Work

Impacts of scattering plane randomization on lidar multiple scattering polarization signals from water clouds

Year: 2024

Type: article

Abstract: Under a general approximation of multiple scattering paths involving small-angle scatterings interspersed with occasional large-angle scatterings, we performed Monte Carlo vector radiative transfer simulations to investigate the spatial and temporal distribution of the reduced Mueller matrix (RMM) of lidar returns from water clouds. Our findings indicate that the normalized RMM elements M ̃ 22 ′ and M ̃ 33 ′ are highly affected by two types of scattering plane randomizations: the overall rotation of scattering planes along multiple scattering paths, and the correlation of the rotation of scattering planes along sub-paths separated by large-angle scatterings. The simulation results reveal that the specific geometries of lidar multiple scattering paths, driven by strong forward-scattering in water clouds, result in the two scattering plane randomizations producing markedly different effects on the linear polarization. This insight not only elucidates the varying decline rates in linearly cross-polarized pattern contrast and linear polarization degree observed in current on-beam lidars but also establishes a basis for analyzing polarized signals in potential future off-beam lidar systems. • The Monte Carlo simulations were conducted to model the spatial and temporal distribution of lidar multiple scattering reduced Mueller matrix (RMM) for water clouds. • Two distinct scattering plane randomizations were identified as key factors influencing the normalized RMM elements related to lidar linearly polarized signals. • The unique geometries of on-beam lidar multiple scattering paths in water clouds lead to distinct decline rates in the degree and pattern contrast of linear polarization. • The RMM results also establish a basis for analyzing lidar polarized signals in potential future off-beam lidar systems.

Source: Journal of Quantitative Spectroscopy and Radiative Transfer

DOI: 10.1016/j.jqsrt.2024.109256

Author: Zhen Wang

Institutions: China Meteorological Administration, Nanjing University of Information Science and Technology

Language: English

Topic: Atmospheric aerosols and clouds

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $2,350

Funder: National Natural Science Foundation of China