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

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:English
Published: 2023
Online Access:https://ir.uitm.edu.my/id/eprint/89324/1/89324.pdf
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spelling my-uitm-ir.893242024-01-17T07:46:55Z Quantitative precipitation forecast using NWP WRF-ANN model for hydrometeorological flood forecasting / Intan Shafeenar Ahmad Mohtar 2023 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 https://ir.uitm.edu.my/id/eprint/89324/ https://ir.uitm.edu.my/id/eprint/89324/1/89324.pdf text en public phd doctoral Universiti Teknologi MARA (UiTM) Faculty of Civil Engineering Tahir, Wardah Tahir (Prof. Ts. Dr.)
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Tahir, Wardah Tahir (Prof. Ts. Dr.)
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
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Ahmad Mohtar, Intan Shafeenar
spellingShingle Ahmad Mohtar, Intan Shafeenar
Quantitative precipitation forecast using NWP WRF-ANN model for hydrometeorological flood forecasting / Intan Shafeenar Ahmad Mohtar
author_facet Ahmad Mohtar, Intan Shafeenar
author_sort Ahmad Mohtar, Intan Shafeenar
title 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_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_sort quantitative precipitation forecast using nwp wrf-ann model for hydrometeorological flood forecasting / intan shafeenar ahmad mohtar
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Civil Engineering
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/89324/1/89324.pdf
_version_ 1794192213820833792

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