Comparisons between the window-based and storm-event analysis

Rainfalls data have been broadly used in researches including in hydrological and meteorological areas. Two common ways in extracting observations from hourly rainfalls data are the window-based analysis (WBA) and storm-event analysis (SEA) approach. However, the differences in the qualitative and q...

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Main Authors:	Noratiqah Mohd Ariff, Abdul Aziz Jemain
Format:	Article
Language:	English
Published:	Universiti Kebangsaan Malaysia 2012
Online Access:	http://journalarticle.ukm.my/5574/ http://journalarticle.ukm.my/5574/ http://journalarticle.ukm.my/5574/1/07%2520Noratiqah.pdf

id	ukm-5574
recordtype	eprints
spelling	ukm-55742016-12-14T06:38:51Z http://journalarticle.ukm.my/5574/ Comparisons between the window-based and storm-event analysis Noratiqah Mohd Ariff, Abdul Aziz Jemain, Rainfalls data have been broadly used in researches including in hydrological and meteorological areas. Two common ways in extracting observations from hourly rainfalls data are the window-based analysis (WBA) and storm-event analysis (SEA) approach. However, the differences in the qualitative and quantitative properties of both methods are still vaguely discussed. The aim of studying these dissimilarities is to understand the effects of each approach in modelling and analysis. The qualitative difference is due to the way the two analyses define the accumulated rainfalls for observations which are referred to as rainfall and storm depths, respectively. The repetitiveness of rainfall depths provide nested structure while the storm depths are considered independent. The quantitative comparisons include their statistical and scaling properties that are linked by the self-similarity concept from simple scaling characteristics. If self-similarity concept holds, then the rainfall or storm depths follow simple scaling and the analysis would be simplified. The rainfall depths showed clearer simple scaling characteristics compared to the storm depths. Though the storm depths do not yield self-similarity for a large range of storm duration but the characteristics of simple scaling can be observed for a reduced range of the considered duration. In general, the context of the research and the region of the time interval and duration will be an important aspects to consider in choosing which method is best to use for analyzing the data. Universiti Kebangsaan Malaysia 2012-11 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/5574/1/07%2520Noratiqah.pdf Noratiqah Mohd Ariff, and Abdul Aziz Jemain, (2012) Comparisons between the window-based and storm-event analysis. Sains Malaysiana, 41 (11). pp. 1377-1387. ISSN 0126-6039 http://www.ukm.my/jsm/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Rainfalls data have been broadly used in researches including in hydrological and meteorological areas. Two common ways in extracting observations from hourly rainfalls data are the window-based analysis (WBA) and storm-event analysis (SEA) approach. However, the differences in the qualitative and quantitative properties of both methods are still vaguely discussed. The aim of studying these dissimilarities is to understand the effects of each approach in modelling and analysis. The qualitative difference is due to the way the two analyses define the accumulated rainfalls for observations which are referred to as rainfall and storm depths, respectively. The repetitiveness of rainfall depths provide nested structure while the storm depths are considered independent. The quantitative comparisons include their statistical and scaling properties that are linked by the self-similarity concept from simple scaling characteristics. If self-similarity concept holds, then the rainfall or storm depths follow simple scaling and the analysis would be simplified. The rainfall depths showed clearer simple scaling characteristics compared to the storm depths. Though the storm depths do not yield self-similarity for a large range of storm duration but the characteristics of simple scaling can be observed for a reduced range of the considered duration. In general, the context of the research and the region of the time interval and duration will be an important aspects to consider in choosing which method is best to use for analyzing the data.
format	Article
author	Noratiqah Mohd Ariff, Abdul Aziz Jemain,
spellingShingle	Noratiqah Mohd Ariff, Abdul Aziz Jemain, Comparisons between the window-based and storm-event analysis
author_facet	Noratiqah Mohd Ariff, Abdul Aziz Jemain,
author_sort	Noratiqah Mohd Ariff,
title	Comparisons between the window-based and storm-event analysis
title_short	Comparisons between the window-based and storm-event analysis
title_full	Comparisons between the window-based and storm-event analysis
title_fullStr	Comparisons between the window-based and storm-event analysis
title_full_unstemmed	Comparisons between the window-based and storm-event analysis
title_sort	comparisons between the window-based and storm-event analysis
publisher	Universiti Kebangsaan Malaysia
publishDate	2012
url	http://journalarticle.ukm.my/5574/ http://journalarticle.ukm.my/5574/ http://journalarticle.ukm.my/5574/1/07%2520Noratiqah.pdf
first_indexed	2023-09-18T19:44:29Z
last_indexed	2023-09-18T19:44:29Z
_version_	1777405809022468096

Comparisons between the window-based and storm-event analysis

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