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Updated: Jan 21, 2026

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
Published on: June 13, 2020
CHLOROPHYLL ALGORITHMS FOR OCEAN COLOR SENSORS - OC4, OC5 & OC6
John E O'Reilly1, P Jeremy Werdell2
1Retired, NOAA National Marine Fisheries Service, Narragansett, Rhode Island 02882, USA.
New ocean color algorithms enhance chlorophyll estimation by incorporating the 412 nm band, improving data consistency across missions. This advancement aids in merging satellite data for a more comprehensive view of global ocean chlorophyll levels.
Area of Science:
- Oceanography
- Remote Sensing
- Biogeochemistry
Background:
- Consistent chlorophyll algorithms are crucial for merging data from overlapping ocean color missions, extending time series, and incorporating new satellite data (e.g., PACE, OLCI).
- The violet band (412 nm) has been underutilized in empirical algorithms despite its potential for estimating chlorophyll, especially in oligotrophic waters where it represents the brightest spectral band.
Purpose of the Study:
- To develop highly consistent and comparable empirical ocean color (OC) algorithms for merging satellite data and extending time series.
- To explore the utility of the 412 nm band in estimating chlorophyll concentrations and to develop new algorithms (OC5, OC6) incorporating this band.
- To establish a bio-optically based index for defining and quantifying trophic status (oligotrophic, mesotrophic, eutrophic) in the global ocean.
Main Methods:
- Developed 65 empirical OC maximum band ratio (MBR) algorithms for 25 satellite instruments using a large, globally representative database of coincident in situ chlorophyll a and remote sensing reflectances.
- Validated algorithm performance using SeaWiFS and MODIS-Aqua satellite-to-in situ match-ups.
- Introduced OC5 and OC6 algorithm families incorporating the 412 nm band to maximize dynamic range in oligotrophic areas.
- Developed a reproducible trophic status index based on the MBR's brightest band frequency and SeaWiFS mission data.
Main Results:
- Achieved excellent internal consistency across OC 'Version -7' algorithms, with median regression slopes and R2 values of 0.985 and 0.859, respectively.
- Demonstrated equivalent or superior performance of new algorithms compared to heritage chlorophyll algorithms in SeaWiFS and MODIS-Aqua match-ups.
- Quantified global ocean trophic status: oligotrophic (~24%), mesotrophic (~67%), and eutrophic (~9%) waters based on the new index and 40-year chlorophyll data.
Conclusions:
- The developed OC algorithms provide high consistency and comparability, supporting the merging of multi-mission ocean color data.
- Incorporating the 412 nm band enhances chlorophyll estimation, particularly in oligotrophic regions, and improves the dynamic range of MBR algorithms.
- The new bio-optically based trophic status index offers a quantitative and reproducible method for classifying ocean conditions globally.
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