Cloud Cover Uncertainty Quantification

Cloud Cover Uncertainty Quantification is a systematic method for characterizing the epistemic and aleatoric uncertainties associated with predictions of cloud cover extent and dynamics in meteorological forecasting models.

38

Publications

2K

Citations

130

Authors

79

Institutions

Publications per year

2017–2026

19

Authors

130

  1. HM
    H. M. Van de Poll

    University of Reading, United Kingdom

    3 publications · 78 citations

    3

    h-index

  2. YG
    Yi Gu

    Sichuan University, China

    3 publications · 145 citations

    3

    h-index

  3. CH
    Chao Han

    Beihang University, China

    2 publications · 92 citations

    2

    h-index

  4. AZ
    Andrzej Z. Kotarba

    Centrum Badań Kosmicznych, Poland

    2 publications · 29 citations

    2

    h-index

  5. GW
    Guohua Wu

    Central South University, China

    2 publications · 120 citations

    2

    h-index

1–5 of 130

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 5 publications · 433 citations

    5

    h-index

  2. Journal of Climate

    4 publications · 213 citations

    4

    h-index

  3. Journal of Geophysical Research Atmospheres

    JGR · 3 publications · 195 citations

    3

    h-index

  4. Remote Sensing

    2 publications · 44 citations

    2

    h-index

  5. Geophysical Research Letters

    2 publications · 187 citations

    2

    h-index

1–5