Abstract This paper was aimed to study the impact of climate change on hydrology Andasa watershed for period 2013–2099. The soil and water assessment tool (SWAT) calibrated validated, thereby used balance. future scenarios were developed using outputs from Hadley Center Climate Model version 3 (HadCM3) A2 (high) B2 (low) emission Canadian Earth System 2 (CanESM2) Representative concentration pa...

Downscaling global weather prediction model outputs to individual locations or local scales is a common practice for operational weather forecast in order to correct the model outputs at subgrid scales. This paper presents an empirical-statistical downscaling method for precipitation prediction which uses a feed-forward multilayer perceptron MLP neural network. The MLP architecture was optimize...

     Investigation of drought event has a great importance in the natural resources and water resources management and planning. In this research, the effect of the climate change on drought characteristics in Khoy station was investigated using the HadCM3 model under B2 scenario. The statistical downscaling was executed using SDSM 4.2.9 and observed daily precipitation, observed predictors and...

This study aims to investigate how changes in meteorological indicators affect groundwater resources, and hence predict levels using these indicators, particularly regions experiencing drought subsidence. Precipitation, temperature, evapotranspiration precipitable water vapor (PWV) are important parameters levels. Two subsidence areas with different weather conditions were selected conduct a co...

Statistical downscaling is commonly used in climate modeling to obtain high-resolution spatial projections of future climate scenarios from the coarse-resolution outputs projected by global climate models. Unfortunately, most of the statistical downscaling approaches using standard regression methods tend to emphasize projecting the conditional mean of the data while paying scant attention to t...

prediction of climatic variables on a local scale by general circulation models of the atmosphere is impossible because the models have large-scale network of resolution. therefore, downscaling methods are used to solve this problem. since the climate change phenomenon can affect different systems such as, water resources, agriculture, environment, industry and economy as well, selection of the...