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

Authors

1.8K

  1. ZL
    Zhijia Li

    Hohai University, China

    9 publications · 472 citations

    9

    h-index

  2. EJ
    E. James Nelson

    Brigham Young University, United States

    7 publications · 260 citations

    7

    h-index

  3. KC
    Kwok‐wing Chau

    Hong Kong Polytechnic University, Hong Kong SAR China

    6 publications · 693 citations

    6

    h-index

  4. AY
    Asaad Y. Shamseldin

    University of Auckland, New Zealand

    6 publications · 749 citations

    6

    h-index

  5. HZ
    Hairong Zhang

    Huazhong University of Science and Technology, China

    5 publications · 466 citations

    5

    h-index

1–5 of 1.8K

Venues

  1. Journal of Hydrology

    56 publications · 28.9K citations

    36

    h-index

  2. Hydrology and earth system sciences

    22 publications · 1.5K citations

    19

    h-index

  3. Water Resources Research

    22 publications · 1.5K citations

    18

    h-index

  4. Water

    28 publications · 836 citations

    18

    h-index

  5. Hydrological Processes

    20 publications · 871 citations

    17

    h-index

1–5