Error Growth Diagnostics
Error Growth Diagnostics is a methodological framework within the study of dynamical systems that systematically identifies, quantifies, and analyzes the sources and evolution of errors in predictive models over time, distinguishing itself by focusing on the diagnostic decomposition of error growth mechanisms rather than mere error measurement or correction.
23
Publications
2.2K
Citations
65
Authors
38
Institutions
Publications per year
2017–2026
8
Parents
23
Predictability of Turbulent Flows
C. E. Leith, Robert H. Kraichnan · Journal of the Atmospheric Sciences · 1972 · 294 citations · Full text
1–5 of 23
65
NSF National Center for Atmospheric Research, United States
2 publications · 157 citations
2
h-index
2
h-index
2
h-index
NSF National Center for Atmospheric Research, United States
2 publications · 62 citations
2
h-index
2
h-index
1–5 of 65
38

NSF National Center for Atmospheric Research
Boulder, United States
4 h-index
5 publications
631 citations
University of Oklahoma
Norman, United States
2 h-index
6 publications
160 citations
Ludwig-Maximilians-Universität München
Munich, Germany
2 h-index
5 publications
285 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
4 publications
66 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
2 publications
42 citations
Jiangsu Provincial Meteorological Bureau
Nanjing, China
1 h-index
1 publications
18 citations
University Corporation for Atmospheric Research
Boulder, United States
1 h-index
3 publications
93 citations

Nanjing University of Information Science and Technology
Nanjing, China
1 h-index
5 publications
90 citations
1–8 of 38
4 publications · 161 citations
4
h-index
4 publications · 266 citations
4
h-index
2 publications · 31 citations
2
h-index
2 publications · 63 citations
2
h-index
2 publications · 1.4K citations
2
h-index
1–5