Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/65551
Title: Evidence of chaotic behavior in Singapore rainfall
Authors: Sivakumar, B.
Liong, S.-Y. 
Liaw, C.-Y. 
Keywords: Chaotic and stochastic behaviors
Correlation dimension
Rainfall
Short-term prediction
Issue Date: Apr-1998
Source: Sivakumar, B.,Liong, S.-Y.,Liaw, C.-Y. (1998-04). Evidence of chaotic behavior in Singapore rainfall. Journal of the American Water Resources Association 34 (2) : 301-310. ScholarBank@NUS Repository.
Abstract: This paper focuses on the investigation of the existence of chaotic behavior in the Singapore rainfall data. The procedure for the determination of the minimum number of variables essential and the number of variables sufficient to model the dynamics of the rainfall process was studied. An analysis of the rainfall behavior of different time periods was also conducted. The correlation dimension was used as a basis for discriminating stochastic and chaotic behaviors. Daily rainfall records for durations of 30, 20, 10, 5, 4, 3, 2, and 1 years from six stations were analyzed. The delay time for the phase-space reconstruction was competed using the autocorrelation function approach. The results provide positive evidence of the existence of chaotic behavior in the daily rainfall data. The minimum number of variables essential to model the dynamics of the rainfall process was identified to be 3 while the number of variables sufficient to model the dynamics of the rainfall process ranges from 11 to 18. The results also suggest that the attractor dimensions of rainfall data of longer time periods are higher than that of shorter time periods. The study suggests a minimum number of 1500 data points required for the computation of the correlation dimension of the rainfall data.
Source Title: Journal of the American Water Resources Association
URI: http://scholarbank.nus.edu.sg/handle/10635/65551
ISSN: 1093474X
Appears in Collections:Staff Publications

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