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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 7
Nat. Hazards Earth Syst. Sci., 10, 1617–1627, 2010
https://doi.org/10.5194/nhess-10-1617-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: The GITEWS Project (German-Indonesian Tsunami Early Warning...

Nat. Hazards Earth Syst. Sci., 10, 1617–1627, 2010
https://doi.org/10.5194/nhess-10-1617-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.

  26 Jul 2010

26 Jul 2010


Source modeling and inversion with near real-time GPS: a GITEWS perspective for Indonesia

A. Y. Babeyko, A. Hoechner, and S. V. Sobolev A. Y. Babeyko et al.
  • Deutsches GeoForschungsZentrum GFZ, Section 2.5, Potsdam, Germany

Abstract. We present the GITEWS approach to source modeling for the tsunami early warning in Indonesia. Near-field tsunami implies special requirements to both warning time and details of source characterization. To meet these requirements, we employ geophysical and geological information to predefine a maximum number of rupture parameters. We discretize the tsunamigenic Sunda plate interface into an ordered grid of patches (150×25) and employ the concept of Green's functions for forward and inverse rupture modeling. Rupture Generator, a forward modeling tool, additionally employs different scaling laws and slip shape functions to construct physically reasonable source models using basic seismic information only (magnitude and epicenter location). GITEWS runs a library of semi- and fully-synthetic scenarios to be extensively employed by system testing as well as by warning center personnel teaching and training. Near real-time GPS observations are a very valuable complement to the local tsunami warning system. Their inversion provides quick (within a few minutes on an event) estimation of the earthquake magnitude, rupture position and, in case of sufficient station coverage, details of slip distribution.

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