Imagine the ocean has a giant conveyor belt that moves heat and salt around the planet to keep temperatures stable. Right now, we aren't sure if this belt is slowing down or might even stop, which would cause wild weather changes in Europe. This work uses super-detailed computer maps and old climate records to figure out exactly how this belt works so we can predict future climate shifts more accurately.
Current climate models have low confidence in predicting the magnitude of ocean circulation decline and whether a collapse will occur by 2100. This uncertainty makes it impossible for businesses to accurately price long-term climate risks in Europe.
High-resolution coupled climate models and a new conceptual framework for ocean circulation. It also includes a next-generation observing system for monitoring ocean variability.
If you are a reinsurance firm dealing with unpredictable extreme weather patterns in Europe — this project developed high-resolution coupled climate models that provide better predictions of climate evolution and the risk of rapid change.
If you are an agri-tech firm dealing with shifting temperature zones and rainfall patterns — this project developed a new way to quantify past ocean changes to better predict future weather patterns across Europe.
If you are a shipping operator dealing with changing ocean currents and heat transport — this project developed a more sustainable next-generation observing system to monitor ocean variability since 1993.
Based on available project data, no pricing or cost structures are mentioned as this is a Horizon-RIA research project.
The project focuses on generating a new conceptual framework and improving model resolution; it is currently in the research and validation phase rather than industrial scale.
Based on available project data, there are no specific details regarding IP or licensing agreements provided in the summary.
The project period runs from 2022-07-01 to 2027-06-30.
It integrates multi-observational data since 1993 and paleo-proxies since 1950 using machine learning and high-resolution models.
The consortium is heavily research-oriented, consisting of 25 partners across 8 countries. It is dominated by 11 universities and 9 research institutions, with a low industry presence of only 2 companies (8% ratio), including one SME. This suggests the output is primarily scientific knowledge and high-end modeling rather than a commercial off-the-shelf product.
University of Hamburg
Contact us to track the 2027 final results of these high-resolution climate models.
