POSTER SESSION 3
15:30–17:30, Wednesday, September 16
Poster Session | 1 | 2 | 3 | 4 | Schedule at a Glance
ABSTRACT 1290 | POSTER 7
OCEAN COLOR RETRIEVALS FROM SPEXONE MEASUREMENTS USING FASTMAPOL/COMPONENT JOINT RETRIEVAL ALGORITHM
Ocean color remote sensing over coastal waters using radiance-only measurements remains challenging due to the complex optical properties of both aerosols and ocean waters in these regions. NASA’s PACE mission, launched in February 2024, includes both the SPEXone multi-angle polarimeter (MAP) and the OCI hyperspectral radiometer. SPEXone offers a spectral resolution of 2 nm for intensity and 10–30 nm for polarization. These polarization measurements enable detailed aerosol characterization, which improves the atmospheric correction of intensity measurements used for ocean color studies.
First, we will present the validation of spectral Remote Sensing Reflectance (Rrs) retrieved from the FastMAPOL/component (Fast Multi-Angular Polarimetric Ocean color) algorithm using SPEXone measurements. FastMAPOL/component is a research version of the FastMAPOL algorithm implemented for PACE and uses coastal waters bio-optical model along with component representation of aerosols. It includes atmospheric correction and BRDF correction modules to get Rrs. When compared against AERONET-OC measurements representing diverse water types, Rrs was retrieved with RMSE less than 0.0012 for all wavelengths studied, with robust performance in blue wavelengths where the ocean color retrievals from radiance only measurements often have problems.
Second, we present the IOPs retrieved from FastMAPOL/component over a Gulf of Maine coccolithophore bloom during the summer of 2025. The highly calcified shells in coccoliths have strong backscattering signal with sensitivity to TOA polarization making them detectable using joint retrieval approach. The retrieved IOPs show good agreement with the IOPs from Generalized IOP (GIOP) algorithm highlighting the potential of coccolithophores detection using MAP measurements.
Kamal Aryal, NASA Goddard Space Flight Center, Goddard Earth Sciences Technology and Research II, University of Maryland Baltimore County, [email protected], https://orcid.org/0000-0003-0871-8650
Meng Gao, NASA Goddard Space Flight Center, [email protected]
Pengwang Zhai, Goddard Earth Sciences Technology and Research II, University of Maryland Baltimore County, [email protected]
Bryan Franz, NASA Goddard Space Flight Center, [email protected]
Kirk Knobelspiesse, NASA Goddard Space Flight Center, [email protected]
Amir Ibrahim, NASA Goddard Space Flight Center, [email protected]
Jeremy Werdell, NASA Goddard Space Flight Center, [email protected]
Poster Session | 1 | 2 | 3 | 4 | Schedule at a Glance
