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physics.ao-ph2026
Climate Downscaling with Stochastic Interpolants (CDSI)
Erik Larsson, Ramon Fuentes-Franco, Mikhail Ivanov +1
Global climate projections rely on computationally demanding Earth System Models (ESMs), which are typically limited to coarse spatial resolutions due to their high cost. To obtain…
physics.ao-ph2025★ 1 cited
Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings
Simon Adamov, Joel Oskarsson, Leif Denby +8
Machine learning is revolutionizing global weather forecasting, with models that efficiently produce highly accurate forecasts. Apart from global forecasting there is also a large…