Cloud Base Height Retrieval

Cloud Base Height Retrieval is a methodological framework in atmospheric remote sensing that determines the vertical elevation of the lowest cloud layer above the Earth's surface using ground-based or satellite-borne observational data.

130

Publications

6.4K

Citations

583

Authors

194

Institutions

Publications per year

2017–2026

42

Variants

Cloud Base Height Estimation

Authors

583

  1. SD
    Steven D. Miller

    Colorado State University, United States

    5 publications · 245 citations

    5

    h-index

  2. PM
    Patrick Minnis

    Langley Research Center, United States

    5 publications · 567 citations

    5

    h-index

  3. DR
    Daniel Rosenfeld

    Hebrew University of Jerusalem, Israel

    5 publications · 232 citations

    5

    h-index

  4. EE
    Eugene E. Clothiaux

    Pennsylvania State University, United States

    5 publications · 248 citations

    5

    h-index

  5. ZL
    Zhanqing Li

    University of Maryland, College Park, United States

    4 publications · 172 citations

    4

    h-index

1–5 of 583

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 12 publications · 992 citations

    12

    h-index

  2. Geophysical Research Letters

    11 publications · 587 citations

    11

    h-index

  3. International Journal of Remote Sensing

    9 publications · 395 citations

    9

    h-index

  4. Atmospheric measurement techniques

    9 publications · 394 citations

    9

    h-index

  5. Journal of Atmospheric and Oceanic Technology

    8 publications · 607 citations

    8

    h-index

1–5