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Outcomes and challenges of global high-resolution non-hydrostatic atmospheric simulations using the K computer

机译:使用K计算机进行全球高分辨率非静压大气模拟的结果和挑战

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摘要

This article reviews the major outcomes of a 5-year (2011-2016) project using the K computer to perform global numerical atmospheric simulations based on the non-hydrostatic icosahedral atmospheric model (NICAM). The K computer was made available to the public in September 2012 and was used as a primary resource for Japan's Strategic Programs for Innovative Research (SPIRE), an initiative to investigate five strategic research areas; the NICAM project fell under the research area of climate and weather simulation sciences. Combining NICAM with high-performance computing has created new opportunities in three areas of research: (1) higher resolution global simulations that produce more realistic representations of convective systems, (2) multi-member ensemble simulations that are able to perform extended-range forecasts 10-30 days in advance, and (3) multi-decadal simulations for climatology and variability. Before the K computer era, NICAM was used to demonstrate realistic simulations of intra-seasonal oscillations including the Madden-Julian oscillation (MJO), merely as a case study approach. Thanks to the big leap in computational performance of the K computer, we could greatly increase the number of cases of MJO events for numerical simulations, in addition to integrating time and horizontal resolution. We conclude that the high-resolution global non-hydrostatic model, as used in this five-year project, improves the ability to forecast intra-seasonal oscillations and associated tropical cyclogenesis compared with that of the relatively coarser operational models currently in use. The impacts of the sub-kilometer resolution simulation and the multi-decadal simulations using NICAM are also reviewed.
机译:本文回顾了一个为期5年(2011-2016年)的项目的主要成果,该项目使用K计算机基于非静力学二十面体大气模型(NICAM)进行了全球大气数值模拟。 K计算机于2012年9月向公众提供,并被用作日本创新研究战略计划(SPIRE)的主要资源,该计划旨在调查五个战略研究领域; NICAM项目属于气候和天气模拟科学研究领域。将NICAM与高性能计算相结合在三个研究领域中创造了新的机遇:(1)更高分辨率的全局模拟,可以更真实地表示对流系统;(2)能够执行扩展范围预测的多成员总体模拟提前10到30天,以及(3)气候和变异性的多年代模拟。在K计算机时代之前,仅将NICAM用于演示包括Madden-Julian振荡(MJO)在内的季节内振荡的逼真模拟,仅作为一种案例研究方法。由于K计算机在计算性能上的巨大飞跃,除了整合时间和水平分辨率外,我们还可以大大增加用于数值模拟的MJO事件的数量。我们得出的结论是,与当前使用的相对较粗略的运营模型相比,此为期五年的项目中使用的高分辨率全球非静水模型提高了预测季节内振荡和相关热带气旋发生的能力。还回顾了使用NICAM进行的亚公里分辨率模拟和多年代模拟的影响。

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