Ocean Science
Ocean Science
OS
Articles | Volume 21, issue 4
Articles | Volume 21, issue 4
https://doi.org/10.5194/os-21-1677-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-21-1677-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 4
Technical note
 | 
05 Aug 2025
Technical note |  | 05 Aug 2025

Combining BioGeoChemical-Argo (BGC-Argo) floats and satellite observations for water column estimations of the particulate backscattering coefficient

Jorge García-Jiménez, Ana B. Ruescas, Julia Amorós-López, and Raphaëlle Sauzède

Viewed

Total article views: 5,656 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,465 1,019 172 5,656 186 278
  • HTML: 4,465
  • PDF: 1,019
  • XML: 172
  • Total: 5,656
  • BibTeX: 186
  • EndNote: 278
Views and downloads (calculated since 07 Jan 2025)
Cumulative views and downloads (calculated since 07 Jan 2025)

Viewed (geographical distribution)

Total article views: 5,656 (including HTML, PDF, and XML) Thereof 5,503 with geography defined and 153 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 08 Jun 2026
Download
Short summary
Estimation of 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 OLCI (Ocean and Land Colour Instrument) data and machine learning approaches to improve bbp estimates in the top 250 m of the water column. The results differ based on the dynamics of the study areas.
Read more
Share