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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2018-01-01
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Series: | EPJ Web of Conferences |
Online Access: | https://doi.org/10.1051/epjconf/201817608001 |
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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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