knowledge of behavior climatic indexes can be help to planning future programs bahabad study area in the eastern part of the province of yazd with a hot and dry climate, high potential evapotranspiration and low rainfall has a high potential for desertification. the aim of this research is evaluation of classification intensity by imdpa model with emphasis to climate criteria. the indices inclu...

abstract due to low spatial resolution or simplifying of some micrometeorological phenomena, atmospheric general circulation models are not able to give a good estimation for weather conditions over study area. so their outputs should downscale into weather stations scales. in this research data of hadcm3 downscaled by using lars-wg5 with three scenarios, confirmed by ipcc including a1b, a2 and...

a methodology is presented for the stochastic generation of daily rainfall which accounts for changes to the climatic inputs. the focus of the study is an example catchment in iran. the methodology addresses the inability of gcms to provide suitable future scenarios for the time and space scales required for a water resource impact assessment for a small catchment. one stochastic model for rain...

regional impact studies of the future climate change effects are necessary because projected changes in meteorological variables differ from one region to another, and different climate systems can react in varied ways to the same changes. in this study, the effects of climate change on bioclimatic deficiency were compared in two cultivation methods (irrigated and rainfed) in a semi-arid region...

abstract in this paper, we modeled the climate of iran for future periods. each period is a 30-years period centered on a year. the range of periods is from 2000 (i.e., 1986-2015) to 2100 (i.e., 2086-2115). this was made using 2 general circulation models (echam4 and hadcm2) and 18 ipcc scenarios. magicc-scengen was used as a tool for downscaling gcm low resolution output data. result of hadcm2...

climate change is found to be the most important global issue in the 21st century, so to monitor its trend is of great importance. atmospheric general circulation models because of their large scale computational grid are not able to predict climatic parameters on a point scale, so small scale methods should be adapted. among downscaling methods, statistical methods are used as they are easy to...

the need for more comparisons among models is widely recognized. this study aimed to compare three different modelling approaches for their capability to simulate and predict trends and patterns of winter wheat yield in western germany. the three modelling approaches included an empirical model, a process-based model (lintul2), and a metamodel derived from the process-based model. the models ou...

increasing greenhouse gases in recent decades and increasing its resulting temperature has causes the imbalance of the earth’s climate system and widespread climate changes in most regions of earth planet. development strategic policy in this area has been forced with a big challenge because of the need for water in the central region on the one hand and water resource constraints on the other ...