In 2005, the research group "Tsunami Modelling" was established as part of the BMBF-project "German-Indonesian Tsunami Early Warning System" (GITEWS). Nowadays, the tsunami modelling is part of the group "HPC and Data Processing".
The tsunami simulation code TsunAWI serves as a testbed for implementation techniques in ocean modelling, and is in operational use in the Indonesian tsunami early warning center and in projects.
The simulation code TsunAWI discretizes the non-linear shallow water equations with flooding and drying on an unstructured triangular mesh, which allows to highly resolve the coastal areas of interest. Initial conditions can be given as Okada parameters, the explicit initial uplift caused by the earthquake, or as an idealized source scaled according to the magnitude.
TsunAWI is available under the GPL (with the addition that users who modify the code are asked to report the modifications back). It is written in Fortran90 with MPI and OpenMP parallelization, and netcdf, binary, ascii, or raster output.
Source code: https://gitlab.awi.de/tsunawi
Documentation: https://tsunami.awi.de/
Contact
Source Code
https://gitlab.awi.de/tsunawi/tsunawi
Documentation
https://tsunami.awi.de/
After the devastating Indian Ocean Tsunami 2004, the BMBF-project "German-Indonesian Tsunami Early Warning System" was part of the German contribution to reconstruction and development. As there had been no system for early warning in the entire India Ocean, the project partners designed and built the state-of-the-art warning system step by step. In 2008, InaTEWS was inaugurated at the Indonesian Agency for Meteorology, Climatology and Geophysics (Badan Meteorologi, Klimatologi dan Geofisika, BMKG) and has since been operational. In 2011, it was fully handed over to Indonesia.
In the BMBF-"PROject for Training, Education and Consulting for Tsunami Early Warning Systems", training was provided to the technical and scientific staff in Indonesia to successfully and permanently maintain the tsunami early warning system.
In a project (2015-2017) supported by the Australian Government through the DMInnovation project, AWI facilitated BMKG to extend the area that is covered by precomputed scenarios to the North-East of the Indonesian Archipelago. The project was performed in collaboration with gempa GmbH.
AWI now provides maintenance and support on a yearly basis for BMKG in collaboration with gempa GmbH.
LEXIS 2019-2021
Large-scale EXecution for Industry & Society, https://lexis-project.eu/, funded by EU Horizon 2020.
RIESGOS 2018-2021, RIESGOS-2 2021-2024
Multi-risk analysis and information system components for the Andes region, https://www.riesgos.de/en/ funded by BMBF.