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Calibrated radar-derived rainfall data for rainfall-runoff modeling.


Waleed, A. R. M. and Mohd Soom, Mohd Amin and Abdul Halim, G, and Mohamed Shariff, Abdul Rashid and Wayayok, Aimrun (2009) Calibrated radar-derived rainfall data for rainfall-runoff modeling. European Journal of Scientific Research, 30 (4). pp. 608-619. ISSN 1450-216X; ESSN: 1450-202X


This study focuses on a technique to improve runoff modeling based on radar-derived rainfall and hydrological model for the whole watershed. GIS tools were used to provide the model parameters for the Upper Bernam River Basin (1090 km2), Malaysia. Virtual rainfall stations are created throughout the UBRB watershed. The rainfall data for these stations are estimated from raw weather radar data using newly developed program called RaDeR ver1.0. For this study, estimated radar rainfall data from Subang weather radar stations were compared and calibrated with actual rain gauge data. Radar-derived rainfall calibration model developed for Subang radar station was y=0.8772x. According to the model developed, the radar rainfall calibration factor (RCf) can be identified as 0.8772. The original estimated radar derived rainfall data should be adjusted before using the calibration factor (RCf). The model gives better correlation when adjusted radar values were used instead of the original radar rainfall values. The model calibration factor increased from 0.464 with R2 of 0.2759** to 0.8772 with R2 of 0.3655***. Finally, the virtual rainfall stations created throughout the river basin produced a more representative rainfall distribution. It is believed that watershed river flow can be better estimated by using radar-derived rainfall data.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: EuroJournals
Keywords: GIS; Malaysia; Radar rainfall calibration; Radar-derived rainfall; Virtual rainfall stations.
Depositing User: Fatimah Zahrah @ Aishah Amran
Date Deposited: 21 Jan 2014 03:20
Last Modified: 22 Oct 2015 00:36
URI: http://psasir.upm.edu.my/id/eprint/13475
Statistic Details: View Download Statistic

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