Hydrologic Model-based Forecasting
Hydrologic Model-Based Forecasting is a hydrologic forecasting methodology that employs mathematical representations of watershed processes to simulate and predict streamflow or runoff by translating precipitation and other meteorological inputs into hydrological responses through physically based, conceptual, or empirical model structures.
496
Publications
49.1K
Citations
1.8K
Authors
638
Institutions
Publications per year
2017–2026
196
Parents
496
1–5 of 496
1.8K
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638

Hohai University
Nanjing, China
17 h-index
79 publications
3K citations

Chinese Academy of Sciences
Beijing, China
13 h-index
30 publications
1.1K citations
NOAA National Weather Service
Silver Spring, United States
12 h-index
45 publications
3.2K citations
Wuhan University
Wuhan, China
11 h-index
37 publications
1.2K citations
Dalian University of Technology
Dalian, China
11 h-index
33 publications
1.3K citations
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
Nanjing, China
11 h-index
25 publications
821 citations

Ollscoil na Gaillimhe – University of Galway
Galway, Ireland
10 h-index
19 publications
1.6K citations
China Institute of Water Resources and Hydropower Research
Beijing, China
9 h-index
31 publications
1.6K citations
1–8 of 638
56 publications · 28.9K citations
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22 publications · 1.5K citations
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22 publications · 1.5K citations
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28 publications · 836 citations
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20 publications · 871 citations
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