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Effects of Deep Learning Bias Correction and Carbon Neutrality on Projections of Future Population Exposure to Extreme PrecipitationNARA Subscribed
Spatiotemporal variations in extreme precipitation and their impacts on population exposure remain poorly understood due to biases in climate model projections and assumptions inherent in emission scenarios. In this study, we evaluate the bias‐correction performance of three deep learning techniques—Convolutional Neural Networks (CNN), Long Short‐Term Memory networks (LSTM), and hybrid CNN‐LSTM—using extreme precipitation indi...