Author

M. Chantry

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#machine learning Preprint Oct 2026

Varda-single-1.0: deterministic data-driven weather forecasting at 1 km resolution over Switzerland's complex topography

Varda-single represents an important step in the development of high-resolution ML forecasting over complex terrain, in complementing the operational regional numerical weather prediction models of MeteoSwiss with data-driven models and in providing a pretrained model for researchers and user-specific applications.

Alberto Pennino, Francesco Zanetta, Michele Cattaneo et al. · 0 citations

Preprint Jul 2026

HourGlass: A probabilistic data-driven temporal downscaler for global and regional weather forecasting

It is demonstrated that HourGlass effectively bridges the gap between 6-hourly data-driven forecasts and the hourly products required for operational regional and global forecasting.

Magnus Sikora Ingstad, Mariana Clare, Olav Ersland et al. · 3 citations

Preprint Jul 2026

Global reanalysis from observations alone with machine learning

Results from a prototype system that suggest that observation-trained machine learning models trained only on Earth system observations can be used to generate multi-decade global reanalyses without using physics-based numerical models.

Peter Lean, E. Pinnington, P. Laloyaux et al. · 0 citations