Standard

Monte Carlo Simulation of Wide-Angle Lidar Signals. / Prigarin, S. M.; Mironova, D. E.

In: Numerical Analysis and Applications, Vol. 17, No. 2, 06.2024, p. 188-195.

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

Harvard

Prigarin, SM & Mironova, DE 2024, 'Monte Carlo Simulation of Wide-Angle Lidar Signals', Numerical Analysis and Applications, vol. 17, no. 2, pp. 188-195. https://doi.org/10.1134/S1995423924020083

APA

Prigarin, S. M., & Mironova, D. E. (2024). Monte Carlo Simulation of Wide-Angle Lidar Signals. Numerical Analysis and Applications, 17(2), 188-195. https://doi.org/10.1134/S1995423924020083

Vancouver

Prigarin SM, Mironova DE. Monte Carlo Simulation of Wide-Angle Lidar Signals. Numerical Analysis and Applications. 2024 Jun;17(2):188-195. doi: 10.1134/S1995423924020083

Author

Prigarin, S. M. ; Mironova, D. E. / Monte Carlo Simulation of Wide-Angle Lidar Signals. In: Numerical Analysis and Applications. 2024 ; Vol. 17, No. 2. pp. 188-195.

BibTeX

@article{6fd6a607f4314526ac10b729c8240406,
title = "Monte Carlo Simulation of Wide-Angle Lidar Signals",
abstract = "Abstract: The paper deals with Monte Carlo modeling of spatiotemporal signals of wide-angle lidars for probing atmospheric clouds. Using computational experiments, we study the features of lidar signals for monostatic and bistatic sensing schemes which make it possible to analyze the optical and microphysical properties of the cloud environment. When probing thin cloud layers, the lidar signal looks like an expanding and attenuating light ring. It is shown that for a bistatic scheme a second ring, which appears for a short time inside the main one, is characteristic of the lidar signal.",
keywords = "Monte Carlo methods, atmospheric clouds, laser sensing, monostatic and bistatic lidars, multiple scattering of radiation",
author = "Prigarin, {S. M.} and Mironova, {D. E.}",
note = "This work was supported by the Russian Science Foundation (project no. 23-27-00345).",
year = "2024",
month = jun,
doi = "10.1134/S1995423924020083",
language = "English",
volume = "17",
pages = "188--195",
journal = "Numerical Analysis and Applications",
issn = "1995-4239",
publisher = "Maik Nauka-Interperiodica Publishing",
number = "2",

}

RIS

TY - JOUR

T1 - Monte Carlo Simulation of Wide-Angle Lidar Signals

AU - Prigarin, S. M.

AU - Mironova, D. E.

N1 - This work was supported by the Russian Science Foundation (project no. 23-27-00345).

PY - 2024/6

Y1 - 2024/6

N2 - Abstract: The paper deals with Monte Carlo modeling of spatiotemporal signals of wide-angle lidars for probing atmospheric clouds. Using computational experiments, we study the features of lidar signals for monostatic and bistatic sensing schemes which make it possible to analyze the optical and microphysical properties of the cloud environment. When probing thin cloud layers, the lidar signal looks like an expanding and attenuating light ring. It is shown that for a bistatic scheme a second ring, which appears for a short time inside the main one, is characteristic of the lidar signal.

AB - Abstract: The paper deals with Monte Carlo modeling of spatiotemporal signals of wide-angle lidars for probing atmospheric clouds. Using computational experiments, we study the features of lidar signals for monostatic and bistatic sensing schemes which make it possible to analyze the optical and microphysical properties of the cloud environment. When probing thin cloud layers, the lidar signal looks like an expanding and attenuating light ring. It is shown that for a bistatic scheme a second ring, which appears for a short time inside the main one, is characteristic of the lidar signal.

KW - Monte Carlo methods

KW - atmospheric clouds

KW - laser sensing

KW - monostatic and bistatic lidars

KW - multiple scattering of radiation

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85195111048&origin=inward&txGid=04ecd9624bf7fa1db094d35ca3937625

UR - https://www.mendeley.com/catalogue/c69d9bc0-c94f-37db-ae96-fa71b4591fdb/

U2 - 10.1134/S1995423924020083

DO - 10.1134/S1995423924020083

M3 - Article

VL - 17

SP - 188

EP - 195

JO - Numerical Analysis and Applications

JF - Numerical Analysis and Applications

SN - 1995-4239

IS - 2

ER -

ID: 61117698