Abstract: Nowadays, the analysis of rainfall behavior is becoming important in many areas, particularly in water-related sectors such as hydrology, agriculture and water resource management. The expansion of irrigated agriculture, coupled with the development of industrialization and the rapid growth of population, contribute to the demand for the analysis of rainfall behaviour as such analysis can be utilized in rainfall forecasting and decision making. The main objective of this study is to evaluate the application Neyman-Scott Rectangular Pulse (NSRP) modeling in describing the storm rainfall in Peninsular Malaysia. This study also describing spatial analysis for the important statistics (mean and probability rain) and the storm behavior by using NSRP parameters in Peninsular Malaysia, based on hourly rainfall data from 50 selected rainfall stations which include four sub regions, namely Northwest, West, Southwest and East for the periods of 1970-2008. The results of this study proved that NSRP 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, results from the NSRP model fitting for each station are valid to be used in further analysis that is to evaluate the behavior of storm rainfall. Moreover, almost all areas in Peninsula experienced the same probability of rain an hour between 0.03 and 0.09 also the probability of rain 24 h significantly increase on September with value between 0.41 and 0.69 during SWM season.