Articles | Volume 28, issue 3
https://doi.org/10.5194/hess-28-649-2024
https://doi.org/10.5194/hess-28-649-2024
Research article
 | 
14 Feb 2024
Research article |  | 14 Feb 2024

Merging with crowdsourced rain gauge data improves pan-European radar precipitation estimates

Aart Overeem, Hidde Leijnse, Gerard van der Schrier, Else van den Besselaar, Irene Garcia-Marti, and Lotte Wilhelmina de Vos

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Interactive discussion

Status: closed

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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (further review by editor) (04 Nov 2023) by Yue-Ping Xu
AR by Aart Overeem on behalf of the Authors (04 Nov 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (30 Dec 2023) by Yue-Ping Xu
AR by Aart Overeem on behalf of the Authors (04 Jan 2024)  Author's response   Manuscript 
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Short summary
Ground-based radar precipitation products typically need adjustment with rain gauge accumulations to achieve a reasonable accuracy. Crowdsourced rain gauge networks have a much higher density than conventional ones. Here, a 1-year personal weather station (PWS) gauge dataset is obtained. After quality control, the 1 h PWS gauge accumulations are merged with pan-European radar accumulations. The potential of crowdsourcing to improve radar precipitation products in (near) real time is confirmed.