Enhancing climate modelling agility through emulator-driven frameworks

August 10, 2026Open Access

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Key Points

The research aims to improve climate models' flexibility by developing bivariate emulators that can better assess emission impacts.
Analysed existing climate emulators and identified research gaps, focusing on single-variable assessments.
Developed a bivariate emulator to jointly model temperature and precipitation.
Demonstrated the practical application of emulators by analyzing the impact of high-income groups on extreme weather and quantifying economic costs of exceeding 1.5 °C.
Findings indicate that incorporating high-income group emissions significantly influences extremes like heatwaves and drought.
Quantification of economic costs associated with exceeding climate thresholds revealed substantial uncertainties, highlighting the importance of flexibility in models.

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Explores climate modelling flexibility for assessing emissions impacts, suggesting better decision-making.

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Sarah Schöngart (2026) studied this question.

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