Climate change is a global issue that has impact on every living being in the world. Since Malaysia is located in the tropical area where there is no distinct four seasons, analysing rainfall has therefore become one of the common assessment tools for climate change. In this study, rainfall trends and spatial variations of Langat River Basin will be determined for the period of 1971-2012. Only ...

In this study a new conceptual model for partial duration series analysis was applied to determine the likely rainfall of the monsoon season and the pattern of rainfall events distribution. Example case study was carried out with rainfall data of semiarid area, Agra, India, experiencing extremes of yearly rainfall; ranging between high (1200 mm) to low (300 mm). The coefficient values for the e...

A multivariate approach based on hierarchical cluster analysis has been proposed to study the pattern of rainfall in different mandals of Visakhapatnam district of Andhra Pradesh. The approach was applied to study the rainfall patterns of 42 mandals based on 25 years of rainfall data of Visakhapatnam district from 1986-2010. The application of hierarchical clustering approaches single linkage, ...

There are limitations in using monthly rainfall totals in studies of rainfall climatology as well as in hydrological and agricultural investigations. Variations in rainfall may be considered to result from frequency changes in the daily rainfall of the respective regime. In the present study, daily rainfall data of the stations inside the Koyna catchment has been analysed for the period of 1961...

The west coast of the Indian peninsula receives very heavy rainfall during the summer monsoon (June-September) season with average rainfall over some parts exceeding 250 cm. Heavy rainfall events with rainfall more than 15 cm day −1 at one or more stations along the west coast of India occur frequently and cause considerable damage. out during the monsoon season of 2002 to study these events. T...

Topography is a significant factor influencing the spatial distribution of precipitation. This study developed a new methodology to evaluate and calibrate the Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis (TMPA) products by merging geographic and topographic information. In the proposed method, firstly, the consistency rule was introduced to evaluate the fitness of ...

We completed a meta-analysis of regional and global climate model simulations (n=96) of the impact of Amazonian deforestation on Amazon basin rainfall. Across all simulations, mean (±1σ) change in annual mean Amazon basin rainfall was 12 ± 11%. Variability in simulated rainfall was not explained by differences in model resolution or surface parameters. Across all simulations we find a negative ...

Accurate and consistent rainfall observations are vital for climatological studies in support of better planning and decision making. However, estimation of accurate spatial rainfall is limited by sparse rain gauge distributions. Satellite rainfall products can thus potentially play a role in spatial rainfall estimation but their skill and uncertainties need to be under-stood across spatialtime...

Higher variability in rainfall and river discharge could be of major importance in landslide generation in the northwestern Argentine Andes. Annual layered (varved) deposits of a landslide dammed lake in the Santa Maria Basin (26 S, 66 W) with an age of 30,000 C years provide an archive of precipitation variability during this time. The comparison of these data with present-day rainfall observa...