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).

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).

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).

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).

[DTC-T1] WF6101: Tsunami impact forecasting

This repository contains a Common Workflow Language (CWL) and Ro-Crate metadata definition for DTC-T1 workflow 6101, which is designed for providing tsunami impact forecasting following a tsunamigenic earthquake event, based on a probabilistic approach. The workflow integrates real-time earthquake data, runs HPC simulations, and generates tsunami hazard maps.

The main CWL implementation is found in WF6101.cwl, together with ST610106 and ST610109 ...

The workflow DT-AGEF4 will produce seismic hazard maps related to the nearfuture anthropogenic seismicity (induced or triggered seismicity). The anthropogenic seismicity hazard maps will be related to the time-varying technological factors. The rationales behind the proposed workflow are (Lasocki, S., Proc. Sixth Int. Symp. on Rockburst and Seismicity in Mines, 2005; Lasocki, S. and Orlecka-Sikora, B., Tectonophys., 2008; Orlecka-Sikora, B., Tectonophys., 2008; Lasocki, S., Rockburst Mechanisms, ...

The workflow will primarily focus on estimation of the maximum magnitude using various deterministic and statistical models available in the literature. The workflow consists of 5 steps. The first four steps belong to the CB-AGEF1 and ultimately aim at creation of the advanced seismic catalog. The last 5th step (belonging to the CBAGEF3-1) takes the available hydraulic data and advanced seismicity catalog derived in steps 1-4 and performs the actual assessment of the maximum magnitude. Step 1 is ...

The advanced earthquake catalog is built from existing applications on the EPISODES platform (steps 1, 3, 4) and a newly developed application for phase association (step 2) and an application for catalog homogenization (step 5).

The advanced earthquake catalog is built from existing applications on the EPISODES platform (step 1,3, 4 in Figure 4.2) and a newly developed application for phase association (step 2) and an application for catalog homogenization (step 5). The last application is designed to facilitate the creation of a homogenized earthquake catalog, ensuring consistency across key parameters such as location (X, Y, Z), time (T), and magnitude (M). This is achieved by standardizing various magnitude measurements, ...

Forecasting the atmospheric dispersal of volcanic products requires accurate input parameters for transport models, including meteorological data and ash/gas emission terms. Such forecasting builds upon three basic ingredients:

1. Meteorological Data. Typically derived from global, regional, or local-scale models, meteorological data drive the transport and deposition of volcanic particles.
2. Transport Models. These models simulate atmospheric dispersal, incorporating processes such as wind ...

Active volcanoes often host settlements in their vicinity, exposing populations to geohazards related to their activity, in particular during unrest phases, when the potential for eruption is higher. Mount Etna is one of the most active volcanoes worldwide, closely monitored by a sophisticated network, and surrounded by several villages and the city of Catania. While the frequent summit activity, characterized by lava fountains and ash-rich plumes, poses a significant hazard to civil aviation, ...

PyCOMPSs DT-LAVA-WF (Lava flow digital twin component DTCV3) run in linux, local laptop experiment test

The DTC-V4 workflow (WF5401) relies on an atmospheric dispersion model to build the relationship between the plume height and SO2 flux (which taken together are called Eruption Source Parameters, or ESPs) and the SO2 ground concentrations. Here we use FALL3D dispersion model, however as the HMC scheme requires many thousands of forward runs we replace it with an Emulator, a function that approximates the model but runs much faster. So far, a simple interpolate-scale-sum emulator that makes use ...

Overview

This workflow generates evolutionary ShakeMaps by combining multiple parametric data sources: event alerts, automatic and manual peak motions, and crowdsourced felt reports.

It integrates pyFinDer, FinDer, ShakeMap, RRSM, and EMSC to continuously update ground motion maps as new information arrives.

In its full configuration, WF7602 is also capable of:

• Sending event alerts for each ShakeMap update.

Note: In this distribution, the alerting feature is ...

Overview

This workflow produces synthetic shaking simulations for historical earthquake events. It integrates SeisComP, FinDer, and the Swiss, Italian, and European ShakeMap implementation to process continuous seismic data, estimate rupture parameters, and generate evolutionary shake maps.

In its full configuration, WF7601 is also capable of:

• Sending event alerts when specific trigger conditions are met.
• Pushing generated ShakeMaps to an external web portal for ...

Overview

This repository contains the Common Workflow Language (CWL) and RO-Crate metadata definition for WF7403, the Rupture Forecast workflow of DTC-E4, developed under the DT-GEO project.

The WF7403 workflow performs physics-based dynamic rupture simulations to generate a catalog of rupture scenarios for a given fault system. For each scenario, the workflow computes synthetic data such as ground motions, static displacements, and moment-rate ...

Overview

This repository contains the Common Workflow Language (CWL) and RO-Crate metadata definition for WF7402, the Kinematic Inversion workflow of DTC-E4, developed under the DT-GEO project.

The WF7402 workflow performs automatic kinematic source inversion using seismic and geodetic data to produce slip models and kinematically-informed dynamic rupture simulations. It integrates multiple data sources and inversion tools to reconstruct the ...

Overview

This repository contains the Common Workflow Language (CWL) and RO-Crate metadata definition for WF7401, the Dynamic Source Inversion workflow of DTC-E4, developed under the DT-GEO project.

The WF7401 workflow performs dynamic source inversion of earthquakes using seismic and geodetic data. It prepares input data, executes high-performance computing (HPC) inversions, and extracts rupture models to characterize the physical parameters of ...

Overview

This repository contains the Common Workflow Language (CWL) and RO-Crate metadata definition for WF7301, the Ground Motion Data Processing and Hazard Product Generation workflow of DTC-E3, developed under the DT-GEO project.

The WF7301 workflow automates the collection, processing, and validation of ground motion data to produce updated hazard and risk products. It integrates observational datasets with computational tools for model ...

Overview

This repository contains the Common Workflow Language (CWL) and RO-Crate metadata definition for WF7202, the Short-Term Earthquake Forecasting (STEF) workflow of DTC-E2, developed under the DT-GEO project.

The WF7202 workflow generates short-term earthquake forecasts by combining real-time and high-resolution seismic event catalogs with the Epidemic-Type Aftershock Sequence (ETAS) model. It enables dynamic, data-driven forecast updates ...

Overview

This repository contains the Common Workflow Language (CWL) and RO-Crate metadata definition for WF7201, the AI-based Seismic Catalogue Generation workflow of DTC-E2, developed under the DT-GEO project.

WF7201 integrates advanced machine learning models for seismic signal detection and catalog generation within a unified, scalable computational framework. It builds upon QuakeFlow — a deep-learning-based ...

Overview

This repository contains the Common Workflow Language (CWL) and RO-Crate metadata definition for WF7104, the Computational Risk workflow of DTC-E1, developed under the DT-GEO project.

The WF7104 workflow performs seismic risk computations, transforming seismic hazard results into quantifiable risk metrics such as loss maps and loss curves. It integrates outputs from the Computational Hazard Workflow (WF7103) with exposure and ...

Overview

This repository contains the Common Workflow Language (CWL) and RO-Crate metadata definition for WF7103, the Computational Hazard workflow of DTC-E1, developed under the DT-GEO project.

The WF7103 workflow performs probabilistic seismic hazard computations by combining seismogenic source models with computational hazard software. It integrates outputs from the Seismogenic Source Models Workflow (WF7102) and base datasets such as the ...

Overview

This repository contains the Common Workflow Language (CWL) and RO-Crate metadata definition for WF7102, the Seismogenic Source Models workflow of DTC-E1, developed under the DT-GEO project.

The WF7102 workflow is responsible for updating and generating the Seismogenic Source Model (SSM) by integrating multiple geological datasets. It processes outputs from the Data Input Workflow (WF7101) and combines them with additional model data ...