Articles | Volume 12, issue 4
https://doi.org/10.5194/gmd-12-1387-2019
https://doi.org/10.5194/gmd-12-1387-2019
Model description paper
 | 
09 Apr 2019
Model description paper |  | 09 Apr 2019

Optical flow models as an open benchmark for radar-based precipitation nowcasting (rainymotion v0.1)

Georgy Ayzel, Maik Heistermann, and Tanja Winterrath

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Georgy Ayzel on behalf of the Authors (12 Feb 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (27 Feb 2019) by Axel Lauer
RR by Loris Foresti (28 Feb 2019)
RR by Seppo Pulkkinen (17 Mar 2019)
ED: Publish subject to minor revisions (review by editor) (19 Mar 2019) by Axel Lauer
AR by Georgy Ayzel on behalf of the Authors (21 Mar 2019)  Author's response   Manuscript 
ED: Publish as is (21 Mar 2019) by Axel Lauer
AR by Georgy Ayzel on behalf of the Authors (22 Mar 2019)  Author's response   Manuscript 
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Short summary
How much will it rain within the next hour? To answer this question, we developed rainymotion – an open source Python software library for precipitation nowcasting. In our benchmark experiments, including a state-of-the-art operational model, rainymotion demonstrated its ability to deliver timely and reliable nowcasts for a broad range of rainfall events. This way, rainymotion can serve as a baseline solution in the field of precipitation nowcasting.