Temperature Forecast Uncertainty Quantification

Temperature Forecast Uncertainty Quantification is a methodological framework within meteorological forecasting that characterizes the probabilistic bounds and potential errors in predicted temperature values to convey the reliability of forecasts.

41

Publications

2.1K

Citations

126

Authors

75

Institutions

Publications per year

2017–2026

15

Authors

126

  1. AH
    Allan H. Murphy

    Oregon State University, United States

    6 publications · 203 citations

    6

    h-index

  2. RL
    Robert L. Winkler

    Duke University, United States

    3 publications · 128 citations

    3

    h-index

  3. TR
    Todd R. Kaplan

    University of Exeter, United Kingdom

    2 publications · 65 citations

    2

    h-index

  4. KM
    Ken Mylne

    Met Office, United Kingdom

    2 publications · 56 citations

    2

    h-index

  5. MA
    Myles Allen

    University of Oxford, United Kingdom

    2 publications · 319 citations

    2

    h-index

1–5 of 126

Venues

  1. Bulletin of the American Meteorological Society

    BAMS · 5 publications · 309 citations

    5

    h-index

  2. Weather and Forecasting

    3 publications · 64 citations

    3

    h-index

  3. Journal of Business and Economic Statistics

    JBES · 2 publications · 41 citations

    2

    h-index

  4. Tellus A Dynamic Meteorology and Oceanography

    2 publications · 39 citations

    2

    h-index

  5. Climate Dynamics

    2 publications · 226 citations

    2

    h-index

1–5