Three-dimensional Variational Assimilation

Three-Dimensional Variational Assimilation is a data assimilation method that belongs to the class of variational approaches, distinguished by its formulation of a cost function to optimally adjust a three-dimensional atmospheric state estimate by minimizing the differences between observations and model predictions within a single time window.

286

Publications

20.9K

Citations

877

Authors

237

Institutions

Publications per year

2017–2026

60

Authors

877

  1. JG
    Jidong Gao

    University of Oklahoma, United States

    17 publications · 1.2K citations

    16

    h-index

  2. MX
    Ming Xue

    University of Oklahoma, United States

    15 publications · 1.1K citations

    15

    h-index

  3. JS
    Juanzhen Sun

    NSF National Center for Atmospheric Research, United States

    11 publications · 884 citations

    11

    h-index

  4. FR
    Florence Rabier

    Météo-France, France

    9 publications · 2.2K citations

    9

    h-index

  5. ZL
    Zhijin Li

    Jet Propulsion Laboratory, United States

    9 publications · 338 citations

    9

    h-index

1–5 of 877

Venues

  1. Monthly Weather Review

    71 publications · 7.7K citations

    40

    h-index

  2. 24

    h-index

  3. Weather and Forecasting

    22 publications · 1.6K citations

    19

    h-index

  4. Tellus A Dynamic Meteorology and Oceanography

    16 publications · 883 citations

    14

    h-index

  5. Journal of Atmospheric and Oceanic Technology

    11 publications · 487 citations

    11

    h-index

1–5