准确评估现有多源卫星降水产品的时空精度特征，可为长江流域的水资源高效开发利用奠定坚实的气象数据基础。利用长江流域191个气象站点1999—2019年逐日站点实测降水数据和TRMM（tropical rainfall measuring mission）、CMORPH（CPC MORPHing technique）、CHIRPS（climate hazards group infrared precipitation with station data）和PERSIANN_CDR（precipitation estimation from remotely sensed information using artificial neural networks climate data record）4种卫星降水产品，运用皮尔逊相关系数R、均方根误差ERMS和纳什效率系数ENS等连续性指标评价卫星降水产品在长江流域时间和空间尺度上相对于站点降水的探测精度，并运用探测率POD、误报率RFA和TS评分3个分类评价指标衡量卫星降水产品对不同量级降水的捕捉能力。结果表明：在年尺度上，TRMM和CMORPH相对于CHIRPS和PERSIANN_CDR表现出更高的探测精度，而对于年降水量空间分布特征，仅有TRMM、CMORPH和CHIRPS能不同程度地准确反映；在月尺度上，TRMM和CMORPH对降水估计仍然具有较高精度，TRMM、CMORPH和CHIRPS在描述月降水空间分布方面在长江流域不同区域各具优势；在日尺度上，4种卫星降水产品对弱降水的捕捉能力均较强，对强降水探测能力则较差;在空间尺度上，4种卫星降水产品在日和月尺度上表现为高海拔地区精度较高，而年尺度上则无明显变化规律。总体而言，4种卫星降水产品中，TRMM和CMORPH在长江流域年、月、日不同时间尺度上更具优势，但在空间分布上，4种产品在不同地区差异显著。这一结论为进一步开发适用于长江流域的高时空分辨率降水融合产品奠定了研究基础。

Accurately assessing the temporal and spatial accuracy characteristics of existing multi-source satellite-based precipitation products can lay a solid meteorological data foundation for the efficient development and utilization of water resources in the Yangtze River basin (YRB). The daily precipitation data of 191 meteorological gauges in YRB from 1999 to 2019 and four types of satellite-based products of TRMM(Tropical Rainfall Measuring Mission),CMORPH(CPC MORPHing technique),CHIRPS(Climate Hazards Group Infrared Precipitation with Station data) and PERSIANN_CDR(Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Climate Data Record)were used.The indicators (e.g.R,ERMS and ENS)were used to evaluate the detection accuracy of four satellite-based precipitation products related to gauge based precipitation at temporal and spatial scales.POD,RFA and TS classification evaluation indicators are used to measure the ability of four satellite-based precipitation products of different magnitudes.