气候变化领域集成服务门户(CCPortal): Kilometer-scale climate models: Prospects and challenges

CCPortal

DOI	10.1175/BAMS-D-18-0167.1
	Kilometer-scale climate models: Prospects and challenges
	Schär C.; Fuhrer O.; Arteaga A.; Ban N.; Charpilloz C.; Di Girolamo S.; Hentgen L.; Hoefler T.; Lapillonne X.; Leutwyler D.; Osterried K.; Panosetti D.; Rüdisühli S.; Schlemmer L.; Schulthess T.C.; Sprenger M.; Ubbiali S.; Wernli H.
发表日期	2020
ISSN	00030007
起始页码	E567
结束页码	E587
卷号	101 期号:5
英文摘要	Currently major efforts are underway toward refining the horizontal resolution (or grid spacing) of climate models to about 1 km, using both global and regional climate models (GCMs and RCMs). Several groups have succeeded in conducting kilometer-scale multiweek GCM simulations and decadelong continental-scale RCM simulations. There is the well-founded hope that this increase in resolution represents a quantum jump in climate modeling, as it enables replacing the parameterization of moist convection by an explicit treatment. It is expected that this will improve the simulation of the water cycle and extreme events and reduce uncertainties in climate change projections. While kilometer-scale resolution is commonly employed in limited-area numerical weather prediction, enabling it on global scales for extended climate simulations requires a concerted effort. In this paper, we exploit an RCM that runs entirely on graphics processing units (GPUs) and show examples that highlight the prospects of this approach. A particular challenge addressed in this paper relates to the growth in output volumes. It is argued that the data avalanche of high-resolution simulations will make it impractical or impossible to store the data. Rather, repeating the simulation and conducting online analysis will become more efficient. A prototype of this methodology is presented. It makes use of a bit-reproducible model version that ensures reproducible simulations across hardware architectures, in conjunction with a data virtualization layer as a common interface for output analyses. An assessment of the potential of these novel approaches will be provided. © 2020 American Meteorological Society.
语种	英语
scopus关键词	Climate change; Computer graphics; Graphics processing unit; Program processors; Weather forecasting; Climate change projections; Data virtualization; Explicit treatments; Hardware architecture; High resolution simulations; Horizontal resolution; Numerical weather prediction; Regional climate models; Climate models
来源期刊	Bulletin of the American Meteorological Society
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/177888
作者单位	Atmospheric and Climate Science, ETH Zürich, Zürich, Switzerland; University of Innsbruck, Innsbruck, Austria; German Weather Service (DWD), Offenbach, Germany; Federal Office of Meteorology and Climatology MeteoSwiss, Zürich, Switzerland; Climate Modeling, Vulcan Inc., Seattle, United States; Computer Science, ETH Zürich, Zürich, Switzerland; Max Planck Institute for Meteorology, Hamburg, Germany; Center for Climate Systems Modeling, ETH Zürich, Zürich, Switzerland; Institute for Theoretical Physics, ETH Zürich, Zürich, Switzerland; Swiss National Supercomputing Center, Lugano, Switzerland
推荐引用方式 GB/T 7714	Schär C.,Fuhrer O.,Arteaga A.,et al. Kilometer-scale climate models: Prospects and challenges[J],2020,101(5).
APA	Schär C..,Fuhrer O..,Arteaga A..,Ban N..,Charpilloz C..,...&Wernli H..(2020).Kilometer-scale climate models: Prospects and challenges.Bulletin of the American Meteorological Society,101(5).
MLA	Schär C.,et al."Kilometer-scale climate models: Prospects and challenges".Bulletin of the American Meteorological Society 101.5(2020).