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

Alexei Kolgotin; Detlef Müller; Eduard Chemyakin; Anton Romanov

doi:10.1051/epjconf/201817608001

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

Alexei Kolgotin
, Detlef Müller
, Eduard Chemyakin
, Anton Romanov

Research output: Contribution to journal › Article › peer-review

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Abstract

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.

Original language	English
Article number	08001
Journal	EPJ Web of Conferences
Volume	176
DOIs	https://doi.org/10.1051/epjconf/201817608001
Publication status	Published - 13 Apr 2018

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Kolgotin et al synergy of lidar published versionFinal published version, 695 KBLicence: CC BY

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

abstract = "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.",

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AU - Chemyakin, Eduard

AU - Romanov, Anton

N1 - © The Authors, published by EDP Sciences, 2018. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).

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N2 - 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.

AB - 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.

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JO - EPJ Web of Conferences

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

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