期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Impact of ionospheric irregularity on SBAS integrity:spatial threat modeling and improvement 被引量:2
1
作者 BAO Junjie LI Rui +1 位作者 LIU Pan HUANG Zhigang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2018年第5期908-917,共10页
The ionosphere, as the largest and least predictable error source, its behavior cannot be observed at all places simultaneously. The confidence bound, called the grid ionospheric vertical error(GIVE), can only be dete... The ionosphere, as the largest and least predictable error source, its behavior cannot be observed at all places simultaneously. The confidence bound, called the grid ionospheric vertical error(GIVE), can only be determined with the aid of a threat model which is used to restrict the expected ionospheric behavior. However, the spatial threat model at present widespread used, which is based on fit radius and relative centroid metric(RCM), is too conservative or the resulting GIVEs will be too large and will reduce the availability of satellite-based augmentation system(SBAS). In this paper, layered two-dimensional parameters, the vertical direction double RCMs, are introduced based on the spatial variability of the ionosphere. Comparing with the traditional threat model, the experimental results show that the user ionospheric vertical error(UIVE) average reduction rate reaches 16%. And the 95% protection level of conterminous United States(CONUS) is 28%, even under disturbed days, which reaches about 5% reduction rates.The results show that the system service performance has been improved better. 展开更多
关键词 ionospheric delay spatial threat model relative centroid metric(RCM) user ionospheric vertical error(UIVE)
在线阅读 下载PDF
2002—2005年T213数值降水预报产品分析检验 被引量:51
2
作者 管成功 王克敏 陈晓红 《气象》 CSCD 北大核心 2006年第8期70-76,共7页
利用2002—2005年T213模式的降水预报值和全国400个标准测站的降水实况资料,采用客观降水检验方法,对T213数值降水预报产品的预报能力进行了分析检验。结果表明:降水预报TS评分和预报偏差B值均存在明显时空分布差异;各级降水中,小雨TS... 利用2002—2005年T213模式的降水预报值和全国400个标准测站的降水实况资料,采用客观降水检验方法,对T213数值降水预报产品的预报能力进行了分析检验。结果表明:降水预报TS评分和预报偏差B值均存在明显时空分布差异;各级降水中,小雨TS值最大、B值最小,夏季TS和B值均好于其它季节;中到大雨TS最高评分和最低B值均是长江中下游地区,其次是华南;暴雨TS评分各区较低,但华南、长江中下游地区和东北地区B值较小。这些地区T213降水预报对预报业务有较好的参考作用。T213降水预报对春季东北地区和华北的强雨(雪)、夏季长江中下游地区的梅雨、西部地区的华西秋雨等降水过程具有相当好的预报能力。 展开更多
关键词 T213模式 TS评分 预报偏差 时空分布
在线阅读 下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部