Statistical Tropical Forecasting

Statistical Tropical Forecasting is a systematic methodology in meteorological science that employs statistical models and historical climate data to predict tropical weather phenomena, distinguishing itself from dynamical forecasting approaches by relying on empirical relationships and probabilistic techniques rather than physical equations of atmospheric motion.

76

Publications

3.4K

Citations

196

Authors

87

Institutions

Publications per year

2017–2026

14

Authors

196

  1. CJ
    Charles J. Neumann

    National Oceanic and Atmospheric Administration, United States

    7 publications · 261 citations

    7

    h-index

  2. PJ
    Philip J. Klotzbach

    Colorado State University, United States

    4 publications · 137 citations

    4

    h-index

  3. GV
    Gabriele Villarini

    University of Iowa, United States

    3 publications · 228 citations

    3

    h-index

  4. JB
    James B. Elsner

    Florida State University, United States

    3 publications · 204 citations

    3

    h-index

  5. JC
    Johnny C. L. Chan

    City University of Hong Kong, Hong Kong SAR China

    3 publications · 198 citations

    3

    h-index

1–5 of 196

Venues

  1. Weather and Forecasting

    13 publications · 883 citations

    12

    h-index

  2. Monthly Weather Review

    13 publications · 522 citations

    11

    h-index

  3. Journal of Climate

    6 publications · 360 citations

    6

    h-index

  4. Climate Dynamics

    6 publications · 178 citations

    6

    h-index

  5. International Journal of Climatology

    3 publications · 80 citations

    3

    h-index

1–5