Abstract Understanding the performance of satellite-retrieved extreme rainfall rates is a prerequisite for developing appropriate flood and drought monitoring systems in a region where rain gauge data are sparse and unevenly distributed. In this study, seven satellite rainfall estimates (SREs) that primarily use the infrared (PERSIANN, PERSIANN-CDR, and TAMSATv3) and the microwave (CMORPHv1, TRMM 3B42RT, TRMM 3B42v7 and IMERG-v06B) data were evaluated in the highland and lowland regions of Upper Awash Basin, Ethiopia, from 2003 to 2015. Three categorical error metrics, seven extreme precipitation indices, and the Empirical Cumulative Distribution Function (ECDF) plot were used to compare satellite retrieved extreme rainfall rates against rain gauge observations using a pixel-to-point approach. Results showed that TAMSATv3 outperformed all the remaining SREs in detecting and estimating low rainfall in both the highlands (elevation>2000 m) and lowlands (elevation

中文翻译：

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埃塞俄比亚上阿瓦什河流域卫星反演极端降雨率的空间评价

摘要 了解卫星获取的极端降雨率的性能是在雨量数据稀少且分布不均的地区开发适当的洪水和干旱监测系统的先决条件。在这项研究中，主要使用红外（PERSIANN、PERSIANN-CDR 和 TAMSATv3）和微波（CMORPHv1、TRMM 3B42RT、TRMM 3B42v7 和 IMERG-v06B）数据的七个卫星降雨估计 (SRE) 在高地和低地进行了评估2003 年至 2015 年埃塞俄比亚上阿瓦什盆地地区。三个分类误差指标、七个极端降水指数和经验累积分布函数 (ECDF) 图用于比较卫星检索的极端降雨率与使用像素的雨量计观测结果对点方法。