CORDIS Project
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EUNICE aims to enhance climate change assessments by improving the quantification of uncertainties in long-term climate stabilization pathways. The project employs advanced statistical methods, machine learning, and decision-making frameworks to provide more reliable scenarios and recommendations for effective climate…
Mathematical models have become central tools in global environmental assessments.
To serve society well, climate change stabilization assessments need to capture the uncertainties of the deep future, be statistically sound and track near-term disruptions.
Up to now, conceptual, computational and data constraints have limited the quantification of uncertainties of climate stabilization pathways to a narrow set, focused on the current century.
The statistical interpretation of scenarios generated…
POLITECNICO DI MILANO
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