Sequential Data Assimilation

Sequential Data Assimilation is a data assimilation method that recursively updates the system state estimate by sequentially incorporating observations as they become available, distinguishing itself from batch methods through its incremental, time-ordered processing of observational data.

188

Publications

19.8K

Citations

538

Authors

262

Institutions

Publications per year

2017–2026

54

Authors

538

  1. GE
    Geir Evensen

    Nansen Environmental and Remote Sensing Center

    10 publications · 6.3K citations

    10

    h-index

  2. SR
    Sebastian Reich

    University of Potsdam, Germany

    5 publications · 242 citations

    5

    h-index

  3. BK
    B. Khattatov

    NSF National Center for Atmospheric Research, United States

    5 publications · 253 citations

    5

    h-index

  4. AS
    A. Seiler

    Equinor (Norway), Norway

    5 publications · 136 citations

    5

    h-index

  5. PM
    Patrick Matgen

    Luxembourg Institute of Science and Technology, Luxembourg

    4 publications · 390 citations

    4

    h-index

1–5 of 538

Venues

  1. 14

    h-index

  2. Water Resources Research

    11 publications · 2.1K citations

    11

    h-index

  3. Journal of Hydrology

    11 publications · 940 citations

    11

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 9 publications · 5.8K citations

    9

    h-index

  5. Hydrology and earth system sciences

    7 publications · 678 citations

    7

    h-index

1–5