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This service will allow you to access the ECMWF public datasets . You will need to have an account on ECMWF web site. If you don't have an account, please self register at

The procedure is very simple: the user writes a request, submits it and retrieves a file (grib or netcdf format) including the requested data.

This method is supported on UNIX/Linux and Windows platforms with Python. No assumption should be made regarding service availability and individual user support.
Step-by-step guide

  1. If you don't have an account, please self register at and then go to the steps below.
  2. Login

  3. Retrieve you key at

  4. Copy the information in this page and paste it in the file $HOME/.ecmwfapirc (Unix/Linux) or %USERPROFILE%\.ecmwfapirc (Windows; see how to create a file with a leading dot)

contents of $HOME/.ecmwfapirc (Unix/Linux) or %USERPROFILE%\.ecmwfapirc (Windows)
    "url"   : "",
    "email" : ""

Install client libraries


You can install the ecmwfapi python library by running on Unix/Linux:

sudo pip install

or on Windows:

pip install

If you cannot run the sudo or pip commands, just download the ecmwf-api-client-python.tgz. Extract its content and copy the module ecmwfapi to a directory pointed by the environment variable PYTHONPATH.

This version of the library provides support for both Python 2.7.x and Python 3.

Check Data availability

To check the availability of ECMWF Public Datasets go to the web interface:

Using this interface you can discover all the ECMWF Public Datasets that are available from our archive. We strongly recommend you to to navigate through our public datasets to become familiar with their availability. You may select a Public Dataset and start navigating trough its content. 

Please take into account some considerations about the content:

  • Different ECMWF Public Datasets include different  "parameters" , "times", and "steps"  
  • In each ECMWF Public Dataset not all the "parameters" are available from all "steps" 
  • In each ECMWF Public Dataset not all the "steps" are available from all "times"

The web interface above will help you to check and understand the availability. For any kind of selections the system will update the attributes in a dynamic way to reflect the current availability. (i.e. if you change the steps some parameters will be added or removed).


We encourage users to use the "View MARS request" feature at the bottom of the page once the selection has been done. Using this MARS request you can build your own Python script. If you are interested on the syntax go to Brief request syntax.
 Click here to see an example of usage...
  • If you click on the ERA-interim you will get a web page reflecting the availability of  this specific Public Dataset as the period that it is available, the forecast steps and the parameters that are available etc.
  • From this page you have the option to define the values of your requests such as the "date", the "time" the "steps" and the "parameters" that you are interested in.
  • In the case of ERA-Interim if you select time "06:00:00" only,  the system updates the availability of the "steps" dynamically. In that case only the "step" 00 is available (checkable).
  • Additionally if you select "step" 00 you will see that only a subset of the parameters are now available and only these parameters can now be checked.

Spend some time to understand how it works, make some selections try to execute the MARS scripts.

Choosing a dataset

Request syntax

Client Libraries

We also have some API for several client languages. Note that Python is the most tested and supported.


You need to download the clien, extract its content and to a directory pointed by the environment variable  PERL5LIB . This code relies on the JSON perl module, as well as libwww-perl and Crypt::SSLeay.


You need to download the client and you will also need the Java JSON package.


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