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Radiative Transfer Modeling With Biogeochemical‐Argo Float Data in the Mediterranean Sea
Author(s) -
Terzić Elena,
Miró Arnau,
Organelli Emanuele,
Kowalczuk Piotr,
D’Ortenzio Fabrizio,
Lazzari Paolo
Publication year - 2021
Publication title -
journal of geophysical research: oceans
Language(s) - English
Resource type - Journals
eISSN - 2169-9291
pISSN - 2169-9275
DOI - 10.1029/2021jc017690
Subject(s) - colored dissolved organic matter , environmental science , atmospheric radiative transfer codes , biogeochemical cycle , radiative transfer , absorption (acoustics) , irradiance , phytoplankton , wavelength , seawater , remote sensing , atmospheric sciences , chemistry , optics , physics , oceanography , geology , environmental chemistry , organic chemistry , nutrient
A radiative transfer model was parameterized and validated using Biogeochemical Argo float data acquired between 2012 and 2017 across the Mediterranean Sea. Fluorescence‐derived chlorophyll a concentration, particulate optical backscattering at 700 nm, and fluorescence of chromophoric dissolved organic matter (CDOM) were used to parametrize the light absorption and scattering coefficients of the optically significant water constituents (such as pure water, non‐algal particles, CDOM, and phytoplankton). The model was validated with in situ downwelling irradiance profiles and apparent optical properties derived both from irradiance profiles and satellite data, such as the diffuse attenuation coefficients and remote sensing reflectance. Results showed that by using regional parameterizations that are not only related to chlorophyll concentration and vertical distribution, the model was able to capture a more accurate spectral response in the examined wavelength range compared to chlorophyll‐related (or Case 1) optical models. When using alternative models that incorporated also measurements of CDOM fluorescence or particulate optical backscattering, the model skill increased at all examined wavelengths. Finally, using a multi‐spectral optical configuration also enabled the estimation of the relative contribution of separate water constituents in the examined spectral range. Simulations including non‐algal particles and CDOM performed up to 61% and 79% better than when considering the optical properties of pure seawater alone. Moreover, a simulation including phytoplankton light absorption resulted in an error reduction of up to 42%, especially at 412 nm and with a more uniform response at the wavelengths considered.

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