climate change prediction of south khorasan province during 2010-2039 by using statistical downscaling of echo-g data

abstract in this research, four meteorological set of data including maximum temperature, minimum temperature, precipitation and radiation from echo-g, under a1scenario have been used for climate change detection over south khorasan. echo-g is a general circulation model that currently is used in hamburg university and korea meteorological research institute. in this research climate change assessment has been studied for the period of 2010-2039. analysis of downscaled meteorological parameters by lars-wg model over six meteorological stations of south khorasan have been performed. the results showed that annual mean of precipitation will increase by 4 percent. annual mean temperature are projected to increase by 0.3 °c, with maximum temperature increase of 1°c in winters. our results revealed that the number of dry days in northern stations including boshruyeh, ferdous and ghayen will increase in comparison to the their normal values but it will decrease in the southern stations of birjand, khor and nehbandan.