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. 2025 Dec 9;198(1):26.
doi: 10.1007/s10661-025-14826-5.

Assessment and refinement of CDOM retrieval methods for coastal waters in the South Eastern Arabian Sea

Souda V P  1   2 , Minu P  3   4 , Aneesh Lotliker  5 , Muhamed Ashraf P  1
Affiliations

Assessment and refinement of CDOM retrieval methods for coastal waters in the South Eastern Arabian Sea

Souda V P et al. Environ Monit Assess. .

Abstract

CDOM, an important ocean colour product, accounts for 90% of non-water UV absorption in the upper ocean. CDOM absorption triggers photochemical reactions resulting in the release of greenhouse gases and alters microbial bioavailability of organic matter. The three different approaches for retrieving adg(λ) from satellite data were validated using aCDOM(λ) generated from OC-CCI-derived remote sensing reflectance (Rrs) and in situ measured aCDOM(λ). The multiple linear regression (MLR) model performed better than the two exponential decay models in quantifying CDOM in the UV region. The better performance of Rrs-based algorithms indicated that absorption-based algorithms need considerable improvement when compared to algorithms based on the combined absorption by detrital matter and CDOM (adg(λ)). As a result, the absorption-based algorithm was modified as the ASCDOM algorithm, which demonstrated improved retrieval at 275, 355, 38 and 412 nm for aCDOM(λ). The ASCDOM algorithm's strong statistical performance highlights its accuracy in retrieving satellite products for water quality evaluations and ocean colour monitoring.

Keywords: Absorption; Algorithm; Arabian Sea; CDOM; OC-CCI; Spectral slope.

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Conflict of interest statement

Declarations. Competing interests: The authors declare no competing interests.

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