Cloud Vertical Structure Retrieval

Cloud Vertical Structure Retrieval is a methodological framework in cloud remote sensing that uniquely enables the determination of the vertical distribution and layering characteristics of clouds through the analysis of multi-spectral or multi-sensor observational data.

80

Publications

4.9K

Citations

336

Authors

136

Institutions

Publications per year

2017–2026

22

Authors

336

  1. ZL
    Zhanqing Li

    University of Maryland, College Park, United States

    5 publications · 471 citations

    5

    h-index

  2. PG
    P. G. J. Irwin

    University of Oxford, United Kingdom

    5 publications · 165 citations

    5

    h-index

  3. GL
    Graeme L. Stephens

    Colorado State University, United States

    4 publications · 262 citations

    4

    h-index

  4. PM
    Patrick Minnis

    Langley Research Center, United States

    4 publications · 172 citations

    4

    h-index

  5. HC
    Hélène Chepfer

    Laboratoire de Météorologie Dynamique, France

    4 publications · 291 citations

    4

    h-index

1–5 of 336

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 7 publications · 597 citations

    7

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 7 publications · 582 citations

    7

    h-index

  3. Atmospheric chemistry and physics

    7 publications · 394 citations

    7

    h-index

  4. Icarus

    7 publications · 252 citations

    7

    h-index

  5. Climate Dynamics

    5 publications · 213 citations

    5

    h-index

1–5