A Bias-Corrected HighResMIP Dataset for Impact Assessment Studies

Climate impact assessments increasingly require high-resolution climate projections that capture fine-scale processes. While the High Resolution Model Intercomparison Project (HighResMIP) provides global climate simulations at 25-50 km resolution without statistical downscaling, systematic biases still limit their direct application for impact assessment studies. Here we present BC-HiRMIP, the first comprehensive globally bias-adjusted HighResMIP experiments at daily temporal and 0.5° spatial resolution, covering the period 1979-2050. Across four global climate models (MPI-ESM1-2-XR, EC-Earth3P-HR, CNRM-CM6-1-HR, HadGEM3-GC31-HM), BC-HiRMIP includes up to 11 essential meteorological variables (temperature, precipitation, humidity, radiation, wind, and pressure), spanning equilibrium climate sensitivities of 2.99-5.62 °C. The datasets were bias adjusted using the ISIMIP3BASD v3.0.1 methodology that preserves model-projected climate change signals across distribution quantiles with W5E5 v2.0 as reference. Comprehensive validation across diverse climate zones demonstrates substantial bias reduction, minor differences between raw and bias-adjusted climate change signals and distributional characteristics. This standardized, multi-variable, multi-model dataset bridges the gap between climate modeling capabilities and impact assessment needs, enabling applications in hydrology, agriculture, renewable energy, and climate service research.