If you are a reinsurance firm dealing with unpredictable volcanic or seismic risks — this project developed 15 Simulation Cases that provide high-end data inversion and uncertainty quantification. This allows for more precise physics-based probabilistic hazard assessments to price premiums accurately.
Exascale Computing for High-Precision Natural Disaster Prediction and Risk Management
Imagine having a super-powered digital twin of the Earth that can simulate volcanic eruptions or earthquakes in seconds rather than days. This work optimizes complex math codes so they can run on the world's fastest computers, making predictions much faster and more accurate. It's like upgrading from a handheld calculator to a supercomputer to predict exactly where a tsunami might hit.
What needed solving
Current geohazard models are often too slow or too low-resolution to provide actionable warnings during emergencies. This creates a gap in the ability to mitigate financial and human loss from volcanoes, earthquakes, and tsunamis.
What was built
Optimized high-performance computing codes and 9 Pilot Demonstrators, including 3D volcanic explosion and seismic hazard models.
Who needs this
Who can put this to work
If you are a consultancy dealing with urban planning in geohazard zones — this project developed demonstrators on extreme-scale modeling of seismic hazards. This helps in designing buildings that can withstand specific, high-resolution simulated earthquake scenarios.
If you are a public agency dealing with the need for immediate evacuation orders — this project developed urgent computing capabilities for faster-than-real-time tsunami simulations. This reduces the time between a geohazard event and the delivery of life-saving warnings.
Quick answers
What is the cost or pricing for using these tools?
Based on available project data, no specific pricing or cost structures are mentioned; the project focuses on optimizing codes for EuroHPC systems.
Can this be scaled to industrial levels?
Yes, the project specifically targets exascale infrastructures and optimizes 11 flagship community codes for performance portability across EuroHPC tier-0/tier-1 systems.
What are the IP and licensing terms for the developed codes?
Based on available project data, the project focuses on 'community flagship codes' and 'EOSC-enabled datasets,' suggesting an open-science or shared-access model, though specific licenses are not listed.
How does this integrate with existing emergency systems?
The project develops workflows for urgent computing and early warning forecasts, including recommendations for emergency access modes in supercomputing systems.
What is the timeline for deployment?
The project period runs from 2023-01-01 to 2026-12-31, indicating that final deliverables and optimized codes will be available by the end of 2026.
Who built it
The consortium is heavily research-driven, consisting of 19 partners across 8 countries. It is dominated by research institutes (9) and universities (7), with a modest industrial presence of 2 partners (11% industry ratio), including one SME. This structure suggests the output is primarily high-end technical software and scientific data rather than a commercial off-the-shelf product.
Contact AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS in Spain
Talk to the team behind this work.
Contact us to find the specific optimized code for your geohazard risk profile.