Extension of the constrained ratio approach to aerosol retrievals from elastic-scatter and high spectral resolution lidars
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Univ Arizona, Dept Elect & Comp EngnIssue Date
2016-08-23
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Extension of the constrained ratio approach to aerosol retrievals from elastic-scatter and high spectral resolution lidars 2016, 10 (3):036019 Journal of Applied Remote SensingRights
© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.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
A methodology is presented, by which atmospheric aerosol retrievals from a standard, elastic-scatter, lidar can be constrained by using information from coincident measurements from a high spectral resolution lidar (HSRL) or Raman lidar at a different wavelength. As high spectral resolution or inelastic-scattering lidars are now being incorporated coaxially into instruments with traditional, elastic-scatter channels at different wavelengths, a standard approach is needed to incorporate or fuse the diversity of spectral information so as to make maximal use of the aerosol measurements made from the elastic-scatter channel or channels. The approach is evaluated through simulation and with data from the NASA Langley Research Center Airborne HSRL instrument. The generality and extensibility of the method is also explored and discussed in the context of aerosol modeling. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.ISSN
1931-3195Version
Final published versionSponsors
NASA GSRP fellowship, under NASA [NNX-07AM11H]; NASA [NASA1-99102]Additional Links
http://remotesensing.spiedigitallibrary.org/article.aspx?doi=10.1117/1.JRS.10.036019ae974a485f413a2113503eed53cd6c53
10.1117/1.JRS.10.036019
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Except where otherwise noted, this item's license is described as © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.