Statistical Drought Forecasting

Statistical Drought Forecasting is a drought forecasting approach that belongs to the class of empirical methods relying on historical data and probabilistic relationships, distinguished by its use of statistical models to predict drought occurrence, severity, and duration without explicitly simulating underlying physical processes.

55

Publications

4.1K

Citations

217

Authors

125

Institutions

Publications per year

2017–2026

35

Authors

217

  1. RC
    Ravinesh C. Deo

    University of Southern Queensland, Australia

    4 publications · 727 citations

    4

    h-index

  2. JA
    Jan Adamowski

    McGill University, Canada

    3 publications · 506 citations

    3

    h-index

  3. CF
    Chris Funk

    University of California, Santa Barbara, United States

    3 publications · 177 citations

    3

    h-index

  4. JB
    J. Brent Roberts

    Marshall Space Flight Center, United States

    2 publications · 163 citations

    2

    h-index

  5. FR
    F. R. Robertson

    Marshall Space Flight Center, United States

    2 publications · 163 citations

    2

    h-index

1–5 of 217

Venues

  1. Water Resources Management

    5 publications · 347 citations

    5

    h-index

  2. Journal of Hydrology

    5 publications · 282 citations

    5

    h-index

  3. 3

    h-index

  4. Atmospheric Research

    3 publications · 598 citations

    3

    h-index

  5. Environmental Earth Sciences

    2 publications · 107 citations

    2

    h-index

1–5