18 citations · 24 across the 8 of their papers we have counts for
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cs.LG2025
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…
cs.LG2024★ 1 cited
Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts
Moritz Feik, Sebastian Lerch, Jan Stühmer
Ensemble forecasts from numerical weather prediction models show systematic errors that require correction via post-processing. While there has been substantial progress in flexibl…