Dynamic Drought Forecasting

Dynamic Drought Forecasting is a drought forecasting methodology that dynamically integrates real-time hydroclimatic data and adaptive model parameters to continuously update forecasts, distinguishing it from static or conventional approaches by its capacity to evolve in response to changing environmental conditions.

20

Publications

1.1K

Citations

89

Authors

62

Institutions

Publications per year

2017–2026

14

Authors

89

  1. IR
    Imed Riadh Farah

    Manouba University, Tunisia

    1 publications · 31 citations

    2

    h-index

  2. AB
    Ali Ben Abbes

    Manouba University, Tunisia

    1 publications · 31 citations

    2

    h-index

  3. BV
    Boud Verbeiren

    Vrije Universiteit Brussel, Belgium

    1 publications · 140 citations

    1

    h-index

  4. SN
    Shaoqiang Ni

    Tsinghua University, China

    1 publications · 11 citations

    1

    h-index

  5. WZ
    Wenkai Zhang

    Union Hospital, China

    1 publications · 66 citations

    1

    h-index

1–5 of 89

Venues

  1. Arabian Journal of Geosciences

    2 publications · 72 citations

    2

    h-index

  2. Water Resources Management

    2 publications · 159 citations

    2

    h-index

  3. Journal of Hydrology

    2 publications · 110 citations

    2

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5