Scatterometer Data Assimilation

Scatterometer Data Assimilation is a numerical weather prediction data assimilation method that integrates wind vector observations from satellite-borne scatterometers into atmospheric models to improve the accuracy of initial conditions by specifically constraining surface wind fields over oceans.

63

Publications

3.3K

Citations

175

Authors

54

Institutions

Publications per year

2017–2026

12

Authors

175

  1. AS
    Ad Stoffelen

    Royal Netherlands Meteorological Institute, Netherlands

    6 publications · 310 citations

    6

    h-index

  2. WW
    Wolfgang Wagner

    TU Wien, Austria

    5 publications · 924 citations

    5

    h-index

  3. AH
    A. Hollingsworth

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    5 publications · 243 citations

    5

    h-index

  4. LI
    Lars Isaksen

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    4 publications · 279 citations

    4

    h-index

  5. PM
    P. M. Woiceshyn

    Jet Propulsion Laboratory, United States

    4 publications · 74 citations

    4

    h-index

1–5 of 175

Venues

  1. 11

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 11 publications · 339 citations

    11

    h-index

  3. Monthly Weather Review

    11 publications · 395 citations

    10

    h-index

  4. 7

    h-index

  5. 4

    h-index

1–5