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Error Analysis of the Rain Rate from TRMM Precipitation Radar Using the Ground Based Observations over Korea

机译:基于韩国地面观测的TRMM降水雷达的雨率误差分析

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Preliminary error analysis results of the near surface rain rate (NSR) measured by Precipitation Radar (PR) onboard Tropical Rainfall Measuring Mission (TRMM) satellite are introduced in this paper. Statistical errors are analyzed by comparison of rain rates measured by TRMM PR and ground-based Instruments, i.e. Automatic Weather System (AWS) over Korean Peninsula. The ground and satellite measurements are fundamentally different time and spatial resolution. AWSs sample the rainfall continuously in time but at a separate point, while TRMM PR samples an area average over the field of view but a snapshot in time. Therefore the comparison of two data with different temporal and spatial resolution include much errors. The purpose of this study is to investigate the errors according to the field of view of averaged grid, the number of AWS stations and the threshold of rain rate. However, in this paper we will introduce only the variations of errors by the number of AWS in a FOV and by the averaging time of rainrate, in advance. Results show that the RMSEs are decreased inversely by the number of AWS rain gauges, but correlation coefficients (CC) are increased as the number of AWS rain gauges are more. In addition, the CC according to the number of AWS tend to increase as the averaging time is longer and shows opposite relation with RMSE. The PR agrees well to the AWSs with the highest CC of 0.79 and the smallest RMSE of 2.285. The RMSE is smallest when 10 rain gauges in a grid averaged for 30 minutes. However the PR Seems to estimate rain rate lower than AWSs.
机译:本文介绍了通过降水雷达(PR)船上测量的近地表雨率(NSR)的初步误差分析结果(PR)船上滚动测量任务(TRMM)卫星。通过比较TRMM PR和基于地面仪器测量的雨率来分析统计误差,即韩国半岛的自动天气系统(AWS)。地面和卫星测量基本上是不同的时间和空间分辨率。 AWSS在时间上连续地样本,但在一个单独的点处,而TRMM PR在视野中的一个区域平均值,但在时间上的快照。因此,两个具有不同时间和空间分辨率的两个数据的比较包括太多错误。本研究的目的是根据平均网格的视野,AWS站的数量和雨率阈值来研究误差。然而,在本文中,我们将仅在FOV中的AWS数量和陀纳的平均时间提前介绍错误的变化。结果表明,随着AWS雨量的数量,RMSE的数量与AWS雨量仪的数量相反,但随着AWS雨量仪的数量,相关系数(CC)增加。另外,根据AWS数量的CC倾向于随着平均时间的时间较长而增加并且与RMSE相反。该公关对最高CC的AWSS吻合良好,最高的CC,最小的RMSE为2.285。当栅格的10个雨量仪平均30分钟时,RMSE最小。然而,PR似乎估计比AWS低的雨率。

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