On Prediction of Subang, Selangor Daily Rainfall Data: An Application of Local Approximation Method

Authors

  • Nor Zila Abd Hamid
  • Mohd Salmi Md Noorani

Keywords:

rainfall, chaos, local approximation method, reconstruction of phase space

Abstract

Prediction has been done on the daily rainfall data taken from Subang Meteorology Station, Selangor, located in Malaysia. Firstly, the original daily rainfall data need to be systemized through the reconstruction of phase space approach (RPS). Then, the system was utilized to predict rainfall via local approximation method (LAM). Out of seven days predictions, the results are found to be in good agreement with the observed ones for five days. Even though the results seem well, the values of overall prediction errors are quite high. So, some analysis have been done, a few remarks are highlighted and a number of suggestions are proposed in order to produce better prediction.

Downloads

Download data is not yet available.

Author Biographies

Nor Zila Abd Hamid

Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900, Tanjung Malim, Perak, Malaysia

Mohd Salmi Md Noorani

School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

Downloads

Published

2019-01-19

How to Cite

Abd Hamid, N. Z., & Md Noorani, M. S. (2019). On Prediction of Subang, Selangor Daily Rainfall Data: An Application of Local Approximation Method. Journal of Science and Mathematics Letters, 4(2), 49–57. Retrieved from https://ojs.upsi.edu.my/index.php/JSML/article/view/395