Model Error Growth
Model Error Growth is a quantitative framework that characterizes the temporal amplification of inaccuracies in a predictive model's outputs due to the propagation and accumulation of structural and parametric deficiencies inherent in the model's formulation.
128
Publications
13.5K
Citations
286
Authors
138
Institutions
Publications per year
2017–2026
27
Parents
128
1–5 of 128
286
7
h-index
5
h-index
5
h-index
NSF National Center for Atmospheric Research, United States
2 publications · 435 citations
3
h-index
3
h-index
1–5 of 286
138

NSF National Center for Atmospheric Research
Boulder, United States
10 h-index
15 publications
1.7K citations

European Centre for Medium-Range Weather Forecasts
Reading, United Kingdom
9 h-index
21 publications
1.3K citations

Chinese Academy of Sciences
Beijing, China
8 h-index
22 publications
1.6K citations
Institute of Atmospheric Physics
Beijing, China
7 h-index
11 publications
768 citations
Institute of Oceanology
Qingdao, China
6 h-index
12 publications
836 citations
University of Colorado Boulder
Boulder, United States
5 h-index
7 publications
495 citations
University of Maryland, College Park
College Park, United States
5 h-index
14 publications
699 citations

Pennsylvania State University
State College, United States
5 h-index
10 publications
2K citations
1–8 of 138
24 publications · 2.3K citations
19
h-index
18 publications · 1.9K citations
16
h-index
9 publications · 574 citations
9
h-index
7 publications · 488 citations
8
h-index
JGR · 5 publications · 5.6K citations
5
h-index
1–5