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 ...

an analysis of seasonal rainfall over iran for a period of 30 years (1971-2000) shows a significant variability in spatial and temporal distributions of rainfall as well as its frequency and intensity. in this paper, the likely effects of enso on the rainfall anomalies are investigated. the accumulated monthly and seasonal rainfalls from 43 synoptic stations are taken through the islamic republ...

We present a detailed analysis of summer monsoon rainfall over the Indian peninsular using nonlinear spatial correlations. This analysis is carried out employing the tools of complex networks and a measure of nonlinear correlation for point processes such as rainfall, called event synchronization. This study provides valuable insights into the spatial organization, scales, and structure of the ...

In urban areas, hydrological processes are characterized by high variability in space and time, making them sensitive to small-scale temporal and spatial rainfall variability. In the last decades new instruments, techniques, and methods have been developed to capture rainfall and hydrological processes at high resolution. Weather radars have been introduced to estimate high spatial and temporal...

Monsoonal rainfall in the Himalaya dominates erosion and sediment transport through the fluvial system. In addition to the strong seasonal nature of the Indian summer monsoon, striking interannual variations in monsoonal strength characterize longer records. For example, during any given year, rain may penetrate further into the orogen, even though peak rainfall amounts almost always occur at t...

BACKGROUND The amount and distribution of rainfall and temperature influences household food availability, thus increasing the risk of child under nutrition. However, few studies examined the local spatial variability and the impact of temperature and rainfall on child under nutrition at a smaller scale (resolution). We conducted this study to evaluate the effect of weather variables on child u...

Studies on vegetation geographical distribution patterns are often associated with the causal factors such as rainfall, soils or temperature patterns. Reasonably accurate and reliable maps of the climatic and edaphic factors are not always readily available, and when they are, their usefulness in biogeographical investigations is constrained by the quality of the data. Variability of rainfall i...

One of the major concerns today is global warming and climate change impacts, and how they are changing the distribution and behaviour of the plant species. For example, Proteas species in the Cape Floristic Region, South Africa, are very sensitive to climate change. In this paper, we first arguing and the random fuzzy error structure for spatial modelling accuracy and then we are focusing on t...

Rainfall data are often collected at coarser spatial scales than required for input into hydrology and agricultural models. We therefore describe a spatio-temporal model which allows multiple imputation of rainfall at fine spatial resolutions, with a realistic dependence structure in both space and time and with the total rainfall at the coarse scale consistent with that observed. The method in...

Correlation in space between seasonality of malaria and seasonality of rainfall was studied in Sri Lanka. A simple seasonality index was developed by making use of the bimodal seasonality of both malaria and rainfall. The malaria seasonality index was regressed against the rainfall seasonality index taking spatial autocorrelation into account. Despite the presence of spatial autocorrelation, th...