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dc.contributor.authorMüller, Andreas
dc.contributor.authorBehrens, Jörn
dc.contributor.authorGiraldo, Francis X.
dc.contributor.authorWirth, Volkmar
dc.dateJune 14-17, 2010
dc.date.accessioned2015-06-30T22:13:01Z
dc.date.available2015-06-30T22:13:01Z
dc.date.issued2010-06
dc.identifier.citationV European Conference on Computational Fluid Dynamics, ECCOMAS CFD 2010 J. C. F. Pereira and A. Sequeira (Eds), Lisbon, Portugal,14-17 June 2010en_US
dc.identifier.urihttp://hdl.handle.net/10945/45478
dc.description.abstractTheoretical understanding and numerical modeling of atmospheric moist convection still pose great challenges to meteorological research. The present work addresses the following question: How important is mixing between cloudy and environmental air for the development of a cumulus cloud? A Direct Numerical Simulation of a single cloud is way beyond the capacity of today’s computing power. The use of a Large Eddy Simulation in combination with semi-implicit time-integration and adaptive techniques offers a significant reduction of complexity. So far this work is restricted to dry flow in two-dimensional geometry. The compressible Navier-Stokes equations are discretized using a discontinuous Galerkin method introduced by Giraldo and Warburton in 2008. Time integration is done by a semi-implicit backward difference. For the first time we combine these numerical methods with an h-adaptive grid refinement. This refinement of our triangular grid is implemented with the function library AMATOS and uses a space filling curve approach. Validation through different test cases shows very good agreement between the current results and those from the literature. For comparing different adaptivity setups we developed a new qualitative error measure for the simulation of warm air bubbles. With the help of this criterion we show that the simulation of a rising warm air bubble on a locally refined grid can be more than six times faster than a similar computation on a uniform mesh with the same accuracy.en_US
dc.description.sponsorshipFinancial support for this work was provided by the priority program MetStröm (SPP 1276) of the german research foundation (Deutsche Forschungsgemeinschaft). Francis X. Giraldo gratefully acknowledges the support of the Office of Naval Research through program element PE-0602435N.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleAn adaptive discontinuous Galerkin method for modeling cumulus cloudsen_US
dc.typeArticleen_US
dc.contributor.departmentApplied Mathematics
dc.subject.authorDiscontinuous Galerkinen_US
dc.subject.authorLarge Eddy Simulationen_US
dc.subject.authorAdaptiveen_US
dc.subject.authorMeteorologyen_US
dc.subject.authorCloudsen_US
dc.subject.authorSemi-Impliciten_US


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