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

Publications

2.2K

Citations

148

Authors

94

Institutions

Publications per year

2017–2026

19

Authors

148

  1. JH
    Jing‐Cheng Han

    Tsinghua University, China

    2 publications · 68 citations

    2

    h-index

  2. GH
    Guohe Huang

    University of Regina, Canada

    2 publications · 138 citations

    2

    h-index

  3. AR
    Anthony R. Buda

    Agricultural Research Service, United States

    1 publications · 111 citations

    1

    h-index

  4. RS
    Rick Saylor

    NOAA Air Resources Laboratory, United States

    1 publications · 26 citations

    1

    h-index

  5. MW
    Michael W. Babcock

    Kansas State University, United States

    1 publications · 36 citations

    1

    h-index

1–5 of 148

Venues

  1. Journal of Hydrology

    6 publications · 535 citations

    6

    h-index

  2. Water

    3 publications · 197 citations

    3

    h-index

  3. Ecological Indicators

    2 publications · 79 citations

    2

    h-index

  4. Environmental Modelling & Software

    2 publications · 131 citations

    2

    h-index

  5. International Journal of Production Research

    1 publications · 11 citations

    1

    h-index

1–5