SEEK ID: https://workflowhub.eu/people/561
Location:
Italy
ORCID:
https://orcid.org/0000-0003-2290-8637
Joined: 15th Sep 2023
Expertise: Not specified
Tools: Not specified
Related items
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, ...
Teams: WP5 - Volcanoes, WP6 - Tsunamis, WP7 - Earthquakes, WP8 - Anthropogenic geophysical extremes
Web page: https://dtgeo.eu/
eFlows4HPC project aims at providing workflow software stack and an additional set of services to enable the integration of HPC simulations and modelling with big data analytics and machine learning in scientific and industrial applications. The project is also developing the HPC Workflows as a Service (HPCWaaS) methodology that aims at providing tools to simplify the development, deployment, execution and reuse of workflows. The project demonstrates its advances through three application Pillars ...
Teams: Cluster Emergent del Cervell Humà, Workflows and Distributed Computing, Pillar I: Manufacturing, Pillar II: Climate, Pillar III: Urgent computing for natural hazards, eFlows4HPC general, COMPSs Tutorials
Web page: https://eflows4hpc.eu
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
Team created to publish applications during COMPSs Tutorials, and share them among participants.
Space: eFlows4HPC
Public web page: https://www.bsc.es/education/training/bsc-training/bsc-training-course-programming-distributed-computing-platforms-compss/
Organisms: Not specified
This team is to publish workflows executed from WPs that are not the three main pillars of the project.
Space: eFlows4HPC
Public web page: https://eflows4hpc.eu/
Organisms: Not specified
It explores the modelling of natural catastrophes – in particular, earthquakes and their associated tsunamis shortly after such an event is recorded.
Space: eFlows4HPC
Public web page: https://eflows4hpc.eu/pillars/
Organisms: Not specified