Imagine trying to predict the weather using a map that ignores small whirlpools and swirls in the ocean. This project builds a digital version of the Earth that finally includes these swirls, which act like the ocean's weather systems. By adding this detail, we can better predict sudden climate shifts and extreme storms.
Current climate models ignore small-scale ocean eddies, making it difficult for businesses to predict extreme weather and climate tipping points accurately.
A set of century-scale, eddy-rich global climate simulations and a FAIR data ecosystem for efficient access via Zarr and STAC catalogues.
If you are a reinsurance firm dealing with unpredictable coastal storm surges — this project developed eddy-rich simulations that improve the attribution of extremes. This allows for more accurate risk pricing for century-scale climate events.
If you are a shipping operator dealing with inefficient routing due to unknown ocean currents — this project developed kilometre-scale ocean dynamics. This provides a foundation for better Digital Twins of the Earth to optimize route planning.
If you are a developer dealing with site selection for offshore assets — this project developed models that realistically represent ocean mesoscale processes. This helps in predicting long-term environmental stability and tipping points.
Based on available project data, no pricing or commercial cost is mentioned as the project focuses on scientific simulations and FAIR data infrastructures.
The project targets high-performance computing (HPC) and pre-exascale supercomputers, aiming for a simulation speed of 5 simulated years per day.
Based on available project data, the outputs are published through open repositories like ESGF, CEDA, and WDCC, suggesting an open-science approach.
The results are designed for downstream use in European climate services and Digital Twins of the Earth.
The project period runs from 2023-01-01 to 2026-12-31.
The consortium is heavily research-oriented, consisting of 17 partners across 9 countries. It is dominated by universities (7) and research centers (7), with a very low industry presence (1 company, 6% ratio). This indicates the project is currently in a high-science phase, focusing on fundamental climate modeling rather than immediate commercial productization.
Contact Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
Contact us to explore how these high-resolution ocean datasets can refine your climate risk models.
