Observation Operator Development

Observation Operator Development is the systematic formulation of a mathematical mapping that translates model state variables into simulated observational space, distinguishing itself by enabling the direct comparison of numerical model predictions with actual radar measurements during data assimilation.

40

Publications

2.7K

Citations

150

Authors

65

Institutions

Publications per year

2017–2026

11

Publications

40

Authors

150

  1. YK
    Ying‐Hwa Kuo

    NSF National Center for Atmospheric Research, United States

    3 publications · 508 citations

    3

    h-index

  2. JS
    Juanzhen Sun

    NSF National Center for Atmospheric Research, United States

    3 publications · 601 citations

    3

    h-index

  3. RA
    Richard A. Anthes

    University Corporation for Atmospheric Research, United States

    2 publications · 151 citations

    2

    h-index

  4. JC
    Janet Chang

    Chinese Culture University, Taiwan

    2 publications · 151 citations

    2

    h-index

  5. MJ
    Marta Janisková

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    2 publications · 105 citations

    2

    h-index

1–5 of 150

Venues

  1. 8

    h-index

  2. Monthly Weather Review

    6 publications · 267 citations

    6

    h-index

  3. Journal of Applied Meteorology and Climatology

    JAMC · 2 publications · 380 citations

    2

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 2 publications · 406 citations

    2

    h-index

  5. Advances in Atmospheric Sciences

    2 publications · 135 citations

    2

    h-index

1–5