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Recent updates on precipitation type classification and hydrometeor identification algorithm for GPM-DPR

机译:GPM-DPR的降水型分类和水流仪识别算法最近的最新情况

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The dual precipitation radar (DPR) on board the GPM (Global precipitation measurement) core observatory satellite is expected to improve our knowledge of precipitation processes. DPR offers dual frequency observations (Ku and Ka band) along the vertical profiles which allow us to investigate the microphysics using the difference between two frequency observations (measured dual frequency ratio or DFRm). DFRm has been shown in the literature to be rich in information and can be used to perform precipitation type classification and hydrometeor type identification. This paper shows recent updates of the analysis on these two models. Analysis is focused on the availability of the algorithm to DPR vertical and horizontal resolution. The algorithm is also evaluated using off-nadir data from airborne precipitation radar (APR-2).
机译:预计GPM(全球降水测量)核心天文台卫星的双重降水雷达(DPR)预计会改善我们对降水过程的知识。 DPR沿着垂直轮廓提供双频观测(Ku和Ka波段),允许我们使用两个频率观测(测量的双频比或DFRM)之间的差异来研究微妙的差异。 DFRM已在文献中显示为丰富的信息,可用于执行降水类型分类和水力仪类型识别。本文显示了对这两个模型的分析的最新更新。分析专注于算法到DPR垂直和水平分辨率的可用性。还使用来自机载沉淀雷达(APR-2)的偏离Nadir数据来评估该算法。

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