Probabilistic Drought Forecasting

Probabilistic Drought Forecasting is a drought forecasting approach that quantifies the likelihood of future drought conditions by providing probabilistic estimates of drought onset, duration, severity, and spatial extent, distinguishing itself from deterministic methods through its explicit representation of predictive uncertainty.

72

Publications

4.6K

Citations

234

Authors

130

Institutions

Publications per year

2017–2026

32

Authors

234

  1. VP
    Vijay P. Singh

    Texas A&M University, United States

    5 publications · 301 citations

    5

    h-index

  2. TK
    Tae‐Woong Kim

    Hanyang University, South Korea

    4 publications · 236 citations

    4

    h-index

  3. HW
    Haijiang Wu

    Northwest A&F University, China

    3 publications · 95 citations

    3

    h-index

  4. GR
    Giuseppe Rossi

    University of Florence, Italy

    3 publications · 170 citations

    3

    h-index

  5. AC
    Antonino Cancelliere

    University of Catania, Italy

    3 publications · 170 citations

    3

    h-index

1–5 of 234

Venues

  1. Water Resources Management

    8 publications · 590 citations

    8

    h-index

  2. Journal of Hydrology

    8 publications · 701 citations

    8

    h-index

  3. 6

    h-index

  4. Hydrology and earth system sciences

    3 publications · 288 citations

    3

    h-index

  5. Journal of Geophysical Research Atmospheres

    JGR · 3 publications · 83 citations

    3

    h-index

1–5