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 Infrastructures (RIs), 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 Intelligence 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 RIs. 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.
Web page: https://dtgeo.eu/
Funding codes:- 101058129
Project funded by Horizon Europe under the grant agreement No 101058129
Related items
Teams: WP8 - Anthropogenic geophysical extremes
Organizations: Centre National de la Recherche Scientifique (CNRS)
Teams: WP5 - Volcanoes
Organizations: Geosciences Barcelona (GEO3BCN-CSIC)
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Teams: WP5 - Volcanoes, COMPSs Tutorials
Organizations: Geosciences Barcelona (GEO3BCN-CSIC)
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Expertise: Computer Science, Scientific workflow developement
Teams: COMPSs Tutorials, WP5 - Volcanoes
Organizations: Geosciences Barcelona (GEO3BCN-CSIC)
Expertise: Geophysics, Mathematical Modelling, Probabilistic Inversion, Theoretical Seismology
Tools: Python, C++, Mathematical Modelling
Teams: WP8 - Anthropogenic geophysical extremes
Organizations: ACC Cyfronet AGH
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Teams: Cluster Emergent del Cervell Humà, Workflows and Distributed Computing, WP6 - Tsunamis, WP7 - Earthquakes, WP8 - Anthropogenic geophysical extremes, WP5 - Volcanoes, Pillar I: Manufacturing, Pillar II: Climate, Pillar III: Urgent computing for natural hazards, eFlows4HPC general, COMPSs Tutorials
Organizations: Barcelona Supercomputing Center (BSC-CNS)
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Expertise: Workflows, Programming Models, High Performance Computing, Distributed Computing, Provenance
Tools: COMPSs
Established Researcher at Workflows and Distributed Computing Group, Computer Sciences department, Barcelona Supercomputing Center.
Develop and implement 4 DTCs for volcano-related extremes: volcanic unrest (DTC-V1), forecast of volcanic ash clouds and fallout (DTC-V2), lava flows (DTC-V3), and volcanic gases (DTC-V4).
Test the 4 DTC-V through demonstrators at 3 relevant European sites: Mt. Etna in Italy (SD1), and Grímsvötn and Fagradalsfjall in Iceland (SD2 and SD3 respectively).
Space: A Digital Twin for GEOphysical extremes (DT-GEO)
Public web page: https://dtgeo.eu/
Organisms: Not specified
Develop and implement 1 DTC for data-informed Probabilistic Tsunami Forecasting (PTF) (DTC-T1)
Test the DTC-T1 through demonstrators at 4 relevant sites: Mediterranean sea coast (SD4), Eastern Sicily (SD5), Chilean cost (SD6), and Eastern Honshu coast in Japan (SD7).
Space: A Digital Twin for GEOphysical extremes (DT-GEO)
Public web page: https://dtgeo.eu/
Organisms: Not specified
Provide an integrated, comprehensive, modular modelling and testing framework
Develop multi-scale workflows applicable beyond the identified test-areas enabling improved physical understanding and progress beyond state-of-the-art in the earthquake process.
Develop and implement 6 DTCs covering earthquake-related aspects over long and short time scales
Test the 6 DTC-E at 4 relevant sites: Euro-Med (SD8), Central Apennines and Alto-Tiberina (SD9), Bedretto Lab (SD10) and the Alps (SD11).
Space: A Digital Twin for GEOphysical extremes (DT-GEO)
Public web page: https://dtgeo.eu/
Organisms: Not specified
Develop and implement 1 DTC for Anthropogenic Geophysical Extreme Forecasting (AGEF) with 4 workflow outcomes: forecasting of long-range responses of georeservoirs (TC-AGEF1), forecasting of late responses of georeservoirs (TC-AGEF2), modelling of the largest magnitude (TC-AGEF3), and induced seismic hazard map estimation (TC-AGEF4).
Test the DTC-A through demonstrators at 2 relevant European sites: Strasbourg geothermal site in France (SD12) and KGHM copper ore mine in Poland (SD13).
Space: A Digital Twin for GEOphysical extremes (DT-GEO)
Public web page: https://dtgeo.eu/
Organisms: Not specified
CWL + RO-Crate Workflow Descriptions
This repository stores computational workflows described using the Common Workflow Language (CWL) and enriched with metadata using Research Object Crate (RO-Crate) conforming to the Workflow Run RO-Crate profile.
Each workflow is contained in its own directory (e.g., WF5201
, WF6101
, ...). Inside each workflow directory you will typically find at least:
- The CWL workflow definition (with the same name as the directory, e.g.,
WF5201.cwl
). ...
CWL + RO-Crate Workflow Descriptions
This repository stores computational workflows described using the Common Workflow Language (CWL) and enriched with metadata using Research Object Crate (RO-Crate) conforming to the Workflow Run RO-Crate profile.
Each workflow is contained in its own directory (e.g., WF5201
, WF6101
, ...). Inside each workflow directory you will typically find at least:
- The CWL workflow definition (with the same name as the directory, e.g.,
WF5201.cwl
). ...