Articles | Volume 21, issue 4
https://doi.org/10.5194/os-21-1677-2025
https://doi.org/10.5194/os-21-1677-2025
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

Related authors

Using machine learning and Biogeochemical-Argo (BGC-Argo) floats to assess biogeochemical models and optimize observing system design
Alexandre Mignot, Hervé Claustre, Gianpiero Cossarini, Fabrizio D'Ortenzio, Elodie Gutknecht, Julien Lamouroux, Paolo Lazzari, Coralie Perruche, Stefano Salon, Raphaëlle Sauzède, Vincent Taillandier, and Anna Teruzzi
Biogeosciences, 20, 1405–1422, https://doi.org/10.5194/bg-20-1405-2023,https://doi.org/10.5194/bg-20-1405-2023, 2023
Short summary
EXPLORING DESIS FOR INLAND WATER QUALITY IN SPANISH RESERVOIRS
A. B. Ruescas, M. Pereira-Sandoval, and A. Perez-Suay
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-1-W1-2021, 65–68, https://doi.org/10.5194/isprs-archives-XLVI-1-W1-2021-65-2022,https://doi.org/10.5194/isprs-archives-XLVI-1-W1-2021-65-2022, 2022
ESTIMATION OF OCEANIC PARTICULATE ORGANIC CARBON WITH MACHINE LEARNING
R. Sauzède, J. E. Johnson, H. Claustre, G. Camps-Valls, and A. B. Ruescas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 949–956, https://doi.org/10.5194/isprs-annals-V-2-2020-949-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-949-2020, 2020
Introduction to the French GEOTRACES North Atlantic Transect (GA01): GEOVIDE cruise
Géraldine Sarthou, Pascale Lherminier, Eric P. Achterberg, Fernando Alonso-Pérez, Eva Bucciarelli, Julia Boutorh, Vincent Bouvier, Edward A. Boyle, Pierre Branellec, Lidia I. Carracedo, Nuria Casacuberta, Maxi Castrillejo, Marie Cheize, Leonardo Contreira Pereira, Daniel Cossa, Nathalie Daniault, Emmanuel De Saint-Léger, Frank Dehairs, Feifei Deng, Floriane Desprez de Gésincourt, Jérémy Devesa, Lorna Foliot, Debany Fonseca-Batista, Morgane Gallinari, Maribel I. García-Ibáñez, Arthur Gourain, Emilie Grossteffan, Michel Hamon, Lars Eric Heimbürger, Gideon M. Henderson, Catherine Jeandel, Catherine Kermabon, François Lacan, Philippe Le Bot, Manon Le Goff, Emilie Le Roy, Alison Lefèbvre, Stéphane Leizour, Nolwenn Lemaitre, Pere Masqué, Olivier Ménage, Jan-Lukas Menzel Barraqueta, Herlé Mercier, Fabien Perault, Fiz F. Pérez, Hélène F. Planquette, Frédéric Planchon, Arnout Roukaerts, Virginie Sanial, Raphaëlle Sauzède, Catherine Schmechtig, Rachel U. Shelley, Gillian Stewart, Jill N. Sutton, Yi Tang, Nadine Tisnérat-Laborde, Manon Tonnard, Paul Tréguer, Pieter van Beek, Cheryl M. Zurbrick, and Patricia Zunino
Biogeosciences, 15, 7097–7109, https://doi.org/10.5194/bg-15-7097-2018,https://doi.org/10.5194/bg-15-7097-2018, 2018
Short summary
Seasonal dynamics and disturbance of phytoplankton biomass in the wake of Tahiti as observed by Biogeochemical-Argo floats
Raphaëlle Sauzède, Elodie Martinez, Orens Pasqueron de Fommervault, Antoine Poteau, Alexandre Mignot, Christophe Maes, Hervé Claustre, Julia Uitz, Keitapu Maamaatuaiahutapu, Martine Rodier, Catherine Schmechtig, and Victoire Laurent
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-541,https://doi.org/10.5194/bg-2017-541, 2018
Revised manuscript not accepted

Related subject area

Approach: Remote Sensing | Properties and processes: Biological oceanography and marine ecology
The satellite chlorophyll signature of Lagrangian eddy trapping varies regionally and seasonally within a subtropical gyre
Alexandra E. Jones-Kellett and Michael J. Follows
Ocean Sci., 21, 1141–1166, https://doi.org/10.5194/os-21-1141-2025,https://doi.org/10.5194/os-21-1141-2025, 2025
Short summary
Analyses of sea surface chlorophyll a trends and variability from 1998 to 2020 in the German Bight (North Sea)
Felipe de Luca Lopes de Amorim, Areti Balkoni, Vera Sidorenko, and Karen Helen Wiltshire
Ocean Sci., 20, 1247–1265, https://doi.org/10.5194/os-20-1247-2024,https://doi.org/10.5194/os-20-1247-2024, 2024
Short summary
Biophysical coupling of seasonal chlorophyll-a bloom variations and phytoplankton assemblages across the Peninsula Front in the Bransfield Strait
Marta Veny, Borja Aguiar-González, Ángeles Marrero-Díaz, Tania Pereira-Vázquez, and Ángel Rodríguez-Santana
Ocean Sci., 20, 389–415, https://doi.org/10.5194/os-20-389-2024,https://doi.org/10.5194/os-20-389-2024, 2024
Short summary
Linking satellites to genes with machine learning to estimate phytoplankton community structure from space
Roy El Hourany, Juan Pierella Karlusich, Lucie Zinger, Hubert Loisel, Marina Levy, and Chris Bowler
Ocean Sci., 20, 217–239, https://doi.org/10.5194/os-20-217-2024,https://doi.org/10.5194/os-20-217-2024, 2024
Short summary

Cited articles

Ahmed, S., Gilerson, A., Hlaing, S., Weidemann II, A., Arnone, R., and Wang, M.: Evaluation of ocean color data processing schemes for VIIRS sensor using in-situ data of coastal AERONET-OC sites, in: Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2013, International Society for Optics and Photonics, SPIE, 8888, 88880H, https://doi.org/10.1117/12.2028821, 2013. a
Argo: Argo float data and metadata from Global Data Assembly Centre (Argo GDAC), SEANOE [data set], https://doi.org/10.17882/42182, 2025. a
Bailey, S. W. and Werdell, P. J.: A multi-sensor approach for the on-orbit validation of ocean color satellite data products, Remote Sens. Environ., 102, 12–23, https://doi.org/10.1016/j.rse.2006.01.015, 2006. a
Barnes, B. B., Cannizzaro, J. P., English, D. C., and Hu, C.: Validation of VIIRS and MODIS reflectance data in coastal and oceanic waters: An assessment of methods, Remote Sens. Environ., 220, 110–123, https://doi.org/10.1016/j.rse.2018.10.034, 2019.  a
Behrenfeld, M. J. and Boss, E.: Beam attenuation and chlorophyll concentration as alternative optical indices of phytoplankton biomass, J. Marine Res., 64, https://elischolar.library.yale.edu/journal_of_marine_research/134 (last access: 28 July 2025), 2006. a
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.
Share