 cmap : "Spectral_r" # resolution (dots per inch) of output -dpi : 150 +dpi : 100 From c95a93268176e4c4406ddf398a2eb9c88320336e Mon Sep 17 00:00:00 2001 From: David Ahijevych Date: Fri, 4 Aug 2023 10:25:16 -0600 Subject: [PATCH 09/32] Update fv3_physics.rst fix link to cross section png --- docs/Users_Guide/fv3_physics.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/Users_Guide/fv3_physics.rst b/docs/Users_Guide/fv3_physics.rst index 09e8dea3..7138f431 100644 --- a/docs/Users_Guide/fv3_physics.rst +++ b/docs/Users_Guide/fv3_physics.rst @@ -336,7 +336,7 @@ Generate vertical cross section from 32°N 119°W to 34°N 87°W. Compress color python cross_section_vert.py $CONFIG $WORKING_DIR/fv3_history.nc $WORKING_DIR/grid_spec.nc tmp \ -t 1 -v 20190615T20 -s 32 -119 -e 34 -87 --vmin -0.0006 --vmax 0.0006 --nofineprint -.. image:: figure/tmp_32.0N-115.0E-34.0N-82.0E.png +.. image:: figure/tmp_32.0N-119.0E-34.0N-87.0E.png Difference Plot --------------- From 7c63bb6dbb7928eb35946d33b3cb8c074fed7ee7 Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Fri, 4 Aug 2023 10:27:49 -0600 Subject: [PATCH 10/32] fix path to cross section png --- docs/Users_Guide/fv3_physics.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/Users_Guide/fv3_physics.rst b/docs/Users_Guide/fv3_physics.rst index 09e8dea3..7138f431 100644 --- a/docs/Users_Guide/fv3_physics.rst +++ b/docs/Users_Guide/fv3_physics.rst @@ -336,7 +336,7 @@ Generate vertical cross section from 32°N 119°W to 34°N 87°W. Compress color python cross_section_vert.py $CONFIG $WORKING_DIR/fv3_history.nc $WORKING_DIR/grid_spec.nc tmp \ -t 1 -v 20190615T20 -s 32 -119 -e 34 -87 --vmin -0.0006 --vmax 0.0006 --nofineprint -.. image:: figure/tmp_32.0N-115.0E-34.0N-82.0E.png +.. image:: figure/tmp_32.0N-119.0E-34.0N-87.0E.png Difference Plot --------------- From 6e2de69fc58739dd71b40ef6faa7fbfc14bf7dcf Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Fri, 4 Aug 2023 11:27:50 -0600 Subject: [PATCH 11/32] pep8 formatting --- .../fv3_physics_tend/cross_section_vert.py | 45 ++++++++++--------- .../fv3_physics_tend/planview_fv3.py | 13 +++--- .../fv3_physics_tend/vert_profile_fv3.py | 8 ++-- 3 files changed, 33 insertions(+), 33 deletions(-) diff --git a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py index 085da057..bcd852f6 100644 --- a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py +++ b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py @@ -12,8 +12,7 @@ import pandas as pd import xarray import yaml -import physics_tend - +from . import physics_tend def parse_args(): """ @@ -57,25 +56,25 @@ def parse_args(): args = parser.parse_args() return args - def main(): """ - Vertical cross section view of tendencies of t, q, u, or v from physics parameterizations, dynamics (non-physics), - the combination of all tendencies (physics and non-physics), - the actual tendency, and the residual. Residual is the sum of all tendencies minus the actual tendency. + Vertical cross section view of tendencies of t, q, u, or v from physics parameterizations, + dynamics (non-physics), the combination of all tendencies (physics and non-physics), + the actual tendency, and the residual. Residual is the sum of all tendencies minus the + actual tendency. """ args = parse_args() gfile = args.gridfile ifile = args.historyfile variable = args.statevariable config = args.config - debug = args.debug dindex = args.dindex ncols = args.ncols nofineprint = args.nofineprint ofile = args.ofile startpt = args.start endpt = args.end + robust = not args.norobust subtract = args.subtract twindow = datetime.timedelta(hours=args.twindow) twindow_quantity = twindow.total_seconds() * units.seconds @@ -84,7 +83,7 @@ def main(): vmax = args.vmax level = logging.INFO - if debug: + if args.debug: level = logging.DEBUG # prepend log message with time logging.basicConfig(format='%(asctime)s - %(message)s', level=level) @@ -100,7 +99,7 @@ def main(): logging.info( f"output directory {odir} does not exist. Creating it") os.mkdir(odir) - logging.info("output filename=%s", ofile) + logging.debug("output filename=%s", ofile) # Reload fv3 in case user specifies a custom --config file fv3 = yaml.load(open(config, encoding="utf8"), Loader=yaml.FullLoader) @@ -176,7 +175,7 @@ def main(): # for example dtend_u_pbl -> pbl name_dict = {da: "_".join(da.split("_")[-1:]) for da in tendencies_avg.data_vars} - logging.info("rename %s", name_dict) + logging.debug("rename %s", name_dict) tendencies_avg = tendencies_avg.rename(name_dict) # Stack variables along new tendency dimension of new DataArray. @@ -251,18 +250,22 @@ def main(): {"grid_yt":"y", "grid_xt":"x"}) # fv3 uses Extended Schmidt Gnomomic grid for regional applications. This is not in cartopy. # Found similar Lambert Conformal projection by trial and error. - da2plot = da2plot.metpy.assign_crs(grid_mapping_name="lambert_conformal_conic", standard_parallel=fv3["standard_parallel"], longitude_of_central_meridian=- - 97.5, latitude_of_projection_origin=fv3["standard_parallel"]).metpy.assign_y_x(force=True, tolerance=44069*units.m) - # Define cross section. Use different variable than da2plot because da2plot is used later for inset. - # upgraded xarray to 0.21.1 to avoid FutureWarning: Passing method to Float64Index.get_loc is deprecated + da2plot = da2plot.metpy.assign_crs( + grid_mapping_name="lambert_conformal_conic", standard_parallel=fv3["standard_parallel"], + longitude_of_central_meridian=-97.5, + latitude_of_projection_origin=fv3["standard_parallel"]).metpy.assign_y_x( + force=True, tolerance=44069*units.m) + # Define cross section. Use different variable than da2plot because da2plot is used later for + # inset. Upgrade to xarray to 0.21.1 to avoid + # FutureWarning: Passing method to Float64Index.get_loc is deprecated cross = cross_section(da2plot, startpt, endpt) logging.info("plot pcolormesh") # normalized width and height of inset. Shrink colorbar to provide space. - w, h = 0.18, 0.18 - # robust (bool, optional) – If True and vmin or vmax are absent, the colormap range is computed with 2nd and 98th percentiles instead of the extreme values - pc = cross.plot.pcolormesh(x="index", y="pfull", yincrease=False, col=col, col_wrap=ncols, robust=True, infer_intervals=True, - vmin=vmin, vmax=vmax, cmap=fv3["cmap"], cbar_kwargs={'shrink': 1-h, 'anchor': (0, 0.25-h)}) + wid_inset, hgt_inset = 0.18, 0.18 + pc = cross.plot.pcolormesh(x="index", y="pfull", yincrease=False, col=col, col_wrap=ncols, + robust=robust, infer_intervals=True, vmin=vmin, vmax=vmax, cmap=fv3["cmap"], + cbar_kwargs={'shrink': 1-hgt_inset, 'anchor': (0, 0.25-hgt_inset)}) for ax in pc.axes.flat: ax.grid(visible=True, color="grey", alpha=0.5, lw=0.5) @@ -274,12 +277,14 @@ def main(): # Add time to title title = f'{time0}-{validtime} ({twindow_quantity.to("hours"):~} time window)' plt.suptitle(title, wrap=True) - # pad top and bottom for title and fineprint. Unfortunately, you must redefine right pad, as xarray no longer controls it. + # pad top and bottom for title and fineprint. + # Unfortunately, you must redefine right pad, as xarray no longer controls it. plt.subplots_adjust(top=0.9, right=0.8, bottom=0.1) # Locate cross section on conus map background. Put in inset. data_crs = da2plot.metpy.cartopy_crs - ax_inset = plt.gcf().add_axes([.999-w, .999-h, w, h], projection=data_crs) + ax_inset = plt.gcf().add_axes( + [.999-wid_inset, .999-hgt_inset, wid_inset, hgt_inset], projection=data_crs) # Plot the endpoints of the cross section (make sure they match path) endpoints = data_crs.transform_points( cartopy.crs.Geodetic(), *np.vstack([startpt, endpt]).transpose()[::-1]) diff --git a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py index 409c66b5..3bbad2d2 100644 --- a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py @@ -10,8 +10,7 @@ import pandas as pd import xarray import yaml -import physics_tend - +from . import physics_tend def parse_args(): """ @@ -20,7 +19,7 @@ def parse_args(): # =============Arguments=================== parser = argparse.ArgumentParser( - description="Plan view of FV3 diagnostic tendency", + description="Plan view of FV3 diagnostic tendencies", formatter_class=argparse.ArgumentDefaultsHelpFormatter) # ==========Mandatory Arguments=================== parser.add_argument("config", help="yaml configuration file") @@ -60,7 +59,6 @@ def parse_args(): args = parser.parse_args() return args - def main(): """ Plan view of tendencies of t, q, u, or v from physics parameterizations, @@ -74,7 +72,6 @@ def main(): variable = args.statevariable tendencytype = args.tendencytype config = args.config - debug = args.debug method = args.method ncols = args.ncols nofineprint = args.nofineprint @@ -90,7 +87,7 @@ def main(): vmax = args.vmax level = logging.INFO - if debug: + if args.debug: level = logging.DEBUG # prepend log message with time logging.basicConfig(format='%(asctime)s - %(message)s', level=level) @@ -106,7 +103,7 @@ def main(): logging.info( f"output directory {odir} does not exist. Creating it") os.mkdir(odir) - logging.info("output filename=%s", ofile) + logging.debug("output filename=%s", ofile) # Reload fv3 in case user specifies a custom --config file fv3 = yaml.load(open(config, encoding="utf8"), Loader=yaml.FullLoader) @@ -183,7 +180,7 @@ def main(): # for example dtend_u_pbl -> pbl name_dict = {da: "_".join(da.split("_")[-1:]) for da in tendencies_avg.data_vars} - logging.info("rename %s", name_dict) + logging.debug("rename %s", name_dict) tendencies_avg = tendencies_avg.rename(name_dict) # Stack variables along new tendency dimension of new DataArray. diff --git a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py index f7f53889..7feebf31 100644 --- a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py @@ -10,8 +10,7 @@ import pandas as pd import xarray import yaml -import physics_tend - +from . import physics_tend def parse_args(): """ @@ -46,7 +45,6 @@ def parse_args(): args = parser.parse_args() return args - def main(): """ Vertical profile of tendencies of t, q, u, or v from physics parameterizations, @@ -92,7 +90,7 @@ def main(): logging.info( f"output directory {odir} does not exist. Creating it") os.mkdir(odir) - logging.info("output filename=%s", ofile) + logging.debug("output filename=%s", ofile) # Reload fv3 in case user specifies a custom --config file fv3 = yaml.load(open(config, encoding="utf8"), Loader=yaml.FullLoader) @@ -169,7 +167,7 @@ def main(): # for example dtend_u_pbl -> pbl name_dict = {da: "_".join(da.split("_")[-1:]) for da in tendencies_avg.data_vars} - logging.info("rename %s", name_dict) + logging.debug("rename %s", name_dict) tendencies_avg = tendencies_avg.rename(name_dict) # Stack variables along new tendency dimension of new DataArray. From a63b77080186ae50eceb70a0c638824b6066f1d4 Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Fri, 4 Aug 2023 14:59:40 -0600 Subject: [PATCH 12/32] use open_mfdataset for dask --- .../fv3_physics_tend/cross_section_vert.py | 16 +++++++--------- .../contributed/fv3_physics_tend/planview_fv3.py | 13 ++++++------- .../fv3_physics_tend/vert_profile_fv3.py | 15 ++++++++------- 3 files changed, 21 insertions(+), 23 deletions(-) diff --git a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py index bcd852f6..de86cbb7 100644 --- a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py +++ b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py @@ -21,7 +21,7 @@ def parse_args(): # =============Arguments=================== parser = argparse.ArgumentParser( - description="Vertical cross section of FV3 diagnostic tendency", + description="Vertical cross section of FV3 diagnostic tendencies", formatter_class=argparse.ArgumentDefaultsHelpFormatter) # ==========Mandatory Arguments=================== parser.add_argument("config", help="yaml configuration file") @@ -106,7 +106,7 @@ def main(): # Read lat/lon from gfile logging.debug(f"read lat/lon from {gfile}") - gds = xarray.open_dataset(gfile) + gds = xarray.open_mfdataset(gfile) lont = gds[fv3["lon_name"]] latt = gds[fv3["lat_name"]] @@ -117,7 +117,7 @@ def main(): if subtract: logging.info("subtracting %s", subtract) with xarray.set_options(keep_attrs=True): - fv3ds -= xarray.open_dataset(subtract) + fv3ds -= xarray.open_mfdataset(subtract) datetimeindex = fv3ds.indexes['time'] if hasattr(datetimeindex, "to_datetimeindex"): @@ -129,7 +129,7 @@ def main(): ragged_times = datetimeindex != datetimeindex.round('1ms') if any(ragged_times): logging.info( - f"round times to nearest millisecond. before: {datetimeindex[ragged_times].values}") + f"round times to nearest millisec. before: {datetimeindex[ragged_times].values}") datetimeindex = datetimeindex.round('1ms') logging.info(f"after: {datetimeindex[ragged_times].values}") fv3ds['time'] = datetimeindex @@ -239,9 +239,7 @@ def main(): ncols = int(np.ceil(np.sqrt(len(da2plot)))) if da2plot["pfull"].size == 1: - # Avoid ValueError: ('grid_yt', 'grid_xt') must be a - # permuted list of ('pfull', 'grid_yt', 'grid_xt'), unless `...` is included - # Error occurs in pcolormesh(). + # Avoid ValueError in pcolormesh(). da2plot = da2plot.squeeze() # Kludgy steps to prepare metadata for metpy cross section @@ -263,11 +261,11 @@ def main(): logging.info("plot pcolormesh") # normalized width and height of inset. Shrink colorbar to provide space. wid_inset, hgt_inset = 0.18, 0.18 - pc = cross.plot.pcolormesh(x="index", y="pfull", yincrease=False, col=col, col_wrap=ncols, + pcm = cross.plot.pcolormesh(x="index", y="pfull", yincrease=False, col=col, col_wrap=ncols, robust=robust, infer_intervals=True, vmin=vmin, vmax=vmax, cmap=fv3["cmap"], cbar_kwargs={'shrink': 1-hgt_inset, 'anchor': (0, 0.25-hgt_inset)}) - for ax in pc.axes.flat: + for ax in pcm.axes.flat: ax.grid(visible=True, color="grey", alpha=0.5, lw=0.5) ax.xaxis.set_major_locator(MultipleLocator(dindex)) ax.yaxis.set_major_locator(MultipleLocator(100)) diff --git a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py index 3bbad2d2..570ebd18 100644 --- a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py @@ -110,7 +110,7 @@ def main(): # Read lat/lon/area from gfile logging.debug(f"read lat/lon/area from {gfile}") - gds = xarray.open_dataset(gfile) + gds = xarray.open_mfdataset(gfile) lont = gds[fv3["lon_name"]] latt = gds[fv3["lat_name"]] area = gds["area"] @@ -122,7 +122,7 @@ def main(): if subtract: logging.info("subtracting %s", subtract) with xarray.set_options(keep_attrs=True): - fv3ds -= xarray.open_dataset(subtract) + fv3ds -= xarray.open_mfdataset(subtract) datetimeindex = fv3ds.indexes['time'] if hasattr(datetimeindex, "to_datetimeindex"): @@ -134,7 +134,7 @@ def main(): ragged_times = datetimeindex != datetimeindex.round('1ms') if any(ragged_times): logging.info( - f"round times to nearest millisecond. before: {datetimeindex[ragged_times].values}") + f"round times to nearest millisec. before: {datetimeindex[ragged_times].values}") datetimeindex = datetimeindex.round('1ms') logging.info(f"after: {datetimeindex[ragged_times].values}") fv3ds['time'] = datetimeindex @@ -274,9 +274,7 @@ def main(): ncols = int(np.ceil(np.sqrt(len(da2plot)))) if da2plot["pfull"].size == 1: - # Avoid ValueError: ('grid_yt', 'grid_xt') must be a - # permuted list of ('pfull', 'grid_yt', 'grid_xt'), unless `...` is included - # Error occurs in pcolormesh(). + # Avoid ValueError in pcolormesh(). da2plot = da2plot.squeeze() # central lon/lat from https://github.com/NOAA-EMC/regional_workflow/blob/ @@ -307,7 +305,8 @@ def main(): # Annotate figure with args namespace, total area, and timestamp fineprint = f"{args} " - fineprint += f"total area={totalarea.data:~.0f}, created {datetime.datetime.now(tz=None)}" + fineprint += (f"total area={totalarea.compute().data:~.0f}, " + f"created {datetime.datetime.now(tz=None)}") if nofineprint: logging.debug(fineprint) else: diff --git a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py index 7feebf31..8c4a7fff 100644 --- a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py @@ -97,7 +97,7 @@ def main(): # Read lat/lon/area from gfile logging.debug(f"read lat/lon/area from {gfile}") - gds = xarray.open_dataset(gfile) + gds = xarray.open_mfdataset(gfile) lont = gds[fv3["lon_name"]] latt = gds[fv3["lat_name"]] area = gds["area"] @@ -109,7 +109,7 @@ def main(): if subtract: logging.info("subtracting %s", subtract) with xarray.set_options(keep_attrs=True): - fv3ds -= xarray.open_dataset(subtract) + fv3ds -= xarray.open_mfdataset(subtract) datetimeindex = fv3ds.indexes['time'] if hasattr(datetimeindex, "to_datetimeindex"): @@ -121,7 +121,7 @@ def main(): ragged_times = datetimeindex != datetimeindex.round('1ms') if any(ragged_times): logging.info( - f"round times to nearest millisecond. before: {datetimeindex[ragged_times].values}") + f"round times to nearest millisec. before: {datetimeindex[ragged_times].values}") datetimeindex = datetimeindex.round('1ms') logging.info(f"after: {datetimeindex[ragged_times].values}") fv3ds['time'] = datetimeindex @@ -278,20 +278,21 @@ def main(): [.7, .001, .19, .13], projection=projection) # astype(int) to avoid TypeError: numpy boolean subtract cbar_kwargs = {"ticks":[0.25, 0.75], "shrink":0.6} - pc = mask.assign_coords(lont=lont, latt=latt).astype(int).plot.pcolormesh( + pcm = mask.assign_coords(lont=lont, latt=latt).astype(int).plot.pcolormesh( ax=ax_inset, x="lont", y="latt", infer_intervals=True, transform=cartopy.crs.PlateCarree(), cmap=plt.cm.get_cmap('cool', 2), add_labels=False, cbar_kwargs=cbar_kwargs) - pc.colorbar.ax.set_yticklabels( + pcm.colorbar.ax.set_yticklabels( ["masked", "valid"], fontsize='xx-small') - pc.colorbar.outline.set_visible(False) + pcm.colorbar.outline.set_visible(False) physics_tend.add_conus_features(ax_inset) extent = fv3["extent"] ax_inset.set_extent(extent) # Annotate figure with args namespace, total area, and timestamp fineprint = f"{args} " - fineprint += f"total area={totalarea.data:~.0f}, created {datetime.datetime.now(tz=None)}" + fineprint += (f"total area={totalarea.compute().data:~.0f}, " + f"created {datetime.datetime.now(tz=None)}") if nofineprint: logging.debug(fineprint) else: From a3ec403bc2f2d2a0b2f1f64773686e3bfd2d726b Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Mon, 7 Aug 2023 08:34:14 -0600 Subject: [PATCH 13/32] tendencies that are available depend on user's diag_table --- docs/Users_Guide/fv3_physics.rst | 28 +++++++++---------- .../fv3_physics_tend_defaults.yaml | 8 +++--- 2 files changed, 18 insertions(+), 18 deletions(-) diff --git a/docs/Users_Guide/fv3_physics.rst b/docs/Users_Guide/fv3_physics.rst index 7138f431..dd145c45 100644 --- a/docs/Users_Guide/fv3_physics.rst +++ b/docs/Users_Guide/fv3_physics.rst @@ -56,23 +56,23 @@ For additional details see `grid description in UFS Short Range Weather App user manual `_ -Available Tendency Variables ----------------------------- - -Available tendency variables and their expected names are below. -Some tendencies do not apply to all four state variables, so these cells are blank. - -The expected names can be changed in the configuration file -*$METPLOTPY_BASE/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml*. -You will need to do this if your FV3 history file uses a different naming convention or -has a different number of output variables. +Default tendency variable names +------------------------------- + +Default tendency variable names are below. The tendencies that are available depend on the +physics suite that the user selects when running FV3; more specifically, its contents are +determined by the diag_table file that the user sets up. The history file that we +use our example is for a specific diag_table and so may change with different FV3 configurations. +The user must make sure the names in the configuration file +*$METPLOTPY_BASE/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml* +match the names used in fv3_history.nc for their case. +Some tendencies do not apply to all four state variables, so these cells are left blank. **NOTE**: *$METPLOTPY_BASE* is the directory where the METplotpy code is saved (e.g. */path/to/user/dir/METplotpy*). -State variables +-----------------------------+-------------+-------------------+-------------+-------------+ -| | temperature | specific humidity | u-wind | v-wind | +| State Variable | temperature | specific humidity | u-wind | v-wind | +=============================+=============+===================+=============+=============+ | expected name | tmp | spfh | ugrd | vgrd | +-----------------------------+-------------+-------------------+-------------+-------------+ @@ -80,7 +80,7 @@ State variables Tendency variables: +-----------------------------+-------------------+-------------------+----------------+----------------+ -| tendency | temperature | specific humidity | u-wind | v-wind | +| Tendency Variable | temperature | specific humidity | u-wind | v-wind | +=============================+===================+===================+================+================+ | convective gravity wave drag| dtend_temp_cnvgwd | | dtend_u_cnvgwd | dtend_v_cnvgwd | +-----------------------------+-------------------+-------------------+----------------+----------------+ @@ -109,7 +109,7 @@ Tendency variables: Derived tendency variables that show up in plots: +-----------------------------+-------------------+-------------------+----------------+----------------+ -| derived variable | temperature | specific humidity | u-wind | v-wind | +| Derived Variable | temperature | specific humidity | u-wind | v-wind | +=============================+===================+===================+================+================+ | all phys and nophys | all | all | all | all | +-----------------------------+-------------------+-------------------+----------------+----------------+ diff --git a/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml b/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml index 82f43f0f..238013dd 100644 --- a/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml +++ b/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml @@ -6,8 +6,8 @@ tendency_varnames: - dtend_qv_deepcnv - dtend_qv_shalcnv - dtend_qv_mp - - dtend_qv_nophys - dtend_qv_phys + - dtend_qv_nophys tmp: - dtend_temp_lw - dtend_temp_sw @@ -17,24 +17,24 @@ tendency_varnames: - dtend_temp_mp - dtend_temp_orogwd - dtend_temp_cnvgwd - - dtend_temp_nophys - dtend_temp_phys + - dtend_temp_nophys ugrd: - dtend_u_pbl - dtend_u_orogwd - dtend_u_deepcnv - dtend_u_cnvgwd - dtend_u_shalcnv - - dtend_u_nophys - dtend_u_phys + - dtend_u_nophys vgrd: - dtend_v_pbl - dtend_v_orogwd - dtend_v_deepcnv - dtend_v_cnvgwd - dtend_v_shalcnv - - dtend_v_nophys - dtend_v_phys + - dtend_v_nophys # Name of variables in history file that contain the temperature, moisture, wind at time zero (initialization time). time0_varname: From 9df587e8bf5db7d365124575066165307e70340c Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Mon, 7 Aug 2023 08:36:35 -0600 Subject: [PATCH 14/32] wordsmith tendency timestamp description --- metplotpy/contributed/fv3_physics_tend/planview_fv3.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py index 570ebd18..789fe302 100644 --- a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py @@ -160,8 +160,8 @@ def main(): tendencies = tendencies.metpy.quantify() # Define time slice starting with time-after-time0 and ending with validtime. - # We use the time *after* time0 because the time range of the tendency field is the period - # immediately prior to the tendency timestamp. + # We use the time *after* time0 because the time range corresponding to the tendency + # output is the period immediately prior to the tendency timestamp. # That way, slice(time_after_time0, validtime) has a time range of [time0,validtime]. idx_first_time_after_time0 = (fv3ds.time > time0).argmax() time_after_time0 = fv3ds.time[idx_first_time_after_time0] From bc1ef28d015048e6fb5f3f53a58024a88ad40b93 Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Mon, 7 Aug 2023 08:39:36 -0600 Subject: [PATCH 15/32] wordsmith tendency timestamp description --- .../contributed/fv3_physics_tend/cross_section_vert.py | 7 ++++--- metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py | 4 ++-- 2 files changed, 6 insertions(+), 5 deletions(-) diff --git a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py index de86cbb7..de24e470 100644 --- a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py +++ b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py @@ -155,8 +155,8 @@ def main(): tendencies = tendencies.metpy.quantify() # Define time slice starting with time-after-time0 and ending with validtime. - # We use the time *after* time0 because the time range of the tendency field is the period - # immediately prior to the tendency timestamp. + # We use the time *after* time0 because the time range corresponding to the tendency + # output is the period immediately prior to the tendency timestamp. # That way, slice(time_after_time0, validtime) has a time range of [time0,validtime]. idx_first_time_after_time0 = (fv3ds.time > time0).argmax() time_after_time0 = fv3ds.time[idx_first_time_after_time0] @@ -249,7 +249,8 @@ def main(): # fv3 uses Extended Schmidt Gnomomic grid for regional applications. This is not in cartopy. # Found similar Lambert Conformal projection by trial and error. da2plot = da2plot.metpy.assign_crs( - grid_mapping_name="lambert_conformal_conic", standard_parallel=fv3["standard_parallel"], + grid_mapping_name="lambert_conformal_conic", + standard_parallel=fv3["standard_parallel"], longitude_of_central_meridian=-97.5, latitude_of_projection_origin=fv3["standard_parallel"]).metpy.assign_y_x( force=True, tolerance=44069*units.m) diff --git a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py index 8c4a7fff..46d554cc 100644 --- a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py @@ -147,8 +147,8 @@ def main(): tendencies = tendencies.metpy.quantify() # Define time slice starting with time-after-time0 and ending with validtime. - # We use the time *after* time0 because the time range of the tendency field is the period - # immediately prior to the tendency timestamp. + # We use the time *after* time0 because the time range corresponding to the tendency + # output is the period immediately prior to the tendency timestamp. # That way, slice(time_after_time0, validtime) has a time range of [time0,validtime]. idx_first_time_after_time0 = (fv3ds.time > time0).argmax() time_after_time0 = fv3ds.time[idx_first_time_after_time0] From 84d9a5c474bfd186185e6068abd8f96a2598a01e Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Mon, 7 Aug 2023 08:48:02 -0600 Subject: [PATCH 16/32] mention time0_varname in config file in Guide --- docs/Users_Guide/fv3_physics.rst | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/docs/Users_Guide/fv3_physics.rst b/docs/Users_Guide/fv3_physics.rst index dd145c45..7e5c1b20 100644 --- a/docs/Users_Guide/fv3_physics.rst +++ b/docs/Users_Guide/fv3_physics.rst @@ -123,13 +123,12 @@ If time window overlaps initialization time The history file does not necessarily have the temperature, moisture, or wind at the exact time of model initialization. It is usally the next timestep (e.g. 180 seconds later). -This means you cannot derive the actual change in temperature from model initialization time to the valid -time. You must choose a later valid time or a shorter time window that does not overlap +This means you cannot derive the actual change in temperature starting at the model initialization +time. You must choose a later valid time and/or a shorter time window that does not overlap the initialization time. In other words, it is a problem if your model initialization time is 0z, your valid time is 1z and your time window is one hour. One work-around is to append the state variables -at initialization time to the history file, naming them something different and providing the different -variable name in the configuration file. - +at initialization time to the history file, naming them something different and setting the +*time0_varname* variable to those different names in the configuration file. Example ======= From ed0445dd1124cc3c9cc1aad24ad36fc386a67deb Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Mon, 7 Aug 2023 11:50:44 -0600 Subject: [PATCH 17/32] Remove add_time0 function. Remove time_varname from yaml config file. Assert time0 exists, and if not, help the user by listing the nearest time available. Make longitude the xaxis of cross section instead of 'index'. Dequantify *after* cross section to preserve units. Specify lat lon order of endpoints in cross_section_vert.py. Remove dindex argument. xarray does a good job of choosing the major axis interval. Note vertical interpolation method in planview_fv3.py and reveal actual pressure level in title instead of requested level. --- docs/Users_Guide/fv3_physics.rst | 4 +- .../fv3_physics_tend/cross_section_vert.py | 42 ++++++----------- .../fv3_physics_tend/physics_tend.py | 47 ------------------- .../fv3_physics_tend/planview_fv3.py | 11 ++--- .../fv3_physics_tend/vert_profile_fv3.py | 7 ++- .../fv3_physics_tend_defaults.yaml | 6 --- 6 files changed, 24 insertions(+), 93 deletions(-) diff --git a/docs/Users_Guide/fv3_physics.rst b/docs/Users_Guide/fv3_physics.rst index 7e5c1b20..b9eff85d 100644 --- a/docs/Users_Guide/fv3_physics.rst +++ b/docs/Users_Guide/fv3_physics.rst @@ -126,9 +126,7 @@ time of model initialization. It is usally the next timestep (e.g. 180 seconds l This means you cannot derive the actual change in temperature starting at the model initialization time. You must choose a later valid time and/or a shorter time window that does not overlap the initialization time. In other words, it is a problem if your model initialization time is 0z, your -valid time is 1z and your time window is one hour. One work-around is to append the state variables -at initialization time to the history file, naming them something different and setting the -*time0_varname* variable to those different names in the configuration file. +valid time is 1z and your time window is one hour. Example ======= diff --git a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py index de24e470..32310cde 100644 --- a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py +++ b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py @@ -12,7 +12,7 @@ import pandas as pd import xarray import yaml -from . import physics_tend +import physics_tend def parse_args(): """ @@ -31,8 +31,6 @@ def parse_args(): "statevariable", help="moisture, temperature, or wind component variable name") # ==========Optional Arguments=================== parser.add_argument("-d", "--debug", action='store_true') - parser.add_argument("--dindex", type=int, default=20, - help="tick and gridline interval along cross section") parser.add_argument("--ncols", type=int, default=None, help="number of columns") parser.add_argument("--nofineprint", action='store_true', @@ -41,9 +39,9 @@ def parse_args(): help="compute colormap range with extremes, not 2nd and 98th percentiles") parser.add_argument("-o", "--ofile", help="name of output image file") parser.add_argument("-s", "--start", nargs=2, type=float, - default=(28, -115), help="start point") + default=(28, -115), help="start point lat lon") parser.add_argument("-e", "--end", nargs=2, type=float, - default=(30, -82), help="end point") + default=(30, -82), help="end point lat lon") parser.add_argument("--subtract", help="FV3 history file to subtract") parser.add_argument("-t", "--twindow", type=float, default=3, help="time window in hours") @@ -68,7 +66,6 @@ def main(): ifile = args.historyfile variable = args.statevariable config = args.config - dindex = args.dindex ncols = args.ncols nofineprint = args.nofineprint ofile = args.ofile @@ -144,9 +141,8 @@ def main(): "validtime not provided on command line. Using last time in history file %s.", validtime) time0 = validtime - twindow - if time0 not in fv3ds.time: - logging.info("time0 %s not in history file. add it.", time0) - fv3ds = physics_tend.add_time0(fv3ds, variable, fv3) + assert time0 in fv3ds.time, (f"time0 {time0} not in history file. Closest is " + f"{fv3ds.time.sel(time=time0, method='nearest').time.data}") # list of tendency variable names for requested state variable tendency_vars = fv3["tendency_varnames"][variable] @@ -229,19 +225,11 @@ def main(): # For MetPy. Otherwise, mb is interpreted as millibarn. da2plot.metpy.vertical.attrs["units"] = "hPa" - # dequantify moves units from DataArray to attributes. Now they show up in colorbar. - # And they aren't lost in xarray.DataArray.interp. - da2plot = da2plot.metpy.dequantify() - # Make default dimensions of facetgrid kind of square. if not ncols: # Default # of cols is square root of # of panels ncols = int(np.ceil(np.sqrt(len(da2plot)))) - if da2plot["pfull"].size == 1: - # Avoid ValueError in pcolormesh(). - da2plot = da2plot.squeeze() - # Kludgy steps to prepare metadata for metpy cross section # grid_yt and grid_xt confuse metpy da2plot = da2plot.drop_vars(['grid_yt', 'grid_xt', 'long_name']).rename( @@ -254,21 +242,22 @@ def main(): longitude_of_central_meridian=-97.5, latitude_of_projection_origin=fv3["standard_parallel"]).metpy.assign_y_x( force=True, tolerance=44069*units.m) - # Define cross section. Use different variable than da2plot because da2plot is used later for - # inset. Upgrade to xarray to 0.21.1 to avoid - # FutureWarning: Passing method to Float64Index.get_loc is deprecated + logging.info("Define cross section.") cross = cross_section(da2plot, startpt, endpt) + # dequantify moves units from DataArray to attributes. Now they show up in colorbar. + da2plot = da2plot.metpy.dequantify() + logging.info("plot pcolormesh") # normalized width and height of inset. Shrink colorbar to provide space. wid_inset, hgt_inset = 0.18, 0.18 - pcm = cross.plot.pcolormesh(x="index", y="pfull", yincrease=False, col=col, col_wrap=ncols, - robust=robust, infer_intervals=True, vmin=vmin, vmax=vmax, cmap=fv3["cmap"], + pcm = cross.squeeze().plot.pcolormesh(x="lont", y="pfull", yincrease=False, + col=col, col_wrap=ncols, robust=robust, infer_intervals=True, + vmin=vmin, vmax=vmax, cmap=fv3["cmap"], cbar_kwargs={'shrink': 1-hgt_inset, 'anchor': (0, 0.25-hgt_inset)}) for ax in pcm.axes.flat: ax.grid(visible=True, color="grey", alpha=0.5, lw=0.5) - ax.xaxis.set_major_locator(MultipleLocator(dindex)) ax.yaxis.set_major_locator(MultipleLocator(100)) ax.yaxis.set_minor_locator(MultipleLocator(25)) ax.grid(which="minor", alpha=0.3, lw=0.4) @@ -283,13 +272,12 @@ def main(): # Locate cross section on conus map background. Put in inset. data_crs = da2plot.metpy.cartopy_crs ax_inset = plt.gcf().add_axes( - [.999-wid_inset, .999-hgt_inset, wid_inset, hgt_inset], projection=data_crs) + [.995-wid_inset, .999-hgt_inset, wid_inset, hgt_inset], projection=data_crs) # Plot the endpoints of the cross section (make sure they match path) endpoints = data_crs.transform_points( cartopy.crs.Geodetic(), *np.vstack([startpt, endpt]).transpose()[::-1]) - bb = ax_inset.scatter( - endpoints[:, 0], endpoints[:, 1], s=1.3, c='k', zorder=2) - ax_inset.scatter(cross['x'][dindex::dindex], cross['y'][dindex::dindex], + bb = ax_inset.scatter(endpoints[:, 0], endpoints[:, 1], c='k', zorder=2) + ax_inset.scatter(cross['x'], cross['y'], s=3.4, c='white', linewidths=0.2, edgecolors='k', zorder=bb.get_zorder()+1) # Plot the path of the cross section ax_inset.plot(cross['x'], cross['y'], c='k', zorder=2) diff --git a/metplotpy/contributed/fv3_physics_tend/physics_tend.py b/metplotpy/contributed/fv3_physics_tend/physics_tend.py index 491e5874..dad0dab0 100644 --- a/metplotpy/contributed/fv3_physics_tend/physics_tend.py +++ b/metplotpy/contributed/fv3_physics_tend/physics_tend.py @@ -19,53 +19,6 @@ def add_conus_features(ax): '50m'), edgecolor='k', linewidth=0.25, facecolor='k', alpha=0.1) return ax - -def add_time0(ds, variable, fv3, interval=np.timedelta64(1, 'h')): - """ - Return new Dataset with time0 (initialization time) - Assume initialization time is "interval" before first time - in ds. Interval is 1 hour by default, but can be changed. - """ - tendency_varnames = fv3["tendency_varnames"] - time0_varname = fv3["time0_varname"] - # This takes a while so only keep requested state variable and - # its tendency_varnames. - tokeep = tendency_varnames[variable].copy() - tokeep.append(time0_varname[variable]) - tokeep.append(variable) - ds = ds[tokeep] - - # Return new Dataset with time0 (initialization time) - # Assume initialization time is an interval before first time - # in ds. Interval is 1 hour by default, but can be changed. - time0 = ds.time.values[0] - interval - times = np.insert(ds.time.values, 0, time0) # new time array - # Allocate new Dataset with additional time at time0 - # extract ds.coords as dictionary so it can be changed. - coords = dict(ds.coords) - coords.update({"time":times}) - data_vars = {} - dims = ds[variable].dims - # state variable at time0 and other times - vari = ds[time0_varname[variable]] - data = np.insert(ds[variable].data, 0, vari.data, axis=0) - data_vars[variable] = (dims, data) - # tendency=0 at time0 - logging.info(f"Adding time0 to {variable}. This could take a while...") - # for tendency in tqdm(tendency_varnames[variable]): - for tendency in tendency_varnames[variable]: - logging.debug(tendency) - dims = ds[tendency].dims - data = ds[tendency].data - data = np.insert(data, 0, np.zeros_like(data[0]), axis=0) - data_vars[tendency] = (dims, data) - ds0 = xarray.Dataset(data_vars=data_vars, coords=coords) - ds0.attrs = ds.attrs - for da in ds0: - ds0[da].attrs = ds[da].attrs - return ds0 - - def pts_in_shp(lats, lons, shp): # Map longitude to -180 to +180 range lons = np.where(lons > 180, lons-360, lons) diff --git a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py index 789fe302..acde5971 100644 --- a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py @@ -10,7 +10,7 @@ import pandas as pd import xarray import yaml -from . import physics_tend +import physics_tend def parse_args(): """ @@ -149,9 +149,8 @@ def main(): "validtime not provided on command line. Using last time in history file %s.", validtime) time0 = validtime - twindow - if time0 not in fv3ds.time: - logging.info("time0 %s not in history file. add it.", time0) - fv3ds = physics_tend.add_time0(fv3ds, variable, fv3) + assert time0 in fv3ds.time, (f"time0 {time0} not in history file. Closest is " + f"{fv3ds.time.sel(time=time0, method='nearest').time.data}") # list of tendency variable names for requested state variable tendency_vars = fv3["tendency_varnames"][variable] @@ -244,7 +243,7 @@ def main(): # And they aren't lost in xarray.DataArray.interp. da2plot = da2plot.metpy.dequantify() - # Select vertical levels. + logging.info(f"Select vertical levels with '{method}' method") if method == "nearest": da2plot = da2plot.metpy.sel( vertical=pfull, method=method, tolerance=10.*units.hPa) @@ -298,7 +297,7 @@ def main(): # Add time to title title = f'{time0}-{validtime} ({twindow_quantity.to("hours"):~} time window)' if col == tendency_dim: - title = f'pfull={pfull[0]:~.0f} {title}' + title = f'pfull={da2plot.pfull.metpy.quantify().data:~.1f} {title}' elif 'long_name' in da2plot.coords: title = f'{da2plot.coords["long_name"].data} {title}' plt.suptitle(title, wrap=True) diff --git a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py index 46d554cc..20072ed9 100644 --- a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py @@ -10,7 +10,7 @@ import pandas as pd import xarray import yaml -from . import physics_tend +import physics_tend def parse_args(): """ @@ -136,9 +136,8 @@ def main(): "validtime not provided on command line. Using last time in history file %s.", validtime) time0 = validtime - twindow - if time0 not in fv3ds.time: - logging.info("time0 %s not in history file. add it.", time0) - fv3ds = physics_tend.add_time0(fv3ds, variable, fv3) + assert time0 in fv3ds.time, (f"time0 {time0} not in history file. Closest is " + f"{fv3ds.time.sel(time=time0, method='nearest').time.data}") # list of tendency variable names for requested state variable tendency_vars = fv3["tendency_varnames"][variable] diff --git a/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml b/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml index 238013dd..748a2d8b 100644 --- a/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml +++ b/test/fv3_physics_tend/fv3_physics_tend_defaults.yaml @@ -36,12 +36,6 @@ tendency_varnames: - dtend_v_phys - dtend_v_nophys -# Name of variables in history file that contain the temperature, moisture, wind at time zero (initialization time). -time0_varname: - tmp : temp_i - spfh: qv_i - ugrd: u_i - vgrd: v_i # Name of the longitude and latitude variables in the grid specification file. 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+++ b/docs/Users_Guide/fv3_physics.rst @@ -288,52 +288,49 @@ Vertical Cross Section :: - usage: cross_section_vert.py [-h] [-d] [--dindex DINDEX] [--ncols NCOLS] [--nofineprint] - [--norobust] [-o OFILE] [-s START START] [-e END END] - [--subtract SUBTRACT] [-t TWINDOW] [-v VALIDTIME] - [--vmin VMIN] [--vmax VMAX] - config historyfile gridfile statevariable - - Vertical cross section of FV3 diagnostic tendency - - positional arguments: - config yaml configuration file - historyfile FV3 history file - gridfile FV3 grid spec file - statevariable moisture, temperature, or wind component variable name - - optional arguments: - -h, --help show this help message and exit - -d, --debug - --dindex DINDEX tick and gridline interval along cross section (default: 20) - --ncols NCOLS number of columns (default: None) - --nofineprint Don't add metadata and created by date (for comparing images) - (default: False) - --norobust compute colormap range with extremes, not 2nd and 98th - percentiles (default: False) - -o OFILE, --ofile OFILE - name of output image file (default: None) - -s START START, --start START START - start point (default: (28, -115)) - -e END END, --end END END - end point (default: (30, -82)) - --subtract SUBTRACT FV3 history file to subtract (default: None) - -t TWINDOW, --twindow TWINDOW - time window in hours (default: 3) - -v VALIDTIME, --validtime VALIDTIME - valid time (default: None) - --vmin VMIN color bar minimum (overrides robust=True) (default: None) - --vmax VMAX color bar maximum (overrides robust=True) (default: None) - -Generate vertical cross section from 32°N 119°W to 34°N 87°W. Compress colormap range to -[-0.006, 0.006] with --vmin and --vmax. +usage: cross_section_vert.py [-h] [-d] [--ncols NCOLS] [--nofineprint] [--norobust] [-o OFILE] + [-s START START] [-e END END] [--subtract SUBTRACT] [-t TWINDOW] + [-v VALIDTIME] [--vmin VMIN] [--vmax VMAX] + config historyfile gridfile statevariable + +Vertical cross section of FV3 diagnostic tendencies + +positional arguments: + config yaml configuration file + historyfile FV3 history file + gridfile FV3 grid spec file + statevariable moisture, temperature, or wind component variable name + +optional arguments: + -h, --help show this help message and exit + -d, --debug + --ncols NCOLS number of columns (default: None) + --nofineprint Don't add metadata and created by date (for comparing images) (default: False) + --norobust compute colormap range with extremes, not 2nd and 98th percentiles (default: + False) + -o OFILE, --ofile OFILE + name of output image file (default: None) + -s START START, --start START START + start point lat lon (default: (28, -115)) + -e END END, --end END END + end point lat lon (default: (30, -82)) + --subtract SUBTRACT FV3 history file to subtract (default: None) + -t TWINDOW, --twindow TWINDOW + time window in hours (default: 3) + -v VALIDTIME, --validtime VALIDTIME + valid time (default: None) + --vmin VMIN color bar minimum (overrides robust=True) (default: None) + --vmax VMAX color bar maximum (overrides robust=True) (default: None) + +Generate vertical cross section of u-wind tendencies from 28°N 120°W to 26°N 75°W over one-hour +time window ending 23z June 15, 2019. .. code-block:: bash python cross_section_vert.py $CONFIG $WORKING_DIR/fv3_history.nc $WORKING_DIR/grid_spec.nc tmp \ - -t 1 -v 20190615T20 -s 32 -119 -e 34 -87 --vmin -0.0006 --vmax 0.0006 --nofineprint + -t 1 -v "2019-06-15 23" -s 28 -120 -e 26 -75 --nofineprint -.. image:: figure/tmp_32.0N-119.0E-34.0N-87.0E.png +.. image:: figure/ugrd_28.0N-120.0E-26.0N-75.0E.png Difference Plot --------------- From a94f8ecee4488da5a88f2dc175e100bbaa3d7eae Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Mon, 7 Aug 2023 14:16:48 -0600 Subject: [PATCH 19/32] fix .rst format warnings/errors --- docs/Users_Guide/fv3_physics.rst | 68 ++++++++++++++++---------------- 1 file changed, 34 insertions(+), 34 deletions(-) diff --git a/docs/Users_Guide/fv3_physics.rst b/docs/Users_Guide/fv3_physics.rst index 9dd2cd55..cdd3e86a 100644 --- a/docs/Users_Guide/fv3_physics.rst +++ b/docs/Users_Guide/fv3_physics.rst @@ -119,7 +119,7 @@ Derived tendency variables that show up in plots: +-----------------------------+-------------------+-------------------+----------------+----------------+ If time window overlaps initialization time ----------------------------- +------------------------------------------- The history file does not necessarily have the temperature, moisture, or wind at the exact time of model initialization. It is usally the next timestep (e.g. 180 seconds later). @@ -288,39 +288,39 @@ Vertical Cross Section :: -usage: cross_section_vert.py [-h] [-d] [--ncols NCOLS] [--nofineprint] [--norobust] [-o OFILE] - [-s START START] [-e END END] [--subtract SUBTRACT] [-t TWINDOW] - [-v VALIDTIME] [--vmin VMIN] [--vmax VMAX] - config historyfile gridfile statevariable - -Vertical cross section of FV3 diagnostic tendencies - -positional arguments: - config yaml configuration file - historyfile FV3 history file - gridfile FV3 grid spec file - statevariable moisture, temperature, or wind component variable name - -optional arguments: - -h, --help show this help message and exit - -d, --debug - --ncols NCOLS number of columns (default: None) - --nofineprint Don't add metadata and created by date (for comparing images) (default: False) - --norobust compute colormap range with extremes, not 2nd and 98th percentiles (default: - False) - -o OFILE, --ofile OFILE - name of output image file (default: None) - -s START START, --start START START - start point lat lon (default: (28, -115)) - -e END END, --end END END - end point lat lon (default: (30, -82)) - --subtract SUBTRACT FV3 history file to subtract (default: None) - -t TWINDOW, --twindow TWINDOW - time window in hours (default: 3) - -v VALIDTIME, --validtime VALIDTIME - valid time (default: None) - --vmin VMIN color bar minimum (overrides robust=True) (default: None) - --vmax VMAX color bar maximum (overrides robust=True) (default: None) + usage: cross_section_vert.py [-h] [-d] [--ncols NCOLS] [--nofineprint] [--norobust] [-o OFILE] + [-s START START] [-e END END] [--subtract SUBTRACT] [-t TWINDOW] + [-v VALIDTIME] [--vmin VMIN] [--vmax VMAX] + config historyfile gridfile statevariable + + Vertical cross section of FV3 diagnostic tendencies + + positional arguments: + config yaml configuration file + historyfile FV3 history file + gridfile FV3 grid spec file + statevariable moisture, temperature, or wind component variable name + + optional arguments: + -h, --help show this help message and exit + -d, --debug + --ncols NCOLS number of columns (default: None) + --nofineprint Don't add metadata and created by date (for comparing images) (default: False) + --norobust compute colormap range with extremes, not 2nd and 98th percentiles (default: + False) + -o OFILE, --ofile OFILE + name of output image file (default: None) + -s START START, --start START START + start point lat lon (default: (28, -115)) + -e END END, --end END END + end point lat lon (default: (30, -82)) + --subtract SUBTRACT FV3 history file to subtract (default: None) + -t TWINDOW, --twindow TWINDOW + time window in hours (default: 3) + -v VALIDTIME, --validtime VALIDTIME + valid time (default: None) + --vmin VMIN color bar minimum (overrides robust=True) (default: None) + --vmax VMAX color bar maximum (overrides robust=True) (default: None) Generate vertical cross section of u-wind tendencies from 28°N 120°W to 26°N 75°W over one-hour time window ending 23z June 15, 2019. 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b/docs/Users_Guide/fv3_physics.rst @@ -323,12 +323,12 @@ Vertical Cross Section --vmax VMAX color bar maximum (overrides robust=True) (default: None) Generate vertical cross section of u-wind tendencies from 28°N 120°W to 26°N 75°W over one-hour -time window ending 23z June 15, 2019. +time window ending 20z June 15, 2019. .. code-block:: bash - python cross_section_vert.py $CONFIG $WORKING_DIR/fv3_history.nc $WORKING_DIR/grid_spec.nc tmp \ - -t 1 -v "2019-06-15 23" -s 28 -120 -e 26 -75 --nofineprint + python cross_section_vert.py $CONFIG $WORKING_DIR/fv3_history.nc $WORKING_DIR/grid_spec.nc ugrd \ + -t 1 -v "2019-06-15 20" -s 28 -120 -e 26 -75 --nofineprint .. image:: figure/ugrd_28.0N-120.0E-26.0N-75.0E.png diff --git a/metplotpy/contributed/fv3_physics_tend/pare_down_history.csh b/metplotpy/contributed/fv3_physics_tend/pare_down_history.csh index fac4770a..b7700a4b 100755 --- a/metplotpy/contributed/fv3_physics_tend/pare_down_history.csh +++ b/metplotpy/contributed/fv3_physics_tend/pare_down_history.csh @@ -2,8 +2,11 @@ module load nco set historyfile=/glade/scratch/mwong/dave/sample_cases/CONUS_25km_GFSv15p2/2019050412/fv3_history.nc +set historyfile=/glade/campaign/mmm/parc/ahijevyc/METplotpy/DavidA_fv3_history_etc_files/fv3_history.nc set gridspec=/glade/scratch/mwong/dave/sample_cases/CONUS_25km_GFSv15p2/2019050412/grid_spec.nc +set gridspec=/glade/campaign/mmm/parc/ahijevyc/METplotpy/DavidA_fv3_history_etc_files/grid_spec.nc -ncks -x -v phalf,refl_10cm,hgtsfc,pressfc,grle,snmr,rwmr,icmr,dzdt,delz,dpres,o3mr,clwmr,zsurf -d time,0,1 $historyfile `basename $historyfile` -ncks -v grid_xt,grid_yt,grid_lont,grid_latt,area $gridspec +# extract variables +ncks -v pfull,time,spfh,dtend_qv_pbl,dtend_qv_deepcnv,dtend_qv_shalcnv,dtend_qv_mp,dtend_qv_phys,dtend_qv_nophys,tmp,dtend_temp_lw,dtend_temp_sw,dtend_temp_pbl,dtend_temp_deepcnv,dtend_temp_shalcnv,dtend_temp_mp,dtend_temp_orogwd,dtend_temp_cnvgwd,dtend_temp_phys,dtend_temp_nophys,ugrd,dtend_u_pbl,dtend_u_orogwd,dtend_u_deepcnv,dtend_u_cnvgwd,dtend_u_shalcnv,dtend_u_phys,dtend_u_nophys,vgrd,dtend_v_pbl,dtend_v_orogwd,dtend_v_deepcnv,dtend_v_cnvgwd,dtend_v_shalcnv,dtend_v_phys,dtend_v_nophys -d time,0,2 $historyfile `basename $historyfile` +ncks -v grid_xt,grid_yt,grid_lont,grid_latt,area $gridspec $gridspec From f5b38b65019bad8727b87be6bb1e1ac59a8c6358 Mon Sep 17 00:00:00 2001 From: David Ahijevych Date: Wed, 9 Aug 2023 10:50:45 -0600 Subject: [PATCH 21/32] Update fv3_physics.rst include --resid option in --subtract example --- docs/Users_Guide/fv3_physics.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/Users_Guide/fv3_physics.rst b/docs/Users_Guide/fv3_physics.rst index 658025fe..b22f147f 100644 --- a/docs/Users_Guide/fv3_physics.rst +++ b/docs/Users_Guide/fv3_physics.rst @@ -341,7 +341,7 @@ Put file you want to subtract after the --subtract argument: .. code-block:: bash python vert_profile_fv3.py $CONFIG $WORKING_DIR/fv3_history.nc $WORKING_DIR/grid_spec.nc tmp \ - -t 1 --subtract $WORKING_DIR/fv3_history.nc --nofineprint + -t 1 --subtract $WORKING_DIR/fv3_history.nc --resid --nofineprint .. image:: figure/tmp.vert_profile.png From 860596578e352dd948d93791f73b7282db6e92fb Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Tue, 15 Aug 2023 11:10:46 -0600 Subject: [PATCH 22/32] Jeff Beck (NOAA) file --- metplotpy/contributed/fv3_physics_tend/cross_section_vert.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py index 32310cde..4ef7745d 100644 --- a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py +++ b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py @@ -241,7 +241,7 @@ def main(): standard_parallel=fv3["standard_parallel"], longitude_of_central_meridian=-97.5, latitude_of_projection_origin=fv3["standard_parallel"]).metpy.assign_y_x( - force=True, tolerance=44069*units.m) + force=True, tolerance=55000*units.m) logging.info("Define cross section.") cross = cross_section(da2plot, startpt, endpt) From 4ae47192a55470054c2919643e22918000480e5e Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Tue, 15 Aug 2023 13:43:35 -0600 Subject: [PATCH 23/32] open ifile with dask. supply name to stacked dataarray to avaoid obscure default name like "stack-23412h4234kj" --- metplotpy/contributed/fv3_physics_tend/cross_section_vert.py | 4 ++-- metplotpy/contributed/fv3_physics_tend/planview_fv3.py | 4 ++-- metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py | 4 ++-- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py index 4ef7745d..9e22070a 100644 --- a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py +++ b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py @@ -109,7 +109,7 @@ def main(): # Open input file logging.debug("open %s", ifile) - fv3ds = xarray.open_dataset(ifile) + fv3ds = xarray.open_mfdataset(ifile) if subtract: logging.info("subtracting %s", subtract) @@ -176,7 +176,7 @@ def main(): # Stack variables along new tendency dimension of new DataArray. tendency_dim = f"{variable} tendency" - tendencies_avg = tendencies_avg.to_array(dim=tendency_dim) + tendencies_avg = tendencies_avg.to_array(dim=tendency_dim, name=tendency_dim) # Assign long_names to a new DataArray coordinate. # It will have the same shape as tendency dimension. tendencies_avg = tendencies_avg.assign_coords( diff --git a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py index acde5971..027d20d3 100644 --- a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py @@ -117,7 +117,7 @@ def main(): # Open input file logging.debug("open %s", ifile) - fv3ds = xarray.open_dataset(ifile) + fv3ds = xarray.open_mfdataset(ifile) if subtract: logging.info("subtracting %s", subtract) @@ -184,7 +184,7 @@ def main(): # Stack variables along new tendency dimension of new DataArray. tendency_dim = f"{variable} tendency" - tendencies_avg = tendencies_avg.to_array(dim=tendency_dim) + tendencies_avg = tendencies_avg.to_array(dim=tendency_dim, name=tendency_dim) # Assign long_names to a new DataArray coordinate. # It will have the same shape as tendency dimension. tendencies_avg = tendencies_avg.assign_coords( diff --git a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py index 20072ed9..a8ddd148 100644 --- a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py @@ -104,7 +104,7 @@ def main(): # Open input file logging.debug("open %s", ifile) - fv3ds = xarray.open_dataset(ifile) + fv3ds = xarray.open_mfdataset(ifile) if subtract: logging.info("subtracting %s", subtract) @@ -171,7 +171,7 @@ def main(): # Stack variables along new tendency dimension of new DataArray. tendency_dim = f"{variable} tendency" - tendencies_avg = tendencies_avg.to_array(dim=tendency_dim) + tendencies_avg = tendencies_avg.to_array(dim=tendency_dim, name=tendency_dim) # Assign long_names to a new DataArray coordinate. # It will have the same shape as tendency dimension. tendencies_avg = tendencies_avg.assign_coords( From b03bf908370b3551482fd363a132357ebf475005 Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Tue, 15 Aug 2023 16:02:18 -0600 Subject: [PATCH 24/32] don't drop=True when masking shapefile avoids error about Fancy indexing not implemented 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dequantify moves units from DataArray to attributes. Now they show up in colorbar. + # and avoid NotImplementedError: Don't yet support nd fancy indexing from cross_section() da2plot = da2plot.metpy.dequantify() + logging.info("Define cross section.") + cross = cross_section(da2plot, startpt, endpt) + logging.info("plot pcolormesh") # normalized width and height of inset. Shrink colorbar to provide space. wid_inset, hgt_inset = 0.18, 0.18 @@ -287,7 +289,7 @@ def main(): # Annotate figure with args namespace and timestamp fineprint = f"{args} " - fineprint += f", created {datetime.datetime.now(tz=None)}" + fineprint += f"created {datetime.datetime.now(tz=None)}" if nofineprint: logging.debug(fineprint) else: diff --git a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py index b3ad5956..215bb46b 100644 --- a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py @@ -300,9 +300,9 @@ def main(): title = f'{da2plot.coords["long_name"].data} {title}' plt.suptitle(title, wrap=True) - # Annotate figure with args namespace, total area, and timestamp + # Annotate figure with args namespace and timestamp fineprint = f"{args} " - fineprint += (f"created {datetime.datetime.now(tz=None)}") + fineprint += f"created {datetime.datetime.now(tz=None)}" if nofineprint: logging.debug(fineprint) else: From b63c28ff453892004aa92a5e345d7556611f2316 Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Tue, 22 Aug 2023 08:51:14 -0600 Subject: [PATCH 26/32] remove standard_parallels=None cartopy changed the default params of the LambertConformal class from `standard_parallels = None` to `standard_parallels = (33, 45)` between v0.20.2 and v0.22. I fixed the problem by removing `standard_parallels=None`. --- metplotpy/contributed/fv3_physics_tend/planview_fv3.py | 2 +- metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py index 215bb46b..aa7dde36 100644 --- a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py @@ -278,7 +278,7 @@ def main(): # release/public-v1/ush/Python/plot_allvars.py subplot_kws = { "projection": cartopy.crs.LambertConformal( - central_longitude=-97.6, central_latitude=35.4, standard_parallels=None)} + central_longitude=-97.6, central_latitude=35.4)} logging.debug("plot pcolormesh") if robust: diff --git a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py index 909afad5..7c1170b5 100644 --- a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py @@ -285,9 +285,9 @@ def main(): extent = fv3["extent"] ax_inset.set_extent(extent) - # Annotate figure with args namespace, total area, and timestamp + # Annotate figure with args namespace and timestamp fineprint = f"{args} " - fineprint += (f"created {datetime.datetime.now(tz=None)}") + fineprint += f"created {datetime.datetime.now(tz=None)}" if nofineprint: logging.debug(fineprint) else: From e2d56939a2c7a7921b0d9bce942728852f156247 Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Tue, 22 Aug 2023 09:11:34 -0600 Subject: [PATCH 27/32] note about central_lat in planview --- metplotpy/contributed/fv3_physics_tend/planview_fv3.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py index aa7dde36..8cfec71e 100644 --- a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py @@ -276,6 +276,8 @@ def main(): # central lon/lat from https://github.com/NOAA-EMC/regional_workflow/blob/ # release/public-v1/ush/Python/plot_allvars.py + # switching from central_latitude=35.4 to central_latitude=fv3["standard_parallel"] + # (38.139 as of Aug 22, 2023) did not change plot appearance. subplot_kws = { "projection": cartopy.crs.LambertConformal( central_longitude=-97.6, central_latitude=35.4)} From 97a2c8e8e5e8c023cbddffa799e4de670abe20f4 Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Thu, 24 Aug 2023 11:17:40 -0600 Subject: [PATCH 28/32] revert to open_dataset from open_mfdataset to avoid TypeError: The dtype and signature arguments to ufuncs only select the general DType and not details such as the byte order or time unit. You can avoid this error by using the scalar types np.float64 or the dtype string notation. xarray 2022.3.0 was okay with how I handled xarray DataArrays with units (pint quantities), but xarray 2023.5.0 is not okay. --- .../contributed/fv3_physics_tend/cross_section_vert.py | 6 +++--- metplotpy/contributed/fv3_physics_tend/planview_fv3.py | 6 +++--- metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py | 6 +++--- 3 files changed, 9 insertions(+), 9 deletions(-) diff --git a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py index 7f922056..2a4a0501 100644 --- a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py +++ b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py @@ -103,18 +103,18 @@ def main(): # Read lat/lon from gfile logging.debug(f"read lat/lon from {gfile}") - gds = xarray.open_mfdataset(gfile) + gds = xarray.open_dataset(gfile) lont = gds[fv3["lon_name"]] latt = gds[fv3["lat_name"]] # Open input file logging.debug("open %s", ifile) - fv3ds = xarray.open_mfdataset(ifile) + fv3ds = xarray.open_dataset(ifile) if subtract: logging.info("subtracting %s", subtract) with xarray.set_options(keep_attrs=True): - fv3ds -= xarray.open_mfdataset(subtract) + fv3ds -= xarray.open_dataset(subtract) datetimeindex = fv3ds.indexes['time'] if hasattr(datetimeindex, "to_datetimeindex"): diff --git a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py index 8cfec71e..4239fad9 100644 --- a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py @@ -110,19 +110,19 @@ def main(): # Read lat/lon/area from gfile logging.debug(f"read lat/lon/area from {gfile}") - gds = xarray.open_mfdataset(gfile) + gds = xarray.open_dataset(gfile) lont = gds[fv3["lon_name"]] latt = gds[fv3["lat_name"]] area = gds["area"] # Open input file logging.debug("open %s", ifile) - fv3ds = xarray.open_mfdataset(ifile) + fv3ds = xarray.open_dataset(ifile) if subtract: logging.info("subtracting %s", subtract) with xarray.set_options(keep_attrs=True): - fv3ds -= xarray.open_mfdataset(subtract) + fv3ds -= xarray.open_dataset(subtract) datetimeindex = fv3ds.indexes['time'] if hasattr(datetimeindex, "to_datetimeindex"): diff --git a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py index 7c1170b5..be20359f 100644 --- a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py @@ -97,19 +97,19 @@ def main(): # Read lat/lon/area from gfile logging.debug(f"read lat/lon/area from {gfile}") - gds = xarray.open_mfdataset(gfile) + gds = xarray.open_dataset(gfile) lont = gds[fv3["lon_name"]] latt = gds[fv3["lat_name"]] area = gds["area"] # Open input file logging.debug("open %s", ifile) - fv3ds = xarray.open_mfdataset(ifile) + fv3ds = xarray.open_dataset(ifile) if subtract: logging.info("subtracting %s", subtract) with xarray.set_options(keep_attrs=True): - fv3ds -= xarray.open_mfdataset(subtract) + fv3ds -= xarray.open_dataset(subtract) datetimeindex = fv3ds.indexes['time'] if hasattr(datetimeindex, "to_datetimeindex"): From f961020b7240517d054407fdd3a20a60afe9ca18 Mon Sep 17 00:00:00 2001 From: ahijevyc Date: Thu, 6 Jun 2024 09:43:40 -0600 Subject: [PATCH 29/32] Fixed 3 MPL depreciation errors --- metplotpy/contributed/fv3_physics_tend/cross_section_vert.py | 2 +- metplotpy/contributed/fv3_physics_tend/planview_fv3.py | 2 +- metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py | 4 ++-- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py index 2a4a0501..0b2b7944 100644 --- a/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py +++ b/metplotpy/contributed/fv3_physics_tend/cross_section_vert.py @@ -258,7 +258,7 @@ def main(): vmin=vmin, vmax=vmax, cmap=fv3["cmap"], cbar_kwargs={'shrink': 1-hgt_inset, 'anchor': (0, 0.25-hgt_inset)}) - for ax in pcm.axes.flat: + for ax in pcm.axs.flat: ax.grid(visible=True, color="grey", alpha=0.5, lw=0.5) ax.yaxis.set_major_locator(MultipleLocator(100)) ax.yaxis.set_minor_locator(MultipleLocator(25)) diff --git a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py index 4239fad9..40bfec93 100644 --- a/metplotpy/contributed/fv3_physics_tend/planview_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/planview_fv3.py @@ -289,7 +289,7 @@ def main(): infer_intervals=True, transform=cartopy.crs.PlateCarree(), vmin=vmin, vmax=vmax, cmap=fv3["cmap"], cbar_kwargs={'shrink': 0.8}, subplot_kws=subplot_kws) - for ax in pcm.axes.flat: + for ax in pcm.axs.flat: # Why needed only when col=tendency_dim? With col="pfull" it shrinks to unmasked size. ax.set_extent(fv3["extent"]) physics_tend.add_conus_features(ax) diff --git a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py index be20359f..96d5b09f 100644 --- a/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py +++ b/metplotpy/contributed/fv3_physics_tend/vert_profile_fv3.py @@ -253,7 +253,7 @@ def main(): # zip d{variable}, resid line and their respective legend handles together and change # their style together. # [-2:] means take last two elements of da2plot. - special_lines = list(zip(lines, ax.get_legend().legendHandles))[-2:] + special_lines = list(zip(lines, ax.get_legend().legend_handles))[-2:] special_marker = 'o' special_marker_size = 3 for line, leghandle in special_lines: @@ -276,7 +276,7 @@ def main(): cbar_kwargs = {"ticks":[0.25, 0.75], "shrink":0.6} pcm = mask.assign_coords(lont=lont, latt=latt).astype(int).plot.pcolormesh( ax=ax_inset, x="lont", y="latt", infer_intervals=True, - transform=cartopy.crs.PlateCarree(), cmap=plt.cm.get_cmap('cool', 2), + transform=cartopy.crs.PlateCarree(), cmap=plt.colormaps['cool'], add_labels=False, cbar_kwargs=cbar_kwargs) pcm.colorbar.ax.set_yticklabels( ["masked", "valid"], fontsize='xx-small') From e0d740b7b00338e7883dba8367bf488a4afd8b2d Mon Sep 17 00:00:00 2001 From: bikegeek Date: Thu, 6 Jun 2024 15:10:06 -0600 Subject: [PATCH 30/32] Updated date to reflect updated data --- test/fv3_physics_tend/runner_planview.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/test/fv3_physics_tend/runner_planview.py b/test/fv3_physics_tend/runner_planview.py index 5d993406..ce05fb2a 100644 --- a/test/fv3_physics_tend/runner_planview.py +++ b/test/fv3_physics_tend/runner_planview.py @@ -26,7 +26,7 @@ def run_example(config_file): config = open_config(config_file) command_str = "python " + config['source_dir'] + "/planview_fv3.py " + " ./fv3_physics_tend_defaults.yaml " + \ config['history_file'] + " " + config[ - 'grid_file'] + " tmp pbl -p 500 -t 1 -v 20190504T14 --nofineprint " + 'grid_file'] + " tmp pbl -p 500 -t 1 -v 20190615T20 --nofineprint " print("command string: ", command_str) os.system(command_str) @@ -37,7 +37,7 @@ def run_with_novel_output_file(config_file): config = open_config(config_file) command_str = "python " + config['source_dir'] + "/planview_fv3.py " + " ./fv3_physics_tend_defaults.yaml " + \ config['history_file'] + " " + config[ - 'grid_file'] + " tmp pbl -p 500 -t 1 -v 20190504T14 --nofineprint -o ./test_planview.png" + 'grid_file'] + " tmp pbl -p 500 -t 1 -v 20190615T20 --nofineprint -o ./test_planview.png" print("command string: ", command_str) os.system(command_str) @@ -45,7 +45,7 @@ def run_with_novel_output_dir(config_file): '''Run the example in the user's guide specifying a non-existent output directory''' config = open_config(config_file) command_str = "python " + config['source_dir'] + "/planview_fv3.py " + " ./fv3_physics_tend_defaults.yaml " + \ - config['history_file'] + " " + config['grid_file']+ " tmp pbl -p 500 -t 1 -v 20190504T14 --nofineprint \ + config['history_file'] + " " + config['grid_file']+ " tmp pbl -p 500 -t 1 -v 20190615T20 --nofineprint \ -o ./output/test_planview.png" print("command string: ", command_str) os.system(command_str) From 13376833e440cc636c8b7b2ec8f3f2646a442e88 Mon Sep 17 00:00:00 2001 From: bikegeek Date: Thu, 6 Jun 2024 15:14:42 -0600 Subject: [PATCH 31/32] updated the date to correspond to updated data and changed time window --- test/fv3_physics_tend/runner_vert_cross.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/test/fv3_physics_tend/runner_vert_cross.py b/test/fv3_physics_tend/runner_vert_cross.py index ff3acb1a..9fcadf5e 100644 --- a/test/fv3_physics_tend/runner_vert_cross.py +++ b/test/fv3_physics_tend/runner_vert_cross.py @@ -24,7 +24,7 @@ def run_example(config_file): config = open_config(config_file) command_str = "python " + config['source_dir'] + "/cross_section_vert.py " + " ./fv3_physics_tend_defaults.yaml " + \ config['history_file'] + " " + config[ - 'grid_file'] + " tmp -t 2 -v 20190504T14 -s 32 -115 -e 34 -82 --nofineprint " + 'grid_file'] + " tmp -t 1 -v 20190615T20 -s 32 -115 -e 34 -82 --nofineprint " print("command string: ", command_str) os.system(command_str) @@ -34,7 +34,7 @@ def run_with_novel_output_file(config_file): config = open_config(config_file) command_str = "python " + config['source_dir'] + "/cross_section_vert.py " + " ./fv3_physics_tend_defaults.yaml " + \ config['history_file'] + " " + config[ - 'grid_file'] + " tmp -t 2 -v 20190504T14 -s 32 -115 -e 34 -82 -o ./test_vert_cross.png --nofineprint " + 'grid_file'] + " tmp -t 1 -v 20190615T20 -s 32 -115 -e 34 -82 -o ./test_vert_cross.png --nofineprint " print("command string: ", command_str) os.system(command_str) @@ -43,7 +43,7 @@ def run_with_novel_output_dir(config_file): config = open_config(config_file) command_str = "python " + config['source_dir'] + "/cross_section_vert.py " + " ./fv3_physics_tend_defaults.yaml " + \ config['history_file'] + " " + config[ - 'grid_file'] + " tmp -t 2 -v 20190504T14 -s 32 -115 -e 34 -82 -o ./output/test_vert_cross.png --nofineprint " + 'grid_file'] + " tmp -t 1 -v 20190615T20 -s 32 -115 -e 34 -82 -o ./output/test_vert_cross.png --nofineprint " print("command string: ", command_str) os.system(command_str) From 1084446489209d8397ad56b8ace990487210c72e Mon Sep 17 00:00:00 2001 From: bikegeek Date: Thu, 6 Jun 2024 15:20:46 -0600 Subject: [PATCH 32/32] changed time to reflect updated data and time window --- test/fv3_physics_tend/runner_vert_profile.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/test/fv3_physics_tend/runner_vert_profile.py b/test/fv3_physics_tend/runner_vert_profile.py index f2b57eeb..eae282a8 100644 --- a/test/fv3_physics_tend/runner_vert_profile.py +++ b/test/fv3_physics_tend/runner_vert_profile.py @@ -26,7 +26,7 @@ def run_example(config_file): shapefiles_dir = str(tu.get_fv3_shapefiles_dir()) command_str = "python " + config['source_dir'] + "/vert_profile_fv3.py " + " ./fv3_physics_tend_defaults.yaml " + \ config['history_file'] + " " + config[ - 'grid_file'] + " tmp -t 1 -v 20190504T13 -s " + shapefiles_dir + " --nofineprint " + 'grid_file'] + " tmp -t 1 -v 20190615T20 -s " + shapefiles_dir + " --nofineprint " print("command string: ", command_str) os.system(command_str) @@ -45,7 +45,7 @@ def run_example(config_file): shapefile_dir = tu.get_fv3_shapefiles_dir() command_str = "python " + config['source_dir'] + "/vert_profile_fv3.py " + " ./fv3_physics_tend_defaults.yaml " + \ config['history_file'] + " " + config[ - 'grid_file'] + " tmp -t 1 -v 20190504T13 -s " + shapefile_dir + " --nofineprint" + 'grid_file'] + " tmp -t 1 -v 20190615T20 -s " + shapefile_dir + " --nofineprint" print("command string: ", command_str) os.system(command_str) @@ -66,7 +66,7 @@ def run_with_novel_output_file(config_file): shapefile_dir = tu.get_fv3_shapefiles_dir() command_str = "python " + config['source_dir'] + "/vert_profile_fv3.py " + " ./fv3_physics_tend_defaults.yaml " + \ config['history_file'] + " " + config[ - 'grid_file'] + " tmp -t 1 -v 20190504T13 -s " + shapefile_dir + " -o ./test_vert_profile.png --nofineprint" + 'grid_file'] + " tmp -t 1 -v 20190615T20 -s " + shapefile_dir + " -o ./test_vert_profile.png --nofineprint" print("command string: ", command_str) os.system(command_str) @@ -76,7 +76,7 @@ def run_with_novel_output_dir(config_file): shapefile_dir = tu.get_fv3_shapefiles_dir() command_str = "python " + config['source_dir'] + "/vert_profile_fv3.py " + " ./fv3_physics_tend_defaults.yaml " + \ config['history_file'] + " " + config[ - 'grid_file'] + " tmp -t 2 -v 20190504T14 -s " + shapefile_dir + " -o ./output/test_vert_profile.png --nofineprint" + 'grid_file'] + " tmp -t 1 -v 20190615T20 -s " + shapefile_dir + " -o ./output/test_vert_profile.png --nofineprint" print("command string: ", command_str) os.system(command_str)

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And correct order of nophys and phys. 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