Four-dimensional Variational Assimilation

Four-Dimensional Variational Assimilation is a data assimilation method that belongs to the class of variational techniques and specifically integrates observational data across a continuous time window by minimizing a cost function that measures the misfit between the model trajectory and observations in both space and time.

384

Publications

30.6K

Citations

1K

Authors

338

Institutions

Publications per year

2017–2026

46

Authors

1K

  1. JT
    Jean‐Noël Thépaut

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    15 publications · 2.8K citations

    14

    h-index

  2. AM
    Andrew M. Moore

    University of California, Santa Cruz, United States

    13 publications · 1.1K citations

    13

    h-index

  3. PC
    Philippe Courtier

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    12 publications · 2.5K citations

    12

    h-index

  4. IM
    I. M. Navon

    Florida State University, United States

    13 publications · 609 citations

    12

    h-index

  5. XZ
    Xiaolei Zou

    Florida State University, United States

    12 publications · 484 citations

    12

    h-index

1–5 of 1K

Venues

  1. Monthly Weather Review

    80 publications · 6.6K citations

    41

    h-index

  2. 40

    h-index

  3. Tellus A Dynamic Meteorology and Oceanography

    37 publications · 1.3K citations

    21

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 13 publications · 1.2K citations

    13

    h-index

  5. Journal of the Atmospheric Sciences

    15 publications · 470 citations

    13

    h-index

1–5