3 papers
physics.ao-ph2024
Topographic Visualization of Near-surface Temperatures for Improved Lapse Rate Estimation
Kevin Höhlein, Timothy Hewson, Rüdiger Westermann
Numerical model forecasts of near-surface temperatures are prone to error. This is because terrain can exert a strong influence on temperature that is not captured in numerical wea…
stat.ML2023
Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks
Kevin Höhlein, Benedikt Schulz, Rüdiger Westermann +1
Statistical postprocessing is used to translate ensembles of raw numerical weather forecasts into reliable probabilistic forecast distributions. In this study, we examine the use o…
cs.CV2023
Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles
Fatemeh Farokhmanesh, Kevin Höhlein, Christoph Neuhauser +4
We present the first neural network that has learned to compactly represent and can efficiently reconstruct the statistical dependencies between the values of physical variables at…