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<p>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.</p>

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A Bias-Corrected HighResMIP Dataset for Impact Assessment Studies

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月2日

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  • Fuseini Yakubu,
  • Jürgen Böhner,
  • Laurens M. Bouwer,
  • Shabeh ul Hasson

摘要

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.