A comparison of method for treating missing daily rainfall data in Peninsular Malaysia

Authors

DOI:

https://doi.org/10.11113/mjfas.v13n4-1.781

Keywords:

Daily rainfall, imputation, inverse distance, homogeneity

Abstract

This study modified a method for treating missing values in daily rainfall data from 104 selected rainfall stations. The daily rainfall data were obtained from the Department of Irrigation and Drainage Malaysia (DID) for the periods of 1965 to 2015. The missing values throughout the 51 years period were estimated using the various types of weighting methods. In determining the best imputation method, three test for evaluating model performance has been used. The findings of this study indicate that the proposed method is more efficient than the traditional method. The homogeneity of the data series was checked using the homogeneity tests recommended by the existing literatures. The results indicated that more than 40% of the rainfall stations were homogenous based on the proposed method.

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Published

05-12-2017