Pysteps: an open-source Python library  for probabilistic precipitation nowcasting (v1.0)

Pulkkinen, Seppo; Nerini, Daniele; Pérez Hortal, Andrés A.; Velasco-Forero, Carlos; Seed, Alan; Germann, Urs; Foresti, Loris

doi:https://doi.org/10.5194/gmd-12-4185-2019

Articles | Volume 12, issue 10

https://doi.org/10.5194/gmd-12-4185-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-12-4185-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 10

Model description paper

|

07 Oct 2019

Model description paper |

| 07 Oct 2019

Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)

Seppo Pulkkinen, Daniele Nerini, Andrés A. Pérez Hortal, Carlos Velasco-Forero, Alan Seed, Urs Germann, and Loris Foresti

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Final revised paper (published on 07 Oct 2019)
Preprint (discussion started on 13 May 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Clear and Comprehensive Description of an Open-Source Nowcast System', Wang Chun Woo, 11 Jun 2019
RC2: 'review', Anonymous Referee #2, 21 Jun 2019
AC1: 'Response to reviewers', Seppo Pulkkinen, 06 Aug 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Seppo Pulkkinen on behalf of the Authors (08 Aug 2019) Author's response Manuscript

ED: Publish as is (25 Aug 2019) by Richard Neale

Short summary

Reliable precipitation forecasts are vital for the society, as water-related hazards can cause economic losses and loss of lives. Pysteps is an open-source Python library for radar-based precipitation forecasting. It aims to be a well-documented platform for development of new methods as well as an easy-to-use tool for practitioners. The potential of the library is demonstrated by case studies and scientific experiments using radar data from Finland, Switzerland, the United States and Australia.