超级计算机技术作为气候时间尺度高分辨率大气模拟的工具

V. Platonov, M. Varentsov
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引用次数: 3

摘要

对近期和未来气候变化的估计是现代地球科学中最重要的挑战。数值气候模式是这一研究领域的重要工具。然而,模拟结果对模型的空间分辨率高度敏感。大多数气候变化研究利用网格单元大小为数十公里或更大的全球大气模式。高分辨率中尺度模式更加详细,但需要更多的计算资源。这种高分辨率模式在气候研究中的应用通常受到区域模拟和相对较短时间跨度的限制。本文讨论了基于中尺度模式的长期区域气候研究的经验。以城市气候研究和极端风评估为例,我们展示了在现代超级计算机上进行的长期高分辨率模拟的主要优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Supercomputer Technologies as a Tool for High-resolution Atmospheric Modelling towards the Climatological Timescales
Estimation of the recent and future climate changes is the most important challenge in the modern Earth sciences. Numerical climate models are an essential tool in this field of research. However, modelling results are highly sensitive to the spatial resolution of the model. The most of the climate change studies utilize the global atmospheric models with a grid cell size of tens of kilometres or more. High-resolution mesoscale models are much more detailed, but require significantly more computational resources. Applications of such high-resolution models in climate studies are usually limited by regional simulations and by relatively short timespan. In this paper we consider the experience of the long-term regional climate studies based on the mesoscale modelling. On the examples of urban climate studies and extreme wind assessments, we demonstrate the principle advantage of long-term high-resolution simulations, which were carried out on the modern supercomputers.
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