Page History

For

ERA-Interim (1st January 1979 to 31st August 2019)

access through the ECMWF Web API stopped on 01 June 2023

Its successor ERA5 is available from the . Keeping in mind that ERA-Interim is published with an offset of about three months from the dataset's reference date, ERA-Interim August 2019 data will be made available towards the end of October 2019.ERA5 is now available from the Climate Data Store (CDS) (What are the changes from ERA-Interim to ERA5?) and users are strongly advised to migrate to ERA5 (How to migrate from ECMWF Web API to CDS APIdownload ERA5).

For those users who still need access to ERA-Interim after 01 June 2023 (subject to further notice), they can do so via the Climate Data Store (CDS) API.

#!/usr/bin/env python

# This script extracts the average daily precipitation for each month.

from datetime import datetime, timedelta

# Change the start and end dates to your desired date range. Monthly data is specified as the 1st of the month.
# For example, to get January 1979 to December 1980, use (1979, 1, 1) and (1980, 12, 1), respectively

start = datetime(1979, 1, 1)
end = datetime(1980, 12, 1)

datelist = [start.strftime('%Y-%m-%d')]
while start <= end:
    start += timedelta(days=32)
    datelist.append( datetime(start.year, start.month, 1).strftime('%Y-%m-%d') )
	datestring = "/".join(datelist)  

from ecmwfapi import ECMWFDataServer
serverc = ECMWFDataServercdsapi.Client()
serverc.retrieve({
    "class": "ei",
    "dataset": "interim",'reanalysis-era-interim',{
    "'date"': datestring,
    "expver": "1",
    "grid": "'grid': '0.75/0.75"',
    "'levtype"': "'sfc"',
    "'param"': "'tp"',
    "'step"': "'0-/12"',
    "'stream"': "'mdfa"',
    "'type"': "'fc"',
    "'area" ': "'75/-15/30/35"',
    "'format"': "'netcdf"',
    "target": ",
},'tp-mdfa-197901to198012.nc')