Articles | Volume 24, issue 9
https://doi.org/10.5194/nhess-24-3155-2024
https://doi.org/10.5194/nhess-24-3155-2024
Research article
 | 
23 Sep 2024
Research article |  | 23 Sep 2024

Coupling WRF with HEC-HMS and WRF-Hydro for flood forecasting in typical mountainous catchments of northern China

Sheik Umar Jam-Jalloh, Jia Liu, Yicheng Wang, and Yuchen Liu

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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-2024-20', Anonymous Referee #1, 20 Apr 2024
    • AC1: 'Reply on RC1', Sheik Umar Jam-Jalloh, 12 Jul 2024
  • RC2: 'Comment on nhess-2024-20', Anonymous Referee #2, 18 Jun 2024
    • AC2: 'Reply on RC2', Sheik Umar Jam-Jalloh, 12 Jul 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (26 Jul 2024) by Vassiliki Kotroni
AR by Sheik Umar Jam-Jalloh on behalf of the Authors (29 Jul 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (30 Jul 2024) by Vassiliki Kotroni
AR by Sheik Umar Jam-Jalloh on behalf of the Authors (02 Aug 2024)
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Short summary
Our paper explores improving flood forecasting using advanced weather and hydrological models. By coupling the WRF model with WRF-Hydro and HEC-HMS, we achieved more accurate forecasts. WRF–WRF-Hydro excels for short, intense storms, while WRF–HEC-HMS is better for longer, evenly distributed storms. Our research shows how these models provide insights for adaptive atmospheric–hydrologic systems and aims to boost flood preparedness and response with more reliable, timely predictions.
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