Observations of rainfall data are always changing over time . With the concern over climate change , this study is done to demonstrate how Generalized Linear Models (GLMs) could be utilized to model daily rainfall amount over Johor and Kelantan areas. Hence, in modeling rainfall amount, Fourier series are used as the smoothing techn ique. This re earch concentrated on the daily rainfall series with the dura tion period of 1985 to 201 1 from three rainfall stations in Johor and another three in Kelantan area. The results indicated that the rainfall stations demonstrate different behaviours of rainfall patterns. One harmonic is sufficient to model the mean rainfall per rainy day at the stations that are located at the Johor area while four ha...
Climate change is receiving more attention from researchers as the frequency of occurrence of severe...
Three transfer function based statistical downscaling namely, linear regression model (LM), generali...
This paper assesses the performance of Statistical Downscaling Model (SDSM) as climate agent to gene...
Rainfall modeling has been used to identify the characteristics of the rainfall occurrence and rainf...
Changes in the spatial and temporal rainfall pattern which affected by the climate change need to be...
Observations of rainfall data are always changing over time. With the concern over climate change, t...
Generalized linear models (GLMs) are used in understanding the impact of predictors on a dependent v...
Rainfall is a random and probabilistic phenomenon that plays a great role in the life of humans. The...
General circulation models (GCMs) have been widely used in the climate community, to generate the fu...
Changes in the spatial and temporal rainfall pattern affected by the climate change need to be inves...
This paper study on the development of intensity duration frequency (IDF) curve at study area of Sun...
The modeling of the rainfall process has been of interest in simulation studies to assess its impact...
Modeling of rainfall is important for assessing the possible impacts of climate change. To achieve a...
Modeling of rainfall is important for assessing the possible impacts of climate change. To achieve a...
Rainfall intensity is the main input variable in various hydrological analysis and modeling. Unfortu...
Climate change is receiving more attention from researchers as the frequency of occurrence of severe...
Three transfer function based statistical downscaling namely, linear regression model (LM), generali...
This paper assesses the performance of Statistical Downscaling Model (SDSM) as climate agent to gene...
Rainfall modeling has been used to identify the characteristics of the rainfall occurrence and rainf...
Changes in the spatial and temporal rainfall pattern which affected by the climate change need to be...
Observations of rainfall data are always changing over time. With the concern over climate change, t...
Generalized linear models (GLMs) are used in understanding the impact of predictors on a dependent v...
Rainfall is a random and probabilistic phenomenon that plays a great role in the life of humans. The...
General circulation models (GCMs) have been widely used in the climate community, to generate the fu...
Changes in the spatial and temporal rainfall pattern affected by the climate change need to be inves...
This paper study on the development of intensity duration frequency (IDF) curve at study area of Sun...
The modeling of the rainfall process has been of interest in simulation studies to assess its impact...
Modeling of rainfall is important for assessing the possible impacts of climate change. To achieve a...
Modeling of rainfall is important for assessing the possible impacts of climate change. To achieve a...
Rainfall intensity is the main input variable in various hydrological analysis and modeling. Unfortu...
Climate change is receiving more attention from researchers as the frequency of occurrence of severe...
Three transfer function based statistical downscaling namely, linear regression model (LM), generali...
This paper assesses the performance of Statistical Downscaling Model (SDSM) as climate agent to gene...