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EU-INTERCHANGE: European regional and coastal seas in a rapid changing climate

EU-INTERCHANGE addresses the outcomes of the call “CL6-2024-CLIMATE-01-6: Ocean models for seasonal to decadal regional climate impacts and feedbacks”. A current limitation to climate change projections for EU-basin scale to coastal use comes from an insufficient representation and resolution of basin and coastal ocean dynamics and from an unsatisfactory understanding of the oceanic biogeochemical cycle. Most climate models include the ocean dimension that stops at the regional scale as defined by meteorology and climatology like in CORDEX.

MULTICAST: Stochastic MULTI-grid ocean foreCASTing

The project aims at strengthening Copernicus Marine Service in the areas of regional ocean uncertainty modelling, Ensemble-based multiresolution forecasting, and Ensemble-based multigrid data assimilation. The work is based on stochastic modelling of ocean physics and includes methods suitable to assess the forecasting skill for high-resolution dynamics of the Blue Ocean. The work builds upon, and expands, the previous Service Evolution projects SCRUM and SCRUM2.

SCRUM2: Stochastic Coastal/Regional Uncertainty Modelling 2

The work proposed here builds upon, and expends, the previous Service Evolution SCRUM project. It aims at strengthening CMEMS in the areas of regional/coastal ocean uncertainty modelling, Ensemble consistency verification, Ensemble probabilistic forecasting, and Ensemble data assimilation. The work is based on stochastic modelling of ocean physics and biogeochemistry, in the context of coastal/regional Ensemble Data Assimilation (EDA) forecasting systems, and includes methods suitable to assess the reliability of Ensembles in probabilistic assimilation systems.

SCRUM: Stochastic Coastal/Regional Uncertainty Modelling

The proposed work aims at strengthening CMEMS in the areas of regional/coastal ocean uncertainty modelling, Ensemble consistency verification, and Ensemble data assimilation. The work is based on stochastic modelling of ocean physics and biogeochemistry, in the context of coastal/regional Ensemble Data Assimilation (EDA) forecasting systems, and includes novel Ensemble consistency verification methods. The work is designed for the Service Evolution framework within “Lot 3: links with coastal environment”.