ERA5数据批量下载

欧洲数值预报中心-ERA5数据下在

本文提供了一个下载ERA5-land hourly data 的示例

import cdsapi
import numpy as np
import calendar
import os

# define directory in which data shall be stored
os.chdir("F:/era5")

#账号的url\uid\key
c = cdsapi.Client(url= "https://cds.climate.copernicus.eu/api/v2",
                  key = "123:123ea9c0-23c2-12be-a0b2-2f12f40f2bd1")
# 52830
# 642ea9c0-27c2-45be-a0b3-2f91f40f7bd8

# define variable to download (eg. u component 100m wind)
# var = [ '10m_u_component_of_wind',
#         '10m_v_component_of_wind',
#         '2m_temperature',
#         '2m_dewpoint_temperature',
#         'Snowfall',
#         'Surface_pressure',
#         'Total_evaporation',
#         'Total_precipitation']
var = [ '10m_u_component_of_wind',
        '10m_v_component_of_wind',
        '2m_temperature',
        '2m_dewpoint_temperature',
        'Snowfall',
        'Surface_pressure',
        'Total_precipitation']

# define the years you want to download
yearstart = 2020
yearend = 2020
# define the start and end month you want to download
monthstart = 1
monthend = 4
# define the start and end day you want to download
daystart = 1
dayend = 31
# define spatial limits of download (eg. around Austria)
lon1 = 114
lon2 = 123
lat1 = 34
lat2 = 39

# create lists
years = np.array(range(yearstart,yearend+1),dtype="str")
area = [lat2, lon1, lat1, lon2]
                



for year in years:
    if (int(year)==yearstart) and (int(year)==yearend):
        months = np.array(range(monthstart,monthend+1),dtype="str")
    elif (year == yearstart) :
        months = np.array(range(monthstart,13),dtype="str")
    elif (year == yearend):
        months = np.array(range(1,monthend + 1),dtype="str")
    else:
        months = np.array(range(1,13),dtype="str")
               
    for month in months:
        m = '{:0>2}'.format(str(month))
        # if int(month) < 10:
        #     m = '0' + month
        # else:
        #     m = month
        
        if(int(year) == yearstart) and (int(year) == yearend) and (int(month) == monthstart) and (int(month) == monthend):
                days = list(np.array(range(daystart,dayend+1),dtype="str"))
        elif (int(year) == yearstart) and (int(month) == monthstart):
            days = list(np.array(range(daystart,calendar.monthrange(int(year),int(month))[1]+1),dtype="str"))
        elif (int(year) == yearend) and (int(month) == monthend):
            days = list(np.array(range(1,dayend+1),dtype="str"))
        else:
            days = list(np.array(range(1,calendar.monthrange(int(year),int(month))[1]+1),dtype="str"))
        
        for day in days:
            d = '{:0>2}'.format(str(day))
            # if int(day) < 10:
            #     d = '0' + day
            # else:
            #     d = day
                
            c.retrieve(
                    'reanalysis-era5-land',
                    {
                            'variable': var,
                            'product_type':'reanalysis',
                            'year': year,
                            'month': month,
                            'day': day,
                            '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': area ,
                            'format':'netcdf',
                            'grid': '0.1/0.1'
                        },
                        'era5_' + '_' + year + m + d + '.nc')

本文地址：https://blog.csdn.net/luqialiu3392/article/details/107630664