ACE: A fast, skillful learned global atmospheric model for climate prediction

2023/10/03 by Oliver Watt‐Meyer, Watt-Meyer, Oliver, Gideon Dresdner +21 · 11 citations
Earth and Planetary Sciences · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #FOS: Computer and information sciences #FOS: Physical sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations

paper · pdf · doi:10.48550/arxiv.2310.02074

openalex publication_date 2023/10/03 · openalex created_date 2023/10/05 · openalex updated_date 2026/07/28

Abstract

Dataset for Ai2 Climate Emulator This dataset contains a minimal example set of files and configuration to use for inference with the Ai2 Climate Emulator (ACE). Please see https://github.com/ai2cm/ace to install the necessary software. The included checkpoint is the same ace checkpoint as referenced in (https://zenodo.org/records/10791087). See README.md for a description of the included files.v1.1: The initial condition zarr stores were erroneously missing all values in the first upload. These files have been fixed in this update.

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• ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses
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