Correcting Radar Rainfall Estimates Based on Ground Elevation Function

https://doi.org/10.22146/jcef.49395

Roby Hambali(1*), Djoko Legono(2), Rachmad Jayadi(3)

(1) Department of Civil and Environmental Engineering, Universitas Gadjah Mada, Yogyakarta, INDONESIA Department of Civil Engineering, Bangka Belitung University, INDONESIA
(2) Department of Civil and Environmental Engineering, Universitas Gadjah Mada, Yogyakarta, INDONESIA
(3) Department of Civil and Environmental Engineering, Universitas Gadjah Mada, Yogyakarta, INDONESIA
(*) Corresponding Author

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.

Keywords


X-band MP radar; Evaluation and Correction; Mountainous region; Elevation function

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DOI: https://doi.org/10.22146/jcef.49395

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