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
Finite volume code for simulating flow for a Hershel-Bulkley fluid
The global 1 min sea-level dataThe global 1 min sea-level dataset-MISELA is encompassing quality-checked records of nonseismic sea-level oscillations at tsunami timescales (T < 2 h) obtained from 331 tide-gauge sites.
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.
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