Deep Learning

On the phenomena-oriented validation of spatial neural-network based surface wind downscaling over the Arctic seas
Neural-network based downscaling offers a computationally efficient alternative to high-resolution dynamical modeling, yet its …
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Assessment of Atmospheric Dynamics Based on Neural-Network Downscaling of Near-Surface Wind Speed Fields over the Barents and Kara Seas
This study examines the use of a deep learning approach for spatial downscaling (increasing spatial resolution) of near-surface wind …
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