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WARNING: This page has been moved to Access ECMWF Public Datasets. |
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| Access ECMWF Public Datasets |
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WARNING: This page has been moved to Access MARS.
Accessing the batch service with Python
Installing the Python library
You can install the ecmwfapi
python library by running:
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sudo pip install https://software.ecmwf.int/wiki/download/attachments/23694554/ecmwf-api-python-client.tgz |
Installing your API key
To access ECMWF you will need an API key that can be obtained at https://api.ecmwf.int/v1/key/. Copy the information in this page and paste it in the file $HOME/.ecmwfapirc
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language | javascript |
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title | Content $HOME/.ecmwfapirc |
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{
"url" : "https://api.ecmwf.int/v1",
"key" : "XXXXXXXXXXXXXXXXXXXXXX",
"email" : "john.smith@example.com"
} |
Sample Python script
Below is a simple Python script making use of the ecmwfapi
library:
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language | python |
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title | Python client |
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#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
'dataset' : "tigge",
'step' : "24/to/120/by/24",
'number' : "all",
'levtype' : "sl",
'date' : "20071001/to/20071003",
'time' : "00/12",
'origin' : "all",
'type' : "pf",
'param' : "tp",
'area' : "70/-130/30/-60",
'grid' : "2/2",
'target' : "data.grib"
}) |
The "dataset
" parameter is one of:
dataset | Name |
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demeter | DEMETER Project |
gems_nrealtime | GEMS Reanalysis and Near Real-time |
macc_reanalysis | MACC Reanalysis |
tigge | TIGGE |
tigge_lam' | TIGGE LAM |
yotc | YOTC |
interim | ERA Interim (Jan 1979 - present) |
era40 | ERA-40 (Sep 1957 - Aug 2002) |
era15 | ERA-15 (Jan 1979 - Dec 1993) |
To access these dataset, you need to agree on the the corresponding terms and conditions that can be found at http://apps.ecmwf.int/datasets/
The other parameters are described at: http://www.ecmwf.int/publications/manuals/mars/guide/index.html