Analysis of drought in Perak using Global Satellite Mapping of Precipitation (GSMaP) / Nur Syafiqah Abdul Ghani, Nur Izzah Rohaidar and Nurul Maisarah Tajuddin

The study utilised data from the Global Satellite Mapping of Precipitation (GSMaP) to examine patterns in rainfall and drought in Perak, Malaysia. This model is one of the Numerical Weather Prediction (NWP) models, which includes the Global Forecast System (GFS) model that is developed by the Nation...

Full description

Saved in:
Bibliographic Details
Main Authors: Abdul Ghani, Nur Syafiqah, Rohaidar, Nur Izzah, Tajuddin, Nurul Maisarah
Format: Student Project
Language:English
Published: 2023
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/93490/1/93490.pdf
https://ir.uitm.edu.my/id/eprint/93490/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.93490
record_format eprints
spelling my.uitm.ir.934902024-04-20T01:23:52Z https://ir.uitm.edu.my/id/eprint/93490/ Analysis of drought in Perak using Global Satellite Mapping of Precipitation (GSMaP) / Nur Syafiqah Abdul Ghani, Nur Izzah Rohaidar and Nurul Maisarah Tajuddin Abdul Ghani, Nur Syafiqah Rohaidar, Nur Izzah Tajuddin, Nurul Maisarah Dissertations, Academic. Preparation of theses The study utilised data from the Global Satellite Mapping of Precipitation (GSMaP) to examine patterns in rainfall and drought in Perak, Malaysia. This model is one of the Numerical Weather Prediction (NWP) models, which includes the Global Forecast System (GFS) model that is developed by the National Centers for Environmental Prediction (NCEP). The objectives of this study were to assess the relationship between actual and forecast rainfall data and to examine rainfall and drought patterns. The data were gathered and visualised, where the maximum and lowest rainfall data were found, trends and frequency were examined, and the Root Mean Square Error (RMSE) was calculated to determine the accuracy of the predictions. The findings showed cyclical rainfall patterns, flooding susceptibility in different districts, and the prevalence of drought conditions in Gerik, Tapah, Lenggong, Ipoh, Bagan Datuk and Taiping. However, the RMSE study highlighted data availability restrictions and the need for stronger models for forecasting. The study suggests some activities, including cloud seeding for augmentation of the water supply, comprehensive flood control plans, early warning systems, community education campaigns, and climate change adaptation measures. In order to improve reaction and preparedness plans, more studies and collaboration with meteorological authorities are recommended. 2023 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/93490/1/93490.pdf Analysis of drought in Perak using Global Satellite Mapping of Precipitation (GSMaP) / Nur Syafiqah Abdul Ghani, Nur Izzah Rohaidar and Nurul Maisarah Tajuddin. (2023) [Student Project] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Dissertations, Academic. Preparation of theses
spellingShingle Dissertations, Academic. Preparation of theses
Abdul Ghani, Nur Syafiqah
Rohaidar, Nur Izzah
Tajuddin, Nurul Maisarah
Analysis of drought in Perak using Global Satellite Mapping of Precipitation (GSMaP) / Nur Syafiqah Abdul Ghani, Nur Izzah Rohaidar and Nurul Maisarah Tajuddin
description The study utilised data from the Global Satellite Mapping of Precipitation (GSMaP) to examine patterns in rainfall and drought in Perak, Malaysia. This model is one of the Numerical Weather Prediction (NWP) models, which includes the Global Forecast System (GFS) model that is developed by the National Centers for Environmental Prediction (NCEP). The objectives of this study were to assess the relationship between actual and forecast rainfall data and to examine rainfall and drought patterns. The data were gathered and visualised, where the maximum and lowest rainfall data were found, trends and frequency were examined, and the Root Mean Square Error (RMSE) was calculated to determine the accuracy of the predictions. The findings showed cyclical rainfall patterns, flooding susceptibility in different districts, and the prevalence of drought conditions in Gerik, Tapah, Lenggong, Ipoh, Bagan Datuk and Taiping. However, the RMSE study highlighted data availability restrictions and the need for stronger models for forecasting. The study suggests some activities, including cloud seeding for augmentation of the water supply, comprehensive flood control plans, early warning systems, community education campaigns, and climate change adaptation measures. In order to improve reaction and preparedness plans, more studies and collaboration with meteorological authorities are recommended.
format Student Project
author Abdul Ghani, Nur Syafiqah
Rohaidar, Nur Izzah
Tajuddin, Nurul Maisarah
author_facet Abdul Ghani, Nur Syafiqah
Rohaidar, Nur Izzah
Tajuddin, Nurul Maisarah
author_sort Abdul Ghani, Nur Syafiqah
title Analysis of drought in Perak using Global Satellite Mapping of Precipitation (GSMaP) / Nur Syafiqah Abdul Ghani, Nur Izzah Rohaidar and Nurul Maisarah Tajuddin
title_short Analysis of drought in Perak using Global Satellite Mapping of Precipitation (GSMaP) / Nur Syafiqah Abdul Ghani, Nur Izzah Rohaidar and Nurul Maisarah Tajuddin
title_full Analysis of drought in Perak using Global Satellite Mapping of Precipitation (GSMaP) / Nur Syafiqah Abdul Ghani, Nur Izzah Rohaidar and Nurul Maisarah Tajuddin
title_fullStr Analysis of drought in Perak using Global Satellite Mapping of Precipitation (GSMaP) / Nur Syafiqah Abdul Ghani, Nur Izzah Rohaidar and Nurul Maisarah Tajuddin
title_full_unstemmed Analysis of drought in Perak using Global Satellite Mapping of Precipitation (GSMaP) / Nur Syafiqah Abdul Ghani, Nur Izzah Rohaidar and Nurul Maisarah Tajuddin
title_sort analysis of drought in perak using global satellite mapping of precipitation (gsmap) / nur syafiqah abdul ghani, nur izzah rohaidar and nurul maisarah tajuddin
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/93490/1/93490.pdf
https://ir.uitm.edu.my/id/eprint/93490/
_version_ 1797925021584195584
score 13.18916