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

13

Authors

111

  1. BJ
    Birgit Jacob

    University of Leeds, United Kingdom

    5 publications · 160 citations

    5

    h-index

  2. JR
    J. R. Partington

    University of Leeds, United Kingdom

    4 publications · 117 citations

    4

    h-index

  3. PJ
    Peter Jan van Leeuwen

    University of Reading, United Kingdom

    3 publications · 107 citations

    3

    h-index

  4. JG
    J. G. Anderson

    NSF National Center for Atmospheric Research, United States

    3 publications · 232 citations

    3

    h-index

  5. MŽ
    Milija Županski

    Colorado State University, United States

    3 publications · 396 citations

    3

    h-index

1–5 of 111

Venues

  1. Monthly Weather Review

    6 publications · 538 citations

    6

    h-index

  2. 4

    h-index

  3. 2

    h-index

  4. Integral Equations and Operator Theory

    2 publications · 82 citations

    2

    h-index

  5. Journal of Atmospheric and Oceanic Technology

    2 publications · 203 citations

    2

    h-index

1–5