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

October 3, 2023Open Access

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

OWOliver Watt‐MeyerArcharithms (United States)GDGideon DresdnerAllen Institute for Artificial Intelligence JMJeremy McGibbonAllen Institute for Artificial Intelligence

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Resumen

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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Cite This Study

Watt‐Meyer et al. (Tue,) studied this question.

synapsesocial.com/papers/6a63b56584b804377828dfe6 https://doi.org/https://doi.org/10.48550/arxiv.2310.02074