BACKGROUND In the tropics, rainfall data are seldom accurately recorded, and are often discontinuous in time. In the scope of plague-research in northeast Tanzania, we adapted previous research to reconstruct rainfall patterns at a suitable resolution (1 km), based on time series of NDVI: more accurate satellite imagery was used, in the form of MODIS NDVI, and rainfall data were collected from ...

The aim of this paper is to test the Multivariate Linear Parametric Models applied to daily rainfall series. These simple models allow to generate synthetic series preserving both the time correlation (autocorrelation) and the space correlation (crosscorrelation). To have synthetic daily series, in such a way realistic and usable, it is necessary the application of a corrective procedure, remov...

Summer monsoon rainfall contributes more than 75% of the annual in India. For state Maharashtra, India, this is 80% for almost all regions state. The high variability during period necessitates classification rainy and non-rainy days. While there are various approaches to classification, paper proposes based on weather variables. This explores use support vector machine (SVM) artificial neural ...

in recent decades, neyshabour basin as a semi-arid climate has faced with dramatic increasing of groundwater withdrawal. so, water demand management is important in this basin. in this study, the effects of evapotranspiration and rainfall on groundwater fluctuations have been considered with 22 rain gage and evaporation gage station data during 1973-2006. the average amount of rainfall and evap...