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Updated: Jan 18, 2026

Using Generative Art to Convey Past and Future Climate Transitions
Published on: March 31, 2023
Yiqian Ni1,2, Yang Yang1,2, Hailong Wang3
1State Key Laboratory of Climate System Prediction and Risk Management/Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control/Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology/Joint International Research Laboratory of Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China.
Machine learning corrects biases in global climate models for more accurate future ozone projections, crucial for air quality and health assessments.
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