Lessons Learned from the French Drift Committee (CODER): An Operational, Collaborative Approach to Refine Oil Drift Modeling at Sea—Case Study of the RAMOGEPOL 2025 Exercise

Marine oil spill management requires rapid and accurate forecasts to mitigate environmental and operational risks. Created in 2002 during the Prestige spill and formally established in 2006, the French Drift Committee (CODER) unites expertise from CEDRE, Météo-France, Ifremer and Shom to refine oil drift modeling and response strategies. CODER’s operational scope combines multi-model forecasting, including MOTHY and OILMAP, integrated with real-time observations from drifting buoys, satellite/aerial observations and high-resolution environmental data, such as Copernicus Marine Environment Monitoring Service (CMEMS) current forecasts and Météo-France’s ARPEGE and AROME wind models. Annual exercises, such as RAMOGEPOL 2025, provide a controlled environment to test model performance in diverse hydrodynamic conditions and recalibrate simulations using real-time buoy data. During this exercise, the French Navy’s Anti-Pollution Practical Expertise Center (CEPPOL) deployed buoys in the Mediterranean Sea, off the coast of Saint-Tropez, France, in both the Northern Current and wind-driven coastal waters, enabling CODER to assess model performance and refine simulations by comparing buoy trajectories with model outputs. This process enhances the accuracy of drift predictions, improves the understanding of local hydrodynamics, and identifies models’ strengths and limitations. By systematically evaluating and adjusting models using operational data, CODER strengthens the reliability of drift forecasts, ensuring more effective and adaptive responses to marine pollution incidents.

Authors

Institutions

Publication Details

Journal
Journal of Marine Science and Engineering
Published
2026-08-03
DOI
https://doi.org/10.3390/jmse14151427
Primary Topic
Oil Spill Detection and Mitigation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lessons Learned from the French Drift Committee (CODER): An Operational, Collaborative Approach to Refine Oil Drift Modeling at Sea—Case Study of the RAMOGEPOL 2025 Exercise

Jean-François Le Roux, Valérie Ulvoas, Vincent Gouriou, Yann Ferret et al.
Journal of Marine Science and Engineering
Oil Spill Detection and Mitigation
article

Lessons Learned from the French Drift Committee (CODER): An Operational, Collaborative Approach to Refine Oil Drift Modeling at Sea—Case Study of the RAMOGEPOL 2025 Exercise

Jean-François Le Roux, Valérie Ulvoas, Vincent Gouriou, Yann Ferret, Stéphanie Louazel, Morgane MIGNOT, Simon Martin, Coralline Nicolas, Edmée Durand, Gauthier Dupire
article en

Abstract

Marine oil spill management requires rapid and accurate forecasts to mitigate environmental and operational risks. Created in 2002 during the Prestige spill and formally established in 2006, the French Drift Committee (CODER) unites expertise from CEDRE, Météo-France, Ifremer and Shom to refine oil drift modeling and response strategies. CODER’s operational scope combines multi-model forecasting, including MOTHY and OILMAP, integrated with real-time observations from drifting buoys, satellite/aerial observations and high-resolution environmental data, such as Copernicus Marine Environment Monitoring Service (CMEMS) current forecasts and Météo-France’s ARPEGE and AROME wind models. Annual exercises, such as RAMOGEPOL 2025, provide a controlled environment to test model performance in diverse hydrodynamic conditions and recalibrate simulations using real-time buoy data. During this exercise, the French Navy’s Anti-Pollution Practical Expertise Center (CEPPOL) deployed buoys in the Mediterranean Sea, off the coast of Saint-Tropez, France, in both the Northern Current and wind-driven coastal waters, enabling CODER to assess model performance and refine simulations by comparing buoy trajectories with model outputs. This process enhances the accuracy of drift predictions, improves the understanding of local hydrodynamics, and identifies models’ strengths and limitations. By systematically evaluating and adjusting models using operational data, CODER strengthens the reliability of drift forecasts, ensuring more effective and adaptive responses to marine pollution incidents.

Journal of Marine Science and EngineeringVol. 14(15)
Centre National de la Recherche Scientifique (FR), Ifremer (FR), Université de Bretagne Occidentale (FR), Institut de Recherche de l’École Navale (FR), Service Hydrographique et Océanographique de la Marine (FR), Météo-France (FR), Laboratory for Ocean Physics and Satellite Remote Sensing (FR), Centre de Documentation de Recherche et d'Expérimentation sur les Pollutions Accidentelles des Eaux (FR), Institut Universitaire Européen de la Mer (FR), Institut de Recherche pour le Développement (FR)
Life below water
Openalex Percentile: Top 18%
Oil Spill Detection and Mitigation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.