Jörn Behrens

Prof. Dr. Jörn Behrens

Principal Investigator (external funding)


Universität Hamburg, Center for Earth System Research and Sustainability (CEN)
Department of Mathematics
Room 411
Grindelberg 5
20144 Hamburg

+49 40 42838 7734
+49 40 42838 7712

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Research interests

Numerical methods for ocean and atmosphere models, unstructured and adaptive mesh refinement, tsunami simulation, scientific computing

CliSAP Publications

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  • Behrens, J. (2018). A mathematics inspired notation of scales in the climate system. Geosciences, 8: UNSP 213. doi:10.3390/geosciences8060213.
  • Brecht, R., Bihlo, A., MacLachlan, S., & Behrens, J. (2018). A well-balanced meshless tsunami propagation and inundation model. Advances in Water Resources, 115, 273-285. doi:10.1016/j.advwatres.2017.12.013.
  • Behrens, J. (2016). Numerical methods and scientific computing for climate and geosciences. In W. König (Ed.), Mathematics and Society (pp. 281-293). Zürich: European Mathematical Society Publ. House. doi:10.4171/164-1/15.
  • Beisiegel, N., & 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.
  • Drähne, U., Goseberg, N., Vater, S., Beisiegel, N., & Behrens, J. (2016). An Experimental and Numerical Study of Long Wave Run-Up on a Plane Beach. Journal of Marine Science and Engineering, 4(1), 1-23. doi:10.3390/jmse4010001.
  • Wilkens, N., Behrens, J., Kleiner, T., Rippin, D., Rückamp, M., & 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.
  • Behrens, J. (2014). Towards real-time tsunami forecasting with efficient adaptive mesh methods and computing on demand strategies. In 20th International Conference on Computational Methods in Water Resources: Book of Abstracts (pp. 7).
  • Behrens, J., Bader, M., Breuer, A. N., Dalguer, L. A., Gabriel, A.-A., Barron, P. E. G., Pelties, C., Rahnema, K., & Vater, S. (2014). Advanced Simulation of Coupled Earthquake and Tsunami Events (ASCETE) - Latest Simulation Techniques for Tsunami Process Studies. In European Geoscience Union (EGU), General Assembly: Geophysical Research Abstracts (pp. EGU2014-3826-1).
  • Vater, S., & Behrens, J. (2014). Adaptive triangular discontinuous Galerkin schemes for tsunami propagation and inundation. In European Geoscience Union (EGU), General Assembly: Geophysical Research Abstracts (pp. EGU2014-12690).
  • Bauer, W. (2013). Toward goal-oriented R-adaptive models in geophysical fluid dynamics using a generalized discretization approach. PhD Thesis, Hamburg University, Hamburg. doi:10.17617/2.1668145.