A Classification of Ice Crystal Habits Using Combined Lidar and Scanning Polarimeter Observations during the SEAC(4)RS Campaign

Natalie Midzak; John E. Yorks; Jianglong Zhang; Bastiaan van Diedenhoven; Sarah Woods; Matthew McGill

doi:10.1175/JTECH-D-20-0037.1

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A Classification of Ice Crystal Habits Using Combined Lidar and Scanning Polarimeter Observations during the SEAC(4)RS Campaign

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A Classification of Ice Crystal Habits Using Combined Lidar and Scanning Polarimeter Observations during the SEAC(4)RS Campaign

Natalie Midzak, John E. Yorks, Jianglong Zhang, Bastiaan van Diedenhoven, Sarah Woods and Matthew McGill

Journal of atmospheric and oceanic technology, Vol.37(12), pp.2185-2196

12/01/2020

DOI: 10.1175/JTECH-D-20-0037.1

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Abstract

Using collocated NASA Cloud Physics Lidar (CPL) and Research Scanning Polarimeter (RSP) data from the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC(4)RS) campaign, a new observational-based method was developed which uses a K-means clustering technique to classify ice crystal habit types into seven categories: column, plates, rosettes, spheroids, and three different type of irregulars. Intercompared with the collocated SPEC, Inc., Cloud Particle Imager (CPI) data, the frequency of the detected ice crystal habits from the proposed method presented in the study agrees within 5% with the CPI-reported values for columns, irregulars, rosettes, and spheroids, with more disagreement for plates. This study suggests that a detailed ice crystal habit retrieval could be applied to combined space-based lidar and polarimeter observations such as CALIPSO and POLDER in addition to future missions such as the Aerosols, Clouds, Convection, and Precipitation (A-CCP).

Engineering

Engineering, Ocean

Meteorology & Atmospheric Sciences

Physical Sciences

Science & Technology

Technology

Details

Title: Subtitle: A Classification of Ice Crystal Habits Using Combined Lidar and Scanning Polarimeter Observations during the SEAC(4)RS Campaign
Creators: Natalie Midzak - University of North Dakota
John E. Yorks - Goddard Space Flight Center
Jianglong Zhang - University of North Dakota
Bastiaan van Diedenhoven - Columbia University
Sarah Woods - Stratton Park Engineering Company (United States)
Matthew McGill - Goddard Space Flight Center
Resource Type: Journal article
Publication Details: Journal of atmospheric and oceanic technology, Vol.37(12), pp.2185-2196
DOI: 10.1175/JTECH-D-20-0037.1
ISSN: 0739-0572
eISSN: 1520-0426
Publisher: Amer Meteorological Soc
Number of pages: 12
Grant note: N00014-16-1-2040 / Office of Naval Research Grant; Office of Naval Research 80NSSC18K0887; NNX17AG52G / NASA; National Aeronautics & Space Administration (NASA)
Language: English
Date published: 12/01/2020
Academic Unit: Physics and Astronomy; Chemical and Biochemical Engineering
Record Identifier: 9984276453202771

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