A 450M-parameter AI atmospheric model trained on reanalysis data stably reproduces 80 years of climate variability and trends, but its separate CO2 sensitivity is not physically realistic.
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ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses
A 450M-parameter AI atmospheric model trained on reanalysis data stably reproduces 80 years of climate variability and trends, but its separate CO2 sensitivity is not physically realistic.