Satellite Data Assimilation

Satellite Data Assimilation is a computational methodology in meteorological science that integrates observational satellite data into numerical weather prediction models by optimally adjusting the model's initial conditions to improve forecast accuracy.

1.2K

Publications

102K

Citations

4K

Authors

998

Institutions

Publications per year

2017–2026

409

Authors

4K

  1. FW
    Fuzhong Weng

    NOAA National Environmental Satellite Data and Information Service, United States

    28 publications · 1.7K citations

    20

    h-index

  2. RH
    Rolf H. Reichle

    Goddard Space Flight Center, United States

    17 publications · 2.5K citations

    17

    h-index

  3. JD
    John Derber

    NOAA National Centers for Environmental Prediction, United States

    18 publications · 2.2K citations

    17

    h-index

  4. XZ
    Xiaolei Zou

    Florida State University, United States

    18 publications · 979 citations

    15

    h-index

  5. TM
    Takemasa Miyoshi

    University of Maryland, College Park, United States

    18 publications · 906 citations

    15

    h-index

1–5 of 4K

Venues

  1. Monthly Weather Review

    132 publications · 8.1K citations

    51

    h-index

  2. 49

    h-index

  3. Journal of Geophysical Research Atmospheres

    JGR · 55 publications · 5.4K citations

    35

    h-index

  4. Remote Sensing

    57 publications · 2.1K citations

    26

    h-index

  5. Bulletin of the American Meteorological Society

    BAMS · 27 publications · 38.1K citations

    23

    h-index

1–5