Microphysical characteristics of frozen droplet aggregates from deep convective clouds

During the 2012 Deep Convective Clouds and Chemistry (DC3) experiment the National Science Foundation/National Center for Atmospheric Research Gulfstream V (GV) aircraft sampled the upper anvils of two storms that developed in eastern Colorado on 6 June 2012. A cloud particle imager (CPI) mounted on the GV aircraft recorded images of ice crystals at altitudes of 12.0 to 12.4 km and temperatures (T) from -61 to -55 degrees C. A total of 22 393 CPI crystal images were analyzed, all with maximum dimension (D-max) < 433 mu m and with an average D-max of 80.7 +/- 45.4 mu m. The occurrence of well-defined pristine crystals (e.g., columns and plates) was less than 0.04% by number. Single frozen droplets and frozen droplet aggregates (FDAs) were the dominant habits with fractions of 73.0% (by number) and 46.3 % (by projected area), respectively. The relative frequency of occurrence of single frozen droplets and FDAs depended on temperature and position within the anvil cloud.

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Related Dataset #1 : NSF/NCAR GV (HIAPER) 3V-CPI Raw CPI ROI Imagery. Version 1.0

Related Dataset #2 : Low Rate (LRT - 1 sps) Navigation, State Parameter, and Microphysics Flight-Level Data (NetCDF). Version 3.0
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Author Um, Junshik
McFarquhar, Greg M.
Stith, Jeffrey L.
Jung, Chang Hoon
Lee, Seoung Soo
Lee, Ji Yi
Shin, Younghwan
Lee, Yun Gon
Yang, Yiseok Isaac
Yum, Seong Soo
Kim, Byung-Gon
Cha, Joo Wan
Ko, A-Reum
Publisher UCAR/NCAR - Library
Publication Date 2018-11-29T00:00:00
Digital Object Identifier (DOI) Not Assigned
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T19:19:59.182172
Metadata Record Identifier edu.ucar.opensky::articles:22173
Metadata Language eng; USA
Suggested Citation Um, Junshik, McFarquhar, Greg M., Stith, Jeffrey L., Jung, Chang Hoon, Lee, Seoung Soo, Lee, Ji Yi, Shin, Younghwan, Lee, Yun Gon, Yang, Yiseok Isaac, Yum, Seong Soo, Kim, Byung-Gon, Cha, Joo Wan, Ko, A-Reum. (2018). Microphysical characteristics of frozen droplet aggregates from deep convective clouds. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7qc06g6. Accessed 16 June 2025.

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