Study of the effects of phytoplankton morphology and vertical profile on lidar attenuated backscatter and depolarization ratio

Stegmann, Patrick G.; Sun, Bingqiang; Ding, Jiachen; Yang, Ping; Zhang, Xiaodong

doi:10.1016/j.jqsrt.2018.12.009

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Study of the effects of phytoplankton morphology and vertical profile on lidar attenuated backscatter and depolarization ratio

2019
By Stegmann, Patrick G. ; Sun, Bingqiang ; Ding, Jiachen ; ...
Source: Journal of Quantitative Spectroscopy & Radiative Transfer 225 (2019) 1–15

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Journal Title:

Journal of Quantitative Spectroscopy & Radiative Transfer
Personal Author:

Stegmann, Patrick G. ; Sun, Bingqiang ; Ding, Jiachen ; Yang, Ping ; Zhang, Xiaodong

Stegmann, Patrick G. ; Sun, Bingqiang ; Ding, Jiachen ; Yang, Ping ; Zhang, Xiaodong Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research)

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) Less -
Description:

Propagation of a lidar beam in a coupled atmosphere-ocean model consisting of multiple atmospheric and upper oceanic layers and a rough ocean surface is studied by using a vectorized Monte Carlo radiative transfer solver optimized specifically for lidar-based remote sensing applications. The effects of assumed phytoplankton morphology variations and its vertical distribution on the lidar attenuated backscatter and depolarization ratio are studied. In this study, a phytoplankton particle is assumed to be a sphere, a sphere with a core, or a randomly distorted hexahedron with or without a core. The single-scattering properties of the nonspherical/inhomogeneous particles are computed using appropriate state-of-the-art light-scattering computational capabilities. Vertical variation of the phytoplankton distribution is derived explicitly using a PAR (photosynthetically active radiation) limited carbon biomass balance equation that is subsequently coupled with the Monte Carlo solver.
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Optical Radar Phytoplankton Radiative Transfer Remote Sensing Monte Carlo Net Primary Production Ocean Optics
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Journal of Quantitative Spectroscopy & Radiative Transfer 225 (2019) 1–15
DOI:

https://doi.org/10.1016/j.jqsrt.2018.12.009
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Journal Article
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urn:sha256:41e5c3e66de60a7d06289b9a62431957435d54aca4f499916cfd7ae0c5a13f6e
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Study of the effects of phytoplankton morphology and vertical profile on lidar attenuated backscatter and depolarization ratio

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