Physical-based Modeling

Physical-Based Modeling is a type of distributed hydrologic modeling that employs fundamental physical laws and conservation principles to simulate hydrological processes, distinguished by its reliance on mechanistic representations of real-world processes rather than empirical or statistical relationships.

267

Publications

20.7K

Citations

924

Authors

398

Institutions

Publications per year

2017–2026

85

Variants

Physically-based Modeling

Authors

924

  1. KL
    Keith Loague

    Stanford University, United States

    6 publications · 515 citations

    6

    h-index

  2. KB
    Keith Beven

    Lancaster University, United Kingdom

    4 publications · 2.1K citations

    4

    h-index

  3. DG
    David G. Tarboton

    Utah State University, United States

    4 publications · 145 citations

    4

    h-index

  4. BA
    Brian A. Ebel

    United States Geological Survey, United States

    4 publications · 406 citations

    4

    h-index

  5. JE
    Joel E. VanderKwaak

    Stanford University, United States

    3 publications · 230 citations

    3

    h-index

1–5 of 924

Venues

  1. Journal of Hydrology

    20 publications · 6.5K citations

    18

    h-index

  2. Water Resources Research

    10 publications · 2.3K citations

    10

    h-index

  3. Hydrological Processes

    8 publications · 843 citations

    8

    h-index

  4. Water

    6 publications · 151 citations

    6

    h-index

  5. Environmental Modelling & Software

    6 publications · 539 citations

    6

    h-index

1–5