IRI – International Research Institute for Climate and Society

Forecast Licensing

Free To Use

All IRI forecasts are free to use without a license, and can be visually analyzed using our free Data Library. All images derived from these should be cited as described in our citations section below.

Operational Forecast Data Information

Seasonal forecast data older than 6 months (delayed) can be downloaded for free.

Subseasonal forecast data older than 1 month (delayed) can be downloaded for free.

Current seasonal and sub seasonal forecasts may be downloaded with a license. Non-commercial licenses are free to use and commercial licenses are also available

Request a License

Only request a license if you need access to the raw forecast data. The forecast images are free to use.

To apply for a license for the raw forecast data, please sign up here: License Request. You can use a Google, Bitbucket, Github account or you can create one with an email account. You will be directed to a form to provide more information about how you intend to use the data (commercial, non-commercial, non-profit) for your request to be reviewed. Once your request is reviewed, you will either be granted a non-commercial license or directed to correspond with our commercial licensing contact.

You can find detailed information on our forecasts on our Climate and Forecast Products Pages.

Links to Free and Licensed Data

Citations

When using one of our products or images, please cite the IRI in the following ways, unless the page has specific citation information.

Graphics

All graphics should contain at the minimum, “Graphics provided by the International Research Institute for Climate and Society, Columbia University, https://iri.columbia.edu“.

Seasonal Forecasts

Any images or data used from our seasonal forecasts should cite:

Kirtman, B., D. Min, J. Infanti, J. Kinter, D. Paolino, Q. Zhang, H. van den Dool, S. Saha, M. Mendez, E. Becker, P. Peng, P. Tripp, J. Huang, D. DeWitt, M. Tippett, A. Barnston, S. Li, A. Rosati, S. Schubert, M. Rienecker, M. Suarez, Z. Li, J. Marshak, Y. Lim, J. Tribbia, K. Pegion, W. Merryfield, B. Denis, and E. Wood, 2014: The North American Multimodel Ensemble: Phase-1 Seasonal-to-Interannual Prediction; Phase-2 toward Developing Intraseasonal Prediction. Bull. Amer. Meteor. Soc., 95, 585–601, doi: 10.1175/BAMS-D-12-00050.1.