A Bias-Corrected HighResMIP Dataset for Impact Assessment Studies
Fuseini Yakubu1,2, Jürgen Böhner3, Laurens M Bouwer4,3
1HAREME Lab, Institute of Geography, Earth and Society Research Hub, Universität Hamburg, Hamburg, Germany. fuseini.yakubu@hereon.de.
Scientific Data
|July 2, 2026
Summary
Bias-adjusted climate projections from BC-HiRMIP offer high-resolution data for impact studies. This new dataset enhances climate model usability for critical research areas.
Area of Science:
- Climate Science
- Earth System Science
- Environmental Modeling
Background:
- High-resolution climate projections are crucial for impact assessments.
- Existing High Resolution Model Intercomparison Project (HighResMIP) data have biases limiting direct use.
- Bridging the gap between climate modeling and impact assessment needs is essential.
Purpose of the Study:
- To present BC-HiRMIP, the first comprehensive, globally bias-adjusted HighResMIP dataset.
- To provide daily temporal and 0.5° spatial resolution climate data from 1979-2050.
- To enable more accurate climate impact assessments across various sectors.
Main Methods:
- Utilized four global climate models (MPI-ESM1-2-XR, EC-Earth3P-HR, CNRM-CM6-1-HR, HadGEM3-GC31-HM).
- Applied the ISIMIP3BASD v3.0.1 methodology for bias adjustment using W5E5 v2.0 as reference.
- Included 11 essential meteorological variables, covering a range of climate sensitivities.
Main Results:
- Demonstrated substantial bias reduction across diverse climate zones.
- Showcased minor differences between raw and bias-adjusted climate change signals.
- Validated the preservation of distributional characteristics and climate change signals.
Conclusions:
- BC-HiRMIP provides a standardized, multi-variable, multi-model dataset.
- The bias-adjusted data significantly enhances the applicability of HighResMIP for impact studies.
- This dataset supports research in hydrology, agriculture, renewable energy, and climate services.
