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physics.ao-ph2022
Visual Analysis of Multiple Dynamic Sensitivities along Ascending Trajectories in the Atmosphere
Christoph Neuhauser, Maicon Hieronymus, Michael Kern +3
Numerical weather prediction models rely on parameterizations for subgrid-scale processes, e.g., for cloud microphysics. These parameterizations are a well-known source of uncertai…
physics.ao-ph2020★ 108 cited
A comparative study of convolutional neural network models for wind field downscaling
Kevin Höhlein, Michael Kern, Timothy Hewson +1
We analyze the applicability of convolutional neural network (CNN) architectures for downscaling of short-range forecasts of near-surface winds on extended spatial domains. Short-r…