Assessment of rainfall distribution over peninsular Malaysia using satellite-based rainfall data

Rainfall distribution is spatial and temporal variability. High spatial and temporal resolution data are required for studying the rainfall distribution over Peninsular Malaysia. The availability of accurate rainfall data at proper temporal and spatial scale is vital for water resources sustainable...

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Main Author:	Noor Ain , Mohd Nasir@Mazlan
Format:	Undergraduates Project Papers
Language:	English
Published:	2015
Subjects:	QC Physics
Online Access:	http://umpir.ump.edu.my/id/eprint/10854/ http://umpir.ump.edu.my/id/eprint/10854/ http://umpir.ump.edu.my/id/eprint/10854/1/NOOR%20AIN%20BINTI%20MOHD%20NASIR%20%40%20MAZLAN.PDF

id	ump-10854
recordtype	eprints
spelling	ump-108542015-10-22T01:10:22Z http://umpir.ump.edu.my/id/eprint/10854/ Assessment of rainfall distribution over peninsular Malaysia using satellite-based rainfall data Noor Ain , Mohd Nasir@Mazlan QC Physics Rainfall distribution is spatial and temporal variability. High spatial and temporal resolution data are required for studying the rainfall distribution over Peninsular Malaysia. The availability of accurate rainfall data at proper temporal and spatial scale is vital for water resources sustainable planning and security. Thus, satellite-based is an alternative source of information especially for developing country like Malaysia where there are many areas that do not have ground observation. The main objective of this study was to assess rainfall distribution over Peninsular Malaysia using satellite-based rainfall. The specific objectives as follows; To produce monthly average rainfall satellitebased map; and To analyze the rainfall distribution statistically. Data is collected from TRIMIrVI Multi-satellite Precipitation Analysis (TMPA) version 7 based images as monthly rainfall from public domain for 5 years period of time (July 2009-June 2014). Rainfall data from the satellite were processed and converted into Geographical Information System (GIS) ready to produce map. Monthly rainfall distribution is statistically analysed and assessed. For study period, July 2009-June 2014, the average of annual rainfall distribution from TMPA satellite- based calibrated image is 2376 mm, 4.6% more than previous report. The annual rainfall distribution for 5 years period time of July 2009-June 2010, July 2010-June 2011, July 2011-June 2012, July 2012-June 2013 and July 2013June 2014 are 2490 mm(equal previous report), 2439 mm (<2%),2532 mm (>17 1/6), 2372 mm (<5%) and 2048 mm (<18%), respectively.Error! Bookmark not defined. 2015-01 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/10854/1/NOOR%20AIN%20BINTI%20MOHD%20NASIR%20%40%20MAZLAN.PDF Noor Ain , Mohd Nasir@Mazlan (2015) Assessment of rainfall distribution over peninsular Malaysia using satellite-based rainfall data. Faculty of Civil Engineering and Earth Resources, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:88528&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QC Physics
spellingShingle	QC Physics Noor Ain , Mohd Nasir@Mazlan Assessment of rainfall distribution over peninsular Malaysia using satellite-based rainfall data
description	Rainfall distribution is spatial and temporal variability. High spatial and temporal resolution data are required for studying the rainfall distribution over Peninsular Malaysia. The availability of accurate rainfall data at proper temporal and spatial scale is vital for water resources sustainable planning and security. Thus, satellite-based is an alternative source of information especially for developing country like Malaysia where there are many areas that do not have ground observation. The main objective of this study was to assess rainfall distribution over Peninsular Malaysia using satellite-based rainfall. The specific objectives as follows; To produce monthly average rainfall satellitebased map; and To analyze the rainfall distribution statistically. Data is collected from TRIMIrVI Multi-satellite Precipitation Analysis (TMPA) version 7 based images as monthly rainfall from public domain for 5 years period of time (July 2009-June 2014). Rainfall data from the satellite were processed and converted into Geographical Information System (GIS) ready to produce map. Monthly rainfall distribution is statistically analysed and assessed. For study period, July 2009-June 2014, the average of annual rainfall distribution from TMPA satellite- based calibrated image is 2376 mm, 4.6% more than previous report. The annual rainfall distribution for 5 years period time of July 2009-June 2010, July 2010-June 2011, July 2011-June 2012, July 2012-June 2013 and July 2013June 2014 are 2490 mm(equal previous report), 2439 mm (<2%),2532 mm (>17 1/6), 2372 mm (<5%) and 2048 mm (<18%), respectively.Error! Bookmark not defined.
format	Undergraduates Project Papers
author	Noor Ain , Mohd Nasir@Mazlan
author_facet	Noor Ain , Mohd Nasir@Mazlan
author_sort	Noor Ain , Mohd Nasir@Mazlan
title	Assessment of rainfall distribution over peninsular Malaysia using satellite-based rainfall data
title_short	Assessment of rainfall distribution over peninsular Malaysia using satellite-based rainfall data
title_full	Assessment of rainfall distribution over peninsular Malaysia using satellite-based rainfall data
title_fullStr	Assessment of rainfall distribution over peninsular Malaysia using satellite-based rainfall data
title_full_unstemmed	Assessment of rainfall distribution over peninsular Malaysia using satellite-based rainfall data
title_sort	assessment of rainfall distribution over peninsular malaysia using satellite-based rainfall data
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/10854/ http://umpir.ump.edu.my/id/eprint/10854/ http://umpir.ump.edu.my/id/eprint/10854/1/NOOR%20AIN%20BINTI%20MOHD%20NASIR%20%40%20MAZLAN.PDF
first_indexed	2023-09-18T22:10:56Z
last_indexed	2023-09-18T22:10:56Z
_version_	1777415022728708096

Assessment of rainfall distribution over peninsular Malaysia using satellite-based rainfall data

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