Climate change projections using CMIP6 GCMs and downscaling approaches in the Upper Wabe Shebele Basin, Ethiopia.

ABSTRACT: Climate change presents considerable challenges, particularly for agrarian countries like Ethiopia. This study employed modeling and scenario-based methodologies to examine anticipated changes in precipitation and temperature in the Upper Wabe-Shebele River Basin. The study compared baseline data from 1986 to 2022 with two future projection periods: 2023 to 2053 and 2054 to 2086. Various bias correction techniques were applied to the precipitation and temperature datasets. For precipitation, the methods utilized include linear scaling, distribution mapping, empirical quantile mapping, and power transformation were utilized. Conversely, for temperature, power transformation was substituted with variance scaling, while the other three methods were employed for both datasets. The statistical

SUBMITTER: Beshir S 

PROVIDER: S-EPMC12606188 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature