High-resolution meteorology with climate change impacts from global climate model data using generative machine learning

作者：Grant Buster, Brandon Benton, Andrew Glaws, Ryan N. King · 发表于：Nature Energy · 年份：2024 · DOI：10.1038/s41560-024-01507-9 · 被引用次数：58 · 研究领域：Meteorological Phenomena and Simulations、Climate variability and models、Computational Physics and Python Applications