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The Calipso Version 4.5 Stratospheric Aerosol Subtyping AlgorithmThe accurate classification of aerosol types injected into the stratosphere is important to properly characterize their chemical and radiative impacts within the Earth climate system. The updated stratospheric aerosol subtyping algorithm used in the version 4.5 (V4.5) release of the Cloud Aerosol Lidar with Orthogonal Polarization (CALIOP) level 2 data products now delivers more comprehensive and accurate classifications than its predecessor. The original algorithm identified four aerosol subtypes for layers detected above the tropopause: volcanic ash, smoke, sulfate/other, and polar stratospheric aerosol (PSA). In the revised algorithm, sulfates are separately identified as a distinct, homogeneous subtype, and the diffuse, weakly scattering layers previously assigned to the sulfate/other class are recategorized as a fifth “unclassified” subtype. By making two structural changes to the algorithm and revising two thresholds, the V4.5 algorithm improves the ability to discriminate between volcanic ash and smoke from pyrocumulonimbus injections, improves the fidelity of the sulfate subtype, and more accurately reflects the uncertainties inherent in the classification process. The 532 nm lidar ratio for volcanic ash was also revised to a value more consistent with the current state of knowledge. This paper briefly reviews the previous version of the algorithm (V4.1 and V4.2) then fully details the rationale and impact of the V4.5 changes on subtype classification frequency for specific events where the dominant aerosol type is known based on the literature. Classification accuracy is best for volcanic ash due to its characteristically high depolarization ratio. Smoke layers in the stratosphere are also classified with reasonable accuracy, though during the daytime a substantial fraction are misclassified as ash. It is also possible for mixtures of ash and sulfate to be misclassified as smoke. The V4.5 sulfate subtype accuracy is less than that for ash or smoke, with sulfates being misclassified as smoke about one-third of the time. However, because exceptionally tenuous layers are now assigned to the unclassified subtype and the revised algorithm levies more stringent criteria for identifying an aerosol as sulfate, it is more likely that layers labeled as this subtype are in fact sulfate compared to those assigned the sulfate/other classification in the previous data release.
Document ID
20230001957
Acquisition Source
Langley Research Center
Document Type
Reprint (Version printed in journal)
Authors
Jason L Tackett
(Langley Research Center Hampton, Virginia, United States)
Jayanta Kar
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Mark A Vaughan
(Langley Research Center Hampton, Virginia, United States)
Brian J Getzewich
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Man-Hae Kim
(Seoul National University Seoul, South Korea)
Jean-Paul Vernier
(National Institute of Aerospace Hampton, Virginia, United States)
Ali H Omar
(Langley Research Center Hampton, Virginia, United States)
Brian E Magill
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Michael C Pitts
(Langley Research Center Hampton, Virginia, United States)
David M Winker
(Langley Research Center Hampton, Virginia, United States)
Date Acquired
February 9, 2023
Publication Date
February 9, 2023
Publication Information
Publication: Atmospheric Measurement Techniques
Publisher: Copernicus Publications
Volume: 16
Issue: 3
Issue Publication Date: February 9, 2023
ISSN: 1867-1381
e-ISSN: 1867-8548
Subject Category
Geophysics
Funding Number(s)
WBS: 653967.04.12.01
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
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