Cloud Motion Vector Retrieval

Cloud Motion Vector Retrieval is a remote sensing technique in satellite meteorology that derives atmospheric wind fields by tracking the displacement of cloud features between successive geostationary satellite images over time.

22

Publications

1.6K

Citations

81

Authors

31

Institutions

Publications per year

2017–2026

3

Variants

Cmv Retrieval

Authors

81

  1. MJ
    M. J. Garay

    Jet Propulsion Laboratory, United States

    3 publications · 212 citations

    3

    h-index

  2. KH
    Kenneth Holmlund

    European Organisation for the Exploitation of Meteorological Satellites, Germany

    2 publications · 343 citations

    2

    h-index

  3. JS
    Johannes Schmetz

    European Organisation for the Exploitation of Meteorological Satellites, Germany

    2 publications · 343 citations

    2

    h-index

  4. CM
    Catherine Moroney

    Jet Propulsion Laboratory, United States

    2 publications · 247 citations

    2

    h-index

  5. JM
    Jan‐Peter Müller

    University College London, United Kingdom

    2 publications · 247 citations

    2

    h-index

1–5 of 81

Venues

  1. Weather and Forecasting

    3 publications · 140 citations

    3

    h-index

  2. 2

    h-index

  3. Solar Energy

    2 publications · 173 citations

    2

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 2 publications · 50 citations

    2

    h-index

  5. Journal of Applied Meteorology and Climatology

    JAMC · 2 publications · 82 citations

    2

    h-index

1–5