OFICIAL Caltech News

Low-Level Cloud Loss Amplifies Global Warming

What happened
Based on Caltech News · Jul 24, 2026

New high-resolution simulations by Caltech and Google researchers indicate low-level ocean clouds thin rapidly under rising CO2, reducing sunlight reflection and amplifying global warming beyond some current climate model projections.

Low-Level Cloud Loss Amplifies Global Warming
Caltech News — Caltech
Key points
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Low-level clouds over the earth's oceans play a prominent role in keeping its planet cool by reflecting sunlight away from the surface.
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But their response to climate change has been hard to model.
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Now, researchers at Caltech and Google have uncovered important new insights about how clouds might respond to warming sea-surface temperatures and rising CO2 levels using a large and powerful dataset of simulations developed by the group.
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Wu Professor of Environmental Science and Engineering at Caltech and co-author of the paper; Schneider is also a principal scientist at Google.

Low-level marine clouds reflect sunlight and cool the planet, but their response to climate change has been uncertain. Researchers at Caltech and Google analyzed thousands of high-resolution simulations to assess how these clouds react to warmer seas and higher CO2. The findings, published July 24 in Science Advances, suggest low clouds thin significantly under elevated CO2, even when temperatures are held constant, intensifying warming through a feedback loop.

The team ran more than 7,000 simulations using NOAA global climate data and Google’s tensor processing units to model cloud behavior across 500 tropical Pacific locations during different seasons. Four climate scenarios were tested: a 4°C sea-surface temperature rise, quadrupled CO2, and combinations of both. The results indicate that cloud thinning accelerates as CO2 levels increase, challenging assumptions in some climate models that underestimate this sensitivity.

The study resolves fine-scale atmospheric turbulence that drives cloud formation, a challenge for traditional models. By leveraging AI-optimized hardware, the researchers achieved unprecedented computational scale, enabling simulations previously infeasible. The dataset, now public, allows scientists to refine turbulence and convection schemes in global climate models and explore past climates like the Eocene Epoch.

The findings support growing evidence that low clouds amplify warming, narrowing uncertainties in climate projections. The team, including members of the Climate Modeling Alliance, plans to integrate the dataset into a new AI-driven climate model to improve turbulence and convection representations. While widespread adoption may take time, the work offers a pathway to reduce long-standing uncertainties in climate predictions.

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