Articles | Volume 26, issue 19
Hydrol. Earth Syst. Sci., 26, 5069–5084, 2022
https://doi.org/10.5194/hess-26-5069-2022
Hydrol. Earth Syst. Sci., 26, 5069–5084, 2022
https://doi.org/10.5194/hess-26-5069-2022
Research article
11 Oct 2022
Research article | 11 Oct 2022

Enhancing the usability of weather radar data for the statistical analysis of extreme precipitation events

Andreas Hänsler and Markus Weiler

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2021-640', Marc Schleiss, 24 Feb 2022
    • AC1: 'Reply on RC1', Andreas Hänsler, 24 Mar 2022
  • RC2: 'Comment on hess-2021-640', Anonymous Referee #2, 24 Feb 2022
    • AC2: 'Reply on RC2', Andreas Hänsler, 24 Mar 2022
  • RC3: 'Comment on hess-2021-640', Anonymous Referee #3, 25 Feb 2022
    • AC3: 'Reply on RC3', Andreas Hänsler, 24 Mar 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (02 Apr 2022) by Nadav Peleg
AR by Andreas Hänsler on behalf of the Authors (15 Jun 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (19 Jun 2022) by Nadav Peleg
RR by Anonymous Referee #3 (19 Jul 2022)
RR by Anonymous Referee #2 (02 Aug 2022)
ED: Publish subject to technical corrections (23 Aug 2022) by Nadav Peleg
AR by Andreas Hänsler on behalf of the Authors (05 Sep 2022)  Author's response    Manuscript
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Short summary
Spatially explicit quantification of design storms is essential for flood risk assessment and planning. However, available datasets are mainly based on spatially interpolated station-based design storms. Since the spatial interpolation of the data inherits a large potential for uncertainty, we develop an approach to be able to derive spatially explicit design storms on the basis of weather radar data. We find that our approach leads to an improved spatial representation of design storms.