Gastvortrag von Herrn Prof. Hans-Peter Bunge


Gastvortrag von Herrn Prof. Hans-Peter Bunge

Am Montag, dem 19.12.2005 um 16.00 Uhr hält

Herr Prof. Hans-Peter Bunge (Ludwig-Maximilians-Universität München)

einen Gastvortrag über das Thema

Mantel convection models with variational data assimilation: Inferring past structure and flow from seismic tomography and plate motion histories

Der Vortrag findet im Hörsaal 2107 im Gebäude 35 auf dem Campus der Universität der Bundeswehr München in Neubiberg statt.


In this talk I will present computational methods to reconstruct the internal heterogeneity structure of the Earth back into its recent geologic past. The approach is only beginning to become feasible due to rapid advances on three related fronts: 1) well-known inverse formalisms (history matching) capable of constraining complex flow structures back in time, 2) increasingly realistic images of the internal structure of the Earth, 3) dramatic growth in computational power, aided in recent years primarily by cost-efficient, off-the-shelf distributed computing. The latter is essential to handle the complexity embedded in modern global models of the Earth's dynamic interior.

I will present synthetic examples to demonstrate how planetary heterogeneity structure may be restored back into the Cretaceous geologic period some 100 million years ago, a time when Dinosaurs roamed the Earth. I will discuss the broader geologic significance of this result, which includes continental landscape evolution and implications for the magnetic reversal behavior of the Earth's core. I will conclude by emphasising the important role of modern high performance computing for progress in geophysical research.

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Hans-Peter Bunge is chair of geophysics at Munichs Ludwig Maximilians University. He served on the Princeton Faculty at the Department of Geosciences for 4 years. Prior to his Princeton employment he spent a European Union postdoctoral year at the Institute de Physique du Globe in Paris. He completed the majority of his Berkeley PhD at Los Alamos National Laboratory, where his graduate work was supported by the Institute of Geophysics and Planetary Physics (IGPP) and the Advanced Computing Laboratory (ACL).