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降雨空间不均匀性与雷达测雨空间平滑误差
引用本文:张凌,吕达仁,段树,刘锦丽.降雨空间不均匀性与雷达测雨空间平滑误差[J].遥感技术与应用,2003,18(6):364-373.
作者姓名:张凌  吕达仁  段树  刘锦丽
作者单位:(中国科学院大气物理研究所中层大气与全球环境探测开放实验室,北京 100029)
基金项目:国家自然科学基金项目(批准号:40075006和部分49975004)的资助。,科技部基础研究(No.2001CCA02200),国家高技术项目(2001AA633060课题),中科院大气物理研究所所创新面上基金(8-3301)的资助。
摘    要:用X波段气象雷达对降雨精细结构观测,获得了125 m高距离分辨率的降雨反射率数据。用此数据模拟计算了在与地基、空基的雷达分辨尺寸相当的模拟雷达空间平滑窗口内的不均匀性强度、基于Z-R关系的雷达测雨空间平滑误差等参数,并分析了这些参数间可能的相关关系。结果表明,降雨的小尺度不均匀性非常显著,甚至在1 km的雷达分辨尺寸内反射率不均匀度超过10 dB以上并不罕见,由此产生的雨强平滑误差不可忽略,甚至对于与地基雷达分辨率相近的0.5 km模拟雷达分辨率,其相对相误差可达30%以上。结果比较显示,用通常的1 km低分辨率雷达数据模拟计算会低估测雨平滑误差,其中对于4 km和3 km分辨率约低估25%,对于2 km以下分辨率约低估40%以上。

关 键 词:不均匀填充  误差  雨强  降雨  雷达  
收稿时间:2003-05-06

Rain Spatial Nonuniformity and Spatial Smoothing Error of Radar Rainfall Measurement
ZHANG Ling,LU Da-ren,DUAN Shu,LIU Jin-li.Rain Spatial Nonuniformity and Spatial Smoothing Error of Radar Rainfall Measurement[J].Remote Sensing Technology and Application,2003,18(6):364-373.
Authors:ZHANG Ling  LU Da-ren  DUAN Shu  LIU Jin-li
Affiliation:(Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing100029,China)
Abstract:In order to observe fine structures of rainfall, the rainfall radar reflectivity data with a high range resolution of 125 m were obtained by using a ground-based X-band meteorological radar. Using these high resolution radar data, several parameters within simulated radar spatial smoothing windows whose sizes correspond to the resolutions of ground-based and spaceborne radars, such as rain nonuniformity strength, the spatial smoothing error of Z-R relationship based radar rainfall measurement, etc., were computed. The possible correlations between these parameters were also analyzed. The results show that, the small-scale rain nonuniformity is significant, and even in a spatial smoothing window of 1 km size, the reflectivity excursion (defined as the difference between maximum and minimum) above 10 dB is common. The significant rain nonuniformity results in that, the rainrate smoothing error cannot be neglected, and even for a smoothing window of 0.5 km size which is similar to resolutions of ground-based radars, can reach up to above 30%. Comparisons of the smoothing errors computed from radar data with between the 125 m high resolution and the 1 km low resolution shows that the smoothing errors from the 1 km resolution data would be underestimated. The underestimation would be about 25% for smoothing windows of 4 and 3 km, and about 40% for that of 2 km.
Keywords:Nonuniform filling  Error  Rainrate  Rainfall  Radar
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