Articles | Volume 25, issue 7
https://doi.org/10.5194/nhess-25-2271-2025
https://doi.org/10.5194/nhess-25-2271-2025
Research article
 | 
08 Jul 2025
Research article |  | 08 Jul 2025

Improving pluvial flood simulations with a multi-source digital elevation model super-resolution method

Yue Zhu, Paolo Burlando, Puay Yok Tan, Christian Geiß, and Simone Fatichi

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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 nhess-2024-207', Anonymous Referee #1, 19 Nov 2024
    • AC1: 'Reply on RC1', Yue Zhu, 14 Feb 2025
  • RC2: 'Comment on nhess-2024-207', Seth Bryant, 10 Dec 2024
    • AC3: 'Reply on RC2', Yue Zhu, 14 Feb 2025
  • RC3: 'Comment on nhess-2024-207', Anonymous Referee #3, 22 Dec 2024
    • AC2: 'Reply on RC3', Yue Zhu, 14 Feb 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) (22 Feb 2025) by Kai Schröter
AR by Yue Zhu on behalf of the Authors (25 Mar 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (27 Mar 2025) by Kai Schröter
RR by Anonymous Referee #1 (07 Apr 2025)
RR by Seth Bryant (10 Apr 2025)
ED: Publish subject to minor revisions (review by editor) (13 Apr 2025) by Kai Schröter
AR by Yue Zhu on behalf of the Authors (18 Apr 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (22 Apr 2025) by Kai Schröter
AR by Yue Zhu on behalf of the Authors (23 Apr 2025)  Manuscript 
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Short summary
This study addresses the challenge of accurately predicting floods in regions with limited terrain data. By utilising a deep learning model, we developed a method that improves the resolution of digital elevation data by fusing low-resolution elevation data with high-resolution satellite imagery. This approach not only substantially enhances flood prediction accuracy, but also holds potential for broader applications in simulating natural hazards that require terrain information.
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