Extension of the constrained ratio approach to aerosol retrievals from elastic-scatter and high spectral resolution lidars
dc.contributor.author | McPherson, Christopher J. | |
dc.contributor.author | Reagan, John A. | |
dc.date.accessioned | 2017-02-15T23:31:15Z | |
dc.date.available | 2017-02-15T23:31:15Z | |
dc.date.issued | 2016-08-23 | |
dc.identifier.citation | 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 Sensing | en |
dc.identifier.issn | 1931-3195 | |
dc.identifier.doi | 10.1117/1.JRS.10.036019 | |
dc.identifier.uri | http://hdl.handle.net/10150/622580 | |
dc.description.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. | |
dc.description.sponsorship | NASA GSRP fellowship, under NASA [NNX-07AM11H]; NASA [NASA1-99102] | en |
dc.language.iso | en | en |
dc.publisher | SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS | en |
dc.relation.url | http://remotesensing.spiedigitallibrary.org/article.aspx?doi=10.1117/1.JRS.10.036019 | en |
dc.rights | © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. | en |
dc.rights.uri | https://creativecommons.org/licenses/by/3.0/ | |
dc.subject | lidar | en |
dc.subject | aerosols | en |
dc.subject | algorithms | en |
dc.title | Extension of the constrained ratio approach to aerosol retrievals from elastic-scatter and high spectral resolution lidars | en |
dc.type | Article | en |
dc.contributor.department | Univ Arizona, Dept Elect & Comp Engn | en |
dc.identifier.journal | Journal of Applied Remote Sensing | en |
dc.description.collectioninformation | 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. | en |
dc.eprint.version | Final published version | en |
dc.contributor.institution | Arizona Optical Systems, LLC, 5575 South Houghton Road, Tucson, Arizona 85747, United States | |
dc.contributor.institution | University of Arizona, Department of Electrical and Computer Engineering, 1230 East Speedway Boulevard, Tucson, Arizona 85721, United States | |
refterms.dateFOA | 2018-06-23T02:44:37Z | |
html.description.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. |