ORAL SESSION 12. Dissolved Organic Carbon (DOC) and Ocean Carbon Cycling

10:30–11:15, Friday, September 18

Oral Session | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13Schedule at a Glance

10:30–10:45 | ABSTRACT 1142

ESTIMATING AND MONITORING DISSOLVED ORGANIC CARBON (DOC) FROM SPACE ACROSS THE GLOBAL OCEAN, WITH A FOCUS ON THE NORTHWEST EUROPEAN SHELF

Effective monitoring of dissolved organic carbon (DOC) from space is crucial for tracking carbon stocks and understanding variability across coastal and open-ocean environments. Building upon an existing algorithm developed within the OCROC project (Copernicus Marine Service), we present an enhanced framework for satellite-based DOC estimation that integrates data from historical and current ocean color sensors. The approach combines two optimized artificial neural networks with a dedicated coastal algorithm based on a CDOM-DOC relationship, using four input variables – the absorption coefficient of colored dissolved organic matter (acdom), chlorophyll-a (CHL), sea surface temperature (SST), and mixed layer depth (MLD)—at varied time lags to account for water mass dynamics. Wavelength adjustments enable consistent acdom estimation across MODIS and VIIRS missions, extending temporal coverage back to 1998. The resulting weekly DOC product, spanning 1998–2024 at 4 km resolution, achieves a global Mean Absolute Percentage Deviation (MAPD) of 15.81%. Independent validation against in situ time series from the Bermuda Atlantic Time-Series Study (BATS) and the Hawaii Ocean Time-Series (HOT) confirms robust reconstruction of seasonal DOC variability, with MAPDs of 9.03% and 3.39%, respectively. Regional case studies in the North Atlantic further demonstrate the algorithm’s ability to capture biologically driven DOC dynamics associated with phytoplankton bloom events. Comparison with existing global DOC products reveals good overall consistency, with notable differences in high-latitude and equatorial regions supported by independent in situ evidence. The framework provides a scalable tool for long-term monitoring of the oceanic carbon cycle from space.

Marie Montero, ULCO-LOG, France, [email protected], https://orcid.org/0000-0003-1696-5336

Roy El Hourany, ULCO-LOG, France, [email protected]

Daniel S.F. Jorge, ULCO-LOG, France, [email protected]

Marine Bretagnon, ACRI-ST, France, [email protected]

Vincent Vantrepotte, ULCO-LOG, France, [email protected]

Arnaud Cauvin, ULCO-LOG, [email protected]

Aurélien Prat, ACRI-ST, France, [email protected]

Ana Gabriela Bonelli, Département de Biologie, Chimie et Géographie, Université du Québec à Rimouski, Canada, [email protected]

Lucile Duforêt-Gaurier, ULCO-LOG, France, [email protected]

Antoine Mangin, ACRI-ST, France, [email protected]

Hubert Loisel, ULCO-LOG, [email protected]

Oral Session | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | Schedule at a Glance

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