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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…
stat.AP2025★ 1 cited
A Bayesian Ensemble Projection of Climate Change and Technological Impacts on Future Crop Yields
Dan Li, Vassili Kitsios, David Newth +1
This paper introduces a Bayesian hierarchical modeling framework within a fully probabilistic setting for crop yield estimation, model selection, and uncertainty forecasting under…