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面向集合预报的高性能计算环境 被引量:2
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作者 刘灿灿 张卫民 +1 位作者 骆志刚 任开军 《计算机工程与科学》 CSCD 北大核心 2012年第2期87-92,共6页
集合预报中需要大量的高性能计算资源对海量数据进行实时分析和处理,高效的资源管理和数据共享将有效提高预报的效率和时效性。本文在分析集合预报的特点和需求的基础上,设计了基于元数据提取的海量数据管理方案和基于虚拟组织的高性能... 集合预报中需要大量的高性能计算资源对海量数据进行实时分析和处理,高效的资源管理和数据共享将有效提高预报的效率和时效性。本文在分析集合预报的特点和需求的基础上,设计了基于元数据提取的海量数据管理方案和基于虚拟组织的高性能计算资源管理方案,并采用网格技术对这些资源进行有效管理和共享,为分布在各个地域、不同组织的气象科学家提供一个高效共享的协同开发平台,达到有效提高预报结果的时效性并推动中尺度天气预报事业发展的目标。 展开更多
关键词 中尺度天气事件 集合预报 高性能计算 网格计算 元数据
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Possible linkage between winter extreme low temperature events over China and synoptic-scale transient wave activity 被引量:11
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作者 CHEN HaiShan LIU Lei ZHU YueJia 《Science China Earth Sciences》 SCIE EI CAS 2013年第7期1266-1280,共15页
Based on NECP/NCAR reanalysis data and daily temperature data of 743 stations in China, possible causes of winter extreme low temperature events are explored from the perspective of the synoptic-scale transient wave (... Based on NECP/NCAR reanalysis data and daily temperature data of 743 stations in China, possible causes of winter extreme low temperature events are explored from the perspective of the synoptic-scale transient wave (STW) activity. Results suggest that there is a close linkage between STW activity and extreme low temperature events. Firstly, case studies are carried out on the years with the most and least frequent extreme low temperature events. In the winter of 1967, two strong and stable STW trains were maintained over the Eurasian continent, and the strong westerly jet provided a good channel for the propagation of STW. Located in the downstream area of those two STW trains, China was significantly influenced by them and experienced frequent extreme low temperature events. Further analysis suggest that the intensity of the upstream transient wave and the areas where the transient waves reached are completely consistent with the intensity of extreme low temperature and the areas where frequent extreme low temperature event happened, respectively. In contrast, Westerly jet in 2006 was weaker and the path of transient wave propagation was shorter and weaker, resulting in the low frequency of extreme temperature. Secondly, in their long term variations, westerly jet is also consistent with the extreme low temperature frequency. The transient wave path changed before and after the 1980s. Further investigation suggests that transient wave intensities in key areas exhibit in-phase changes with the frequency of extreme low temperature events in the periods of 1959-1979 and 1986-2006. Meanwhile, the main features of transient wave activities in high-frequent years and low-frequent years of extreme low temperature events are similar to those of 1967 and 2006, respectively. Results indicate that winter extreme low temperature events in China have a very close relationship with the transient wave activity, implying the propagation and activity of STW are important factors affecting the winter extreme low temperature events in China. This study can also provide a new clue for better understanding the mechanisms of the extreme temperature events. 展开更多
关键词 extreme low temperature synoptic scale transient wave activity westerly jet
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