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Title: Three dimensional adaptive mesh refinement on a spherical shell for atmospheric models with lagrangian coordinates
Authors: Penner, Joyce E
Andronova, Natalia
Oehmke, Robert C
Brown, Jonathan
Stout, Quentin F
Jablonowski, Christiane
Leer, Bram van
Powell, Kenneth G
Herzog, Michael
Issue Date: 1-Jul-2007
Publisher: IOP Publishing Ltd
Citation: Penner, Joyce E; Andronova, Natalia; Oehmke, Robert C; Brown, Jonathan; Stout, Quentin F; Jablonowski, Christiane; Leer, Bram van; Powell, Kenneth G; Herzog, Michael (2007). "Three dimensional adaptive mesh refinement on a spherical shell for atmospheric models with lagrangian coordinates." Journal of Physics: Conference Series. 78(1): 012072 (5pp). <http://hdl.handle.net/2027.42/58181>
Abstract: One of the most important advances needed in global climate models is the development of atmospheric General Circulation Models (GCMs) that can reliably treat convection. Such GCMs require high resolution in local convectively active regions, both in the horizontal and vertical directions. During previous research we have developed an Adaptive Mesh Refinement (AMR) dynamical core that can adapt its grid resolution horizontally. Our approach utilizes a finite volume numerical representation of the partial differential equations with floating Lagrangian vertical coordinates and requires resolving dynamical processes on small spatial scales. For the latter it uses a newly developed general-purpose library, which facilitates 3D block-structured AMR on spherical grids. The library manages neighbor information as the blocks adapt, and handles the parallel communication and load balancing, freeing the user to concentrate on the scientific modeling aspects of their code. In particular, this library defines and manages adaptive blocks on the sphere, provides user interfaces for interpolation routines and supports the communication and load-balancing aspects for parallel applications. We have successfully tested the library in a 2-D (longitude-latitude) implementation. During the past year, we have extended the library to treat adaptive mesh refinement in the vertical direction. Preliminary results are discussed. This research project is characterized by an interdisciplinary approach involving atmospheric science, computer science and mathematical/numerical aspects. The work is done in close collaboration between the Atmospheric Science, Computer Science and Aerospace Engineering Departments at the University of Michigan and NOAA GFDL.
ISSN: 1742-6596
DOI: 10.1088/1742-6596/78/1/012072
Appears in Collections:Interdisciplinary and Peer-Reviewed
Atmospheric, Oceanic and Space Sciences, Department of (AOSS)
Electrical Engineering and Computer Science, Department of (EECS)

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