Performance evaluation of non-water absorption coefficient partitioning algorithms in optically complex coastal waters of Kochi and Goa, India

•Comparison of absorption coefficient partitioning algorithms in optically complex waters.•Good performance of GSCM and Schofield's models in deriving absorption subcomponents.•Improvements in the retrieval of non-algal particulate matter and CDOM absorption coefficients are necessary.•Poor per...

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Vydáno v:Oceanologia Ročník 63; číslo 4; s. 420 - 437
Hlavní autoři: Kolluru, Srinivas, Gedam, Shirishkumar S., Inamdar, Arun B.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.10.2021
Institute of Oceanology of the Polish Academy of Sciences
Témata:
Absorption
CDOM
Non-algal particulate matter
Partitioning algorithms
Phytoplankton
CDOM
Phytoplankton
Absorption
Partitioning algorithms
Non-algal particulate matter
ISSN:0078-3234
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Shrnutí:•Comparison of absorption coefficient partitioning algorithms in optically complex waters.•Good performance of GSCM and Schofield's models in deriving absorption subcomponents.•Improvements in the retrieval of non-algal particulate matter and CDOM absorption coefficients are necessary.•Poor performance of all models in the retrieval of CDOM slope coefficient.•Effect of baseline correction of absorption data on model performance is studied. Absorption coefficient partitioning algorithms (APAs) were developed to partition the total absorption coefficient (a(λ)) or total non-water absorption coefficient (anw(λ)) into the absorption subcomponents, i.e., absorption due to phytoplankton aph(λ), colored dissolved organic matter (CDOM) ag(λ) and non-algal particulate matter ad(λ), λ is the wavelength. Absorption coefficients of CDOM and non-algal particulate matter are generally combined due to a similarity in exhibited spectral shape and represented as colored detrital matter (CDM) absorption coefficient, adg(λ). This study focuses on the applicability of five APAs Schofield's, Lin's, Zhang's, Stacked Constraints Model (SCM) and Generalized Stacked Constraints Model (GSCM), in deriving the absorption subcomponents from anw(λ) in optically complex coastal waters of Kochi and Goa, India. The average spectral Mean Absolute Percentage Errors (MAPE) obtained for all models in the retrieval of aph(λ), ad(λ), ag(λ) and adg(λ) lie in the ranges of 26–44%, 37–45%, 34–65% and 42–56%. Slopes of adg(λ),ag(λ) and ad(λ) as indicated by Sdg,Sg and Sd are derivable from GSCM, Schofield and Lin's models only. GSCM model exhibited good retrieval capability of Sd with MAPE values of 22% and a correlation coefficient of 0.74. In retrieval of Sg parameter, none of the models demonstrated satisfactory performance. Overall, the GSCM and Schofield's models demonstrated good performance in the retrieval of absorption subcomponents, aph(λ),adg(λ), ad(λ) and Sd. Effect of applying baseline correction to ad(λ) on model performance is studied. Tuning with in situ data can further improve the absorption subcomponent and slope parameter retrieval capability of the models.
ISSN:0078-3234
DOI:10.1016/j.oceano.2021.05.001