Some of the files in the post-processed forecast dataset (http://thredds.met.no/thredds/catalog/metpparchivev1/catalog.html) have unit for the radiation which does not match with the magnitude of the values in this variable. In the example below the unit in the metadata is W m^-2 while the variable seem to represent aggregated (integral) values. @tnipen, @cristianlussana, @ivarsei can this be fixed?
f="met_forecast_1_0km_nordic_20140701T06Z.nc"
ds=nc.Dataset(f,'r')
rad = ds.variables['integral_of_surface_downwelling_shortwave_flux_in_air_wrt_time']
rad
Out[32]:
<class 'netCDF4._netCDF4.Variable'>
float32 integral_of_surface_downwelling_shortwave_flux_in_air_wrt_time(time, y, x)
coordinates: longitude latitude
units: W/m^2
standard_name: surface_downwelling_shortwave_flux_in_air
grid_mapping: projection_lcc
unlimited dimensions: time
current shape = (61, 1544, 1270)
filling on, default _FillValue of 9.969209968386869e+36 used
rad[:,:,0].max()
Out[33]: 75324344.0
Some of the files in the post-processed forecast dataset (http://thredds.met.no/thredds/catalog/metpparchivev1/catalog.html) have unit for the radiation which does not match with the magnitude of the values in this variable. In the example below the unit in the metadata is W m^-2 while the variable seem to represent aggregated (integral) values. @tnipen, @cristianlussana, @ivarsei can this be fixed?