This preprint is open for discussion and under review for Ocean Science (OS).
Short summary
Short summary
Estimating Particulate Organic Carbon (POC) relies on proxies like the particulate backscattering coefficient (bbp) derived from BioGeoChemical-Argo (BGC-Argo) floats and satellite data. BGC-Argo floats provide global insights into vertical bio-optical dynamics. This study integrates Sentinel-3 data and machine learning approaches to improve bbp estimates in the top 250 meters of the water column. Results are promising in stable global oceanic areas but less consistent in more dynamic regions.
This preprint is open for discussion and under review for Ocean Science (OS).
Short summary
Short summary
Estimating Particulate Organic Carbon (POC) relies on proxies like the particulate backscattering coefficient (bbp) derived from BioGeoChemical-Argo (BGC-Argo) floats and satellite data. BGC-Argo floats provide global insights into vertical bio-optical dynamics. This study integrates Sentinel-3 data and machine learning approaches to improve bbp estimates in the top 250 meters of the water column. Results are promising in stable global oceanic areas but less consistent in more dynamic regions.