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Updated: Jun 12, 2026

Using Generative Art to Convey Past and Future Climate Transitions

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

Deep learning reveals enhanced ENSO predictability under historical anthropogenic forcing.

Zikuan Lin^1,2, Yishuai Jin^1,3, Chengfei He⁴

¹State Key Laboratory of Physical Oceanography/Physical Oceanography Laboratory, Ocean University of China, Qingdao, China.

Science Advances

|June 10, 2026

Summary

Anthropogenic climate change enhances El Niño-Southern Oscillation (ENSO) predictability by 14%. This is due to strengthened ocean-atmosphere feedbacks, particularly the advective and thermocline feedbacks, in a warming climate.

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Last Updated: Jun 12, 2026

Using Generative Art to Convey Past and Future Climate Transitions

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

Area of Science:

Climate Science
Oceanography
Atmospheric Science

Background:

Understanding El Niño-Southern Oscillation (ENSO) predictability is crucial for climate change projections.
Anthropogenic climate change significantly influences ocean-atmosphere dynamics.

Purpose of the Study:

To investigate how ENSO predictability responds to historical anthropogenic forcing.
To identify the key ocean-atmosphere feedbacks responsible for changes in ENSO predictability.

Main Methods:

Application of a deep learning model (convolutional neural network).
Utilized Coupled Model Intercomparison Project Phase 6 (CMIP6) historical and preindustrial control simulations.
Employed a leave-one-out model strategy for robust analysis.

Main Results:

ENSO predictability is statistically enhanced by 14.0 ± 1.8% under historical anthropogenic forcing.
This enhancement is linked to a shoaling of the equatorial Pacific thermocline.
Strengthened three-dimensional advective and thermocline feedbacks contribute to improved predictability.

Conclusions:

Anthropogenic forcing plays a significant role in shaping ENSO predictability in a warming climate.
Changes in ocean-atmosphere feedbacks, driven by warming, enhance ENSO predictability.
Findings underscore the importance of considering anthropogenic influences on climate variability.