Coupled Data Assimilation

Coupled Data Assimilation is a data assimilation framework that simultaneously integrates observations from multiple Earth system components—such as the ocean and atmosphere—into a coupled numerical model by jointly updating the states of interacting domains, thereby preserving dynamical consistency across component boundaries.

149

Publications

8.2K

Citations

563

Authors

229

Institutions

Publications per year

2017–2026

66

Authors

563

  1. SZ
    Shaoqing Zhang

    Ocean University of China, China

    14 publications · 1K citations

    13

    h-index

  2. ZL
    Zhengyu Liu

    University of Wisconsin–Madison, United States

    5 publications · 231 citations

    5

    h-index

  3. AS
    Amos S. Lawless

    University of Reading, United Kingdom

    5 publications · 187 citations

    5

    h-index

  4. LN
    Lars Nerger

    Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Germany

    5 publications · 249 citations

    5

    h-index

  5. PL
    Patrick Laloyaux

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    4 publications · 695 citations

    4

    h-index

1–5 of 563

Venues

  1. Monthly Weather Review

    16 publications · 975 citations

    15

    h-index

  2. 11

    h-index

  3. Journal of Advances in Modeling Earth Systems

    JAMES · 9 publications · 667 citations

    9

    h-index

  4. Geophysical Research Letters

    8 publications · 305 citations

    8

    h-index

  5. Tellus A Dynamic Meteorology and Oceanography

    7 publications · 308 citations

    7

    h-index

1–5