Concepedia

Physics-based Hydrologic Forecasting

Physics-Based Hydrologic Forecasting is a hydrologic forecasting approach that belongs to the class of models grounded in physical principles and is differentiated by its explicit representation of watershed hydrological processes through deterministic equations derived from conservation laws of mass, energy, and momentum.

12

Publications

663

Citations

41

Authors

24

Institutions

Publications per year

2017–2026

8

Parents

Publications

12

Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for hydrological processes

Pravin Bhasme, Jenil Vagadiya, Udit Bhatia · Journal of Hydrology · 2022 · 152 citations

, , +17

An assessment of distributed flash flood forecasting accuracy using radar and rain gauge input for a physics-based distributed hydrologic model

J. P. Looper, Baxter E. Vieux · Journal of Hydrology · 2011 · 116 citations

, , +16

Evaluation of a physics-based distributed hydrologic model for flood forecasting

Baxter E. Vieux, Zhengtao Cui, Anubhav Gaur · Journal of Hydrology · 2004 · 115 citations

, , +14

Performance of the WRF model in simulating intense precipitation events over the Hanjiang River Basin, China – A multi-physics ensemble approach

Qianya Yang, Zhongbo Yu, Jianhui Wei et al. · Atmospheric Research · 2020 · 54 citations

, , +17

Large-scale flood modeling and forecasting with FloodCast

Qingsong Xu, Yilei Shi, Jonathan Bamber et al. · Water Research · 2024 · 52 citations · Full text

, , +16

1–5 of 12

Authors

41

  1. BE
    Baxter E. Vieux

    University of Oklahoma, United States

    2 publications · 231 citations

    2

    h-index

  2. SS
    Shasha Shang

    Lanzhou University, China

    1 publications · 54 citations

    1

    h-index

  3. QY
    Qianya Yang

    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, China

    1 publications · 54 citations

    1

    h-index

  4. CY
    Chuanguo Yang

    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, China

    1 publications · 54 citations

    1

    h-index

  5. SW
    Sean W. Fleming

    University of British Columbia, Canada

    1 publications · 17 citations

    1

    h-index

1–5 of 41

Institutions

24

  1. Chinese Academy of Sciences

    Beijing, China

    3 h-index

    6 publications

    164 citations

  2. University of Oklahoma

    Norman, United States

    2 h-index

    5 publications

    577 citations

  3. Karlsruhe Institute of Technology

    Karlsruhe, Germany

    1 h-index

    6 publications

    324 citations

  4. Indian Institute of Technology Kharagpur

    Kharagpur, India

    1 h-index

    2 publications

    44 citations

  5. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering

    Nanjing, China

    1 h-index

    5 publications

    270 citations

  6. Universidade Federal de Santa Catarina

    Florianópolis, Brazil

    1 h-index

    1 publications

    31 citations

  7. Bureau de Recherches Géologiques et Minières

    Orléans, France

    1 h-index

    1 publications

    44 citations

  8. Northwest Institute of Eco-Environment and Resources

    Lanzhou, China

    1 h-index

    1 publications

    28 citations

1–8 of 24

Venues

  1. Journal of Hydrology

    5 publications · 449 citations

    5

    h-index

  2. Environmental Modelling & Software

    1 publications · 28 citations

    1

    h-index

  3. Atmospheric Research

    1 publications · 54 citations

    1

    h-index

  4. IEEE Transactions on Artificial Intelligence

    AI · 1 publications · 31 citations

    1

    h-index

  5. Tropical Geography

    1 publications · 11 citations

    1

    h-index

1–5