Surface Observations Assimilation

Surface Observations Assimilation is a data assimilation method that integrates in situ measurements from surface-based observing systems into numerical weather prediction models to improve the accuracy of the initial atmospheric state by specifically constraining near-surface variables such as temperature, humidity, and wind speed.

91

Publications

3.8K

Citations

368

Authors

137

Institutions

Publications per year

2017–2026

27

Authors

368

  1. DJ
    David J. Stensrud

    NOAA National Severe Storms Laboratory, United States

    3 publications · 210 citations

    3

    h-index

  2. JP
    Joshua P. Hacker

    NSF National Center for Atmospheric Research, United States

    3 publications · 125 citations

    3

    h-index

  3. ZL
    Zhiquan Liu

    NSF National Center for Atmospheric Research, United States

    3 publications · 250 citations

    3

    h-index

  4. ZW
    Zifa Wang

    Institute of Atmospheric Physics, China

    2 publications · 279 citations

    2

    h-index

  5. HY
    Hui-Young Yun

    Anyang University, South Korea

    2 publications · 33 citations

    2

    h-index

1–5 of 368

Venues

  1. Monthly Weather Review

    22 publications · 1.3K citations

    16

    h-index

  2. 6

    h-index

  3. Weather and Forecasting

    4 publications · 63 citations

    4

    h-index

  4. Atmospheric chemistry and physics

    4 publications · 211 citations

    4

    h-index

  5. Atmospheric Environment

    4 publications · 137 citations

    4

    h-index

1–5