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interpolate netcdf
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| import xarray as xr | |
| ds = xr.open_dataset('2mtemp_2021.nc') | |
| ds = ds.resample(time='M').mean() #resample monthly | |
| #bounds | |
| min_lon = -128 | |
| min_lat = 19 | |
| max_lon = -67 | |
| max_lat = 50 | |
| R = 0.05 #resolution | |
| #create dummy dataset with the required resolution and bounds | |
| lats = np.flip(np.arange(min_lat,max_lat,R)).astype('float32') | |
| lons = np.arange(min_lon,max_lon,R).astype('float32') | |
| ds_out = xr.Dataset({'latitude': (['latitude'],lats), | |
| 'longitude': (['longitude'],lons),}) | |
| #interpolate and assign | |
| ds_interp = ds.interp_like(other=ds_out) | |
| ds_interp = ds_interp.assign_coords({'latitude': (['latitude'],lats), | |
| 'longitude': (['longitude'],lons),}) |
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