Closed cvitolo closed 4 years ago
We have the option to download both monthly
and hourly
data through the ERA5Exporter
for example.
exporter = ERA5Exporter()
exporter.export(variable='total_precipitation', granularity='monthly')
Ohhh, I see. It was a bit confusing because in your example the selection request contains explicit times (see below).
Selection Request: {'area': '6.002/33.501/-5.202/42.283', 'format': 'netcdf', 'month': ['01'], 'product_type': 'monthly_averaged_reanalysis', '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'], 'variable': ['total_precipitation'], 'year': ['2010']}
If for the monthly exports, time
is a redundant variable you can just close this issue.
However, if you have some time to dedicate to this, it would be good to remove it from the printed statement.
This is a very handy functionality! If you are interested in monthly data from CDS you can request directly the monthly averages. Is there a reason why you request hourly data?