Articles | Volume 12, issue 11
https://doi.org/10.5194/amt-12-6241-2019
https://doi.org/10.5194/amt-12-6241-2019
Research article
 | 
28 Nov 2019
Research article |  | 28 Nov 2019

Cloud-Aerosol Transport System (CATS) 1064 nm calibration and validation

Rebecca M. Pauly, John E. Yorks, Dennis L. Hlavka, Matthew J. McGill, Vassilis Amiridis, Stephen P. Palm, Sharon D. Rodier, Mark A. Vaughan, Patrick A. Selmer, Andrew W. Kupchock, Holger Baars, and Anna Gialitaki

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Rebecca Pauly on behalf of the Authors (12 Sep 2019)  Author's response   Manuscript 
ED: Publish as is (23 Sep 2019) by Alexander Kokhanovsky
AR by Rebecca Pauly on behalf of the Authors (10 Oct 2019)
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Short summary
The Cloud Aerosol Transport System (CATS) demonstrated that direct calibration of 1064 nm lidar data from a spaceborne platform is possible. By normalizing the CATS signal to a modeled molecular backscatter profile the CATS data were calibrated, enabling the derivation of optical properties of clouds and aerosols. Comparisons of the calibrated signal with airborne lidar, ground-based lidar, and spaceborne lidar all show agreement within the estimated error bars of the respective instruments.