Processed climate and renewable-energy datasets and reproducibility code for reliability optimization of hybrid wind-solar systems in the Upper Yangtze River Basin

This dataset contains the processed climate data, ERA5 reference data, derived wind and solar capacity factors, and reproducibility code used in the study “Reliability optimization of hybrid wind-solar energy systems in the Upper Yangtze River Basin under climate change: A CMIP6-based assessment”. The dataset includes monthly bias-corrected sfcWind, rsds, and tas from 10 CMIP6 models for the historical period (1985–2014), near future (2031–2060), and far future (2071–2100) under SSP2-4.5 and SSP5-8.5, together with ERA5 reference data and derived wind/solar capacity-factor products. All gridded data cover 20°N–45°N and 90°E–115°E on a common 0.25° × 0.25° grid. The repository also provides the scripts used for ERA5 preprocessing, CMIP6 regridding, bias correction, capacity-factor calculation, complementarity analysis, and future wind-solar optimization.