Integrating double techniques of statistical downscaling and bias correction to reduce bias in projections trends of future climate datasets.

ABSTRACT: Climate change is one of the most significant challenges of the 21st century, particularly its impact on surface water availability in arid and hyper-arid regions within the Euphrates River Basin. This study aims to analyze the impacts of climate change using five global climate models (GCMs) within the Coupled Model Intercomparison Project Phase 6 (CMIP6, IPCC 2021). Model outputs were statistically downscaled using Statistical Downscaling Model (SDSM 6.1) under three greenhouse gas emission scenarios, and bias correction was performed using Climate Model Data for Hydrologic Modeling (CMhyd 1.02). Performance evaluation was based on data from meteorological stations distributed across five climatic zones within the basin, covering the period from 1982 to 2023. The study results showed tha

SUBMITTER: Alasqah A 

PROVIDER: S-EPMC12368229 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature