Direct Estimation of Fine and Coarse Mode Particle Parameters from Multiwavelength Lidar Measurements

An approach for the direct estimation (DE) of particle parameters in the fine and coarse mode from multiwavelength lidar measurements is presented. Particle size distributions in both modes are approximated by rectangular functions, so the particle density is estimated directly without solving the i...

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Main Authors: Kolgotin Alexei, Korenskiy Mikhail, Veselovskii Igor, Whiteman David N.
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:EPJ Web of Conferences
Online Access:http://dx.doi.org/10.1051/epjconf/201611908009
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spelling doaj-c778972fb1ab466588b4dcf800c30c6d2021-08-02T04:20:32ZengEDP SciencesEPJ Web of Conferences2100-014X2016-01-011190800910.1051/epjconf/201611908009epjconf_ilrc2016_08009Direct Estimation of Fine and Coarse Mode Particle Parameters from Multiwavelength Lidar MeasurementsKolgotin Alexei0Korenskiy Mikhail1Veselovskii Igor2Whiteman David N.3Physics Instrumentation CenterPhysics Instrumentation CenterPhysics Instrumentation CenterNASA Goddard Space Flight CenterAn approach for the direct estimation (DE) of particle parameters in the fine and coarse mode from multiwavelength lidar measurements is presented. Particle size distributions in both modes are approximated by rectangular functions, so the particle density is estimated directly without solving the inverse problem. The numerical simulation demonstrates that the particle volume in both modes can be estimated from 3β+2α lidar measurements with uncertainty of ~25% for a wide range of size distributions. The technique developed was applied to the observations of NASA GSFC Raman lidar. Comparison of the results obtained with DE and regularization approach applied to the same set of data demonstrates agreement between these two techniques.http://dx.doi.org/10.1051/epjconf/201611908009
collection DOAJ
language English
format Article
sources DOAJ
author Kolgotin Alexei
Korenskiy Mikhail
Veselovskii Igor
Whiteman David N.
spellingShingle Kolgotin Alexei
Korenskiy Mikhail
Veselovskii Igor
Whiteman David N.
Direct Estimation of Fine and Coarse Mode Particle Parameters from Multiwavelength Lidar Measurements
EPJ Web of Conferences
author_facet Kolgotin Alexei
Korenskiy Mikhail
Veselovskii Igor
Whiteman David N.
author_sort Kolgotin Alexei
title Direct Estimation of Fine and Coarse Mode Particle Parameters from Multiwavelength Lidar Measurements
title_short Direct Estimation of Fine and Coarse Mode Particle Parameters from Multiwavelength Lidar Measurements
title_full Direct Estimation of Fine and Coarse Mode Particle Parameters from Multiwavelength Lidar Measurements
title_fullStr Direct Estimation of Fine and Coarse Mode Particle Parameters from Multiwavelength Lidar Measurements
title_full_unstemmed Direct Estimation of Fine and Coarse Mode Particle Parameters from Multiwavelength Lidar Measurements
title_sort direct estimation of fine and coarse mode particle parameters from multiwavelength lidar measurements
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2016-01-01
description An approach for the direct estimation (DE) of particle parameters in the fine and coarse mode from multiwavelength lidar measurements is presented. Particle size distributions in both modes are approximated by rectangular functions, so the particle density is estimated directly without solving the inverse problem. The numerical simulation demonstrates that the particle volume in both modes can be estimated from 3β+2α lidar measurements with uncertainty of ~25% for a wide range of size distributions. The technique developed was applied to the observations of NASA GSFC Raman lidar. Comparison of the results obtained with DE and regularization approach applied to the same set of data demonstrates agreement between these two techniques.
url http://dx.doi.org/10.1051/epjconf/201611908009
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