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具有气动延期特性的发火机构及其设计规律
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作者 王华 宋丽萍 《兵工学报》 EI CAS CSCD 北大核心 1997年第4期312-315,共4页
提出了一种具有气动延期特性的发火机构,可用于常规的破甲杀伤双用途子弹引信,使其具有自毁功能,也可用于区域封锁子弹药引信,使其具有随机起爆功能。讨论了这种机构的启动特性,导出了机构启动时间与机构相关参数之间的关系;研究... 提出了一种具有气动延期特性的发火机构,可用于常规的破甲杀伤双用途子弹引信,使其具有自毁功能,也可用于区域封锁子弹药引信,使其具有随机起爆功能。讨论了这种机构的启动特性,导出了机构启动时间与机构相关参数之间的关系;研究了机构设计应遵循的规律。 展开更多
关键词 引信 发火机构 气动延期
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Predicting climate anomalies:A real challenge 被引量:3
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作者 Huijun Wang Yongjiu Dai +7 位作者 Song Yang Tim Li Jingjia Luo Bo Sun Mingkeng Duan Jiehua Ma Zhicong Yin Yanyan Huang 《Atmospheric and Oceanic Science Letters》 CSCD 2022年第1期2-11,共10页
In recent decades,the damage and economic losses caused by climate change and extreme climate events have been increasing rapidly.Although scientists all over the world have made great efforts to understand and predic... In recent decades,the damage and economic losses caused by climate change and extreme climate events have been increasing rapidly.Although scientists all over the world have made great efforts to understand and predict climatic variations,there are still several major problems for improving climate prediction.In 2020,the Center for Climate System Prediction Research(CCSP) was established with support from the National Natural Science Foundation of China.CCSP aims to tackle three scientific problems related to climate prediction—namely,El Ni?o-Southern Oscillation(ENSO) prediction,extended-range weather forecasting,and interannual-to-decadal climate prediction—and hence provide a solid scientific basis for more reliable climate predictions and disaster prevention.In this paper,the major objectives and scientific challenges of CCSP are reported,along with related achievements of its research groups in monsoon dynamics,land-atmosphere interaction and model development,ENSO variability,intraseasonal oscillation,and climate prediction.CCSP will endeavor to tackle key scientific problems in these areas. 展开更多
关键词 Center for climate system prediction research(CCSP) Monsoon dynamics Land surface model ENSO dynamics Extended-range forecasting Interannual-to-decadal prediction
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