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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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00000860 2023-05-15T13:06:54+02:00 Inversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance properties Gao, Meng Zhai, Peng-Wang Franz, Bryan A. Hu, Yongxiang Knobelspiesse, Kirk Werdell, P. Jeremy Ibrahim, Amir Cairns, Brian Chase, Alison 2019-07 electronic https://doi.org/10.5194/amt-12-3921-2019 https://noa.gwlb.de/receive/cop_mods_00000860 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00000822/amt-12-3921-2019.pdf https://amt.copernicus.org/articles/12/3921/2019/amt-12-3921-2019.pdf eng eng Copernicus Publications Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548 https://doi.org/10.5194/amt-12-3921-2019 https://noa.gwlb.de/receive/cop_mods_00000860 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00000822/amt-12-3921-2019.pdf https://amt.copernicus.org/articles/12/3921/2019/amt-12-3921-2019.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2019 ftnonlinearchiv https://doi.org/10.5194/amt-12-3921-2019 2022-02-08T23:02:07Z 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 Niedersächsisches Online-Archiv NOA Atmospheric Measurement Techniques 12 7 3921 3941 |
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article Verlagsveröffentlichung Gao, Meng Zhai, Peng-Wang Franz, Bryan A. Hu, Yongxiang Knobelspiesse, Kirk Werdell, P. Jeremy Ibrahim, Amir Cairns, Brian Chase, Alison Inversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance properties |
topic_facet |
article Verlagsveröffentlichung |
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. |
format |
Article in Journal/Newspaper |
author |
Gao, Meng Zhai, Peng-Wang Franz, Bryan A. Hu, Yongxiang Knobelspiesse, Kirk Werdell, P. Jeremy Ibrahim, Amir Cairns, Brian Chase, Alison |
author_facet |
Gao, Meng Zhai, Peng-Wang Franz, Bryan A. Hu, Yongxiang Knobelspiesse, Kirk Werdell, P. Jeremy Ibrahim, Amir Cairns, Brian Chase, Alison |
author_sort |
Gao, Meng |
title |
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_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_sort |
inversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance properties |
publisher |
Copernicus Publications |
publishDate |
2019 |
url |
https://doi.org/10.5194/amt-12-3921-2019 https://noa.gwlb.de/receive/cop_mods_00000860 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00000822/amt-12-3921-2019.pdf https://amt.copernicus.org/articles/12/3921/2019/amt-12-3921-2019.pdf |
genre |
Aerosol Robotic Network North Atlantic |
genre_facet |
Aerosol Robotic Network North Atlantic |
op_relation |
Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548 https://doi.org/10.5194/amt-12-3921-2019 https://noa.gwlb.de/receive/cop_mods_00000860 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00000822/amt-12-3921-2019.pdf https://amt.copernicus.org/articles/12/3921/2019/amt-12-3921-2019.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/amt-12-3921-2019 |
container_title |
Atmospheric Measurement Techniques |
container_volume |
12 |
container_issue |
7 |
container_start_page |
3921 |
op_container_end_page |
3941 |
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1766025664976125952 |