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An Evaluation of Models for the Satellite-Estimation of Phytoplankton Absorption Coefficients in Coastal/ Oceanic Waters

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TLDR
Though the TS model is mathematically simple, it overcomes such limitations and yields excellent results in terms of reproducing measured aph spectra that are highly desired by the ocean color community for inputting in various bio-optical models and studying the spatial structure of the different phytoplankton communities from satellite remote sensing observations in global waters.
Abstract
Several semi-analytical models for the satellite-based estimation of absorption coefficients of phytoplankton aph (λ) have been used to routinely produce aph (λ) product from satellite ocean color data However, these models are generally applicable for clear ocean waters where they produce aph (λ) values only at a few wavelengths in the blue-green domain; this causes the main difficulty in making these models more usable with any suite of wavelengths Further, recent studies have shown the performance of these models to be highly questionable in optically complex waters This emphasized the need for developing a more accurate model for the satellite-based estimation of aph (λ) in a wide range of oceanic waters In our previous study, we developed an empirical model (hereafter referred as Tiwari-Shanmugam model - “TS model”) based on the relationship of the in situ remote sensing reflectance ratio Rrs (670)/Rrs (490) and in situ aph(λ) which is best fit to a third order polynomial In the present study, we rigorously test this model along with three global inversion models (eg, Constrained Linear Matrix (LM) model, Quasi-analytical algorithm (QAA), and GSM semi-analytical model which are often used by the ocean color community) using three independent in situ data sets from clear to turbid coastal waters and satellite match-ups data from global waters When applied to these data sets, the TS model produces more accurate aph values across the entire visible wavelengths (400-700 nm) in all these waters, whereas LM, QAA and GSM models yield significant errors in addition to being restricted to produce aph values only in the blue-green wavelengths (LM and GSM) Though the TS model is mathematically simple, it overcomes such limitations and yields excellent results in terms of reproducing measured aph spectra that are highly desired by the ocean color community for inputting in various bio-optical models and studying the spatial structure of the different phytoplankton communities from satellite remote sensing observations in global waters

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Citations
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Journal ArticleDOI

Remote Sensing Observations on Impact of Phailin Cyclone on Phytoplankton Distribution in Northern Bay of Bengal

TL;DR: Remote sensing-based analysis has been carried out to assess the impact of Phailin cyclone on ocean productivity on the local and basin scale and its deviation from seasonal trend as well.
Journal ArticleDOI

Evaluation of the Quasi-Analytical Algorithm (QAA) for Estimating Total Absorption Coefficient of Turbid Inland Waters in Northeast China

TL;DR: QAA is not an optimal algorithm for turbid case 2 waters and large amounts of in situ data sets in different seasons are needed to calibrate the algorithm to achieve better performances.
Journal ArticleDOI

Modelling the inherent optical properties and estimating the constituents׳ concentrations in turbid and eutrophic waters

TL;DR: In this paper, the spectral absorption coefficients of phytoplankton, suspended sediments and coloured dissolved organic matter were retrieved from satellite ocean colour data in turbid and eutrophic waters.
Journal ArticleDOI

New model for subsurface irradiance reflectance in clear and turbid waters

TL;DR: The improved performance of the present model is because it includes a parameterization of the proportionality factor f which varies with wavelength and depends on the sun angle, inherent optical properties, and diffuse attenuation coefficients.
Journal ArticleDOI

Phytoplankton size class in the East China Sea derived from MODIS satellite data

TL;DR: In this paper, the spectral features of normalized phytoplankton absorption (aph) using a principal component analysis approach were used to estimate the PSC distribution in the East China Sea (ECS).
References
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Journal ArticleDOI

Analysis of variations in ocean color1

TL;DR: The R(λ) values observed for blue waters are in full agreement with computed values in which new and realistic values of the absorption coefficient for pure water are used and presented.
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Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters

TL;DR: For open ocean and coastal waters, a multiband quasi-analytical algorithm is developed to retrieve absorption and backscattering coefficients, as well as absorption coefficients of phytoplankton pigments and gelbstoff, based on remote-sensing reflectance models derived from the radiative transfer equation.
Journal ArticleDOI

Bio-optical properties of oceanic waters: A reappraisal

TL;DR: In this article, the spectral attenuation for downward irradiance Kd(X) and irradiance reflectance R(X), as well as a bio-optical model of the upper layer was developed.
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Optimization of a semianalytical ocean color model for global-scale applications

TL;DR: A procedure for optimizing SA ocean color models for global applications by tuned by simulated annealing as the global optimization protocol and results are comparable with the current Sea-viewing Wide Field-of-view sensor (SeaWiFS) algorithm for Chl.
Journal ArticleDOI

Variations in the light absorption coefficients of phytoplankton, nonalgal particles, and dissolved organic matter in coastal waters around Europe

TL;DR: In this paper, the authors measured the absorption properties of phytoplankton, nonalgal particles (NAP), and colored dissolved organic matter (CDOM) at about 350 stations in various coastal waters around Europe including the English Channel, Adriatic Sea, Baltic Sea, Mediterranean Sea, and North Sea.
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