Abstract Due to the fact that one of important ways describing performance basins is use hydrological signatures, present study investigates effects climate change using signatures in Azarshahr Chay basin, Iran. To this end, Canadian Earth system model (CanESM2) first used predict future (2030–2059) under two Representative Concentration Pathways (RCP2.6 and RCP8.5). Six signature indices were ...

Abstract In this study, the artificial neural network (ANN) method was applied to investigate impacts of climate change on water quantity and quality Qu'Appelle River in Saskatchewan, Canada. First, second-generation Canadian earth system model (CanESM2) adopted predict future conditions. The Statistical DownScaling Model (SDSM) then downscale generated data. To analyze river, concentrations di...

Abstract Future changes in the frequency of extreme drought events are vital importance for risk assessment and relevant policy making. But a reliable estimation their probability is intrinsically challenging due to limited available observations or simulations. Here, we use two large ensemble simulations, 50 members from CanESM2 40 CESM1 under future RCP8.5 scenario, elaborate projection 100-y...

This study assessed the impact of climate change on monthly streamflow in Verde River Basin, located Grande Basin headwater. For this purpose, SWAT and VIC hydrological models were used to simulate under RCP4.5 RCP8.5 scenarios, obtained by Regional Climate Models Eta-HadGEM2-ES, Eta-CanESM2 Eta-MIROC5 baseline period (1961-2005) three time-slice (2011-2040, 2041-2070, 2071-2099) inputs. At end...

climate change has various effects on the quantity of rainfall and warming also is lead to increases in frequency and intensity of droughts by accelerating earth drying up and consequently. it is effective on the curves of severity- duration- frequency of drought (sdf). the purpose of this study is to evaluate the effects of climate change on sdf curves in the future in qareh su basin located i...

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...

Abstract. There is a strong scientific and social interest in understanding the factors leading to extreme events order improve management of risks associated with hazards like droughts. In this study, artificial neural networks are applied predict occurrence drought two contrasting European domains, Munich Lisbon, lead time 1 month. The approach takes into account list 28 atmospheric soil vari...