Prof. Dr. Jörn Behrens
Jörn Behrens
Jörn Behrens

Head of the Research Group
Numerical Methods in Geosciences
KlimaCampus, University of Hamburg

Welcome

Gaining insight in geo and climate sciences is closely related to demanding computer simulation, since we cannot use the world in which we live as a laboratory. It is my goal as an applied mathematician to contribute basic methods for supporting such simulations.

Research focus

Together with my group we develop numerical methods, which can represent multi-scale geophysical processes. These are for example:

  • adaptive three-dimensional fluid flow simulation of cloud formation processes
  • adaptive mesh generation for tsunami simulation

 

Contact

Am Grindelberg 5
20144 Hamburg, Germany

Room 411

Phone +49 - 40 - 42838 7734
Fax +49 - 40 - 42838 7712

Email joern.behrens@we dont want spamzmaw.de

 

Selected publications

  • Müller, A., Behrens, J., Giraldo, F.X., Wirth, V. (2013): Comparison between adaptive and uniform discontinuous Galerkin simulations in dry 2D bubble experiments, Journal of Computational Physics, 235:371-393. doi:10.1016/j.jcp.2012.10.038.
  • Androsov, A., Behrens, J., and Danilov, S. (2011): Tsunami Modelling with Unstructured Grids. Interaction between Tides and Tsunami Waves, in Computational Science and High Performance Computing IV (Eds. E. Krause, Y. Shokin, M. Resch, D. Kröner, and N. Shokina), Springer Berlin, Heidelberg, 115:191-206, doi:10.1007/978-3-642-17770-5_15.
  • Behrens, J., Androsov, A., Babeyko, A. Y., Harig, S., Klaschka, F. and Mentrup, L. (2010): A new multi-sensor approach to simulation assisted tsunami early warning, Nat. Hazards Earth Syst. Sci., doi:10.5194/nhess-10-1085-2010.
  • Behrens, J. and Bader, M. (2009): Efficiency Considerations in Triangular Adaptive Mesh Refinement, Phil. Trans. R. Soc. A, 367:4577-4589, doi:10.1098/rsta.2009.0175.
  • Harig, S., Chaeroni, Pranowo, W. S., and Behrens, J. (2008): Tsunami simulations on several scales: Comparison of approaches with unstructured meshes and nested grids, Ocean Dynamics, 58:429-440, doi:10.1007/s10236-008-0162-5.
  • Läuter, M., Handorf, D., Rakowsky, N., Behrens, J., Frickenhaus, S., Best, M., Dethloff, K., and Hiller, W. (2007): A Parallel Adaptive Barotropic Model of the Atmosphere, Journal of Computational Physics, 223:609-628, doi:10.1016/j.jcp.2006.09.029.

A complete list of publications

 

Short vita

  • since 2009 Professor for numerical methodes in geosciences, KlimaCampus, University of Hamburg
  • 2007-2009 Adjunct professor department of mathematics, University of Bremen
  • 2006-2009 Head of Tsunami Modeling Group, Alfred Wegener Institute, Bremerhaven
  • 1998-2006 Assistant Professor/Lecturer, Center for Mathematical Sciences, Technische Universität München
  • 2003-2004 Guest scientist at National Center for Atmospheric Research, Boulder, CO, USA
  • 1996-1998 Post-Doc, scientific computing, Alfred Wegener Institute, Bremerhaven
  • 1991-1996 PhD student, scientific computing, Alfred Wegener Institute, Bremerhaven