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Merge pull request #80 from GreyEvenson-NOAA/noah_om_grid
Add capacity to read-in gridded soils data from NetCDF
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,51 +1,102 @@ | ||
| import netCDF4 as nc | ||
| import numpy as np | ||
| import random | ||
| import random, os | ||
|
|
||
| # Define dataset contents | ||
| n_y = 3 | ||
| n_x = 2 | ||
| dx = 30. # arc-seconds (~1 km) | ||
| dy = 30. | ||
| vegtyp = 1 | ||
| isltyp = 1 | ||
| lat = 40.01 | ||
| lon = -88.37 | ||
| cnv_arcsec_to_degrees = 0.0002777777777777778 | ||
| loc = '../../data' | ||
|
|
||
| # Create and open dataset | ||
| loc = '../../data/netcdf_dummy.nc' | ||
| dum = nc.Dataset(loc, 'w', format='NETCDF4') | ||
|
|
||
| # Define dimensions | ||
| dim_lat = dum.createDimension('Latitude', n_y) | ||
| dim_lon = dum.createDimension('Longitude', n_x) | ||
|
|
||
| # Create variables | ||
| var_lon = dum.createVariable('Longitude', 'f4', 'Longitude') | ||
| var_lat = dum.createVariable('Latitude', 'f4', 'Latitude') | ||
| var_vegtyp = dum.createVariable('vegtyp', 'i4', ('Latitude','Longitude')) | ||
|
|
||
| # Create attributes | ||
| var_lon.dx = dx | ||
| var_lat.dy = dy | ||
|
|
||
| # Fill variables | ||
| var_lat[:] = np.array([lat+(i*dy*cnv_arcsec_to_degrees) for i in range(n_y)]) | ||
| var_lon[:] = np.array([lon+(i*dx*cnv_arcsec_to_degrees) for i in range(n_x)]) | ||
| var_vegtyp[:,:] = np.full((n_y, n_x), vegtyp) | ||
| for x in range(n_x): | ||
| for y in range(n_y): | ||
| if x != 0 or y != 0: | ||
| var_vegtyp[y,x] = random.randint(1,20) | ||
|
|
||
| # Print some stuff | ||
| print('\n****************DIMENSIONS****************') | ||
| print(dim_lon) | ||
| print(dim_lat) | ||
| print('\n****************VARIABLES****************') | ||
| print(var_lon) | ||
| print(var_lat) | ||
| print(var_vegtyp) | ||
|
|
||
| # Close dataset | ||
| dum.close() | ||
| def create_dummy_soils(): | ||
|
|
||
| # Create and open dataset | ||
| filename = os.path.join(loc,'netcdf_soils.nc') | ||
| dum = nc.Dataset(filename, 'w', format='NETCDF4') | ||
|
|
||
| # Define dimensions | ||
| dim_lat = dum.createDimension('Latitude', n_y) | ||
| dim_lon = dum.createDimension('Longitude', n_x) | ||
|
|
||
| # Create variables | ||
| var_lon = dum.createVariable('Longitude', 'f4', 'Longitude') | ||
| var_lat = dum.createVariable('Latitude', 'f4', 'Latitude') | ||
| var_isltyp = dum.createVariable('isltyp', 'i4', ('Latitude','Longitude')) | ||
|
|
||
| # Create attributes | ||
| var_lon.dx = dx | ||
| var_lat.dy = dy | ||
|
|
||
| # Fill variables | ||
| var_lat[:] = np.array([lat+(i*dy*cnv_arcsec_to_degrees) for i in range(n_y)]) | ||
| var_lon[:] = np.array([lon+(i*dx*cnv_arcsec_to_degrees) for i in range(n_x)]) | ||
| var_isltyp[:,:] = np.full((n_y, n_x), isltyp) | ||
| for x in range(n_x): | ||
| for y in range(n_y): | ||
| if x != 0 or y != 0: | ||
| var_isltyp[y,x] = random.randint(1,19) | ||
|
|
||
| # Print some stuff | ||
| print('\n****************DIMENSIONS****************') | ||
| print(dim_lon) | ||
| print(dim_lat) | ||
| print('\n****************VARIABLES****************') | ||
| print(var_lon) | ||
| print(var_lat) | ||
| print(var_isltyp) | ||
|
|
||
| # Close dataset | ||
| dum.close() | ||
|
|
||
| def create_dummy_vegtyp(): | ||
|
|
||
| # Create and open dataset | ||
| filename = os.path.join(loc,'netcdf_landuse.nc') | ||
| dum = nc.Dataset(filename, 'w', format='NETCDF4') | ||
|
|
||
| # Define dimensions | ||
| dim_lat = dum.createDimension('Latitude', n_y) | ||
| dim_lon = dum.createDimension('Longitude', n_x) | ||
|
|
||
| # Create variables | ||
| var_lon = dum.createVariable('Longitude', 'f4', 'Longitude') | ||
| var_lat = dum.createVariable('Latitude', 'f4', 'Latitude') | ||
| var_vegtyp = dum.createVariable('vegtyp', 'i4', ('Latitude','Longitude')) | ||
|
|
||
| # Create attributes | ||
| var_lon.dx = dx | ||
| var_lat.dy = dy | ||
|
|
||
| # Fill variables | ||
| var_lat[:] = np.array([lat+(i*dy*cnv_arcsec_to_degrees) for i in range(n_y)]) | ||
| var_lon[:] = np.array([lon+(i*dx*cnv_arcsec_to_degrees) for i in range(n_x)]) | ||
| var_vegtyp[:,:] = np.full((n_y, n_x), vegtyp) | ||
| for x in range(n_x): | ||
| for y in range(n_y): | ||
| if x != 0 or y != 0: | ||
| var_vegtyp[y,x] = random.randint(1,20) | ||
|
|
||
| # Print some stuff | ||
| print('\n****************DIMENSIONS****************') | ||
| print(dim_lon) | ||
| print(dim_lat) | ||
| print('\n****************VARIABLES****************') | ||
| print(var_lon) | ||
| print(var_lat) | ||
| print(var_vegtyp) | ||
|
|
||
| # Close dataset | ||
| dum.close() | ||
|
|
||
| def main(): | ||
| create_dummy_vegtyp() | ||
| create_dummy_soils() | ||
|
|
||
| if __name__ == '__main__': | ||
| main() |