SCIENTISTResearch Department, Earth System Modelling Section, Numerical Methods Grouppage tabs Profile Summary: Andreas Mueller is a scientist in the numerical methods group at ECMWF. Andreas is working in the ESCAPE project on developing energy efficient scalable algorithms for weather prediction at exascale. Professional interests: dynamical cores numerical methods spectral transform methods spectral element methods finite volume methods high performance computing physics-dynamics coupling code optimisation domain specific languages computer graphics and photorealistic visualisation adaptive mesh refinement Career background: Andreas did his MSc in physics. In his PhD he developed a computer model for the simulation of atmospheric moist convection that allowed to use adaptive mesh refinement. He finished his PhD in the group of Prof. Volkmar Wirth at the University of Mainz in Germany in 2012. After finishing his PhD he was a visiting fellow in the program "Multiscale Numerics for the Atmosphere and Ocean" at the Isaac Newton Institute for Mathematical Sciences in Cambridge, UK. In 2012, he received a four year grant by the National Research Council in Washington DC to work on optimizing the atmospheric model NUMA in the group of Prof. Francis X. Giraldo at the Naval Postgraduate School. Andreas moved to ECMWF in 2016. External recognitions: 2012-2016: four year grant by the National Research Council in Washington DC (USA) 2012: visiting fellow at the Isaac Newton Institute for Mathematical Sciences (Cambridge, UK) 2010-2012: junior member of Gutenberg Academy (Mainz, Germany) Publications Müller, A., M.A. Kopera, S. Marras, L.C. Wilcox, T. Isaac, F.X. Giraldo (2015): “Strong scaling for numerical weather prediction at petascale with the atmospheric model NUMA”, (submitted to the International Journal of High Performance Computing Applications), pre-print Marras, S., J.F. Kelly, M. Moragues, A. Müller, M.A. Kopera, M. Vázquez, F.X. Giraldo, G. Houseaux, O. Jorba (2015): “A review of element-based Galerkin methods for numerical weather prediction. Finite elements, spectral elements, and discontinuous Galerkin”, Archives of Computational Methods in Engineering 04/2015. DOI:10.1007/s11831-015-9152-1. pre-print Müller, A., and F.X. Giraldo (2015): “Towards numerical weather prediction at exascale with the dynamical core NUMA”, (in preparation) Yelash, L., A. Müller, M. Lukacova-Medvidova, F.X. Giraldo, and V. Wirth (2014): “Adaptive discontinuous evolution Galerkin method for dry atmospheric flow”, Journal of Computational Physics. 268C (2014) 106 – 133. Marras, S., A. Müller, and F. X. Giraldo (2014): “Physics-based stabilization of spectral elements for the 3D Euler equations of moist atmospheric convection”, Proceedings of ICOSAHOM 2014, Salt Lake City, UT, USA Marras, S., A. Müller, and F.X. Giraldo (2014): “An LES-like stabilization of the spectral element solution of the Euler equations for atmospheric flows”, Proceedings of the VI European Conference on Computational Fluid Dynamics ECCOMAS Müller, A., J. Behrens, F. X. Giraldo, and V. Wirth (2013): “Comparison between adaptive and uniform discontinuous Galerkin simulations in dry 2D bubble experiments”, Journal of Computational Physics. 235 (2013) 371 – 393. Müller, A. (2012): “Untersuchungen zur Genauigkeit adaptiver unstetiger Galerkin-Simulationen mit Hilfe von Luftblasen-Testfällen”, Ph.D. thesis (German pdf: https://d-nb.info/1024308030/34) Müller, A., J. Behrens, F. X. Giraldo, V. Wirth (2010): “An adaptive discontinuous Galerkin model for modeling cumulus clouds”, Proceedings of the V European Conference on Computational Fluid Dynamics ECCOMAS CFD 2010, ISBN: 978-989-96778-1-4 Müller, A. and V. Wirth (2009): “Resolution dependence of the tropopause inversion layer in an idealized model for upper tropospheric anticyclones”, Journal of the Atmospheric Sciences, Vol. 66, No. 11, pp. 3491–3497.