Fajriani, Q.R. and Jayadi, R. and Legono, D. and Sujono, J. (2021) The Reliability of X-Band Multiparameter Radar Rainfall Estimates. In: IOP Conference Series: Earth and Environmental Science.
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Abstract
Rainfall monitoring is an important activity for the development of a water-related disaster mitigation system. The rain gauge measurement is still regarded as the "ground truth". To obtain the rainfall that represents an area, a high density of rain gauges network is needed. Besides, the installation of a large numbers of rain gauges is considered inefficient. The utilization of advanced technology is deemed necessary to complement the rainfall monitoring system, one of which is by using radar. Altough the radar rainfall estimates have a better spatial resolution, but the reliability needs to be evaluated. This study was carried out to evaluate the reliability of rainfall data from an X-Band Multiparameter radar by classifying the intensity of heavy rain and moderate rain. Then radar rainfall data was corrected using the Adjustment Factor (AF) method. The results show that the radar rainfall has better accuracy in predicting the moderate rain rather than the heavy rain. Furthermore, the X-Band MP radar has better accuracy when predicting rain in an area that has the elevation below the radar than the higher elevation area. Correction of the radar rainfall data using the AF factor produces a rainfall estimates which is closer to the ARR rain. © Published under licence by IOP Publishing Ltd.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Cited by: 0; Conference name: 3rd International Conference on Sustainable Infrastructure, ICSI 2020; Conference date: 5 October 2020 through 6 October 2020; Conference code: 171524; All Open Access, Gold Open Access |
Uncontrolled Keywords: | Library Dosen |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TA Engineering (General). Civil engineering (General) > Environmental engineering |
Depositing User: | Sri JUNANDI |
Date Deposited: | 15 Oct 2024 02:43 |
Last Modified: | 15 Oct 2024 02:43 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/5216 |