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allenai/ACE2-SOM
ACE2-SOM is a machine learning model from allenai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for fme. The card lists the license as apache-2.0.
<img src="ACE-logo.png" alt="Logo for the ACE Project" style="width: auto; height: 50px;"
Downloads · 30 days
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From the Hugging Face model README
Ai2 Climate Emulator (ACE) is a family of models designed to simulate atmospheric variability from the time scale of days to centuries.
Disclaimer: ACE models are research tools and should not be used for operational climate predictions.
ACE2-SOM is the first model we have trained to emulate the sensitivity of climate to substantial increases in carbon dioxide. It consists of ACE2 coupled to a highly simplified physics-based ocean model, called a slab ocean model (SOM), and is trained on equilibrium-climate output from GFDL's SHiELD model coupled to an identical slab ocean with carbon dioxide concentrations of the present-day, double the present-day, and quadruple the present-day (1xCO2, 2xCO2, and 4xCO2).
Quick links:
Briefly, the strengths of ACE2-SOM are:
Some known weaknesses are: