Catastrophic earthquakes, with their devastating and often unpredictable nature, can wreak havoc on socioeconomic stability. As scientific advancements continue and our monitoring systems and emergency protocols improve, we are increasingly better equipped to handle these unexpected events. With the advent of the Exascale Era, characterized by immense computational capabilities and vast data volumes, DT-GEO is poised to revolutionize our understanding and response to geophysical extremes, tsunamis, earthquakes, volcanoes, and anthropogenic seismicity.
What is a Digital Twin?A digital twin is a highly detailed and dynamic virtual model of a physical system. In the context of DT-GEO, it will mimic various components of geophysical systems with high precision. This virtual model allows for comprehensive analyses, forecasts, and the exploration of what-if scenarios related to natural hazards and resources from their genesis phases and across their temporal and spatial scales. Essentially, it provides a way to simulate and study these complex natural phenomena in a controlled, virtual environment.
Goals & scopeDT-GEO leverages world-class computational and data research infrastructures, operational monitoring networks, and cutting-edge research and academic partnerships in geophysics. The project is structured around creating digital twin components (DTCs), each addressing specific scientific questions and technical challenges. These components are crucial for:
Importance & impactThe ability to predict and analyze natural disasters accurately can save lives and mitigate economic damage. By creating digital twins for geophysical extremes, DT-GEO will provide valuable insights that can enhance our preparedness and response strategies. These digital twins will help scientists and policymakers to better understand the dynamics of natural hazards, leading to more effective emergency planning and resource management.
Looking aheadAs the DT-GEO project progresses, it will serve as a prototype for future digital twins in other domains. The advancements made through this project will pave the way for broader applications of digital twin technology, potentially transforming how we approach environmental monitoring and disaster management on a global scale. |
|
SED Projektleitung | Dr. Maren Böse, Dr. Laurentiu Danciu, Dr. Leila Mizrahi |
Finanzierung | European Horizon Program (No. 101058129), Switzerland |
Zeitdauer | 2022-2025 |
Stichwörter | hazard assessment, urgent computing, early warning forecast |
Bereich | Earthquake hazard and risk |
Webseite | https://dtgeo.eu/ |