Incremental Analysis Updating

Incremental Analysis Updating is a data assimilation method that belongs to the class of sequential analysis techniques, distinguished by its approach of applying analysis increments recursively to correct forecast fields while preserving the temporal coherence of the background error covariance evolution.

12

Publications

691

Citations

32

Authors

18

Institutions

Publications per year

2017–2026

2

Authors

32

  1. RS
    Roland Stull

    University of British Columbia, Canada

    1 publications · 10 citations

    1

    h-index

  2. AC
    Adam Clayton

    Met Office, United Kingdom

    1 publications · 61 citations

    1

    h-index

  3. XD
    Xingxiu Deng

    University of British Columbia, Canada

    1 publications · 10 citations

    1

    h-index

  4. KB
    Kay Bergemann

    University of Potsdam, Germany

    1 publications · 51 citations

    1

    h-index

  5. PH
    Peter Hall

    Australian National University, Australia

    1 publications · 224 citations

    1

    h-index

1–5 of 32

Venues

  1. Monthly Weather Review

    4 publications · 141 citations

    4

    h-index

  2. Neural Computation

    1 publications · 50 citations

    1

    h-index

  3. Journal of Atmospheric and Oceanic Technology

    1 publications · 53 citations

    1

    h-index

  4. 1

    h-index

1–5