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气候与地球系统模型的计算未来:迈向千万亿次浮点运算及更高级别的征程。

The computational future for climate and Earth system models: on the path to petaflop and beyond.

作者信息

Washington Warren M, Buja Lawrence, Craig Anthony

机构信息

National Center for Atmospheric Research, 1850 Table Mesa Drive, Boulder, CO 80305, USA.

出版信息

Philos Trans A Math Phys Eng Sci. 2009 Mar 13;367(1890):833-46. doi: 10.1098/rsta.2008.0219.

Abstract

The development of the climate and Earth system models has had a long history, starting with the building of individual atmospheric, ocean, sea ice, land vegetation, biogeochemical, glacial and ecological model components. The early researchers were much aware of the long-term goal of building the Earth system models that would go beyond what is usually included in the climate models by adding interactive biogeochemical interactions. In the early days, the progress was limited by computer capability, as well as by our knowledge of the physical and chemical processes. Over the last few decades, there has been much improved knowledge, better observations for validation and more powerful supercomputer systems that are increasingly meeting the new challenges of comprehensive models. Some of the climate model history will be presented, along with some of the successes and difficulties encountered with present-day supercomputer systems.

摘要

气候和地球系统模型的发展历程漫长,始于构建单个的大气、海洋、海冰、陆地植被、生物地球化学、冰川和生态模型组件。早期的研究人员非常清楚构建地球系统模型的长期目标,该模型将通过增加交互式生物地球化学相互作用超越气候模型通常包含的内容。在早期,进展受到计算机能力以及我们对物理和化学过程的了解的限制。在过去几十年中,知识有了很大改进,有了更好的用于验证的观测数据,还有功能更强大的超级计算机系统,它们越来越能够应对综合模型带来的新挑战。本文将介绍一些气候模型的历史,以及当今超级计算机系统所取得的一些成功和遇到的困难。

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