Global Bias-Corrected CORDEX Datasets at Half Degree Resolution.

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.