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- 1970-1-1
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发表于 2024-7-1 21:42:27
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import cdsapi
years=["2023"]
mons=['12']
date=['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']
for i in range(len(years)):
for j in range(len(mons)):
for k in range(len(date)):
c = cdsapi.Client()
c.retrieve(
'reanalysis-era5-pressure-levels',
{
'product_type':'reanalysis',
'format':'netcdf',
'grid':'1/1',
'variable':'geopotential',
'pressure_level':'500',
'year':[
years[i]
],
'month':[
mons[j]],
'day':[
date[k]
],
'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'
]
},
"ERA5_hourly_pressurelevels_1.0_Z500_"+years[i]+mons[j]+date[k]+".nc"
)
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