Ice Microphysics Retrieval

Ice Microphysics Retrieval is a scientific method that belongs to the class of remote sensing inversion techniques and is specifically differentiated by its use of dual-polarization radar observables to infer the physical properties and characteristics of ice particles in clouds, such as size, shape, density, and crystal habit.

403

Publications

24.3K

Citations

1.2K

Authors

381

Institutions

Publications per year

2017–2026

101

Authors

1.2K

  1. AJ
    Andrew J. Heymsfield

    NSF National Center for Atmospheric Research, United States

    37 publications · 3.6K citations

    29

    h-index

  2. PY
    Ping Yang

    Texas A&M University, United States

    23 publications · 1.1K citations

    18

    h-index

  3. SY
    Sergey Y. Matrosov

    Cooperative Institute for Research in Environmental Sciences, United States

    16 publications · 1.2K citations

    16

    h-index

  4. JD
    Julien Delanoe͏̈

    Laboratoire atmosphères, milieux, observations spatiales, France

    19 publications · 2K citations

    16

    h-index

  5. AJ
    Anthony J. Baran

    Met Office, United Kingdom

    14 publications · 1.2K citations

    14

    h-index

1–5 of 1.2K

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 43 publications · 3.5K citations

    33

    h-index

  2. Geophysical Research Letters

    33 publications · 1.8K citations

    23

    h-index

  3. Journal of Applied Meteorology and Climatology

    JAMC · 32 publications · 2K citations

    23

    h-index

  4. Atmospheric chemistry and physics

    25 publications · 1.8K citations

    21

    h-index

  5. Journal of Atmospheric and Oceanic Technology

    23 publications · 1.6K citations

    18

    h-index

1–5