Cloud Cover Data Assimilation

Cloud Cover Data Assimilation is a systematic methodology within atmospheric data integration that specifically incorporates observational cloud cover measurements into numerical weather prediction models to improve the accuracy of cloud field initialization and forecasting.

109

Publications

5.5K

Citations

369

Authors

125

Institutions

Publications per year

2017–2026

34

Authors

369

  1. MJ
    Marta Janisková

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    6 publications · 183 citations

    6

    h-index

  2. AG
    Alan Geer

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    6 publications · 644 citations

    6

    h-index

  3. AP
    A. P. McNally

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    5 publications · 589 citations

    5

    h-index

  4. PB
    Péter Bauer

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    5 publications · 517 citations

    5

    h-index

  5. FR
    Florence Rabier

    Météo-France, France

    4 publications · 200 citations

    4

    h-index

1–5 of 369

Venues

  1. 21

    h-index

  2. Monthly Weather Review

    21 publications · 1.1K citations

    16

    h-index

  3. Geophysical Research Letters

    4 publications · 161 citations

    4

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 4 publications · 102 citations

    4

    h-index

  5. Atmospheric Research

    4 publications · 131 citations

    4

    h-index

1–5