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All Journal SIPIL Jurnal Teknik Sipil Journal of the Civil Engineering Forum FROPIL (Forum Profesional Teknik Sipil) Jurnal Abdi Insani Journal of the Civil Engineering Forum Jurnal Teknik Sumber Daya Air
Roby Hambali
Universitas Bangka Belitung
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Transportation

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Journal : Journal of the Civil Engineering Forum

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Correcting Radar Rainfall Estimates Based on Ground Elevation Function Roby Hambali; Djoko Legono; Rachmad Jayadi
Journal of the Civil Engineering Forum Vol. 5 No. 3 (September 2019)
Publisher : Department of Civil and Environmental Engineering, Faculty of Engineering, UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1035.983 KB) | DOI: 10.22146/jcef.49395

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.
Co-Authors Aghata Christin Natalia Bachtiar, Huda Denansyah, Faisal Ilyas Djoko Legono Fadillah Sabri Frapas, Frapas Segara Irvani, Irvani Pamungkas, Aditya Rachmad Jayadi Riki Dwi Prastyo Riki Dwi Prastyo, Riki Dwi Sandy, Boy Dian Anugra Tae, Lee Sung Tia Anandhita, Tia Yayuk Apriyanti, Yayuk