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Water clarity is a key indicator of marine ecosystem health, responding to eutrophication and influencing the distribution of phototrophic life on the seafloor. Traditional ship-based measurements of underwater light profiles and diffuse light attenuation coefficients ( K d ) remain fundamental for environmental monitoring, including in Danish waters. However, satellite-based estimates of water clarity are often challenged by optically complex (case 2) waters and limited spectral coverage. This study presents a novel empirical spectral modelling approach across the range of photosynthetically active radiation (PAR) from 400 to 700 nm that • integrates existing individual spectral models of inherent optical properties (IOPs), • applies Sentinel-3 satellite-derived IOPs at 443 nm in this model, • employs a multivariate outlier removal procedure to enhance accuracy, and • estimates K d PAR through an iterative procedure mimicking the way it usually is determined in situ with PAR sensors. Model-derived K d PAR estimates were validated against in situ measurements from Danish marine waters (2018–2023) and compared with two simpler non-spectral satellite-based approaches. Results showed strong agreement between modelled and in situ K d PAR ( n = 1458, R = 0.63), outperforming existing satellite-based methods. The new K d PAR product effectively captured spatial and temporal variability in complex case 2 waters, though discrepancies were noted in optically shallow areas, heterogeneous water columns, and seasonal phytoplankton shifts. These findings highlight the potential of operational satellite-derived IOP products as a robust proxy for water clarity, providing a valuable supplement to limited in situ data. The improved spatial and temporal coverage supports enhanced environmental monitoring, aligning with EU Water Framework and Marine Strategy Framework Directives. • Novel spectral model estimates spectrally resolved underwater light attenuation. • Sentinel-3 IOPs enable large-scale K d PAR monitoring with high spatial coverage. • Strong agreement with in situ K d PAR data ( n = 1458, R = 0.63). • Improved accuracy over simpler satellite-based K d estimates. • Supports EU directives with enhanced environmental status assessments.
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Holbach et al. (2025) studied this question.
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