Liquid phase cloud microphysical property estimates from CALIPSO measurements

A neural-network algorithm that uses CALIPSO lidar measurements to infer droplet effective radius, extinction coefficient, liquid-water content, and droplet number concentration for water clouds is described and assessed. These results are verified against values inferred from High-Spectral-Resolution Lidar (HSRL) and Research Scanning Polarimeter (RSP) measurements made on an aircraft that flew under CALIPSO. The global cloud microphysical properties are derived from 14+ years of CALIPSO lidar measurements, and the droplet sizes are compared to corresponding values inferred from MODIS passive imagery. This new product will provide constraints to improve modeling of Earth's water cycle and cloud-climate interactions.

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Author Hu, Y.
Lu, X.
Zhai, P.
Hostetler, C. A.
Hair, J. W.
Cairns, B.
Sun, W.
Stamnes, S.
Omar, A.
Baize, R.
Videen, G.
Mace, J.
McCoy, D. T.
McCoy, Isabel
Wood, R.
Publisher UCAR/NCAR - Library
Publication Date 2021-09-08T00:00:00
Digital Object Identifier (DOI) Not Assigned
Alternate Identifier N/A
Resource Version N/A
Topic Category geoscientificInformation
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Metadata Date 2025-07-11T16:11:59.703793
Metadata Record Identifier edu.ucar.opensky::articles:25861
Metadata Language eng; USA
Suggested Citation Hu, Y., Lu, X., Zhai, P., Hostetler, C. A., Hair, J. W., Cairns, B., Sun, W., Stamnes, S., Omar, A., Baize, R., Videen, G., Mace, J., McCoy, D. T., McCoy, Isabel, Wood, R.. (2021). Liquid phase cloud microphysical property estimates from CALIPSO measurements. UCAR/NCAR - Library. https://n2t.org/ark:/85065/d76d5xtz. Accessed 02 August 2025.

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