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Inversion of Multiangular Polarimetric Measurements Over Open and Coastal Ocean Waters: A Joint Retrieval Algorithm for Aerosol and Water-Leaving Radiance PropertiesOcean 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.
Document ID
20190029134
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Gao, Meng
(Science Systems and Applications, Inc. (SSAI) Lanham, MD, United States)
Zhai, Peng-Wang
(Maryland Univ. Baltimore County (UMBC) Baltimore, MD, United States)
Franz, Bryan A.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Hu, Yongxiang
(NASA Langley Research Center Hampton, VA, United States)
Knobelspiesse, Kirk
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Werdell, P. Jeremy
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Ibrahim, Amir
(Science Systems and Applications, Inc. (SSAI) Lanham, MD, United States)
Cairns, Brian
(NASA Goddard Inst. for Space Studies New York, NY, United States)
Chase, Alison
(Maine Univ. Orono, ME, United States)
Date Acquired
August 16, 2019
Publication Date
July 17, 2019
Publication Information
Publication: Atmospheric Measurement Techniques
Publisher: European Geosciences Union
Volume: 7
Issue: 12
ISSN: 1867-1381
e-ISSN: 1867-8548
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN71218
E-ISSN: 1867-8548
Report Number: GSFC-E-DAA-TN71218
ISSN: 1867-1381
Funding Number(s)
CONTRACT_GRANT: NNG15HQ01C
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
NASA Peer Committee
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