Utilizing a temperature time-series prediction model to achieve good results can help us accurately sense the changes occurring in levels advance, which is important for human life. However, random fluctuations time series reduce accuracy of model. Decomposing data prior performing effectively influence and consequently improve results. In present study, we propose that combines seasonal-trend ...

abstract this research evaluates climate change effects on drought severity in the region of gharesou, iran. the standardized precipitation index (spi) has been used for estimation of drought severity. a geographical information system is applied for calculating the mean areal precipitation time series from 11 meteorological stations, in and out of the area for the hydrological period jan 1971-...