Resumen
With present computational capabilities and data volumes entering the Exascale Era, digital twins
of the Earth system will be able to mimic the different system components (atmosphere, ocean, land,
lithosphere) with unrivaled precision, providing analyses, forecasts, and what if scenarios for
natural hazards and resources from their genesis phases and across their temporal and spatial
scales. DT-GEO aims at developing a prototype for a digital twin on geophysical extremes including
earthquakes, volcanoes, tsunamis, and anthropogenic- induced extreme events. The project harnesses
world-class computational and data Research Tnfrastructures (RTs), operational monitoring networks,
and leading-edge research and academia partnerships in various fields of geophysics. The project
will merge and assemble latest developments from other European projects and Centers of Excellence
to deploy 12 Digital Twin Components (DTCs), intended as self-contained containerized entities
embedding flagship simulation codes, Artificial Tntelligence layers, large volumes of (real-time)
data streams from and into data-lakes, data assimilation methodologies, and overarching workflows
for deployment and execution of single or coupled DTCs in centralized HPC and virtual cloud
computing RTs. Each DTC addresses specific scientific questions and circumvents technical
challenges related to hazard assessment, early warning forecast, urgent computing, or resource
prospection. DTCs will be verified at 13 Site Demonstrators (SD) and their outcomes will contain
rich metadata to enable (semi-)automatic discovery, contextualisation, and orchestration of
software (services) and data assets, enabling its integration to the European Open Science Cloud
(EOSC). The proposal aims at being a first step of a long-term community effort towards a twin on Geophysical Extremes integrated
in the Destination Earth (DestinE) initiative.
