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滑动时间窗长度对太行山区雷达反演降水的影响

Impact of Moving Time Window Size on Radar-Based Precipitation Estimation in Taihang Mountains

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【作者】 高烽周新尧孔凡超杨永辉郭迎春孙强

【Author】 GAO Feng;ZHOU Xinyao;KONG Fanchao;YANG Yonghui;GUO Yingchun;SUN Qiang;Key Laboratory of Agricultural Water Resources/Hebei Laboratory of Agricultural Water-Saving/Center for Agricultural Resources Research,Institute of Genetics and Developmental Biology, Chinese Academy of Sciences;University of Chinese Academy of Sciences;Hebei Meteorological Observatory;Hejian Bureau of Agriculture in Hebei Province;

【机构】 中国科学院遗传与发育生物学研究所农业资源研究中心/中国科学院农业水资源重点实验室/河北省节水农业重点实验室中国科学院大学河北省气象台河北省河间市农业局

【摘要】 利用雷达估算太行山降水对于海河流域水循环解析、变化预测及流域水资源管理具有重要意义。本文利用2013和2014年6—9月太行山东部中低山区多普勒天气雷达反射率(Z)产品和自动雨量站降水(I)数据,采用不同滑动时间窗(1~5h)估算Z-I关系,利用2013—2014年45次降水事件验证不同时间窗Z-I关系在小雨、中雨和暴雨情况下的精度,并针对2013年7月9日降水事件进行个例分析。结果表明:不同滑动时间窗Z-I关系反演降水精度不同,误差随滑动时间窗增大,呈现先下降后上升的趋势,其中2h滑动时间窗误差最小。对于不同量级降水的反演,2h滑动时间窗Z-I关系对中雨的改进最大。个例分析表明:滑动时间窗Z-I算法的主要优势在于改善其他算法对雨强较大降水的低估。

【Abstract】 Precise estimation of precipitation in Taihang Mountains is crucial for understanding water cycle and providing support for water management in Haihe River Basin.By using Doppler radar,this study developed the Z-I relationships with different time windows(1-5 h)in three counties in eastern side of Taihang Mountains using radar reflectivity(Z)and rain gauge data(I)from June to September during2013-2014.By dividing the 45 precipitation events into three categories:Light,moderate and heavy,precipitation was precisely estimated from different Z-I relationships under different categories.Take the rainfall event on 9 July 2013 as an example.It showed that(1)the errors of estimated precipitation from different time windows declined firstly,then rose up as the time windows moved from 1 hto 5 h,and the lowest error appeared in 2 h.(2)The 2 hZ-I relationship greatly improved the precision of moderate rain.(3)The estimation of heavy rain also improved when the 2 hZ-I relationship was applied to the rainfall event that happened on 9 July 2013.

【基金】 国家自然科学基金项目(41671021);河北省自然科学基金项目(D2015503016)共同资助
  • 【分类号】P412.25
  • 【被引频次】2
  • 【下载频次】117
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