Correcting Radar Rainfall Estimates Based on Ground Elevation Function

R. Hambali, D. Legono, R. Jayadi
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引用次数: 1

Abstract

X-band radar gives several advantages for quantitative rainfall estimation, involving higher spatial and temporal resolution, also the ability to reduce attenuation effects and hardware calibration errors. However, the estimates error due to attenuation in heavy rainfall condition cannot be avoided. In the mountainous region, the impact of topography is considered to contribute to radar rainfall estimates error. To have more reliable estimated radar rainfall to be used in various applications, a rainfall estimates correction needs to be applied. This paper discusses evaluation and correction techniques for radar rainfall estimates based on ground elevation function. The G/R ratio is used as a primary method in the correction process. The novel approach proposed in this study is the use of correction factor derived from the relationship between Log (G/R) parameter and elevation difference between radar and rain gauge stations. A total of 4590 pairs of rainfall data from X-band MP radar and 15 rain gauge stations in the Mt. Merapi region were used in evaluation and correction process. The results show the correction method based on the elevation function is relatively good in correcting radar rainfall depth with values of Log (G/R) decreased up to 81.1%, particularly for light rainfall (≤ 20 mm/hour) condition. Also, the method is simple to apply in a real-time system.
基于地面高程函数的雷达雨量校正
x波段雷达为定量降雨估计提供了几个优势,包括更高的空间和时间分辨率,以及减少衰减效应和硬件校准误差的能力。然而,由于强降雨条件下的衰减,估计误差是不可避免的。在山区,考虑地形的影响对雷达雨量估计误差的贡献。为了在各种应用中使用更可靠的雷达估计降雨量,需要应用降雨量估计校正。本文讨论了基于地面高程函数的雷达雨量估算的评估和校正技术。G/R比值是校正过程中的主要方法。本文提出的新方法是利用Log (G/R)参数与雷达和雨量站的高程差之间的关系推导出校正因子。利用Merapi山地区x波段MP雷达和15个雨量站的4590对降水资料进行了评价和校正。结果表明,基于高程函数的校正方法对雷达雨深的校正效果较好,Log (G/R)值降低81.1%,特别是在小雨(≤20 mm/h)条件下。该方法易于在实时系统中应用。
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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