introduction: hydrology cycle of river basins and water resources availability in arid and semi-arid regions are highly affected by climate changes, so that recently the increase of temperature due to the increase of greenhouse gases have led to anomaly in the earth’ climate system. at present, general circulation models (gcms) are the most frequently used models for projection of different cli...

The World Climate Research Programme (WCRP) is backing an international initiative called the COordinated Regional climate Downscaling EXperiment (CORDEX). The goal of the initiative is to provide regionally downscaled climate projections for most land regions of the globe, as a compliment to the global climate model projections performed within the fifth Coupled Model Intercomparison Project (...

abstract development and evaluation of mitigation strategies are very crucial to manage climate change risk. research objectives of this study were (1) to quantify the response of maize grain yield to potential impacts of climate change and (2) to investigate the effectiveness of changing sowing date of maize as a mitigation option for khorasan province which is located in northeast of iran. tw...

Land cover change (LCC) and climate (CC) impacts on streamflow in high elevated catchments are a great challenge to sustainable management the development of water resources. This study evaluates possible future both land streamflows Mohmand Dam catchment, Pakistan, by utilizing semi-distributed hydrological model known as Soil Water Assessment Tool (SWAT), along with latest Coupled Model Inter...

One of the most important Limitation General Circulation Models , Large scale are being simulation of climatic variables. So should With Various method are downscaled, The ability to have identified a study area. Choose a suitable GCM model for the study area Very important role In the simulation  parameter (precipitation) is intended for future. In this research of CMIP5 Models Contains BCC-CS...

Abstract. General circulation model (GCM) outputs are a primary source of information for climate change impact assessments. However, raw GCM data rarely used directly regional-scale assessments as they frequently contain systematic error or bias. In this article, we propose novel extension to standard quantile mapping that allows continuous seasonal in bias magnitude using localized regression...

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...

Evaluating global climate model (GCM) outputs is essential for accurately simulating future hydrological cycles using models. The GCM multi-model ensemble (MME) precipitation simulations of the Climate Model Intercomparison Project Phases 5 and 6 (CMIP5 CMIP6, respectively) were spatially temporally downscaled according to a multi-site statistical downscaling method Hanjiang River Basin (HRB), ...

Simulations of crop yields under climate change are subject to uncertainties whose quantification is important for effective use of projected results for adaptation and mitigation strategies. In the US Pacific Northwest (PNW), studies based on single crop models and weather projections downscaled from a few general circulation models (GCM) have indicated mostly beneficial effects of climate cha...