Assessing the scales in numerical weather and climate predictions: will exascale be the rescue?
Assessing the scales in numerical weather and climate predictions: will exascale be the rescue?
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评估数值天气和气候预测的规模：百亿亿级能成为救援吗？
DOI：
10.1098/rsta.2018.0148
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
J. Biercamp
中科院分区：
文献类型：
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作者：
P. Neumann;P. Düben;P. Adamidis;P. Bauer;Matthias Brück;L. Kornblueh;D. Klocke;B. Stevens;N. Wedi;J. Biercamp
本文讨论了二十面体非静力（ICON）模式和综合预报系统（IFS）的三尺度全球天气气候模拟的科学特征和计算性能。可扩展性的测量和性能建模方法来获得性能估计这些模型上即将到来的exascale超级计算机。对模型数据的初步分析说明了高分辨率模型的重要性，有助于提高对流过程的准确性，更好地了解物理动力学相互作用以及重力波、对流和边界层等分辨率差或参数化的过程。这篇文章是“多尺度建模，模拟和计算：从桌面到exascale”主题的一部分。
We discuss scientific features and computational performance of kilometre-scale global weather and climate simulations, considering the Icosahedral Non-hydrostatic (ICON) model and the Integrated Forecast System (IFS). Scalability measurements and a performance modelling approach are used to derive performance estimates for these models on upcoming exascale supercomputers. This is complemented by preliminary analyses of the model data that illustrate the importance of high-resolution models to gain improvements in the accuracy of convective processes, a better understanding of physics dynamics interactions and poorly resolved or parametrized processes, such as gravity waves, convection and boundary layer. This article is part of the theme issue ‘Multiscale modelling, simulation and computing: from the desktop to the exascale’.