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

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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.

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Acknowledgements

The database extension 2015-2017 was funded by the Australian Department of Foreign Affairs and Trade through the DMInnovation project. We are grateful to all involved colleagues at Geoscience Australia, BMKG, gempa GmbH and AWI for the fruitful collaboration. We would like to thank the Head of BMKG and the AWI data centre for their support. Jonathan Griffin and Rikki Weber publish with the permission of the CEO, Geoscience Australia. We would like to thank two reviewers for valuable suggestions leading to considerable improvements of the manuscript.

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Authors and Affiliations

  1. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany

    Sven Harig, Antonia Immerz & Natalja Rakowsky

  2. Badan Meteorologi Klimatologi dan Geofisika, BMKG, Jakarta, Indonesia

    Weniza, Dwi Hartanto, Arif Nurokhim & Tri Handayani

  3. Community Safety Branch, Geoscience Australia, Canberra, ACT, Australia

    Jonathan Griffin & Rikki Weber

  4. Department of Geology, University of Otago, Dunedin, New Zealand

    Jonathan Griffin

  5. Gempa GmbH, Potsdam, Germany

    Bernd Weber

  6. GFZ German Research Centre for Geosciences, Potsdam, Germany

    Andrey Babeyko

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  1. Sven Harig
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Harig, S., Immerz, A., Weniza et al. The Tsunami Scenario Database of the Indonesia Tsunami Early Warning System (InaTEWS): Evolution of the Coverage and the Involved Modeling Approaches. Pure Appl. Geophys. 177, 1379–1401 (2020). https://doi.org/10.1007/s00024-019-02305-1

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