Climate Physicists Face the Ghosts in Their Machines: Clouds (quantamagazine.org)
(Monday February 23, 2026 @10:30PM (msmash)
from the cloudy-with-a-chance-of-existential-crisis dept.)
Climate scientists trying to predict how much hotter the planet will get have long grappled with a surprisingly stubborn problem -- clouds, which [1]both reflect sunlight and trap heat , account for more than half the variation between climate predictions and are the main reason warming projections for the next 50 years range from 2 to 6 degrees Celsius.
Two research groups are now racing to close that gap using AI, though they disagree sharply on method. Tapio Schneider at Caltech built CLIMA, a model that uses machine learning to optimize cloud parameters within traditional physics equations; it will be unveiled at a conference in Japan in March. Chris Bretherton at the Allen Institute for AI took a different path -- his ACE2 neural network, released in 2024, learns from 50 years of atmospheric data and largely bypasses physics equations altogether.
[1] https://www.quantamagazine.org/climate-physicists-face-the-ghosts-in-their-machines-clouds-20260220/
Two research groups are now racing to close that gap using AI, though they disagree sharply on method. Tapio Schneider at Caltech built CLIMA, a model that uses machine learning to optimize cloud parameters within traditional physics equations; it will be unveiled at a conference in Japan in March. Chris Bretherton at the Allen Institute for AI took a different path -- his ACE2 neural network, released in 2024, learns from 50 years of atmospheric data and largely bypasses physics equations altogether.
[1] https://www.quantamagazine.org/climate-physicists-face-the-ghosts-in-their-machines-clouds-20260220/