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Machine Learning for Bias Correction in Climate Models, with Application to Forecasting Heatwaves

Nivron, OmerUniversity of Cambridge2024

Climate models are an imperfect representation of reality. They simplify physical processes and sacrifice spatial and temporal resolutions to stay within the limits of super-computing, introducing biases that diminish their accuracy. This thesis presents a novel machine-learning framework and model …

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