2 papers
stat.ME2026
Data-Efficient Generative Modeling of Non-Gaussian Global Climate Fields via Scalable Composite Transformations
Johannes Brachem, Paul F. V. Wiemann, Matthias Katzfuss
Quantifying uncertainty in climate-model output requires characterizing internal variability, often through large ensembles of physical climate-model runs. Since each additional en…
stat.ME2026
Generative multi-scale modeling via spatial autoregressive transport maps
Alejandro Calle-Saldarriaga, Paul F. V. Wiemann, Matthias Katzfuss
Spatial fields in the Earth and environmental sciences are often available at multiple scales or resolutions. While coarse-scale data (e.g., from global circulation models) are oft…