Ensemble Error Growth

Ensemble Error Growth is a predictive uncertainty quantification method that characterizes the divergence of multiple model trajectories in dynamical systems by measuring the temporal amplification of initial condition perturbations across an ensemble of simulations.

84

Publications

6.5K

Citations

199

Authors

93

Institutions

Publications per year

2017–2026

24

Authors

199

  1. LM
    Linus Magnusson

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    5 publications · 171 citations

    5

    h-index

  2. SL
    Steven L. Mullen

    University of Arizona, United States

    4 publications · 230 citations

    4

    h-index

  3. RB
    Roberto Buizza

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    4 publications · 1.4K citations

    4

    h-index

  4. TN
    T. N. Palmer

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    4 publications · 1.4K citations

    4

    h-index

  5. JS
    Jorgen S. Frederiksen

    CSIRO Oceans and Atmosphere, Australia

    3 publications · 105 citations

    3

    h-index

1–5 of 199

Venues

  1. Monthly Weather Review

    24 publications · 2.1K citations

    18

    h-index

  2. 14

    h-index

  3. Journal of the Atmospheric Sciences

    13 publications · 1.2K citations

    12

    h-index

  4. Tellus A Dynamic Meteorology and Oceanography

    6 publications · 429 citations

    6

    h-index

  5. Climate Dynamics

    3 publications · 56 citations

    3

    h-index

1–5