Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 24, issue 9
Articles | Volume 24, issue 9
https://doi.org/10.5194/nhess-24-3155-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-3155-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 9
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

Viewed

Total article views: 946 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
599 163 184 946 23 32
  • HTML: 599
  • PDF: 163
  • XML: 184
  • Total: 946
  • BibTeX: 23
  • EndNote: 32
Views and downloads (calculated since 09 Apr 2024)
Cumulative views and downloads (calculated since 09 Apr 2024)

Viewed (geographical distribution)

Total article views: 946 (including HTML, PDF, and XML) Thereof 854 with geography defined and 92 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
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.
Read more
Altmetrics
Final-revised paper
Preprint