1 citations · 1 across the 4 of their papers we have counts for
4 papers
Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS)
Sebastian Lerch, Benedikt Schulz, Reinhold Hess +4
We present the CIENS dataset, which contains ensemble weather forecasts from the operational convection-permitting numerical weather prediction model of the German Weather Service.…
Probabilistic measures afford fair comparisons of AIWP and NWP model output
Tilmann Gneiting, Tobias Biegert, Kristof Kraus +3
We introduce a new measure for fair and meaningful comparisons of single-valued output from artificial intelligence based weather prediction (AIWP) and numerical weather prediction…
Probabilistic intraday electricity price forecasting using generative machine learning
Jieyu Chen, Sebastian Lerch, Melanie Schienle +2
The growing importance of intraday electricity trading in Europe calls for improved price forecasting and tailored decision-support tools. In this paper, we propose a novel generat…
Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods
Jieyu Chen, Kevin Höhlein, Sebastian Lerch
Large-scale numerical simulations often produce high-dimensional gridded data that is challenging to process for downstream applications. A prime example is numerical weather predi…