The coastlines have been identified as the most vulnerable regions with respect to
hydrological hazards as a result of climate change and variability. The east of peninsular …

Daily gridded rainfall data over Peninsular Malaysia are delineated using an objective
clustering algorithm, with the objective of classifying rainfall grids into groups of …

This study aims to trace changes in the dry spells over Peninsular Malaysia based on the
daily rainfall data from 36 selected rainfall stations which include four subregions, namely …

Drought characteristics are important in designing the program and measures for drought
mitigation and they have been used extensively by various parties in many countries. In …

Stochastic rainfall models have been widely used for hydrological modelling and climate
change impact studies, the accuracy of which can substantially affect the reliability of water …

Statistical models for total monthly rainfall used for forecasting, risk management and
agricultural simulations are usually based on gamma distributions and variations. In this …

The main concern of this study is to build a functional data object from discrete rainfall
observations by looking at how rainfall fluctuates, both spatially and temporally, in the form …

The identification of the most appropriate models to represent the rainfall distribution is very
important as it can be utilised in various applications such as those in water resource …

A tropical country like Malaysia is characterized by intense localized precipitation with
temperatures remaining relatively constant throughout the year. A stochastic modeling of …

 is study analyzed the behavior of daily rainfall in the State of Paraíba using the data from
five meteorological stations distributed across the mesoregions of this state. We used the …