Process-based Forecasting
Process-Based Forecasting is a type of watershed response forecasting method that explicitly represents the underlying physical hydrological processes—such as infiltration, runoff generation, and channel routing—through deterministic mathematical models to predict water movement across a landscape.
39
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2.2K
Citations
148
Authors
94
Institutions
Publications per year
2017–2026
19
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Jan Adamowski, Hiu Fung Chan, Shiv O. Prasher et al. · Journal of Hydroinformatics · 2011 · 159 citations · Full text
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Tsinghua University
Beijing, China
3 h-index
9 publications
425 citations

University of Regina
Regina, Canada
2 h-index
5 publications
282 citations
Waters (United States)
Milford, United States
2 h-index
3 publications
183 citations
Virginia Tech
Blacksburg, United States
2 h-index
6 publications
508 citations
Ministry of Water Resources of the People's Republic of China
Beijing, China
2 h-index
4 publications
185 citations
KU Leuven
Leuven, Belgium
2 h-index
4 publications
278 citations
Minia University
Minya, Egypt
1 h-index
1 publications
124 citations
Argonne National Laboratory
Lemont, United States
1 h-index
1 publications
27 citations
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6 publications · 535 citations
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3 publications · 197 citations
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2 publications · 79 citations
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2 publications · 131 citations
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1 publications · 11 citations
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