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[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:
- Meteorological Data. Typically derived from global, regional, or local-scale models, meteorological data drive the transport and deposition of volcanic particles.
- 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
Type: COMPSs
Creators: Louise Cordrie, Giovanni Macedonio, Antonio Costa, Roberto Spina, Francesco Zuccarello, Gaetana Ganci, Annalisa Cappello
Submitter: Louise Cordrie
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 ...
Type: Common Workflow Language
Creators: Maren Böse, Savas Ceylan, Johannes Kemper
Submitter: Johannes Kemper