Articles | Volume 12, issue 4
Geosci. Model Dev., 12, 1387–1402, 2019
https://doi.org/10.5194/gmd-12-1387-2019
Geosci. Model Dev., 12, 1387–1402, 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 et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

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
Download
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.