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Updated: Jan 18, 2026

Using Generative Art to Convey Past and Future Climate Transitions
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从化学气候模型中对臭氧度进行基于机器学习的偏差校正的未来预测

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.

Environmental science & technology
|January 16, 2026
PubMed
概括

机器学习纠正了全球气候模型中的偏差,以更准确地预测未来的臭氧,这对于空气质量和健康评估至关重要.

关键词:
偏见纠正 偏见纠正未来的预测 未来的预测机器学习是机器学习.臭氧层中的臭氧.

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