A Physically Based Identification of Vertical Profiles of Reflectivity from Volume Scan Radar Data
A Physically Based Identification of Vertical Profiles of Reflectivity from Volume Scan Radar Data
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基于体积扫描雷达数据的反射率垂直剖面的物理识别
DOI：
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发表时间：
2013
期刊：
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通讯作者：
G. Delrieu
中科院分区：
文献类型：
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作者：
P. Kirstetter;Hervé Andrieu;B. Boudevillain;G. Delrieu
由于雷达反射率的垂直变化引起波束填充的不均匀性，因此必须确定反射率的垂直廓线（VPR）以校正雷达对降雨率的估计。提出了一种从雷达数据中识别VPR的方法，该方法考虑了雷达采样。物理为基础的约束降雨的垂直结构的降雨分类过程中，定义更均匀的降水模式与简单的VPR模型。在扩展卡尔曼滤波器的框架中识别模型参数，以确保其时间一致性。该方法进行评估使用的数据集，从体积扫描战略雷达定量降水估计设计于2002年的博莱内雷达（法国）。检索的VPR的物理一致性进行评估。只要基于物理的识别VPR（i）呈现物理一致的形状和特性consi，得到积极的结果。
AbstractThe vertical profile of reflectivity (VPR) must be identified to correct estimations of rainfall rates by radar for the nonuniform beam filling associated with the vertical variation of radar reflectivity. A method for identifying VPRs from volumetric radar data is presented that takes into account the radar sampling. Physically based constraints on the vertical structure of rainfall are introduced with simple VPR models within a rainfall classification procedure defining more homogeneous precipitation patterns. The model parameters are identified in the framework of an extended Kalman filter to ensure their temporal consistency. The method is assessed using the dataset from a volume-scanning strategy for radar quantitative precipitation estimation designed in 2002 for the Bollene radar (France). The physical consistency of the retrieved VPR is evaluated. Positive results are obtained insofar as the physically based identified VPR (i) presents physically consistent shapes and characteristics consi...