ANALISIS KEANDALAN DATA PENAKAR HUJAN OTOMATIS SEBAGAI ACUAN KOREKSI PERKIRAAN HUJAN RADAR

R. Hambali, Djoko Legono, Rachmad Jayadi
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引用次数: 3

Abstract

The reliability test of automatic rain gauge data in the Mt. Merapi region is highly needed considering that the data is used as a reference to correct the X-band MP radar rainfall estimates error. Rain gauge stations containing unreliable data need to be eliminated so that radar rainfall estimates can be adjusted based on reliable data only. This paper discusses the technique of examining the reliability of rain gauge data using a two-way analysis of variance. The method used in variance analyzing is the Scheffe test, where the difference in the mean value of the two rain gauge stations is compared with the critical value of the Scheffe test. The criteria appointed to declare 'reliable' is if the number of stations that have a significant difference with the reviewed station is less than two. A total of 5939 10-minute rainfall intensity data from 21 rain gauge stations in the Mt. Merapi region were used in the analysis. The results show that six of the 21 rain gauge stations contain unreliable data to use as a reference for correcting radar rainfall estimates. The Scheffe test is considered excellent and straightforward to apply to find out the variance of mean values between rain gauge stations.
自动收集数据的可靠性分析为雷达预报雨雨校正
由于默拉皮山地区自动雨量计数据是修正x波段MP雷达雨量估计误差的参考资料,因此非常需要对该地区自动雨量计数据进行可靠性检验。需要取消含有不可靠数据的雨量站,以便只根据可靠数据调整雷达雨量估计。本文讨论了用方差的双向分析检验雨量计数据可靠性的技术。方差分析使用的方法是Scheffe检验,将两个雨量站平均值的差值与Scheffe检验的临界值进行比较。宣布“可靠”的标准是,与被审查电台有显著差异的电台数量少于两个。利用默拉皮山地区21个雨量站5939个10分钟降雨强度数据进行分析。结果表明,在21个雨量站中,有6个站点的数据不可靠,不能作为校正雷达雨量估计的参考。Scheffe检验法被认为是一种简便易行的方法,可用于确定各雨量站间均值的方差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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