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

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 th...

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Main Authors: Waleed, A. R. M., Mohd Soom, Mohd Amin, Abdul Halim, G,, Mohamed Shariff, Abdul Rashid, Wayayok, Aimrun
Format: Article
Language:English
English
Published: EuroJournals 2009
Online Access:http://psasir.upm.edu.my/id/eprint/13475/1/Calibrated%20radar.pdf
http://psasir.upm.edu.my/id/eprint/13475/
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id my.upm.eprints.13475
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spelling my.upm.eprints.134752015-10-22T00:36:18Z http://psasir.upm.edu.my/id/eprint/13475/ Calibrated radar-derived rainfall data for rainfall-runoff modeling. Waleed, A. R. M. Mohd Soom, Mohd Amin Abdul Halim, G, Mohamed Shariff, Abdul Rashid Wayayok, Aimrun 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. EuroJournals 2009 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/13475/1/Calibrated%20radar.pdf 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 English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description 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.
format Article
author Waleed, A. R. M.
Mohd Soom, Mohd Amin
Abdul Halim, G,
Mohamed Shariff, Abdul Rashid
Wayayok, Aimrun
spellingShingle Waleed, A. R. M.
Mohd Soom, Mohd Amin
Abdul Halim, G,
Mohamed Shariff, Abdul Rashid
Wayayok, Aimrun
Calibrated radar-derived rainfall data for rainfall-runoff modeling.
author_facet Waleed, A. R. M.
Mohd Soom, Mohd Amin
Abdul Halim, G,
Mohamed Shariff, Abdul Rashid
Wayayok, Aimrun
author_sort Waleed, A. R. M.
title Calibrated radar-derived rainfall data for rainfall-runoff modeling.
title_short Calibrated radar-derived rainfall data for rainfall-runoff modeling.
title_full Calibrated radar-derived rainfall data for rainfall-runoff modeling.
title_fullStr Calibrated radar-derived rainfall data for rainfall-runoff modeling.
title_full_unstemmed Calibrated radar-derived rainfall data for rainfall-runoff modeling.
title_sort calibrated radar-derived rainfall data for rainfall-runoff modeling.
publisher EuroJournals
publishDate 2009
url http://psasir.upm.edu.my/id/eprint/13475/1/Calibrated%20radar.pdf
http://psasir.upm.edu.my/id/eprint/13475/
_version_ 1643825342473830400
score 13.211869

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