- Journal Article
Rights / licenseCreative Commons Attribution 3.0 Unported
Data acquisition by seismic centers relies on real-time systems, like SeisComP3, Antelope and Earthworm. However, these are complex systems that are designed for fast and precisely defined standard real-time analyses. Therefore, it is not a simple task to access or modify internal routines, and to integrate them into custom-processing workflows or to perform in-depth data analyses. Often a library is necessary that provides convenient access to data and allows easy control over all of the operations that are to be performed on the data. ObsPy is such a library, which is designed to access and process seismological waveform data and metadata. We use short and simple examples here to demonstrate how effective it is to use Python for seismological data analysis. Then, we illustrate the general capabilities of ObsPy, and highlight some of its specific aspects that are relevant for seismological data centers and observatories, through presentation of real-world examples. Finally, we demonstrate how the ObsPy library can be used to develop custom graphical user interface applications. Show more
Journal / seriesAnnals of Geophysics
Pages / Article No.
SubjectWaves and wave analysis; Instruments and techniques; Data processing; Algorithms and implementation; Seismological data
Organisational unit03971 - Fichtner, Andreas / Fichtner, Andreas
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