Ensemble Groundwater Forecasting

Ensemble Groundwater Forecasting is a groundwater forecasting method that integrates multiple individual models or simulations to produce a probabilistic or consensus estimate of future groundwater levels, thereby accounting for uncertainties in model structure, parameters, and input data.

21

Publications

1.3K

Citations

98

Authors

58

Institutions

Publications per year

2017–2026

20

Authors

98

  1. XW
    Xiaohu Wen

    Chinese Academy of Sciences, China

    2 publications · 63 citations

    2

    h-index

  2. DK
    Dilip Kumar Roy

    Bangladesh Agricultural Research Institute, Bangladesh

    2 publications · 50 citations

    2

    h-index

  3. DS
    Dimitri Solomatine

    IHE Delft Institute for Water Education, Netherlands

    2 publications · 121 citations

    2

    h-index

  4. AA
    Alessandro Amaranto

    University of Nebraska–Lincoln, United States

    2 publications · 121 citations

    2

    h-index

  5. FM
    Francisco Muñoz‐Arriola

    University of Nebraska–Lincoln, United States

    2 publications · 121 citations

    2

    h-index

1–5 of 98

Venues

  1. Water

    5 publications · 212 citations

    5

    h-index

  2. Natural Resources Research

    NRR · 2 publications · 94 citations

    2

    h-index

  3. Environmental Science and Pollution Research

    ESPR · 2 publications · 69 citations

    2

    h-index

  4. Applied Sciences

    1 publications · 17 citations

    1

    h-index

  5. Groundwater for Sustainable Development

    2 publications · 32 citations

    1

    h-index

1–5