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
Parents
84
A System Simulation Approach to Ensemble Prediction
P. L. Houtekamer, L. Lefaivre, Jacques Derome et al. · Monthly Weather Review · 1996 · 591 citations
Predictability of Turbulent Flows
C. E. Leith, Robert H. Kraichnan · Journal of the Atmospheric Sciences · 1972 · 294 citations · Full text
1–5 of 84
199
European Centre for Medium-Range Weather Forecasts, United Kingdom
5 publications · 171 citations
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4
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European Centre for Medium-Range Weather Forecasts, United Kingdom
4 publications · 1.4K citations
4
h-index
European Centre for Medium-Range Weather Forecasts, United Kingdom
4 publications · 1.4K citations
4
h-index
3
h-index
1–5 of 199
93

NSF National Center for Atmospheric Research
Boulder, United States
12 h-index
20 publications
1.3K citations

European Centre for Medium-Range Weather Forecasts
Reading, United Kingdom
11 h-index
27 publications
4.7K citations
University of Oklahoma
Norman, United States
7 h-index
13 publications
438 citations
Institute of Atmospheric Physics
Beijing, China
5 h-index
7 publications
162 citations
University of Reading
Reading, United Kingdom
4 h-index
8 publications
316 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
6 publications
146 citations
University of Arizona
Tucson, United States
4 h-index
7 publications
405 citations

University of Leeds
Leeds, United Kingdom
3 h-index
5 publications
240 citations
1–8 of 93
24 publications · 2.1K citations
18
h-index
15 publications · 2K citations
14
h-index
13 publications · 1.2K citations
12
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6 publications · 429 citations
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3 publications · 56 citations
3
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1–5