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Journal Article

The Tsunami Scenario Database of the Indonesia Tsunami Early Warning System (InaTEWS): Evolution of the Coverage and the Involved Modeling Approaches

Authors

Harig,  Sven
External Organizations;

Immerz,  Antonia
External Organizations;

Weniza, 
External Organizations;

Griffin,  Jonathan
External Organizations;

Weber,  Bernd
External Organizations;

/persons/resource/babeyko

Babeyko,  A. Y.
2.5 Geodynamic Modelling, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Rakowsky,  Natalja
External Organizations;

Hartanto,  Dwi
External Organizations;

Nurokhim,  Arif
External Organizations;

Handayani,  Tri
External Organizations;

Weber,  Rikki
External Organizations;

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Citation

Harig, S., Immerz, A., Weniza, Griffin, J., Weber, B., Babeyko, A. Y., Rakowsky, N., Hartanto, D., Nurokhim, A., Handayani, T., Weber, R. (2020): The Tsunami Scenario Database of the Indonesia Tsunami Early Warning System (InaTEWS): Evolution of the Coverage and the Involved Modeling Approaches. - Pure and Applied Geophysics, 177, 3, 1379-1401.
https://doi.org/10.1007/s00024-019-02305-1


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_4586893
Abstract
This study reports on recent developments of the Indonesia Tsunami Early Warning System (InaTEWS), specifically the tsunami modeling components used in the system. It is a dual system: firstly, InaTEWS operates a high-resolution scenario database pre-computed with the finite element model TsunAWI; running in parallel, the system also contains a supra real-time modeling component based on the GPU-parallelized linear long-wave model easyWave, capable of dealing with events outside the database coverage. The evolution of the tsunami scenario database over time is covered in the first sections also touching on the involved capacity building efforts. Starting with a coverage of just the Sunda Arc region, the database now includes scenarios for 15 fault zones. The study is augmented by an investigation of warning products used for early warning; the estimated wave height (EWH) and the estimated time of arrival (ETA). These parameters are determined by easyWave and TsunAWI with model specific approaches. Since the numerical setup of the two models is very different, the extent of variations in warning products is investigated for a number of scenarios, where both pure database scenarios and applications to real events are considered. Finally, the performance of the system in past tsunami events is reviewed to point out major system updates.