Observation Operator Design

Observation Operator Design is a methodological framework within data assimilation that specifies the mathematical mapping from model state space to observational space, distinguishing itself by formalizing how simulated variables are transformed to match the physical units and spatial-temporal support of real-world measurements.

54

Publications

3.1K

Citations

175

Authors

83

Institutions

Publications per year

2017–2026

19

Authors

175

  1. PP
    Paul Poli

    Météo-France, France

    3 publications · 67 citations

    3

    h-index

  2. GH
    George H. Weiss

    National Institutes of Health, United States

    3 publications · 421 citations

    3

    h-index

  3. YK
    Ying‐Hwa Kuo

    NSF National Center for Atmospheric Research, United States

    3 publications · 198 citations

    3

    h-index

  4. SL
    Sarah L. Dance

    University of Reading, United Kingdom

    3 publications · 325 citations

    3

    h-index

  5. VD
    Véronique Ducrocq

    Météo-France, France

    3 publications · 118 citations

    3

    h-index

1–5 of 175

Venues

  1. 13

    h-index

  2. Monthly Weather Review

    8 publications · 292 citations

    8

    h-index

  3. Journal of Geophysical Research Atmospheres

    JGR · 3 publications · 299 citations

    3

    h-index

  4. Atmospheric measurement techniques

    2 publications · 90 citations

    2

    h-index

  5. Tellus A Dynamic Meteorology and Oceanography

    2 publications · 53 citations

    2

    h-index

1–5