State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Yicheng Wang
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Yuchen Liu
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Viewed
Total article views: 3,495 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,464
797
234
3,495
103
157
HTML: 2,464
PDF: 797
XML: 234
Total: 3,495
BibTeX: 103
EndNote: 157
Views and downloads (calculated since 09 Apr 2024)
Cumulative views and downloads
(calculated since 09 Apr 2024)
Total article views: 2,524 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,851
477
196
2,524
60
91
HTML: 1,851
PDF: 477
XML: 196
Total: 2,524
BibTeX: 60
EndNote: 91
Views and downloads (calculated since 23 Sep 2024)
Cumulative views and downloads
(calculated since 23 Sep 2024)
Total article views: 971 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
613
320
38
971
43
66
HTML: 613
PDF: 320
XML: 38
Total: 971
BibTeX: 43
EndNote: 66
Views and downloads (calculated since 09 Apr 2024)
Cumulative views and downloads
(calculated since 09 Apr 2024)
Viewed (geographical distribution)
Total article views: 3,495 (including HTML, PDF, and XML)
Thereof 3,301 with geography defined
and 194 with unknown origin.
Total article views: 2,524 (including HTML, PDF, and XML)
Thereof 2,378 with geography defined
and 146 with unknown origin.
Total article views: 971 (including HTML, PDF, and XML)
Thereof 923 with geography defined
and 48 with unknown origin.
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.
Our paper explores improving flood forecasting using advanced weather and hydrological models....
