Nonlinear Observation Operators
Nonlinear Observation Operators is a mathematical mapping in data assimilation that relates high-dimensional model state variables to observational measurements through a nonlinear function, distinguishing it from linear operators by its ability to represent complex, non-additive dependencies between model states and observed quantities.
43
Publications
2.3K
Citations
111
Authors
75
Institutions
Publications per year
2017–2026
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Parents
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Maximum Likelihood Ensemble Filter: Theoretical Aspects
Milija Županski · Monthly Weather Review · 2005 · 332 citations · Full text
Yongming Wang, Xuguang Wang · Monthly Weather Review · 2016 · 130 citations
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NSF National Center for Atmospheric Research, United States
3 publications · 232 citations
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NSF National Center for Atmospheric Research
Boulder, United States
5 h-index
6 publications
447 citations

University of Leeds
Leeds, United Kingdom
4 h-index
5 publications
187 citations
University of Reading
Reading, United Kingdom
3 h-index
7 publications
187 citations
TU Dortmund University
Dortmund, Germany
3 h-index
3 publications
76 citations
Colorado State University
Fort Collins, United States
3 h-index
3 publications
396 citations
Florida State University
Tallahassee, United States
3 h-index
5 publications
138 citations
Tsinghua University
Beijing, China
2 h-index
9 publications
252 citations
University College London
London, United Kingdom
2 h-index
4 publications
190 citations
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6 publications · 538 citations
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4 publications · 192 citations
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2 publications · 82 citations
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2 publications · 203 citations
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