Jörn Behrens
Jörn Behrens
Professor for numerical methods in geosciences, University of Hamburg
Verified email at
Cited by
Cited by
Probabilistic tsunami hazard analysis: multiple sources and global applications
A Grezio, A Babeyko, MA Baptista, J Behrens, A Costa, G Davies, ...
Reviews of Geophysics 55 (4), 1158-1198, 2017
Coupled, physics-based modeling reveals earthquake displacements are critical to the 2018 Palu, Sulawesi tsunami
T Ulrich, S Vater, EH Madden, J Behrens, Y van Dinther, I Van Zelst, ...
Pure and Applied Geophysics 176, 4069-4109, 2019
Tsunami simulations on several scales: Comparison of approaches with unstructured meshes and nested grids
S Harig, Chaeroni, WS Pranowo, J Behrens
Ocean Dynamics 58, 429-440, 2008
Grid-free adaptive semi-Lagrangian advection using radial basis functions
J Behrens, A Iske
Computers & Mathematics with Applications 43 (3-5), 319-327, 2002
amatos: Parallel adaptive mesh generator for atmospheric and oceanic simulation
J Behrens, N Rakowsky, W Hiller, D Handorf, M Läuter, J Päpke, ...
Ocean modelling 10 (1-2), 171-183, 2005
Probabilistic tsunami hazard and risk analysis: A review of research gaps
J Behrens, F Løvholt, F Jalayer, S Lorito, MA Salgado-Gálvez, ...
Frontiers in Earth Science 9, 628772, 2021
A new multi-sensor approach to simulation assisted tsunami early warning
J Behrens, A Androsov, AY Babeyko, S Harig, F Klaschka, L Mentrup
Natural Hazards and Earth System Sciences 10 (6), 1085-1100, 2010
New computational methods in tsunami science
J Behrens, F Dias
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2015
A limiter-based well-balanced discontinuous Galerkin method for shallow-water flows with wetting and drying: One-dimensional case
S Vater, N Beisiegel, J Behrens
Advances in water resources 85, 1-13, 2015
Atmospheric and ocean modeling with an adaptive finite element solver for the shallow-water equations
J Behrens
Applied Numerical Mathematics 26 (1-2), 217-226, 1998
Parallelizing an unstructured grid generator with a space-filling curve approach
J Behrens, J Zimmermann
Euro-Par 2000 Parallel Processing: 6th International Euro-Par Conference …, 2000
The making of the NEAM tsunami hazard model 2018 (NEAMTHM18)
R Basili, B Brizuela, A Herrero, S Iqbal, S Lorito, FE Maesano, S Murphy, ...
Frontiers in Earth Science 8, 753, 2021
Memory efficient adaptive mesh generation and implementation of multigrid algorithms using Sierpinski curves
M Bader, S Schraufstetter, CA Vigh, J Behrens
International Journal of Computational Science and Engineering 4 (1), 12-21, 2008
Comparison between adaptive and uniform discontinuous Galerkin simulations in dry 2D bubble experiments
A Müller, J Behrens, FX Giraldo, V Wirth
Journal of Computational Physics 235, 371-393, 2013
Inversion of seismic data using tomographical reconstruction techniques for investigations of laterally inhomogeneous media
G Neumann-Denzau, J Behrens
Geophysical Journal International 79 (1), 305-315, 1984
Adaptive meshfree method of backward characteristics for nonlinear transport equations
J Behrens, A Iske, M Käser
Meshfree methods for partial differential equations, 21-36, 2003
An adaptive semi-Lagrangian advection scheme and its parallelization
J Behrens
Monthly weather review 124 (10), 2386-2395, 1996
Efficiency considerations in triangular adaptive mesh refinement
J Behrens, M Bader
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2009
Depth‐averaged non‐hydrostatic extension for shallow water equations with quadratic vertical pressure profile: equivalence to Boussinesq‐type equations
A Jeschke, GK Pedersen, S Vater, J Behrens
International Journal for Numerical Methods in Fluids 84 (10), 569-583, 2017
A parallel adaptive barotropic model of the atmosphere
M Läuter, D Handorf, N Rakowsky, J Behrens, S Frickenhaus, M Best, ...
Journal of Computational Physics 223 (2), 609-628, 2007
The system can't perform the operation now. Try again later.
Articles 1–20