Cloud Fraction Estimation

Cloud Fraction Estimation is a remote sensing methodology that quantifies the proportion of cloud-affected pixels within a given atmospheric field of view, distinguished by its focus on determining the areal coverage of clouds as a critical metric for weather and climate modeling.

672

Publications

45.6K

Citations

2K

Authors

579

Institutions

Publications per year

2017–2026

170

Authors

2K

  1. PM
    Patrick Minnis

    Langley Research Center, United States

    21 publications · 1.9K citations

    19

    h-index

  2. XD
    Xiquan Dong

    University of North Dakota, United States

    14 publications · 892 citations

    14

    h-index

  3. PS
    P. Stammes

    Royal Netherlands Meteorological Institute, Netherlands

    13 publications · 2.5K citations

    13

    h-index

  4. BX
    Baike Xi

    University of North Dakota, United States

    11 publications · 810 citations

    11

    h-index

  5. LD
    Larry Di Girolamo

    University of Illinois Urbana-Champaign, United States

    12 publications · 628 citations

    11

    h-index

1–5 of 2K

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 96 publications · 8.1K citations

    46

    h-index

  2. Journal of Climate

    53 publications · 5.1K citations

    34

    h-index

  3. Atmospheric chemistry and physics

    43 publications · 3K citations

    27

    h-index

  4. Geophysical Research Letters

    31 publications · 2.2K citations

    23

    h-index

  5. Journal of the Atmospheric Sciences

    28 publications · 1.7K citations

    23

    h-index

1–5