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Monte Carlo simulation of polarized lidar returns for atmospheric clouds sensing. / Prigarin, Sergei M.; Kablukova, Evgenia G.; Zhang, Xue.

в: Russian Journal of Numerical Analysis and Mathematical Modelling, Том 39, № 3, 01.06.2024, стр. 131-141.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Prigarin, SM, Kablukova, EG & Zhang, X 2024, 'Monte Carlo simulation of polarized lidar returns for atmospheric clouds sensing', Russian Journal of Numerical Analysis and Mathematical Modelling, Том. 39, № 3, стр. 131-141. https://doi.org/10.1515/rnam-2024-0013

APA

Prigarin, S. M., Kablukova, E. G., & Zhang, X. (2024). Monte Carlo simulation of polarized lidar returns for atmospheric clouds sensing. Russian Journal of Numerical Analysis and Mathematical Modelling, 39(3), 131-141. https://doi.org/10.1515/rnam-2024-0013

Vancouver

Prigarin SM, Kablukova EG, Zhang X. Monte Carlo simulation of polarized lidar returns for atmospheric clouds sensing. Russian Journal of Numerical Analysis and Mathematical Modelling. 2024 июнь 1;39(3):131-141. doi: 10.1515/rnam-2024-0013

Author

Prigarin, Sergei M. ; Kablukova, Evgenia G. ; Zhang, Xue. / Monte Carlo simulation of polarized lidar returns for atmospheric clouds sensing. в: Russian Journal of Numerical Analysis and Mathematical Modelling. 2024 ; Том 39, № 3. стр. 131-141.

BibTeX

@article{80fbdcf230b24da285bf1e121625e9f5,
title = "Monte Carlo simulation of polarized lidar returns for atmospheric clouds sensing",
abstract = "The paper deals with Monte Carlo simulation of polarized radiative transfer and lidar returns in sensing of atmospheric clouds. The Stokes parameters were used to describe the transfer of polarized radiation, and computation of the lidar returns was based on flux-at-point estimators. We consider modifications of the numerical algorithm with scattering according to the phase function for unpolarized light and with scattering depending on polarization. Numerical experiments were performed for lidar sensing of waterdrop clouds.",
keywords = "Monte Carlo methods, atmospheric clouds, flux-at-a-point estimator, laser remote sensing, lidar, multiple scattering of polarized radiation",
author = "Prigarin, {Sergei M.} and Kablukova, {Evgenia G.} and Xue Zhang",
note = "The research was supported by the Russian Science Foundation (project No. 23-27-00345).",
year = "2024",
month = jun,
day = "1",
doi = "10.1515/rnam-2024-0013",
language = "English",
volume = "39",
pages = "131--141",
journal = "Russian Journal of Numerical Analysis and Mathematical Modelling",
issn = "0927-6467",
publisher = "Walter de Gruyter GmbH",
number = "3",

}

RIS

TY - JOUR

T1 - Monte Carlo simulation of polarized lidar returns for atmospheric clouds sensing

AU - Prigarin, Sergei M.

AU - Kablukova, Evgenia G.

AU - Zhang, Xue

N1 - The research was supported by the Russian Science Foundation (project No. 23-27-00345).

PY - 2024/6/1

Y1 - 2024/6/1

N2 - The paper deals with Monte Carlo simulation of polarized radiative transfer and lidar returns in sensing of atmospheric clouds. The Stokes parameters were used to describe the transfer of polarized radiation, and computation of the lidar returns was based on flux-at-point estimators. We consider modifications of the numerical algorithm with scattering according to the phase function for unpolarized light and with scattering depending on polarization. Numerical experiments were performed for lidar sensing of waterdrop clouds.

AB - The paper deals with Monte Carlo simulation of polarized radiative transfer and lidar returns in sensing of atmospheric clouds. The Stokes parameters were used to describe the transfer of polarized radiation, and computation of the lidar returns was based on flux-at-point estimators. We consider modifications of the numerical algorithm with scattering according to the phase function for unpolarized light and with scattering depending on polarization. Numerical experiments were performed for lidar sensing of waterdrop clouds.

KW - Monte Carlo methods

KW - atmospheric clouds

KW - flux-at-a-point estimator

KW - laser remote sensing

KW - lidar

KW - multiple scattering of polarized radiation

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85195601843&origin=inward&txGid=d005b84385d5520b6baebbd2efaa556e

UR - https://www.elibrary.ru/item.asp?id=68090294

UR - https://www.mendeley.com/catalogue/66ec7434-9bb1-3c9e-a5ae-fe120c36506d/

U2 - 10.1515/rnam-2024-0013

DO - 10.1515/rnam-2024-0013

M3 - Article

VL - 39

SP - 131

EP - 141

JO - Russian Journal of Numerical Analysis and Mathematical Modelling

JF - Russian Journal of Numerical Analysis and Mathematical Modelling

SN - 0927-6467

IS - 3

ER -

ID: 60532857