首页> 外文会议>Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International >Preliminary analysis of the rain profiling algorithm for TRMM precipitation radar data
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Preliminary analysis of the rain profiling algorithm for TRMM precipitation radar data

机译:TRMM降水雷达资料的降雨剖面算法初步分析。

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This paper describes the results of preliminary analysis of the TRMM standard algorithm 2A25 which estimates the instantaneous vertical profile of rain from Precipitation Radar (PR) data. It first estimates the attenuation-corrected radar reflectivity factor from the measured reflectivity factor. The attenuation-corrected radar reflectivity factor (Z) is then converted to the rainfall rate (R) at each radar resolution cell. The major challenge of the algorithm lies in the attenuation correction that also takes into account the non-uniform beam filling effect. The attenuation correction is carried out with the combination of the Hitschfeld-Bordan method and the surface reference method. The bias in the attenuation estimate to the surface caused by the non-uniform distribution of rain is estimated from the spatial variations of the estimated total attenuations from the top of rain to the surface in the vicinity of the radar beam concerned. The Z-R relationship is also modified by the non-uniformity of rain distribution as well as rain type and height. The performance of the algorithm is analyzed with data in the initial phase of the mission. Results from such analysis are described.
机译:本文介绍了TRMM标准算法2A25的初步分析结果,该算法从降水雷达(PR)数据估算雨水的瞬时垂直剖面。它首先从测得的反射率系数中估算出经衰减校正的雷达反射率系数。然后,将经过衰减校正的雷达反射率因子(Z)转换为每个雷达分辨率单元的降雨率(R)。该算法的主要挑战在于衰减校正,该衰减校正还考虑了不均匀的光束填充效果。衰减校正通过Hitschfeld-Bordan方法和表面参考方法的组合进行。由雨的不均匀分布引起的对表面的衰减估计中的偏差是根据所估计的从雨的顶部到相关雷达波束附近的表面的总衰减的空间变化来估计的。雨水分布的不均匀性以及雨水类型和高度也改变了Z-R关系。使用任务初始阶段的数据分析算法的性能。描述了这种分析的结果。

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