Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields With a Generative Adversarial Network. - Jussi Leinonen; Daniele Nerini; Alexis Berne (IEEE Trans. Geosci. Remote. Sens., 2021)

Physics-constrained deep learning postprocessing of temperature and humidity. - Francesco Zanetta; Daniele Nerini; Tom Beucler; Mark A. Liniger (CoRR, 2022)

Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification. - Jussi Leinonen; Ulrich Hamann; Daniele Nerini; Urs Germann; Gabriele Franch (CoRR, 2023)

Improving Predictions of Convective Storm Wind Gusts through Statistical Post-Processing of Neural Weather Models. - Antoine Leclerc; Erwan Koch; Monika Feldmann; Daniele Nerini; Tom Beucler (CoRR, 2025)

PeakWeather: MeteoSwiss Weather Station Measurements for Spatiotemporal Deep Learning. - Daniele Zambon; Michele Cattaneo; Ivan Marisca; Jonas Bhend; Daniele Nerini; Cesare Alippi (CoRR, 2025)