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multiple Jurassic cold snaps using stable carbon isotope fractionation measured in molecular fossils e.g. phytane. Integrated with Earth System models, this approach allows to quantify carbon–climate
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learning, understand their mathematical foundations, and connect them to space-related technologies and missions. The focus is on building rigorous models that explain and predict the behaviour of modern
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and evolution of Digital Twin Earth by undertaking collaborative research across a range of domains and advancing the use of EO for enhanced simulations, predictions and what-if scenarios. Supporting
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for graph machine learning as a form of decision support. These methods should help researchers understand both model behaviour and the underlying data. They should explain why a model makes a prediction