Pillar 3
Numerical models
Services
AdrISC_MTsurrogate
Stochastic assessment of meteotsunami hazard.
Hosted by: IRB, Croatia.
Summary
Code to generate meteotsunami-driven at sensitive harbour locations in the Adriatic Sea depending on 7 stochastic variables.
AmpFact
Amplification factor method.
Hosted by: NGI, Norway
Summary
Database and scripts for provision of tsunami amplification factors for rapidly determining tsunami inundation height uncertainty.
ANTI:FASc
Numerical computation of stochastic slip distributions.
Hosted by: UniNA, Italy
Summary
A platform 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).
BingClaw
Finite volume code for simulating flow for a Hershel-Bulkley fluid.
Hosted by: NGI, Norway
Summary
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.
k223d
Numerical model for simulating stochastic slip on non-planar faults.
Hosted by: Ifremer, France.
Summary
Programme that rapidly generates stochastic fractal slip distributions on non-planar faults which are represented by an unstructured mesh.
Landslide HySEA
Numerical model of the HySEA family designed for landslide generated tsunami simulations.
Hosted by: UMA, Spain.
Summary
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.
Tsunami Hy-SEA
Numerical model of the HySEA family designed for quake generated tsunami simulations.
Hosted by: UMA, Spain.
Summary
Fully non-linear shallow water model implemented in multi-GPU architectures for running in much FTRT computing times initially developed to be integrated inTEWS (generation plus propagation). Two-way nested meshes are also available for high-resolution inundation simulations and a dispersive version of the code is also available. Code extensively tested and validated for tsunami simulations.
EasyWave
Application to simulate tsunami generation and propagation in the context of early warning.
Hosted by: GFZ, Germany
Summary
Application to simulate tsunami generation and propagation in the context of early warning.
matPTF
Computation tools for PTF based on pre-computed tsunami DBs.
Hosted by: INGV, Italy.
Summary
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.
NEAMBP
Tsunami model benchmarking in the NEAM region.
Hosted by: UMA, Spain.
Summary
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.
ChEESE FTRT
Workflow devoted to tsunami simulations in the framework of the ChEESE project.
Hosted by: UMA, Spain.
Summary
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.
ChEESE PTHA
Workflow devoted to local tsunami hazard in the framework of the ChEESE project.
Hosted by: NGI, Norway.
Summary
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.
ChEESE PTF
Workflow devoted to probabilistic tsunami forecasting in the framework of the ChEESE project.
Hosted by: INGV, Italy.
Summary
Workflow devoted to probabilistic tsunami forecasting in the framework of the ChEESE project.