3rd Munich Earth Skience School

Berghotel Sudelfeld www.berghotel-sudelfeld.de March 10-15, 2013 DEADLINE FOR REGISTRATION IS FERUARY 1, 2013!

When Mar 10, 2013 12:00 am to Mar 15, 2013 12:00 am (UTC / UTC0)
Where Berghotel Sudelfeld
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Registration is now open. DEADLINE FOR REGISTRATION IS FERUARY 1, 2013!

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What a MESS! ObsPy meets archiving and simulation

How can we efficiently get and process seismic event data (large data sets) from distributed data centres?
How can we store seismological data and other information in a data base structure so that the information can be easily shared and is sustainable (e.g., beyond project duration)?
How can simulated data be formally integrated in seismological research projects, processing work flows, and visualization ?
How can we visualize geographical information related to seismological event information and actual waveforms (see snapshot of seishub application in the image to the right)?
How can we automate processing and storage of very large real and synthetic seismological data sets (e.g., for specific projects, field campaigns, seismic networks)?

Scope: In 2013 we will continue to offer training on the ObsPy python library (www.obspy.org) giving a general introduction, and discussing new features such as ObsPyDMT and others. A common problem in seismology is an efficient archiving of seismic event data or other information in a relational data base. We will offer an introduction to the SeisHub data base (www.seishub.org). More technically, SeisHub is a novel xml-sql hybrid database approach created for archiving, processing, and sharing geophysical data and meta data, particularly adapted for seismology. The simplest way to access the data base is therefore a www browser. Today, many projects in seismology involve the calculation of synthetic seismograms. Ideally, one should store and format these data in the same way as observations, to allow full integration in the data analysis and interpretation work flows. MESS 2013 will walk through such a complete cycle with data access, processing, storage and visualization tools based on the python language. This will be complemented by training on the use of a 3-D spectral element solver (ses3d) for the generation of synthetic seismograms.

MESS 2013 addresses researchers who deal with large seismological or seismic data sets on all scales and seek new ways of solving the data deluge problem. Basic knowledge about the python language and packages helps. Bring your own data! We invite participant to bring their own data and use the processing and archiving tools on these data during the practicals (and beyond). More info with references on the programme pages.

Lecturers, Tutors:
L. Krischer, K. Hosseini, S. Mauerberger, H. Igel, J. Wassermann