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Updated: Mar 18, 2026

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Published on: September 26, 2019
Implementation of an analytical Raman scattering correction for satellite ocean-color processing
This study introduces a Raman scattering correction (RSC) algorithm for ocean color data. Applying the RSC improves the accuracy of inherent optical properties (IOPs) derived from satellite observations.
Area of Science:
- Ocean optics
- Remote sensing
- Inelastic light scattering
Background:
- Raman scattering by seawater molecules is an inelastic process impacting ocean color data.
- Uncorrected Raman scattering can introduce biases in derived inherent optical properties (IOPs).
Purpose of the Study:
- To describe and validate a Raman scattering correction (RSC) algorithm for NASA's ocean color processing.
- To assess the impact of the RSC on derived IOPs and retrieval accuracy.
Main Methods:
- Integration of the RSC algorithm into NASA's standard ocean-color processing software.
- Testing the RSC in conjunction with the Generalized Inherent Optical Properties algorithm (GIOP).
- Comparison of derived IOPs with in situ data and analysis of time-series data.
Main Results:
- The RSC reduced derived backscattering and phytoplankton absorption coefficients.
- Absorption coefficient of colored dissolved and detrital matter remained unchanged.
- The RSC did not degrade the retrieval skill of the GIOP algorithm.
Conclusions:
- The developed RSC algorithm accurately corrects for Raman scattering in ocean color data.
- The RSC improves the reliability of derived IOPs without compromising retrieval accuracy.
- This correction is crucial for precise oceanographic studies using satellite data.
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