Weak-constraint Variational Assimilation

Weak-Constraint Variational Assimilation is a variational data assimilation method that belongs to the class of four-dimensional variational (4D-Var) techniques, distinguished by its explicit allowance for model error through the introduction of a time-dependent, stochastic forcing term in the governing equations, thereby relaxing the strong assumption of perfect model dynamics.

44

Publications

1.9K

Citations

122

Authors

75

Institutions

Publications per year

2017–2026

7

Variants

Weak-constraint 4D-var

Authors

122

  1. HN
    Hans Ngodock

    Stennis Space Center, United States

    6 publications · 163 citations

    6

    h-index

  2. MC
    Matthew Carrier

    Stennis Space Center, United States

    5 publications · 148 citations

    5

    h-index

  3. RD
    Roger Daley

    United States Naval Research Laboratory, United States

    4 publications · 166 citations

    4

    h-index

  4. LX
    Liang Xu

    United States Naval Research Laboratory, United States

    4 publications · 166 citations

    4

    h-index

  5. SS
    Scott Smith

    Stennis Space Center, United States

    3 publications · 88 citations

    3

    h-index

1–5 of 122

Venues

  1. Monthly Weather Review

    11 publications · 625 citations

    11

    h-index

  2. Tellus A Dynamic Meteorology and Oceanography

    11 publications · 346 citations

    10

    h-index

  3. 8

    h-index

  4. Journal of Computational Physics

    2 publications · 62 citations

    2

    h-index

  5. IEEE Geoscience and Remote Sensing Letters

    GRSL · 2 publications · 68 citations

    2

    h-index

1–5