Show simple item record

dc.contributor.authorMcPherson, Christopher J.
dc.contributor.authorReagan, John A.
dc.date.accessioned2017-02-15T23:31:15Z
dc.date.available2017-02-15T23:31:15Z
dc.date.issued2016-08-23
dc.identifier.citationExtension of the constrained ratio approach to aerosol retrievals from elastic-scatter and high spectral resolution lidars 2016, 10 (3):036019 Journal of Applied Remote Sensingen
dc.identifier.issn1931-3195
dc.identifier.doi10.1117/1.JRS.10.036019
dc.identifier.urihttp://hdl.handle.net/10150/622580
dc.description.abstractA 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.
dc.description.sponsorshipNASA GSRP fellowship, under NASA [NNX-07AM11H]; NASA [NASA1-99102]en
dc.language.isoenen
dc.publisherSPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERSen
dc.relation.urlhttp://remotesensing.spiedigitallibrary.org/article.aspx?doi=10.1117/1.JRS.10.036019en
dc.rights© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.en
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.subjectlidaren
dc.subjectaerosolsen
dc.subjectalgorithmsen
dc.titleExtension of the constrained ratio approach to aerosol retrievals from elastic-scatter and high spectral resolution lidarsen
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Dept Elect & Comp Engnen
dc.identifier.journalJournal of Applied Remote Sensingen
dc.description.collectioninformationThis 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.en
dc.eprint.versionFinal published versionen
dc.contributor.institutionArizona Optical Systems, LLC, 5575 South Houghton Road, Tucson, Arizona 85747, United States
dc.contributor.institutionUniversity of Arizona, Department of Electrical and Computer Engineering, 1230 East Speedway Boulevard, Tucson, Arizona 85721, United States
refterms.dateFOA2018-06-23T02:44:37Z
html.description.abstractA 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.


Files in this item

Thumbnail
Name:
JARS_10_3_036019.pdf
Size:
2.123Mb
Format:
PDF
Description:
FInal Published Version

This item appears in the following Collection(s)

Show simple item record

© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.
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.