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Programme

 

Morning 8:00 - 11:00Afternoon 15:00 - 18:00 Evening
So 10.3. -

18:00  Icebreaker/Dinner

Preparation of virtual boxes
Mo 11.3.

Python Essentials + Practicals: (Hosseini)

Python Essentials - numpy, scipy, matplotlib + Practicals (Hosseini, Wassermann)

Tue 12.3. ObsPy Essentials and Exercises (Krischer, Hosseini) ObsPyDMT Presentation -  Advanced ObsPy Exercise: Data processing and analysis workflow (Krischer, Hosseini) Bogner Ski night (movies)
Wed 13.3. Spectral element simulations with ses3d (Igel, Mauerberger) Free afternoon
Thu 14.3. Seishub: Introduction (Krischer) Seishub Applications: data base creation, seismic events, simulation data, visualization (Krischer, Wassermann, Mauerberger) Mould wine
Fri 15.3. Seishub: Applications (Krischer, Wassermann) Departure

Suggested Reading:

ObsPy, Python

Beyreuther, Moritz, Robert Barsch, Lion Krischer, Tobias Megies, Yannik Behr, and Joachim Wassermann (2010), ObsPy: A Python Toolbox for Seismology, SRL, 81(3), 530-533, doi:10.1785/gssrl.81.3.530

Megies, Tobias, Moritz Beyreuther, Robert Barsch, Lion Krischer, and Joachim Wassermann (2011), ObsPy - What Can It Do for Data Centers and Observatories?, Annals Of Geophysics, 54(1), 47-58, doi:10.4401/ag-4838.

Seishub

Barsch, Robert (2009): Web-based technology for storage and processing of multi-component data in seismology: First steps towards a new design. Dissertation, LMU München: Fakultät für Geowissenschaften. (http://edoc.ub.uni-muenchen.de/11043)

www - Resources: Seishub - basis;   How to extend seishub?

Spectral Element simulations

Fichtner, A., 2010, Full Waveform Tomography and adjoint methods in seismology (Advances in Geophysical and Environmental Mechanics and Math), Springer Berlin

Fichtner, A. H. Igel, 2008. Efficient numerical surface wave propagation through the optimization of discrete crustal models - a technique based on non-linear dispersion curve matching, Geophysical Journal International, 173, 519-533, doi: 10.1111/j.1365-246X.2008.03746.x

A recent version with python-based  processing and paraview-based visualization tools will be provided at the winter school.