Update README.md

python/README.md

@@ -59,16 +59,11 @@ You can also download and generate global gridded canopy-app inputs using Python
 
 1. Edit python script (`global_data_process.py`)
 
-2. Change user settings
+2. Change global settings
 
    ```python
    '''User Options'''
    path     = '/scratch/pcampbe8/canopy-app/input'  # work directory
-   year     = 2022   # year
-   month    = 7      # month
-   day      = 1      # day
-   houri    = 12     # gfs initialization hour in UTC (caution currently GFS files are initialized at 12 UTC only -- do not change)
-   hour     = 00     # gfs forecast hour in UTC
    ref_lev  = 10     # reference height above the canopy (m)
    frp_src  = 1      # frp data source (0: local source; 1: check local source first, switch to climatological file if no available data; 2: 12 month climatology; 3: all ones when ifcanwaf=.FALSE.)
    ```
@@ -79,8 +74,18 @@ You can also download and generate global gridded canopy-app inputs using Python
    conda activate canopy-app
    ```
 
-3. Run Python script
+3. Run Python script with time arguments: 
+
+   Time format: `Year(yyyy)+month(mm)+date(dd)+hour(hh)+forecast hour(fff)` Multiple time steps available. Use `,` to separate different times, no spaces.
+
+   Example 1: 15-17 Jul 2020 12Z, forecast hour=0
+
+   ```
+   python global_data_process.py 2020071512000,2020071612000,2020071712000
+   ```
+
+   Example 2: 1 Jul 2020 12Z, forecast hour=0-4
 
    ```
-   python global_data_process.py
+   python global_data_process.py 2020070112000,2020070112001,2020070112002,2020070112003,2020070112004
    ```