Capturing the uncertainty in probabilistic wind power forecasts is challenging, especially when uncertain input variables, such as weather, play a role. Since ensemble weather predictions aim to capture system, they can be used propagate this through subsequent forecasting models. However, systems are known biased and underdispersed, meteorologists post-process ensembles. This post-processing s...

Quantifying uncertainty in weather forecasts is critical, especially for predicting extreme events. This typically accomplished with ensemble prediction systems, which consist of many perturbed numerical simulations, or trajectories, run parallel. These systems are associated a high computational cost and often involve statistical post-processing steps to inexpensively improve their raw qualiti...

Polarization may be sensed by imaging modules. This is done in various engineering systems as well as in biological systems, specifically by insects and some marine species. However, polarization per pixel is usually not the direct variable of interest. Rather, polarization-related data serve as a cue for recovering task-specific scene information. How should polarization-picture post-processin...

Polarization may be sensed by imaging modules. This is done in various engineering systems as well as in biological systems, specifically by insects and some marine species. However, polarization per pixel is usually not the direct variable of interest. Rather, polarization-related data serve as a cue for recovering task-specific scene information. How should polarization-picture post-processin...