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Comparison between precipitation estimates of ground-based weather radar composites and GPM's DPR rainfall product over Germany
Meteorologische Zeitschrift ( IF 1.2 ) Pub Date : 2020-11-25 , DOI: 10.1127/metz/2020/1039
Velibor Pejcic , Pablo Saavedra Garfias , Kai Mühlbauer , Silke Trömel , Clemens Simmer

We compare more than three years (between 2014 and 2018) of precipitation estimates over Germany from the Dual-frequency Precipitation Radar (DPR) operating on the core satellite of the Global Precipitation Mission (GPM) with the radar-derived precipitation product RADOLAN RY provided by the German national meteorological service (DWD, Deutscher Wetterdienst). Incomplete overlap between the observation volumes due to the different scan geometries and inconsistencies related to the mutually assumed hydrometeor phases lead to large differences, when directly comparing DPR's near surface product (DPRns) with RADOLAN RY. We improve the correspondence between both data sets via two steps. First, we derive an adjusted DPR near surface product (DPRans) extracted from the DPR vertical profiles, that best fits to the scans height and beam width of the surface radar observations. Second, the data is classified into liquid, solid and mixed phases by adjusting hydrometeor phase classification (aHPC) to the RADOLAN scan geometry. With these steps the correlation between both data sets increases from r = 0.49 to r = 0.61 and the RMSD is reduced from 2.94 mm/h to 1.83 mm/h for the commonly observed precipitation, exceeding most of the results found in previous studies. The agreement is best in stratiform precipitation (r = 0.68, RMSD = 1.4 mm/h), for only stratiform and summer season (r = 0.7, RMSD = 1.59 mm/h), and for stratiform with only liquid precipitation (r = 0.67, RMSD = 1.58 mm/h). Unlike the the standard DPRns, the new DPRans product exhibits almost no seasonal differences in the capability of detection; for all seasons the CSI is 0.94 and the FAR/IFAR are 0.04/0.02.

中文翻译:

地面气象雷达复合材料的降水估算与德国境内GPM的DPR降雨产品之间的比较

我们将在全球降水任务(GPM)核心卫星上运行的双频降水雷达(DPR)与德国提供的源自雷达的降水产品RADOLAN RY比较了三年以上(2014年至2018年)德国的降水估计由德国国家气象局(DWD,Deutscher Wetterdienst)提供。直接将DPR的近地表积(DPRns)与RADOLAN RY进行比较时,由于不同的扫描几何形状以及相互假定的水凝物相相关的不一致,导致观测体积之间的不完全重叠导致了很大的差异。我们通过两个步骤来改善两个数据集之间的对应关系。首先,我们从DPR垂直剖面中提取调整后的DPR近地表产品(DPRans),最适合地面雷达观测的扫描高度和波束宽度。其次,通过将水凝液相分类(aHPC)调整为RADOLAN扫描几何形状,将数据分为液相,固相和混合相。通过这些步骤,两个数据集之间的相关性从r = 0.49增加到r = 0.61,并且对于通常观察到的降水,RMSD从2.94 mm / h降低到1.83 mm / h,超过了先前研究中发现的大多数结果。该协议在层状降水(r = 0.68,RMSD = 1.4 mm / h),仅在层状和夏季(r = 0.7,RMSD = 1.59 mm / h)和仅液体降水的层状(r = 0.67)方面是最佳的,RMSD = 1.58 mm / h)。与标准DPRns不同,新的DPRans产品的检测能力几乎没有季节性差异。在所有季节中,CSI均为0。
更新日期:2020-12-01
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