Articles | Volume 12, issue 1
https://doi.org/10.5194/amt-12-703-2019
https://doi.org/10.5194/amt-12-703-2019
Research article
 | 
01 Feb 2019
Research article |  | 01 Feb 2019

Discriminating between clouds and aerosols in the CALIOP version 4.1 data products

Zhaoyan Liu, Jayanta Kar, Shan Zeng, Jason Tackett, Mark Vaughan, Melody Avery, Jacques Pelon, Brian Getzewich, Kam-Pui Lee, Brian Magill, Ali Omar, Patricia Lucker, Charles Trepte, and David Winker

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Mark Vaughan on behalf of the Authors (13 Nov 2018)  Author's response   Manuscript 
ED: Publish as is (30 Nov 2018) by James Campbell
AR by Mark Vaughan on behalf of the Authors (10 Dec 2018)  Manuscript 

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Mark Vaughan on behalf of the Authors (18 Jan 2019)   Author's adjustment   Manuscript
EA: Adjustments approved (30 Jan 2019) by James Campbell
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Short summary
We describe the enhancements made to the cloud–aerosol discrimination (CAD) algorithms used to produce the CALIPSO version 4 (V4) data products. Revisions to the CAD probability distribution functions have greatly improved the recognition of aerosol layers lofted into the upper troposphere, and CAD is now applied to all layers detected in the stratosphere and all layers detected at single-shot resolution. Detailed comparisons show significant improvements relative to previous versions.