Probabilistic Climate Forecasting

Probabilistic Climate Forecasting is a climate prediction methodology that quantifies uncertainty by assigning probabilities to multiple plausible future climate states, distinguishing itself from deterministic forecasting through its explicit representation of predictive confidence and likelihood distributions.

101

Publications

7.3K

Citations

317

Authors

177

Institutions

Publications per year

2017–2026

27

Authors

317

  1. MA
    Myles Allen

    University of Oxford, United Kingdom

    5 publications · 606 citations

    5

    h-index

  2. DA
    David A. Stainforth

    London School of Economics and Political Science, United Kingdom

    4 publications · 604 citations

    4

    h-index

  3. JR
    Jouni Räisänen

    University of Helsinki, Finland

    3 publications · 85 citations

    3

    h-index

  4. DS
    Daniel S. Wilks

    Cornell University, United States

    3 publications · 61 citations

    3

    h-index

  5. SJ
    Simon J. Mason

    Columbia University, United States

    3 publications · 533 citations

    3

    h-index

1–5 of 317

Venues

  1. Journal of Climate

    8 publications · 632 citations

    8

    h-index

  2. Climate Dynamics

    7 publications · 393 citations

    7

    h-index

  3. International Journal of Climatology

    6 publications · 517 citations

    6

    h-index

  4. Tellus A Dynamic Meteorology and Oceanography

    5 publications · 238 citations

    5

    h-index

  5. Monthly Weather Review

    5 publications · 827 citations

    5

    h-index

1–5