Inversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance properties

Ocean color remote sensing is a challenging task over coastal waters due to the complex optical properties of aerosols and hydrosols. In order to conduct accurate atmospheric correction, we previously implemented a joint retrieval algorithm, hereafter referred to as the Multi-Angular Polarimetric Oc...

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Published in:Atmospheric Measurement Techniques
Main Authors: M. Gao, P.-W. Zhai, B. A. Franz, Y. Hu, K. Knobelspiesse, P. J. Werdell, A. Ibrahim, B. Cairns, A. Chase
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2019
Subjects:
Online Access:https://doi.org/10.5194/amt-12-3921-2019
https://doaj.org/article/4b96b30bc146452b9e3c73ecb1e23ce6
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author M. Gao
P.-W. Zhai
B. A. Franz
Y. Hu
K. Knobelspiesse
P. J. Werdell
A. Ibrahim
B. Cairns
A. Chase
author_facet M. Gao
P.-W. Zhai
B. A. Franz
Y. Hu
K. Knobelspiesse
P. J. Werdell
A. Ibrahim
B. Cairns
A. Chase
author_sort M. Gao
collection Directory of Open Access Journals: DOAJ Articles
container_issue 7
container_start_page 3921
container_title Atmospheric Measurement Techniques
container_volume 12
description Ocean color remote sensing is a challenging task over coastal waters due to the complex optical properties of aerosols and hydrosols. In order to conduct accurate atmospheric correction, we previously implemented a joint retrieval algorithm, hereafter referred to as the Multi-Angular Polarimetric Ocean coLor (MAPOL) algorithm, to obtain the aerosol and water-leaving signal simultaneously. The MAPOL algorithm has been validated with synthetic data generated by a vector radiative transfer model, and good retrieval performance has been demonstrated in terms of both aerosol and ocean water optical properties (Gao et al., 2018). In this work we applied the algorithm to airborne polarimetric measurements from the Research Scanning Polarimeter (RSP) over both open and coastal ocean waters acquired in two field campaigns: the Ship-Aircraft Bio-Optical Research (SABOR) in 2014 and the North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) in 2015 and 2016. Two different yet related bio-optical models are designed for ocean water properties. One model aligns with traditional open ocean water bio-optical models that parameterize the ocean optical properties in terms of the concentration of chlorophyll a . The other is a generalized bio-optical model for coastal waters that includes seven free parameters to describe the absorption and scattering by phytoplankton, colored dissolved organic matter, and nonalgal particles. The retrieval errors of both aerosol optical depth and the water-leaving radiance are evaluated. Through the comparisons with ocean color data products from both in situ measurements and the Moderate Resolution Imaging Spectroradiometer (MODIS), and the aerosol product from both the High Spectral Resolution Lidar (HSRL) and the Aerosol Robotic Network (AERONET), the MAPOL algorithm demonstrates both flexibility and accuracy in retrieving aerosol and water-leaving radiance properties under various aerosol and ocean water conditions.
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spelling ftdoajarticles:oai:doaj.org/article:4b96b30bc146452b9e3c73ecb1e23ce6 2025-01-16T18:38:59+00:00 Inversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance properties M. Gao P.-W. Zhai B. A. Franz Y. Hu K. Knobelspiesse P. J. Werdell A. Ibrahim B. Cairns A. Chase 2019-07-01T00:00:00Z https://doi.org/10.5194/amt-12-3921-2019 https://doaj.org/article/4b96b30bc146452b9e3c73ecb1e23ce6 EN eng Copernicus Publications https://www.atmos-meas-tech.net/12/3921/2019/amt-12-3921-2019.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-12-3921-2019 1867-1381 1867-8548 https://doaj.org/article/4b96b30bc146452b9e3c73ecb1e23ce6 Atmospheric Measurement Techniques, Vol 12, Pp 3921-3941 (2019) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2019 ftdoajarticles https://doi.org/10.5194/amt-12-3921-2019 2022-12-31T11:45:54Z Ocean color remote sensing is a challenging task over coastal waters due to the complex optical properties of aerosols and hydrosols. In order to conduct accurate atmospheric correction, we previously implemented a joint retrieval algorithm, hereafter referred to as the Multi-Angular Polarimetric Ocean coLor (MAPOL) algorithm, to obtain the aerosol and water-leaving signal simultaneously. The MAPOL algorithm has been validated with synthetic data generated by a vector radiative transfer model, and good retrieval performance has been demonstrated in terms of both aerosol and ocean water optical properties (Gao et al., 2018). In this work we applied the algorithm to airborne polarimetric measurements from the Research Scanning Polarimeter (RSP) over both open and coastal ocean waters acquired in two field campaigns: the Ship-Aircraft Bio-Optical Research (SABOR) in 2014 and the North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) in 2015 and 2016. Two different yet related bio-optical models are designed for ocean water properties. One model aligns with traditional open ocean water bio-optical models that parameterize the ocean optical properties in terms of the concentration of chlorophyll a . The other is a generalized bio-optical model for coastal waters that includes seven free parameters to describe the absorption and scattering by phytoplankton, colored dissolved organic matter, and nonalgal particles. The retrieval errors of both aerosol optical depth and the water-leaving radiance are evaluated. Through the comparisons with ocean color data products from both in situ measurements and the Moderate Resolution Imaging Spectroradiometer (MODIS), and the aerosol product from both the High Spectral Resolution Lidar (HSRL) and the Aerosol Robotic Network (AERONET), the MAPOL algorithm demonstrates both flexibility and accuracy in retrieving aerosol and water-leaving radiance properties under various aerosol and ocean water conditions. Article in Journal/Newspaper Aerosol Robotic Network North Atlantic Directory of Open Access Journals: DOAJ Articles Atmospheric Measurement Techniques 12 7 3921 3941
spellingShingle Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
M. Gao
P.-W. Zhai
B. A. Franz
Y. Hu
K. Knobelspiesse
P. J. Werdell
A. Ibrahim
B. Cairns
A. Chase
Inversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance properties
title Inversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance properties
title_full Inversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance properties
title_fullStr Inversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance properties
title_full_unstemmed Inversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance properties
title_short Inversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance properties
title_sort inversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance properties
topic Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
topic_facet Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
url https://doi.org/10.5194/amt-12-3921-2019
https://doaj.org/article/4b96b30bc146452b9e3c73ecb1e23ce6