Quantitative precipitation forecast using NWP WRF-ANN model for hydrometeorological flood forecasting / Intan Shafeenar Ahmad Mohtar

Flood forecasting accuracy is crucial for authorities so that they can make better plans. There are many variables involved to provide accurate flood forecasting. The case study area is at Kelantan River Basin, where it experiences the northeast monsoon. QPF from the NWP model was processed, analyze...

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Main Author: Ahmad Mohtar, Intan Shafeenar
Format: Thesis
Language:en
Published: 2023
Online Access:https://ir.uitm.edu.my/id/eprint/89324/1/89324.pdf
https://ir.uitm.edu.my/id/eprint/89324/
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author Ahmad Mohtar, Intan Shafeenar
author_facet Ahmad Mohtar, Intan Shafeenar
author_sort Ahmad Mohtar, Intan Shafeenar
building Tun Abdul Razak Library
collection Institutional Repository
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
continent Asia
country Malaysia
description Flood forecasting accuracy is crucial for authorities so that they can make better plans. There are many variables involved to provide accurate flood forecasting. The case study area is at Kelantan River Basin, where it experiences the northeast monsoon. QPF from the NWP model was processed, analyzed and applied as an alternative to traditional rain gauge system to be the input to an integrated hydro-meteorological flood forecasting system. The direct QPF outputs from the WRF model with a horizontal resolution of 4 km x 4 km was validated against gauged rainfall measurements. The findings demonstrate that the WRF model have the ability to produce QPF for rainfall forecasting, though the accuracy is found to be not very satisfactory. In order to improve the accuracy, ANN model was applied which incorporates several WRF model products.
format Thesis
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institution Universiti Teknologi Mara
language en
publishDate 2023
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spelling my.uitm.ir-893242024-01-17T07:46:55Z https://ir.uitm.edu.my/id/eprint/89324/ Quantitative precipitation forecast using NWP WRF-ANN model for hydrometeorological flood forecasting / Intan Shafeenar Ahmad Mohtar Ahmad Mohtar, Intan Shafeenar Flood forecasting accuracy is crucial for authorities so that they can make better plans. There are many variables involved to provide accurate flood forecasting. The case study area is at Kelantan River Basin, where it experiences the northeast monsoon. QPF from the NWP model was processed, analyzed and applied as an alternative to traditional rain gauge system to be the input to an integrated hydro-meteorological flood forecasting system. The direct QPF outputs from the WRF model with a horizontal resolution of 4 km x 4 km was validated against gauged rainfall measurements. The findings demonstrate that the WRF model have the ability to produce QPF for rainfall forecasting, though the accuracy is found to be not very satisfactory. In order to improve the accuracy, ANN model was applied which incorporates several WRF model products. 2023 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/89324/1/89324.pdf Quantitative precipitation forecast using NWP WRF-ANN model for hydrometeorological flood forecasting / Intan Shafeenar Ahmad Mohtar. (2023) PhD thesis, thesis, Universiti Teknologi MARA (UiTM). <http://terminalib.uitm.edu.my/89324.pdf>
spellingShingle Ahmad Mohtar, Intan Shafeenar
Quantitative precipitation forecast using NWP WRF-ANN model for hydrometeorological flood forecasting / Intan Shafeenar Ahmad Mohtar
title Quantitative precipitation forecast using NWP WRF-ANN model for hydrometeorological flood forecasting / Intan Shafeenar Ahmad Mohtar
title_full Quantitative precipitation forecast using NWP WRF-ANN model for hydrometeorological flood forecasting / Intan Shafeenar Ahmad Mohtar
title_fullStr Quantitative precipitation forecast using NWP WRF-ANN model for hydrometeorological flood forecasting / Intan Shafeenar Ahmad Mohtar
title_full_unstemmed Quantitative precipitation forecast using NWP WRF-ANN model for hydrometeorological flood forecasting / Intan Shafeenar Ahmad Mohtar
title_short Quantitative precipitation forecast using NWP WRF-ANN model for hydrometeorological flood forecasting / Intan Shafeenar Ahmad Mohtar
title_sort quantitative precipitation forecast using nwp wrf-ann model for hydrometeorological flood forecasting / intan shafeenar ahmad mohtar
url https://ir.uitm.edu.my/id/eprint/89324/1/89324.pdf
https://ir.uitm.edu.my/id/eprint/89324/
url_provider http://ir.uitm.edu.my/