Climate Uncertainty Quantification

Climate Uncertainty Quantification is a methodological framework within climate risk analytics that characterizes and quantifies epistemic and aleatory uncertainties in climate models, data, and projections to systematically assess the reliability and robustness of climate-related risk estimates.

867

Publications

73.7K

Citations

2.6K

Authors

1.1K

Institutions

Publications per year

2017–2026

385

Authors

2.6K

  1. MA
    Myles Allen

    University of Oxford, United Kingdom

    15 publications · 3.8K citations

    13

    h-index

  2. DA
    David A. Stainforth

    London School of Economics and Political Science, United Kingdom

    12 publications · 4.7K citations

    12

    h-index

  3. CE
    Chris E. Forest

    Pennsylvania State University, United States

    12 publications · 1.3K citations

    11

    h-index

  4. AS
    Andrei Sokolov

    Massachusetts Institute of Technology, United States

    11 publications · 998 citations

    11

    h-index

  5. RK
    Reto Knutti

    ETH Zurich, Switzerland

    10 publications · 1.1K citations

    10

    h-index

1–5 of 2.6K

Venues

  1. Climatic Change

    66 publications · 4.6K citations

    33

    h-index

  2. Geophysical Research Letters

    26 publications · 2.1K citations

    21

    h-index

  3. SSRN Electronic Journal

    Repository · 25 publications · 1.7K citations

    20

    h-index

  4. Climate Dynamics

    24 publications · 1.7K citations

    20

    h-index

  5. Journal of Climate

    24 publications · 1.7K citations

    19

    h-index

1–5