6. Conclusions

The results of this study proved that the Neyman-Scott rectangular pulse model is able to imitate the pattern of actual rainfall in Peninsular Malaysia by comparing the parameters as well as the spatial distribution of the means and probabilities of 1- and 24-h rain. Thus, the results from the NSRP model fitting for each station are valid to be used for further analysis, that is, to evaluate the behavior of storm rainfall.

1975–2004. Meteorology and Atmospheric Physics. 2010;110:118. Doi: 10.1007/s00703-

Analysis of Storm Rainfall in Peninsular Malaysia Using Neyman‐Scott Rectangular Pulse Modeling

http://dx.doi.org/10.5772/intechopen.70043

69

[7] Wong CL, Venneker R, Uhlenbrook S, Jamil ABM, Zhou Y. Variability of rainfall in Peninsular Malaysia. Hydrology and Earth System Sciences Discussion. 2009;6:5471-5503

[8] Deni SM, Suhaila J, Wan Zin WZ, Jemain AA. Tracing trends in the sequence of dry and wet days over Peninsular Malaysia. Journal of Environmental Science & Technology.

[9] Dale WL. The rainfall of Malaya, part I. The Journal of Tropical Geography. 1959;13:23-27 [10] Cowpertwait PSP. Further development of the Neyman-Scott clustered point process for

[11] Rodriguez-Iturbe I, Cox DR, Isham V. Some models for rainfall based on stochastic point

[12] Velghe T, Troch PA, De Troch FP, Van de Velde J. Evaluation of cluster-based rectangular pulses point process model for rainfall. Water Resources Research. 1994;30(10):2847-2857

[13] Entekhabi D, Rodriguez-Iturbe I, Eagleson PS. Probabilistic representation of the temporal rainfall process by a modified Neyman-Scott rectangular pulses model: Parameter

[14] Favre A-C, Musy A, Morgenthaler S. Unbiased parameter estimation of the Neyman-Scott model for rainfall simulation with related confidence interval. Journal of Hydrology.

[15] Calenda G, Napolatino F. Parameter estimation of Neyman-Scott process for temporal

processes. Proceedings of Royal Society of London Series A. 1987;410:69-288

estimation and validation. Water Resources Research. 1989;25:295-302

point rainfall simulation. Journal of Hydrology. 1999;225:45-66

2008;1(3):97-110. DOI: 10.3923/jest.2008.97.110.

modeling rainfall. Water Resources Research. 1991;27:1431-1438

010-0108-6

2004;286:168-178
