Articles | Volume 26, issue 4
https://doi.org/10.5194/nhess-26-1795-2026
https://doi.org/10.5194/nhess-26-1795-2026
Research article
 | 
20 Apr 2026
Research article |  | 20 Apr 2026

Prototype citizen and community science app for urban heavy rainfall risk management in the Ahr Valley, Germany

Jaqueline Hoffmann, Sascha Nau, Sabrina Abler, Vincent Theis, Peter Fischer-Stabel, Julian Janßen, and Andreas Abecker

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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-2025-3702', Jonathan Paul, 05 Sep 2025
    • AC1: 'Reply on RC1', Jaqueline Hoffmann, 22 Sep 2025
  • RC2: 'Comment on egusphere-2025-3702', Christine Yiqing Liang, 25 Sep 2025
    • AC2: 'Reply on RC2', Jaqueline Hoffmann, 07 Oct 2025

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) (26 Oct 2025) by Solmaz Mohadjer
AR by Jaqueline Hoffmann on behalf of the Authors (06 Dec 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (07 Dec 2025) by Solmaz Mohadjer
RR by Jonathan Paul (12 Dec 2025)
RR by Christine Yiqing Liang (17 Dec 2025)
ED: Publish subject to minor revisions (review by editor) (20 Jan 2026) by Solmaz Mohadjer
AR by Jaqueline Hoffmann on behalf of the Authors (28 Jan 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (19 Feb 2026) by Solmaz Mohadjer
AR by Jaqueline Hoffmann on behalf of the Authors (27 Feb 2026)  Author's response   Manuscript 
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Short summary
This proof-of-concept study presents a prototype Citizen and Community Science app that enables residents to document, classify, and report pluvial flood risks at neighbourhood scale in the Ahr Valley, Germany. Crowdsourced data feed into a Geo Data Warehouse to support municipal analysis and decision-making. Its open-source, scalable design strengthens public awareness and offers potential for global adaptation in urban flood risk management.
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