For the shortcourse, we don’t expect participants to have the code running, and can subsequently help with installation, but any prior familiarisation with the dependencies will of course be useful. Some of the dependent packages (eigen, boost, netcdf) might not be pre-installed on your systems, and have been known to cause trouble. Please install Docker ( ) and visit for the hands-on parts.įor the AxiSEM(3D) session, we will look at three software packages:įor AxiSEM3D, please refer to the installation instructions. If you would to run the practicals locally on your own computer, you will need an anaconda install, with a Python version 3+ environment with numpy, scipy and matplotlib. They can also be run in your browser through binder there. The Jupyter Notebooks for the practical exercises can be found on the SPIN github. Thanks to Dominik Strutz and Sebastian Noe for their support during the short course! Practicals Anjali Dhabu (University of Hamburg, Germany).Kuangdai Leng (Rutherford Appleton Laboratory, UK).Ben Fernando (University of Oxford, UK).Tarje Nissen-Meyer (University of Oxford, UK).The lectures have been recorded and are posted to the SPIN Youtube channel. The short course schedule can be found here. A solid grasp of Python and Obspy is therefore a prerequisite for participation in the short course. In addition to lectures and discussions, there will be practical exercises using Jupyer notebooks and Python. Discussion: bring along your wave modelling problem.Community solvers: Specfem, AxiSEM3D, Seissol. Spectral element method, finite volume method, discontinuous Galerkin method.Finite-difference method, pseudo-spectral methods, linear finite-element method.Fundamentals of wave propagation: wave equation, moment tensor, source time functions, reciprocity, Green’s functions.The main focus of this short course will be on computational seismology. SPIN Short Course 1 - Wave Propagation & Computational Seismology
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