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remotesensing-08-01006.pdf
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Final Published Version
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Univ Arizona, Dept Elect & Comp EngnIssue Date
2016-12-09
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Aerosol Retrievals from CALIPSO Lidar Ocean Surface Returns 2016, 8 (12):1006 Remote SensingJournal
Remote SensingRights
© 2016 by the authors; licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License. (CC BY 4.0).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
This paper describes approaches to retrieve important aerosol results from the strong lidar return signals that are received by the space-borne CALIPSO lidar system after reflecting off-ocean surfaces. Relations, from which the theoretically expected values of area under ocean surface returns can be computed, are presented. A detailed description of the lidar system response to the ocean surface returns and the processes of sampling and averaging of lidar return signals are provided. An effective technique that reconstructs the lidar response to surface returnsstarting from down-linked samplesand calculates the area under it, has been developed and described. The calculated area values are validated after comparing them to their theoretically predicted counterpart values. Methods to retrieve aerosol optical depths (AODs) from these calculated areas are described and retrieval results are presented, including retrieval comparison with independent AOD measurements made by an airborne High Spectral Resolution Lidar (HSRL) that yielded quite good agreement. Techniques and results are also presented on using the spectral ratios of the surface response areas to determine spectral ratios of aerosol round-trip transmission and AOD spectral difference, without need of a specific/accurate ocean-surface reflectance model.ISSN
2072-4292Version
Final published versionSponsors
NASA CALIPSO Project; NASA through Science Systems and Applications, Inc.Additional Links
http://www.mdpi.com/2072-4292/8/12/1006ae974a485f413a2113503eed53cd6c53
10.3390/rs8121006
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Except where otherwise noted, this item's license is described as © 2016 by the authors; licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License. (CC BY 4.0).

