Cloud Amount Prediction

Cloud Amount Prediction is a computational forecasting task in meteorology that estimates the fractional coverage of clouds in a given sky region over a specific time horizon, distinguishing it from related atmospheric predictions by focusing exclusively on the spatial extent and temporal dynamics of cloudiness.

99

Publications

9.4K

Citations

314

Authors

131

Institutions

Publications per year

2017–2026

8

Authors

314

  1. KX
    Kuan‐Man Xu

    Langley Research Center, United States

    3 publications · 512 citations

    3

    h-index

  2. AZ
    Andrzej Z. Kotarba

    Centrum Badań Kosmicznych, Poland

    3 publications · 40 citations

    3

    h-index

  3. SK
    Steven K. Krueger

    University of Utah, United States

    3 publications · 308 citations

    3

    h-index

  4. PJ
    Peter J. Wetzel

    Goddard Space Flight Center, United States

    3 publications · 183 citations

    3

    h-index

  5. AH
    A. Henderson‐Sellers

    Macquarie University, Australia

    3 publications · 67 citations

    3

    h-index

1–5 of 314

Venues

  1. 13

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 10 publications · 754 citations

    10

    h-index

  3. Journal of Climate

    9 publications · 1.3K citations

    9

    h-index

  4. Monthly Weather Review

    9 publications · 400 citations

    9

    h-index

  5. Journal of Applied Meteorology

    6 publications · 679 citations

    6

    h-index

1–5