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A New Approach for Coupled Regional Climate Modeling Using More than 10,000 Cores

机译:一种新方法,用于使用超过10,000个核心耦合区域气候建模

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This paper describes an alternative method for coupling atmosphere-ocean regional climate models that communicates momentum, radiation, heat and moisture fluxes between the atmosphere and ocean every time-step, while scaling to more than 10,000 cores. The approach is based on the reversibly staggered grid, which possesses excellent dispersive properties for modeling the geophysical fluid dynamics of both the atmosphere and the ocean. Since a common reversibly staggered grid can be used for both atmosphere and ocean models, we can eliminate the coupling overhead associated with message passing and improve simulation timings. We have constructed a prototype of a reversibly staggered, atmosphere-ocean coupled regional climate model based on the Conformal Cubic Atmospheric Model, which employs a global variable resolution cube-based grid to model the regional climate without lateral boundary conditions. With some optimization, the single precision, semi-implicit, semi-Lagrangian prototype model achieved 5 simulation years per day at a global 13 km resolution using 13,824 cores. This result is competitive with state-of-the-art Global Climate Models than can use more than 100,000 cores for comparable timings, making CCAM well suited for regional modeling.
机译:本文介绍了一种偶然的耦合大气 - 海洋区域气候模型的替代方法,每次步骤,在大气和海洋之间传达动力,辐射,热量和水分助熔剂,同时缩放到10,000多个核心。该方法基于可逆交错的网格,其具有优异的分散性能,用于对大气和海洋的地球物理流体动力进行建模。由于常见的可逆交错的网格可用于气氛和海洋模型,因此我们可以消除与消息传递相关的耦合开销,并改善模拟定时。我们构建了一种基于保形立方体大气模型的可逆交错的大气耦合区域气候模型的原型,该模型采用全球变量分辨率基网格来模拟区域气候,没有横向边界条件。通过一些优化,单一精度,半隐式半拉格朗日原型模型在全球13公里的分辨率下实现了5年的5年,使用13,824核心。这一结果与最先进的全球气候模型具有竞争力,而不是可以使用超过100,000个核心进行可比定时,使CCAM适合区域建模。

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