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cs.LG2024★ 1 cited
Evaluating the transferability potential of deep learning models for climate downscaling
Ayush Prasad, Paula Harder, Qidong Yang +4
Climate downscaling, the process of generating high-resolution climate data from low-resolution simulations, is essential for understanding and adapting to climate change at region…
cs.AI2024
Climate Variable Downscaling with Conditional Normalizing Flows
Christina Winkler, Paula Harder, David Rolnick
Predictions of global climate models typically operate on coarse spatial scales due to the large computational costs of climate simulations. This has led to a considerable interest…