CliSAP successfully finished in 2018. Climate research continues in the Cluster of Excellence "CLICCS".

Prof. Dr. Jörn Behrens

Head of the Research Group Numerical Methods in Geosciences
CliSAP/CEN, Universität Hamburg
Department of Mathematics, Universität Hamburg


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 two- and three-dimensional tracer dispersion
  • adaptive numerical methods for inundation and tsunami simulation
  • multi-scale representation of sub-grid processes in climate simulation


Am Grindelberg 5
20144 Hamburg, Germany

Room 411

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


Selected publications

  • Castro, C.E., Behrens, J., and Pelties, C. (2016): Optimization of the ADER-DG method in GPU applied to linear hyperbolic PDEs, Int. J. Numer. Meth. Fluids, 81(4)195-219, doi:10.1002/fld.4179.
  • Beisiegel, N. and Behrens, J. (2015): Quasi-nodal third-order Bernstein polynomials in a discontinuous Galerkin model for flooding and drying, Environmental Earth Sciences, 74(11):7275-7284, doi:10.1007/s12665-015-4745-4.
  • Wilkens, N., Behrens, J., Kleiner, T., Rippin, D., Rückamp, M., and Humbert, A. (2015): Thermal structure and basal sliding parametrisation at Pine Island Glacier – a 3-D full-Stokes model study, The Cryosphere, 9, 675–690, doi:10.5194/tc-9-675-2015.
  • 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/
  • 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.
  • 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/


  • Behrens, J. (2006): Adaptive Atmospheric Modeling - Key Techniques in Grid Generation, Data Structures, and Numerical Operations with Applications. Lecture Notes in Computational Science and Engineering, 54, Springer Verlag, Berlin, Heidelberg, doi:10.1007/3-540-33383-5.

A complete list of publications

Short vita

  • since 2009 Professor for numerical methodes in geosciences, KlimaCampus, Universität 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