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
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2,323
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3,273
100
147
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PDF: 723
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Total: 3,273
BibTeX: 100
EndNote: 147
Views and downloads (calculated since 09 Apr 2024)
Cumulative views and downloads
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Total article views: 2,333 (including HTML, PDF, and XML)
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1,723
421
189
2,333
58
84
HTML: 1,723
PDF: 421
XML: 189
Total: 2,333
BibTeX: 58
EndNote: 84
Views and downloads (calculated since 23 Sep 2024)
Cumulative views and downloads
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Total article views: 940 (including HTML, PDF, and XML)
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600
302
38
940
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63
HTML: 600
PDF: 302
XML: 38
Total: 940
BibTeX: 42
EndNote: 63
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Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 3,273 (including HTML, PDF, and XML)
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Total article views: 2,333 (including HTML, PDF, and XML)
Thereof 2,208 with geography defined
and 125 with unknown origin.
Total article views: 940 (including HTML, PDF, and XML)
Thereof 892 with geography defined
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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....
