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首页> 外文期刊>Journal of atmospheric and oceanic technology >Combined Radar and Radiometer Analysis of Precipitation Profiles for a Parametric Retrieval Algorithm
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Combined Radar and Radiometer Analysis of Precipitation Profiles for a Parametric Retrieval Algorithm

机译：参数检索算法的降水廓线雷达和辐射计组合分析

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摘要

A methodology to analyze precipitation profiles using the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) and precipitation radar (PR) is proposed. Rainfall profiles are retrieved from PR measurements, defined as the best-fit solution selected from precalculated profiles by cloud-resolving models (CRMs), under explicitly defined assumptions of drop size distribution (DSD) and ice hydrometeor models. The PR path-integrated attenuation (PIA), where available, is further used to adjust DSD in a manner that is similar to the PR operational algorithm. Combined with the TMI-retrieved nonraining geophysical parameters, the three-dimensional structure of the geophysical parameters is obtained across the satellite-observed domains. Microwave brightness temperatures are then computed for a comparison with TMI observations to examine if the radar-retrieved rainfall is consistent in the radiometric measurement space. The inconsistency in microwave brightness temperatures is reduced by iterating the retrieval procedure with updated assumptions of the DSD and ice-density models. The proposed methodology is expected to refine the a priori rain profile database and error models for use by parametric passive microwave algorithms, aimed at the Global Precipitation Measurement (GPM) mission, as well as a future TRMM algorithms.
机译：提出了使用热带雨量测量任务（TRMM）微波成像仪（TMI）和降水雷达（PR）分析降水剖面的方法。在明确定义的液滴尺寸分布（DSD）和冰水流星模型假设的前提下，从PR测量中检索降雨剖面，PR定义为通过云解析模型（CRM）从预先计算的剖面中选择的最佳拟合解决方案。 PR路径积分衰减（PIA），如果有的话，进一步用于以与PR运算算法相似的方式调整DSD。结合TMI检索到的非降雨地球物理参数，可以在卫星观测范围内获得地球物理参数的三维结构。然后计算微波亮度温度，以便与TMI观测值进行比较，以检查雷达辐射雨量在辐射测量空间中是否一致。通过使用DSD和冰密度模型的更新假设来重复检索过程，可以减少微波亮度温度的不一致。预期所提出的方法将完善先验降雨剖面数据库和误差模型，以用于全球被动降水测量（GPM）任务的参数无源微波算法以及未来的TRMM算法。

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