Stochastic assessment of meteotsunami hazard
Code to generate meteotsunami-driven at sensitive harbour locations in the Adriatic Sea depending on 7 stochastic variables.
Hosted by: IRB, Croatia.
Amplification factor method
Database and scripts for provision of tsunami amplification factors for rapidly determining tsunami inundation height uncertainty.
Hosted by: NGI, Norway
Numerical computation of stochastic slip distributions
A Python software that generates sets of stochastic slip distributions on pre-determined fault geometries. It can be used both for PTHA (computing as many as possible scenarios for a specific region) and for PTF (computing scenarios compatible with a preliminary source characterization).
Hosted by: UniNA, Italy
Model for simulating dynamics of cohesive landslides
The primary objective of this service will be to equip scientists with advanced tools for simulating landslide dynamics in both subaerial and subaqueous conditions, both as a tool for simulating the landslide dynamics and its run-out distance, and also for generating tsunamis. This service is part of the candidate Thematic Core Service for tsunami and will be integrated into the Integrated Core Service Data Portal of the European Plate Observing System (EPOS).
Hosted by: NGI, Norway
Numerical model for simulating stochastic slip on non-planar faults
Programme that rapidly generates stochastic fractal slip distributions on non-planar faults which are represented by an unstructured mesh.
Hosted by: Ifremer, France.
Numerical model of the HySEA family designed for landslide generated tsunami simulations
This code implements a 2D coupled system composed of two models, one for the slide material represented by a Savage-Hutter type of model and the water dynamics model is represented by the fully non-linear shallow-water equations. A dispersive, weakly coupled version of the model is also available.
Hosted by: UMA, Spain
Application to simulate tsunami generation and propagation in the context of early warning
Application to simulate tsunami generation and propagation in the context of early warning.
Hosted by: GFZ, Germany
Computation tools for PTF based on pre-computed tsunami DBs
This Matlab suite of codes implements the Probabilistic Tsunami Forecasting (PTF) method based on pre-computed tsunami DBs. It is preset for using the DB developed by NEAMTHM18, implementing tsunami forecasts for near-field tsunami warning in the Mediterranean sea.
Tsunami model benchmarking in the NEAM region
Benchmarking web-page and dataset for (mostly) field test cases in the NEAM region for seismic and landslide generated tsunamis. Laboratory experiments not available anywhere else are also included.
Hosted by: UMA, Spain
Workflow devoted to tsunami simulations in the framework of the ChEESE project
This service will increase the size of the problems by increasing spatial resolution and/or producing longer simulations while still computing FTRT for TEWS including inundation for a particular target coastal zone.
Hosted by: UMA, Spain
Workflow devoted to local tsunami hazard in the framework of the ChEESE project
This service will leverage the existing TSUMAPS-NEAM hazard assessment for offshore tsunami hazard as input to local hazard on high resolution grids. The user may provide their own grids. For extensive use, this service will necessitate large scale HPC resources.
Hosted by: UMA, Spain
Workflow devoted to probabilistic tsunami forecasting in the framework of the ChEESE project
Workflow devoted to probabilistic tsunami forecasting in the framework of the ChEESE project.
Hosted by: INGV, Italy
Tsunami Time Series from linear combination of Precomputed Gaussian Elementary Sources
TS-GAUSS is a Virtual Access service which provides a rapid method to model tsunami propagation for a set of predefined points of interest (POIs) using a dataset of pre-calculated tsunami waveforms. This web application exploits the concept of the surface Green's functions described in Molinari et al., 2016, and consists of two consequent steps: (1) simulation of the initial tsunami conditions for an arbitrary seismic source and (2) linear combination of Gaussian-shaped elementary sources uniformly distributed across the Mediterranean Sea.
Hosted by: INGV, Italy