ty -jour a2 -lupo，Anthony R. au -Wei，Guangua au -Lü，Haishen au -Crow，Wade T. au -Zhu -Zhu，Yonghua au-王 -/04 TI-全面评估GPM -IMERG，CMORPH和TMPA降水产品，并在中国大陆上进行降雨量 - 3024190 VL -2018 AB- 2018 AB-对全球降水测量（IMERG）V05B的综合多卫星检索的全面评估is important for benchmarking the product’s continued improvement and future development. The performance of IMERG V05B precipitation products was systematically evaluated using 542 precipitation gauges at multiple spatiotemporal scales from March 2014 to February 2017 over China. Moreover, IMERG V05B was compared with IMERG V04A, the Tropical Rainfall Measuring Mission (TRMM) 3B42, and the Climate Prediction Center Morphing technique (CMORPH)-CRT in this study. Categorical verification techniques and statistical methods are used to quantify their performance. Results illustrate the following. (1) Except for IMERG V04A’s severe underestimation over the Tibetan Plateau (TP) and Xinjiang (XJ) with high negative relative biases (RBs) and CMORPH-CRT’s overestimation over XJ with high positive RB, the four satellite-based precipitation products generally capture the same spatial patterns of precipitation over China. (2) At the annual scale over China, the IMERG products do not show an advantage over its predecessor (TRMM 3B42) in terms of RMSEs, RRMSEs, and Rs; meanwhile, the performance of IMERG products is worse than TRMM 3B42 in spring and summer according to the RMSE, RRMSE, and r指标。在两种Imerg产品之间，IMERG V05B显示了预期的改善（超过IMERG V04A），RMSE从0.4496降低到0.4097毫米/天，RRMSE从16.95％降低到15.44％，并增加 r在整个研究期间，从0.9689到0.9759。在季节性尺度上获得类似的结果。在四种卫星产品中，Cmorph-CRT显示出最差的季节性性能，最高的RMSE（0.6247毫米/天），RRMSE（23.55％）和最低 r（0.9343）在中国。（3）在XJ和TP上，IMERG V05B显然改善了IMERG V04A降水量的强烈低估，RBS在XJ上为5.2％，而RBS为5.2％，而XJ比-21.8％，而2.78％对TP的降水量为2.78％。年度量表的结果与在季节量表上获得的结果相似，除了XJ的夏季结果。而在其余的子区域中，这两种IMERG产品具有近距离的性能。同时，根据苏格兰皇家银行（HN），IMERG V04A略微改善了IMERG V05B的高估。但是，在年度和季节性尺度上，所有四种产品在XJ上都是不可靠的。（4）在所有产品中，TRMM 3B42最能重现每日降水强度的概率密度函数（PDF）。（5）根据本研究的分类验证技术，与TRMM 3B42和CMORPH相比-CRT在中国以及大多数子区域中。但是，所有四种产品都有进一步改进的空间，尤其是在高纬度和干燥的气候区域。这些发现为IMERG算法开发人员和数据集用户提供了宝贵的反馈。 SN - 1687-9309 UR - https://doi.org/10.1155/2018/3024190 DO - 10.1155/2018/3024190 JF - Advances in Meteorology PB - Hindawi KW - ER -