Terra-Neo is a project on the Integrated Co-Design of an Exascale Earth Mantle Modeling Framework. It combines expertise from four renowned groups in Informatics, Numerics and Geophysics at FAU, TUM and LMU and is funded by DFG as part of the German Priority Programme 1648: Software for Exascale Computing (SPPEXA). For details on the project's goals, approach and partners please follow the link to the project's webpage.
Geophysics participitates in Project B2 of the Munich Centre of Advanced Computing (MAC). The goal of this project is to apply software engineering methods and tools to the field of Computational Science and Engineering. A challenging question as the software development process in science is significantly different from that in industrial/commercial applications for which these were primarily developed. [more]
The goal of Project: Flatland is to generate a mantle convection simulation code working on a 2D annulus. The motivation for this is three-fold. The code allows us to experiment with different Finite-Element discretisation strategies and numerical solution approaches for linear and non-linear problems arising in the context of variable-viscosity convection. Secondly we use it as a test-bed for advanced implementation concepts from Fortran 2003/2008. Last but not least is the geophysical application side which is to investigate different models and couplings of mineralogy and rheology inside Earth mantle.
The objective of ObsPy is to provide a Python toolbox for seismology that simplifies the usage of Python programming/scripting for seismologists. In ObsPy basic and essential seismological routines are implemented and ready to use: [more]
The data volumes in observational and computational seismology are rapidly expanding. This is due in part to ever increasing continuous data of global, regional, and local permanent station density, large scale experiments, and last not least, the increasingly important options to generate highly valuable simulation data that should be stored with the same priority than observations. [more]