python批量下载ECMWF月资料1979-2019年

choityyy

ERA Interim月资料从1979年1月到2019年8月，用python批量下载。参考【分享】python批量下载ECMWF资料 时间循环-编程作图-气象家园_气象人自己的家园 (06climate.com)写的时间循环，因为2019年数据只到八月份，我自己加了个选择语句，供大家参考

FancyGu

你好，请问您有地级市的年度气象数据吗？我需要风速、相对湿度、温度等等，我用于实证分析。

ChitaWang

import calendar

from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()

yearStart = 1979                     # adjust to your requirements - as of 2017-07 only 2010-01-01 onwards is available
yearEnd = 2019                       # adjust to your requirements
months1 = [1,2,3,4,5,6,7,8,9,10,11,12]   # adjust to your requirements
months2 = [1,2,3,4,5,6,7,8]   # adjust to your requirements

years = range(yearStart, yearEnd+1)

  
requestDates=" "
for y in years:
if y <= 2018:
     for m in months1:

      requestDates = requestDates+str(y)+(str(m)).zfill(2)+'01/'
else:
     for m in months2:
      requestDates = requestDates+str(y)+(str(m)).zfill(2)+'01/'
requestDates = requestDates[:-1]
server.retrieve({
    "class": "ei",
    "dataset": "interim",
    "date":requestDates,
    "expver": "1",
    "grid": "0.75/0.75",
    "levtype": "sfc",
    "param": "167.128",
    "step": "0",
    "stream": "mnth",
    "time": "00:00:00/06:00:00/12:00:00/18:00:00",
    "type": "an",
    "format":"netcdf",
    "target": "197901-201908_month_t2m.nc",
})