Hello, I have been downloading monthly data from ERA5 for the area of Germany without any problems. However, I recently downloaded the data for the month of December 2023 and found the file filled with NaN values, although the previous months contain values without any problems. Also, the file size is approximately double the usual size compared to previous months.
Is there any explanation for this?
Here is the request:
import cdsapi
c = cdsapi.Client()
c.retrieve(
'reanalysis-era5-single-levels',
{
'product_type': 'reanalysis',
'format': 'netcdf',
'variable': [
'total_sky_direct_solar_radiation_at_surface',
'surface_solar_radiation_downwards',
'surface_net_solar_radiation',
],
'year': '2023',
'month': '12',
'day': [
'01', '02', '03',
'04', '05', '06',
'07', '08', '09',
'10', '11', '12',
'13', '14', '15',
'16', '17', '18',
'19', '20', '21',
'22', '23', '24',
'25', '26', '27',
'28', '29', '30',
'31',
],
'time': [
'00:00', '01:00', '02:00',
'03:00', '04:00', '05:00',
'06:00', '07:00', '08:00',
'09:00', '10:00', '11:00',
'12:00', '13:00', '14:00',
'15:00', '16:00', '17:00',
'18:00', '19:00', '20:00',
'21:00', '22:00', '23:00',
],
'area': [59.0, 4.0 ,40.0, 17.0],
'grid': [0.025, 0.025],
},
'output.nc'
)
Thank you in advance!