#xf6 — Public Fediverse posts

Title: Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks.

Statistical postprocessing is used to translate ensembles of raw numerical
weather forecasts into reliable probabilistic forecast distributions. In this
study, we examine the use of permutation-invariant neural networks for this
task. In contrast to previous approache [...]

Authors: Kevin Höhlein, Benedikt Schulz, Rüdiger Westermann, Sebastian Lerch

Link: http://arxiv.org/abs/2309.04452

Title: Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks.

Statistical postprocessing is used to translate ensembles of raw numerical
weather forecasts into reliable probabilistic forecast distributions. In this
study, we examine the use of permutation-invariant neural networks for this
task. In contrast to previous approache [...]

Authors: Kevin Höhlein, Benedikt Schulz, Rüdiger Westermann, Sebastian Lerch

Link: http://arxiv.org/abs/2309.04452

Title: Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks.

Statistical postprocessing is used to translate ensembles of raw numerical
weather forecasts into reliable probabilistic forecast distributions. In this
study, we examine the use of permutation-invariant neural networks for this
task. In contrast to previous approache [...]

Authors: Kevin Höhlein, Benedikt Schulz, Rüdiger Westermann, Sebastian Lerch

Link: http://arxiv.org/abs/2309.04452

Title: Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks.

Statistical postprocessing is used to translate ensembles of raw numerical
weather forecasts into reliable probabilistic forecast distributions. In this
study, we examine the use of permutation-invariant neural networks for this
task. In contrast to previous approache [...]

Authors: Kevin Höhlein, Benedikt Schulz, Rüdiger Westermann, Sebastian Lerch

Link: http://arxiv.org/abs/2309.04452

Title: Towards Learned Emulation of Interannual Water Isotopologue Variations in General Circulation Models.

Simulating abundances of stable water isotopologues, i.e. molecules differing
in their isotopic composition, within climate models allows for comparisons
with proxy data and, thus, for testing hypotheses about past climate and
validati [...]

Authors: Jonathan Wider, Jakob Kruse, Nils Weitzel, Janica C. Bühler, Ullrich Köthe, Kira Rehfeld

Link: http://arxiv.org/abs/2301.13462

Title: Definition, detection, and tracking of persistent structures in atmospheric flows.

Long-lived flow patterns in the atmosphere such as weather fronts,
mid-latitude blockings or tropical cyclones often induce extreme weather
conditions. As [...]

Authors: Johannes von Lindheim, Abhishek Harikrishnan, Tom Dörffel, Rupert Klein, Péter Koltai, Natalia Mikula, Annette Müller, Peter Névir, George Pacey, Robert Polzin, Nikki Vercauteren

Link: http://arxiv.org/abs/2111.13645