2 papers
physics.ao-ph2020
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…
cs.GR2019
A Comparison of Rendering Techniques for Large 3D Line Sets with Transparency
Michael Kern, Christoph Neuhauser, Torben Maack +3
This paper presents a comprehensive study of interactive rendering techniques for large 3D line sets with transparency. The rendering of transparent lines is widely used for visual…