Ensemble Uncertainty

Ensemble Uncertainty is a type of predictive uncertainty quantification that characterizes the variability in predictions generated by multiple models within an ensemble, distinguishing itself from other uncertainty types by attributing disagreement among ensemble members to model epistemic uncertainty.

140

Publications

10.6K

Citations

550

Authors

294

Institutions

Publications per year

2017–2026

75

Authors

550

  1. PR
    Paul R. Houser

    George Mason University, United States

    3 publications · 227 citations

    3

    h-index

  2. SE
    Sue Ellen Haupt

    NSF National Center for Atmospheric Research, United States

    3 publications · 72 citations

    3

    h-index

  3. VM
    Vivien Mallet

    Institut national de recherche en sciences et technologies du numérique, France

    3 publications · 59 citations

    3

    h-index

  4. DS
    D. Stauffer

    Pennsylvania State University, United States

    3 publications · 72 citations

    3

    h-index

  5. AM
    Andrey Malinin

    University of Cambridge, United Kingdom

    3 publications · 178 citations

    3

    h-index

1–5 of 550

Venues

  1. arXiv (Cornell University)

    Repository · 12 publications · 551 citations

    12

    h-index

  2. 6

    h-index

  3. Journal of Climate

    5 publications · 489 citations

    5

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 5 publications · 310 citations

    5

    h-index

  5. Weather and Forecasting

    4 publications · 130 citations

    4

    h-index

1–5