Imagine having a high-tech flight simulator, but for the entire planet's crust. Instead of planes, it simulates how volcanoes erupt or how tsunamis move across the ocean. It uses massive computing power to create 'what-if' scenarios so we can better predict natural disasters before they hit.
Companies operating in geologically active zones lack precise, real-time simulation tools to predict the impact of earthquakes and volcanic eruptions. This leads to overpriced insurance and high-risk infrastructure investments.
A prototype digital twin consisting of 12 containerized components that combine AI, simulation codes, and real-time data streams. It includes validated test results for specific sites like Mt. Etna and Grímsvötn.
If you are a catastrophe insurance provider dealing with unpredictable volcanic risk — this project developed 12 Digital Twin Components that provide precise forecasts and what-if scenarios. This allows for more accurate risk pricing and loss estimation for high-risk zones.
If you are an infrastructure planning firm dealing with seismic vulnerability in urban areas — this project developed a prototype for geophysical extremes including earthquakes. This helps in designing buildings that can withstand specific simulated disaster intensities.
If you are a geothermal energy developer dealing with resource prospection in volcanic regions — this project developed tools for resource prospection and hazard assessment. This reduces the risk of drilling in unstable areas.
Based on available project data, no pricing or cost information is provided as this is a research project funded by the EU.
The project uses Exascale Era computational capabilities and is designed to integrate into the Destination Earth initiative, suggesting a high capacity for large-scale deployment.
Based on available project data, specific licensing terms are not listed, but the project aims for integration into the European Open Science Cloud (EOSC).
It uses containerized entities and data-lakes to allow for the orchestration of software and data assets, ensuring compatibility with the European Open Science Cloud.
The project period runs from 2022-09-01 to 2025-08-31, with deliverables focused on testing and validation during this window.
The consortium is heavily weighted toward research and academia, with 15 research organizations and 11 universities across 10 countries. Industrial participation is very low at 4%, consisting of only one SME and one industry partner, indicating the project is currently in a scientific validation phase rather than a commercial rollout phase.
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