首页|基于统计的短历时降水时间聚解方法研究

基于统计的短历时降水时间聚解方法研究

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目前水文预报的降水资料严重不足,特别是无资料地区将很大可能利用卫星遥感反演获取降水信息,但遥感资料提供的降水时间尺度往往较长,难以满足水文预报需求.论文提出了一种基于统计,针对独立降水事件,将长时段降水聚解为短时间尺度降水的方法.研究将此方法应用于史灌河七邻雨量站,分别聚解了七邻6h、3h、2h、1h降水为10min降水.研究表明,该方法计算简单,能保证模拟的总量同实际的完全一致,雨强同实际的基本一致,具有较好的区域适应性.
The Study of Temporal Downscaling method of Short-period Precipitation Based on Statistical Analysis
Because of the scarcity of the observed precipitation in hydrological forecast especially for regions with-out data, remote sensing plays important role in providing precipitation data. However,as the time scale of the pre-cipitation data provided by remote sensing is always very long, it is difficult to meet the demand of hydrological forecast. This paper proposed a precipitation downscaling method in time scale based on the statistical analysis of the independent precipitation event and applied it at the Qilin gauge in Shiguan River to downscale the precipitati-on of 6 hours, 3 hours, 2 hours and 1 hour into 10 rain. The application results indicate that this method is simple and practical and it can insure that there is not only a consistency between observed and simulated precipitation da-ta, but also between the rainfall intensities.

statisticsprecipitationtemporal scale downscalingshort-period precipitation

刘玉、夏军

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中国科学院,地理科学与资源研究所,北京,100101

中国科学院,研究生院,北京,100049

统计 降水 时间聚解 短历时降水

Knowledge Innovation Key Project of the Chinese Academy of SciencesSpecial Fund of Ministry of Science & Technology, China国家自然科学基金国家自然科学基金

KZCX2-YW-1262006DFA218904067103550279049

2008

自然资源学报
中国自然资源学会 中国科学院地理科学与资源研究所

自然资源学报

CSTPCDCSCDCHSSCD北大核心
影响因子：2.073
ISSN：1000-3037
年,卷(期)：2008.23(6)
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