Extraction Method of Extreme Rainfall Data

This study is aimed to describe step by step procedure in extracting extreme rainfall data series. Basically, the extraction of extreme rainfall data can be achieved using two methods, block maxima (BM) and peak over threshold (POT) methods. The BM method considers extracting the extreme rainfall da...

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Main Authors: Roslinazairimah, Zakaria, Noor Fadhilah, Ahmad Radi, Siti Zanariah, Satari
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/18915/
http://umpir.ump.edu.my/id/eprint/18915/
http://umpir.ump.edu.my/id/eprint/18915/
http://umpir.ump.edu.my/id/eprint/18915/1/Extraction%20Method%20of%20Extreme%20Rainfall%20Data.pdf
id ump-18915
recordtype eprints
spelling ump-189152018-10-03T04:13:31Z http://umpir.ump.edu.my/id/eprint/18915/ Extraction Method of Extreme Rainfall Data Roslinazairimah, Zakaria Noor Fadhilah, Ahmad Radi Siti Zanariah, Satari Q Science (General) QA75 Electronic computers. Computer science This study is aimed to describe step by step procedure in extracting extreme rainfall data series. Basically, the extraction of extreme rainfall data can be achieved using two methods, block maxima (BM) and peak over threshold (POT) methods. The BM method considers extracting the extreme rainfall data recorded each year during a specific duration, meanwhile the POT method is extracting all extreme rainfall data above a predefined threshold. Using the BM method, the regional pooling of 1-, 3-, 5- and 10-day are used and the maximum rainfall data are chosen among the pooled day within each year. For POT method, two methods are presented. Method 1 of POT method determines a threshold based on 95% percentile while Method 2 determines the threshold graphically using mean residual life plot and threshold stability plot. Based on the selection of the threshold value, a simulation study is conducted to identify the range of appropriate quantile estimate for a proper selection of the threshold value. For illustration of the methodology, daily rainfall data from the rainfall station at Klinik Chalok Barat, Terengganu is chosen. Both methods used are able to identify the extreme rainfall series. This study is important as it helps in identifying the good set of extreme rainfall series for further use such as in extreme rainfall modelling. IOP Publishing 2017 Conference or Workshop Item PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/18915/1/Extraction%20Method%20of%20Extreme%20Rainfall%20Data.pdf Roslinazairimah, Zakaria and Noor Fadhilah, Ahmad Radi and Siti Zanariah, Satari (2017) Extraction Method of Extreme Rainfall Data. In: Journal of Physics: Conference Series, 1st International Conference on Applied & Industrial Mathematics and Statistics 2017 (ICoAIMS 2017), 8-10 August 2017 , Kuantan, Pahang, Malaysia. pp. 1-7., 890 (012154). ISSN 1742-6588 (print); 1742-6596 (online) http://dx.doi.org/10.1088/1742-6596/890/1/012154 doi: 10.1088/1742-6596/890/1/012154
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic Q Science (General)
QA75 Electronic computers. Computer science
spellingShingle Q Science (General)
QA75 Electronic computers. Computer science
Roslinazairimah, Zakaria
Noor Fadhilah, Ahmad Radi
Siti Zanariah, Satari
Extraction Method of Extreme Rainfall Data
description This study is aimed to describe step by step procedure in extracting extreme rainfall data series. Basically, the extraction of extreme rainfall data can be achieved using two methods, block maxima (BM) and peak over threshold (POT) methods. The BM method considers extracting the extreme rainfall data recorded each year during a specific duration, meanwhile the POT method is extracting all extreme rainfall data above a predefined threshold. Using the BM method, the regional pooling of 1-, 3-, 5- and 10-day are used and the maximum rainfall data are chosen among the pooled day within each year. For POT method, two methods are presented. Method 1 of POT method determines a threshold based on 95% percentile while Method 2 determines the threshold graphically using mean residual life plot and threshold stability plot. Based on the selection of the threshold value, a simulation study is conducted to identify the range of appropriate quantile estimate for a proper selection of the threshold value. For illustration of the methodology, daily rainfall data from the rainfall station at Klinik Chalok Barat, Terengganu is chosen. Both methods used are able to identify the extreme rainfall series. This study is important as it helps in identifying the good set of extreme rainfall series for further use such as in extreme rainfall modelling.
format Conference or Workshop Item
author Roslinazairimah, Zakaria
Noor Fadhilah, Ahmad Radi
Siti Zanariah, Satari
author_facet Roslinazairimah, Zakaria
Noor Fadhilah, Ahmad Radi
Siti Zanariah, Satari
author_sort Roslinazairimah, Zakaria
title Extraction Method of Extreme Rainfall Data
title_short Extraction Method of Extreme Rainfall Data
title_full Extraction Method of Extreme Rainfall Data
title_fullStr Extraction Method of Extreme Rainfall Data
title_full_unstemmed Extraction Method of Extreme Rainfall Data
title_sort extraction method of extreme rainfall data
publisher IOP Publishing
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/18915/
http://umpir.ump.edu.my/id/eprint/18915/
http://umpir.ump.edu.my/id/eprint/18915/
http://umpir.ump.edu.my/id/eprint/18915/1/Extraction%20Method%20of%20Extreme%20Rainfall%20Data.pdf
first_indexed 2023-09-18T22:27:01Z
last_indexed 2023-09-18T22:27:01Z
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