Probabilistic Temperature Forecasting

Probabilistic Temperature Forecasting is a forecasting methodology that quantifies uncertainty in temperature predictions by providing a probability distribution over possible future temperature values, rather than a single deterministic estimate.

26

Publications

1.4K

Citations

76

Authors

50

Institutions

Publications per year

2017–2026

7

Authors

76

  1. AH
    Allan H. Murphy

    Oregon State University, United States

    3 publications · 134 citations

    3

    h-index

  2. TG
    Tilmann Gneiting

    University of Washington, United States

    2 publications · 100 citations

    2

    h-index

  3. AE
    Adrian E. Raftery

    University of Washington, United States

    2 publications · 100 citations

    2

    h-index

  4. RL
    Robert L. Winkler

    Duke University, United States

    2 publications · 75 citations

    2

    h-index

  5. TK
    Tzong‐Wann Kao

    National Taiwan University of Science and Technology, Taiwan

    1 publications · 107 citations

    1

    h-index

1–5 of 76

Venues

  1. Monthly Weather Review

    4 publications · 391 citations

    4

    h-index

  2. 3

    h-index

  3. Bulletin of the American Meteorological Society

    BAMS · 2 publications · 41 citations

    2

    h-index

  4. Tellus A Dynamic Meteorology and Oceanography

    1 publications · 30 citations

    1

    h-index

  5. IEEE Transactions on Power Delivery

    1 publications · 53 citations

    1

    h-index

1–5