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New GloBCORD-HD climate datasets offer consistent, bias-corrected simulations for global impact assessments. This approach improves climate model reliability for future projections and historical analysis.

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Area of Science:

  • Climate Science
  • Environmental Science
  • Earth System Science

Background:

  • Coordinated Regional Climate Downscaling Experiments (CORDEX) provide high-resolution climate data but suffer from inconsistent bias correction.
  • Varying observational datasets and correction methods in CORDEX lead to unreliable impact assessments.
  • The Intersectoral Impact Model Intercomparison Project (ISIMIP) community requires consistent climate simulations for robust impact studies.

Purpose of the Study:

  • To introduce the quasi-global GloBCORD-HD datasets for consistent climate impact assessments.
  • To provide bias-corrected climate simulations using a unified methodology across multiple CORDEX experiments.
  • To enable robust global impact assessments by enhancing the consistency and reliability of climate data.

Main Methods:

  • Developed GloBCORD-HD datasets at daily temporal and 0.5° spatial resolution for historical (1950-2019) and future (2020-2099) periods.
  • Bias-corrected CORDEX experiments from MPI-M-MPI-ESM-LR, ICHEC-EC-EARTH, and NOAA-GFDL-GFDL-ESM2M using the ISIMIP3BASD v2.5 algorithm.
  • Utilized the GSWP3-W5E5 v2.0 observational dataset for bias correction across all regional domains.

Main Results:

  • GloBCORD-HD datasets demonstrate reduced biases compared to original CORDEX data.
  • Improved representation of regional climate extremes and enhanced consistency of climate signals.
  • Seamless boundary transitions were achieved, facilitating global-scale analysis.

Conclusions:

  • GloBCORD-HD provides a consistent and reliable foundation for global climate impact assessments.
  • The unified bias-correction approach enhances the robustness of future climate change projections.
  • These datasets support improved understanding and decision-making across various sectors affected by climate change.