pysteps – The nowcasting initiative#

Pysteps is a community-driven initiative for developing and maintaining an easy to use, modular, free and open source Python framework for short-term ensemble prediction systems.

The focus is on probabilistic nowcasting of radar precipitation fields, but pysteps is designed to allow a wider range of uses.

Pysteps is actively developed on GitHub, while a more thorough description of pysteps is available in the pysteps reference publications:


Pulkkinen, S., D. Nerini, A. Perez Hortal, C. Velasco-Forero, U. Germann, A. Seed, and L. Foresti, 2019: Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0). Geosci. Model Dev., 12 (10), 4185–4219, doi:10.5194/gmd-12-4185-2019.

Imhoff, R.O., L. De Cruz, W. Dewettinck, C.C. Brauer, R. Uijlenhoet, K-J. van Heeringen, C. Velasco-Forero, D. Nerini, M. Van Ginderachter, and A.H. Weerts, 2023: Scale-dependent blending of ensemble rainfall nowcasts and NWP in the open-source pysteps library. Q J R Meteorol Soc., 1-30, doi: doi:10.1002/qj.4461.