Revised normal ratio methods for imputation of missing rainfall data / Siti Nur Zahrah Amin Burhanuddin, Sayang Mohd Deni and Norazan Mohamed Ramli

Amin Burhanuddin, Siti Nur Zahrah and Mohd Deni, Sayang and Mohamed Ramli, Norazan (2016) Revised normal ratio methods for imputation of missing rainfall data / Siti Nur Zahrah Amin Burhanuddin, Sayang Mohd Deni and Norazan Mohamed Ramli. Scientific Research Journal, 13 (1). pp. 84-97. ISSN 1675-7009

[img] Text
AJ_SITI NUR ZAHRAH AMIN BURHANUDDIN SRJ 16.pdf

Download (24MB)

Abstract

A good quality of rainfall data is highly necessary in hydrological and meteorological analyses. Lack of quality in rainfall data will influence the process of analyses and subsequently, produce misleading results. Thus, this study is aimed to propose modified missing rainfall data treatment methods that produced more accurate estimation results. In this study, the old normal ratio method and the modified normal ratio based on trimmed mean are combined with geographical coordinate method. The performances of these modified methods were tested on various levels of the missing data of 36 years complete daily rainfall records from eighteen meteorology stations in Peninsular Malaysia. The results indicated that both modified methods improved the estimation of missing rainfall values at the target station based on the least error measurements. Modified normal ratio based on trimmed mean with geographical coordinate method is found to be the most appropriate method for station Batu Kurau and Sg. Bernam while modified old normal ratio with geographical coordinate is the most accurate in estimating the missing data at station Genting Klang.

Item Type: Article
Creators:
CreatorsID Num.
Amin Burhanuddin, Siti Nur ZahrahUNSPECIFIED
Mohd Deni, SayangUNSPECIFIED
Mohamed Ramli, NorazanUNSPECIFIED
Subjects: Q Science > QA Mathematics > Mathematical statistics. Probabilities > Data processing
Q Science > QA Mathematics > Mathematical statistics. Probabilities > Prediction analysis
Divisions: Institute of Research Management and Innovation (IRMI)
Journal or Publication Title: Scientific Research Journal
ISSN: 1675-7009
Volume: 13
Number: 1
Page Range: pp. 84-97
Item ID: 16134
Uncontrolled Keywords: Missing data; Estimation; Normal ratio; Geographical coordinate
Last Modified: 17 Feb 2017 08:12
Depositing User: Staf Pendigitalan 5
URI: http://ir.uitm.edu.my/id/eprint/16134

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year