Adaptive numerical modeling of atmospheric moist convection (MetStröm-project 2008 – 2012)

Warm air bubble at t=600s with adaptively refined triangular mesh

Theoretical understanding and numerical modeling of atmospheric moist convection still pose great challenges to meteorological research. One of the difficulties is the multi-scale nature of the phenomena involved. For the first time adaptive methods of scientific computing are applied in our project to model the interaction of diverse scales of cloud dynamics. Starting point for the development were preliminary studies of the involved scientists in meteorological modeling as well as adaptive mesh techniques. Both streams of development were joined in this project. Therefore a new numerical model was implemented (see model-webpage). As a next step moisture will be included and extended to the full 3D case. The key application is the mixing-induced bouyancy reversal. The project belongs to the priority programMetStröm of the Deutsche Forschungsgemeinschaft (German Research Foundation).

Prof. Jörn Behrens, Dipl.-Math. Oliver Kunst

KlimaCampus, University of Hamburg (Germany)

Prof. Volkmar Wirth, Dipl.-Phys. Andreas Müller

Institute for Atmospheric Physics, Johannes Gutenberg-University Mainz (Germany)

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current address

Dr. Andreas Müller
European Centre for Medium-
Range Weather Forecasts (ECMWF)
Research Department
Shinfield Park
Reading, Berkshire, RG2 9AX, UK

about me

I am working as a scientist at the European Centre for Medium-Range Weather Forecasts (ECMWF) on developing energy efficient scalable numerical methods towards weather prediction on exascale supercomputers. On this website you can find some of my results and some of my teaching material which I developed for lectures given in the past years.

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