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| Titel |
Synthetic seismogram web service and Python tools |
| VerfasserIn |
Sebastian Heimann, Simone Cesca, Marius Kriegerowski, Torsten Dahm |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250095026
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| Publikation (Nr.) |
 EGU/EGU2014-10466.pdf |
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| Zusammenfassung |
| Many geophysical methods require knowledge of Green’s functions (GF) or synthetic
seismograms in dependence of ranges of source and receiver coordinates. Examples include
synthetic seismogram generation, moment tensor inversion, the modeling of depth phases for
regional and teleseismic earthquakes, or the modeling of pressure diffusion induced static
displacement and strain.
Calculation of Green’s functions is a computationally expensive operation and it can be of
advantage to calculate them in advance: the same Green’s function traces can then be reused
several or many times as required in a typical application. Regarding Green’s function
computation as an independent step in a use-case’s processing chain encourages to
store these in an application independent form. They can then be shared between
different applications and they can also be passed to other researchers, e.g. via a web
service.
Starting now, we provide such a web service to the seismological community
(http://kinherd.org/), where a researcher can share Green’s function stores and retrieve
synthetic seismograms for various point and extended earthquake source models for many
different earth models at local, regional and global scale.
This web service is part of a rich new toolset for the creation and handling of Green’s
functions and synthetic seismograms (http://emolch.github.com/pyrocko/gf). It can be used
off-line or in client mode. Its core features are:
greatly simplified generation of Green’s function stores
supports various codes for Green’s function computation
extensible Green’s function storage format
flexible spacial indexing of Green’s functions
integrated travel time computation
support for other types of Green’s functions; e.g. poro-elastic GFs
written in Python |
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