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A Bias-Corrected HighResMIP Dataset for Impact Assessment Studies.

Fuseini Yakubu^1,2, Jürgen Böhner³, Laurens M Bouwer^4,3

¹HAREME Lab, Institute of Geography, Earth and Society Research Hub, Universität Hamburg, Hamburg, Germany. fuseini.yakubu@hereon.de.

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Summary

This summary is machine-generated.

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.

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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.