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physics.ao-ph2025
An intercomparison of generative machine learning methods for downscaling precipitation at fine spatial scales
Neelesh Rampal, Bryn Ward-Leikis, Yun Sing Koh +7
Machine learning (ML) offers a computationally efficient approach for generating large ensembles of high-resolution climate projections, but deterministic ML methods often smooth f…
physics.ao-ph2015★ 431 cited
Stochastic Parameterization: Towards a new view of Weather and Climate Models
Judith Berner, Ulrich Achatz, Lauriane Batte +23
The last decade has seen the success of stochastic parameterizations in short-term, medium-range and seasonal forecasts: operational weather centers now routinely use stochastic pa…