Synergy of lidar and passive remote sensor data for retrieving profiles of microphysical properties of non-spherical particles

In this study we explore how the combination of 3 backscatter and 2 extinction lidar data with data that can be collected with ground-based and space-borne passive remote sensors, e.g. phase function coefficients which can be derived at various measurement wavelengths and scattering angles can resul...

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Main Authors: Kolgotin Alexei, Müller Detlef, Chemyakin Eduard, Romanov Anton
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:EPJ Web of Conferences
Online Access:https://doi.org/10.1051/epjconf/201817608001
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spelling doaj-6c9ffed955924d72a32e8889d2b493a82021-08-02T18:30:19ZengEDP SciencesEPJ Web of Conferences2100-014X2018-01-011760800110.1051/epjconf/201817608001epjconf_ilrc28_08001Synergy of lidar and passive remote sensor data for retrieving profiles of microphysical properties of non-spherical particlesKolgotin AlexeiMüller DetlefChemyakin EduardRomanov AntonIn this study we explore how the combination of 3 backscatter and 2 extinction lidar data with data that can be collected with ground-based and space-borne passive remote sensors, e.g. phase function coefficients which can be derived at various measurement wavelengths and scattering angles can result in improved profiles of particle microphysical properties. The algorithm is based on a light-scattering model that uses a mixture of spheres and randomly oriented spheroids.https://doi.org/10.1051/epjconf/201817608001
collection DOAJ
language English
format Article
sources DOAJ
author Kolgotin Alexei
Müller Detlef
Chemyakin Eduard
Romanov Anton
spellingShingle Kolgotin Alexei
Müller Detlef
Chemyakin Eduard
Romanov Anton
Synergy of lidar and passive remote sensor data for retrieving profiles of microphysical properties of non-spherical particles
EPJ Web of Conferences
author_facet Kolgotin Alexei
Müller Detlef
Chemyakin Eduard
Romanov Anton
author_sort Kolgotin Alexei
title Synergy of lidar and passive remote sensor data for retrieving profiles of microphysical properties of non-spherical particles
title_short Synergy of lidar and passive remote sensor data for retrieving profiles of microphysical properties of non-spherical particles
title_full Synergy of lidar and passive remote sensor data for retrieving profiles of microphysical properties of non-spherical particles
title_fullStr Synergy of lidar and passive remote sensor data for retrieving profiles of microphysical properties of non-spherical particles
title_full_unstemmed Synergy of lidar and passive remote sensor data for retrieving profiles of microphysical properties of non-spherical particles
title_sort synergy of lidar and passive remote sensor data for retrieving profiles of microphysical properties of non-spherical particles
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2018-01-01
description In this study we explore how the combination of 3 backscatter and 2 extinction lidar data with data that can be collected with ground-based and space-borne passive remote sensors, e.g. phase function coefficients which can be derived at various measurement wavelengths and scattering angles can result in improved profiles of particle microphysical properties. The algorithm is based on a light-scattering model that uses a mixture of spheres and randomly oriented spheroids.
url https://doi.org/10.1051/epjconf/201817608001
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