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Towards an Efficient and Scalable Discontinuous Galerkin Atmospheric Model

机译:朝着高效且可扩展的不连续的Galerkin大气模型

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An efficient and scalable Discontinuous Galerkin shallow water model on the cubed sphere is developed by extending the transport scheme of Nair et al. [16]. The continuous flux form nonlinear shallow water equations in curvilinear coordinates are developed. Spatial discretization is a nodal basis set of Legendre polynomials. Fluxes along internal element interfaces are approximated by a Lax-Friedrichs scheme. A third-order total variation diminishing Runge-Kutta scheme is applied for time integration, without any filter or limiter. The standard shallow-water test suite of Williamson et al. [23] is used to validate the model. It is observed that the numerical solutions are accurate, the model conserves mass to machine precision, and there are no spurious oscillations in a test case where zonal flow impinges a mountain,. Development time was substantially reduced by building the model in the High Order Method Modeling Environment (HOMME) developed at the National Center for Atmospheric Research (NCAR). Performance and scaling data for the steady state geostrophic flow problem [23] is presented. Sustained performance in excess of 10% of peak is observed out to 64 processors on a Linux cluster.
机译:通过延长Nair等人的运输方案,开发了立方球体上的高效且可扩展的不连续的Galerkin浅水模型。 [16]。开发了曲线坐标中的连续通量形式非线性浅水方程。空间离散化是一组节点的传奇多项式。沿着内部元件界面的助熔剂由LAX-Friedrichs方案近似。应用三阶总变化递减runge-kutta方案用于时间集成,无需任何过滤器或限制器。 Williamson等人的标准浅水试验套件。 [23]用于验证模型。据观察,数值解决方案是准确的,模型节省了机器精度的质量,并且在一个测试用例中没有虚假的振荡,其中区域流动撞击山。通过在国家大气研究中心(NCAR)中开发的高阶法规建模环境(Homme)中建立模型,大大减少了开发时间。呈现稳态出色流动问题的性能和缩放数据[23]。在Linux群集上观察到超过10%的峰值的持续性能。

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