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

• Autorzy: Kolluru Srinivas , Gedam Shirishkumar S. , Inamdar Arun B.

Identyfikatory

DOI

10.1016/j.oceano.2021.05.001

• Języki publikacji: EN

Abstrakty

EN

Absorption coefficient partitioning algorithms (APAs) were developed to partition the total absorption coefficient (a(λ)) or total non-water absorption coefficient (a_nw(λ)) into the absorption subcomponents, i.e., absorption due to phytoplankton a_ph(λ), colored dissolved organic matter (CDOM) a_ƍ(λ) and non-algal particulate matter a_d(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, a_dƍ(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 a_nw(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 a_ph(λ), a_d(λ), a_ƍ(λ) and a_dƍ(λ) lie in the ranges of 26-44%, 37-45%, 34-65% and 42-56%. Slopes of a_dƍ(λ), a_ƍ(λ) and a_d(λ) as indicated by S_dƍ, S_ƍ and S_d are derivable from GSCM, Schofield and Lin's models only. GSCM model exhibited good retrieval capability of S_d with MAPE values of 22% and a correlation coefficient of 0.74. In retrieval of S_ƍ parameter, none of the models demonstrated satisfactory performance. Overall, the GSCM and Schofield's models demonstrated good performance in the retrieval of absorption subcomponents, a_ph(λ), a_dƍ(λ), a_d(λ) and S_d. Effect of applying baseline correction to a_d(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.

Słowa kluczowe

EN

absorption; phytoplankton; CDOM; colored dissolved organic matter; non-algal particulate matter; partitioning algorithms

• Wydawca: Polish Academy of Sciences, Institute of Oceanology ; Elsevier
• Czasopismo: Oceanologia
• Rocznik: 2021
• Tom: No. 63 (4)
• Strony: 420--437
• Opis fizyczny: Bibliogr. 53 poz., rys., tab., wykr.

Twórcy

autor

Kolluru Srinivas

• Centre of Studies in Resources Engineering, Indian Institute of Technology, Bombay, India

autor

Gedam Shirishkumar S.

• Centre of Studies in Resources Engineering, Indian Institute of Technology, Bombay, India

autor

Inamdar Arun B.

• Centre of Studies in Resources Engineering, Indian Institute of Technology, Bombay, India

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