Evaluation of spatial interpolation methods and spatiotemporal modeling of rainfall distribution in Peninsular Malaysia

Atmospheric thermodynamics; Interpolation; Inverse problems; Rain; Scales (weighing instruments); Geographical weighted regressions; Interpolation method; Inverse distance weighting; Rainfall distribution; Spatial interpolation; Spatial interpolation method; Spatio-temporal models; Spatiotemporal an...

Full description

Saved in:
Bibliographic Details
Main Authors: Fung K.F., Chew K.S., Huang Y.F., Ahmed A.N., Teo F.Y., Ng J.L., Elshafie A.
Other Authors: 57199218602
Format: Article
Published: Ain Shams University 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-26961
record_format dspace
spelling my.uniten.dspace-269612023-05-29T17:38:10Z Evaluation of spatial interpolation methods and spatiotemporal modeling of rainfall distribution in Peninsular Malaysia Fung K.F. Chew K.S. Huang Y.F. Ahmed A.N. Teo F.Y. Ng J.L. Elshafie A. 57199218602 57261663400 55807263900 57214837520 35249518400 57192698412 16068189400 Atmospheric thermodynamics; Interpolation; Inverse problems; Rain; Scales (weighing instruments); Geographical weighted regressions; Interpolation method; Inverse distance weighting; Rainfall distribution; Spatial interpolation; Spatial interpolation method; Spatio-temporal models; Spatiotemporal analysis; Climate change Spatial interpolation is important for visualizing changes of parameters over space. Interpolation methods for the spatiotemporal analysis of rainfall pattern changes of Peninsular Malaysia due to climate change were evaluated. Inverse Distance Weighting (IDW) and Ordinary Kriging (OK), Geographical Weighted Regression (GWR) and Multi-scale Geographical Weighted Regression (MGWR) methods were used. Based on the statistic results of RMSE, MAE and R2, the MGWR was the best performing model. To investigate the spatial interpolations with the MGWR, the period considered was arbitrarily and conveniently divided into six 5-year sub-periods for spatiotemporal analysis. Monthly Rainfall, Number of Wet Days and Maximum Daily Rainfall were parameters identified for the analyses. The results showed that the Peninsular Malaysia generally receives relatively higher rainfall amounts and intensities over the northern part of the East Coast region, while lower values were commonly received at the Central region. Changes in spatial pattern were also observed in the maps generated for the onset and withdrawal months of both the Northeast Monsoons and the Southwest Monsoons. The sub-period analyses also showed that Peninsular Malaysia has gradual increase of rainfall intensity due to climate change and is susceptible and vulnerable to El Nino/La Nina events. Hence, in the future Peninsular Malaysia is likely to have increasing occurrence of extreme rainfall events. � 2021 THE AUTHORS Final 2023-05-29T09:38:10Z 2023-05-29T09:38:10Z 2022 Article 10.1016/j.asej.2021.09.001 2-s2.0-85115112968 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115112968&doi=10.1016%2fj.asej.2021.09.001&partnerID=40&md5=f27c992763be3fb1da21430aeca3a9ce https://irepository.uniten.edu.my/handle/123456789/26961 13 2 101571 All Open Access, Gold Ain Shams University Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Atmospheric thermodynamics; Interpolation; Inverse problems; Rain; Scales (weighing instruments); Geographical weighted regressions; Interpolation method; Inverse distance weighting; Rainfall distribution; Spatial interpolation; Spatial interpolation method; Spatio-temporal models; Spatiotemporal analysis; Climate change
author2 57199218602
author_facet 57199218602
Fung K.F.
Chew K.S.
Huang Y.F.
Ahmed A.N.
Teo F.Y.
Ng J.L.
Elshafie A.
format Article
author Fung K.F.
Chew K.S.
Huang Y.F.
Ahmed A.N.
Teo F.Y.
Ng J.L.
Elshafie A.
spellingShingle Fung K.F.
Chew K.S.
Huang Y.F.
Ahmed A.N.
Teo F.Y.
Ng J.L.
Elshafie A.
Evaluation of spatial interpolation methods and spatiotemporal modeling of rainfall distribution in Peninsular Malaysia
author_sort Fung K.F.
title Evaluation of spatial interpolation methods and spatiotemporal modeling of rainfall distribution in Peninsular Malaysia
title_short Evaluation of spatial interpolation methods and spatiotemporal modeling of rainfall distribution in Peninsular Malaysia
title_full Evaluation of spatial interpolation methods and spatiotemporal modeling of rainfall distribution in Peninsular Malaysia
title_fullStr Evaluation of spatial interpolation methods and spatiotemporal modeling of rainfall distribution in Peninsular Malaysia
title_full_unstemmed Evaluation of spatial interpolation methods and spatiotemporal modeling of rainfall distribution in Peninsular Malaysia
title_sort evaluation of spatial interpolation methods and spatiotemporal modeling of rainfall distribution in peninsular malaysia
publisher Ain Shams University
publishDate 2023
_version_ 1806425719581966336
score 13.214268