EGU25-11408, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-11408
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Thursday, 01 May, 17:45–17:55 (CEST)
 
Room L2
The SeSaM Project: Sargassum Forecasting and its Integration into the Digital Twin of the Ocean
Gaël Many1, Giovanni Ruggiero1, Julien Jouanno2, Marc Lucas3, Quentin Gaudel1, and Jean-Michel Lellouche1
Gaël Many et al.
  • 1Mercator Ocean International, Ocean Forecast, France (gael.many@mercator-ocean.fr)
  • 2IRD, LEGOS, 14 Av. Edouard Belin, 31400 Toulouse, France
  • 3CLS, 11 Rue Hermès, 31520 Ramonville-Saint-Agne, France

The SeSaM (Seasonal Sargassum Monitoring and Forecasting) project addresses the critical challenge of managing mass sargassum invasions in the Tropical Atlantic Ocean, providing key insights and forecasting tools for stakeholders. Mercator Ocean International has operationalized the NEMO-based model of sargassum distribution, initially developed by the French National Research Institute for Sustainable Development (IRD). Integrated into the NEMO4.2 framework, the model enables 7-month ensemble forecasts of the physical ocean (SST, currents) and the related sargassum distribution using initial conditions derived from Sentinel-3/OLCI satellite data provided by CLS (Collecte Localisation Satellites). The system delivers reliable predictions of Sargassum transport and seasonal evolution. Forecasts for 2020–2025 are accessible through the project platform. By 2025, these forecasts will also be available on the Digital Twin of the Ocean (DTO), through the EDITO platform (European DTO) with monthly updates. Future enhancements will include interactive user services within the DTO, enabling "what-if" scenarios to optimize collection strategies and support informed decision-making. This initiative is a key step toward mitigating the ecological and socio-economic impacts of Sargassum influxes while exploring its potential as a resource.

How to cite: Many, G., Ruggiero, G., Jouanno, J., Lucas, M., Gaudel, Q., and Lellouche, J.-M.: The SeSaM Project: Sargassum Forecasting and its Integration into the Digital Twin of the Ocean, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-11408, https://doi.org/10.5194/egusphere-egu25-11408, 2025.