Articles | Volume 26, issue 8
https://doi.org/10.5194/nhess-26-3863-2026
https://doi.org/10.5194/nhess-26-3863-2026
Research article
 | 
17 Aug 2026
Research article |  | 17 Aug 2026

Revealing the structure of heavy precipitation events: a spatio-temporal wavelet approach

Svenja Szemkus, Sebastian Buschow, and Petra Friederichs

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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 egusphere-2025-5922', Anonymous Referee #1, 03 Jan 2026
    • AC2: 'Reply on RC1', Svenja Szemkus, 05 Mar 2026
  • RC2: 'Comment on egusphere-2025-5922', Anonymous Referee #2, 19 Jan 2026
    • AC1: 'Reply on RC2', Svenja Szemkus, 05 Mar 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (16 Mar 2026) by Ankit Agarwal
AR by Svenja Szemkus on behalf of the Authors (24 Apr 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (30 Apr 2026) by Ankit Agarwal
RR by Anonymous Referee #2 (19 May 2026)
RR by Anonymous Referee #3 (07 Jun 2026)
ED: Publish subject to minor revisions (review by editor) (27 Jun 2026) by Ankit Agarwal
AR by Svenja Szemkus on behalf of the Authors (07 Jul 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (15 Jul 2026) by Ankit Agarwal
AR by Svenja Szemkus on behalf of the Authors (24 Jul 2026)
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Short summary
The impact of heavy rainfall is determined not only by the total amount of precipitation, but also by its spatial and temporal characteristics. We develop a statistical framework that extracts key event characteristics, including their time, length and speed from radar-based observations. The results reveal systematic patterns in heavy precipitation events and provide new insights for risk assessment and future climate studies.
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