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Atmos. Oceanic Sci. Lett.
2023 Vol. 16 No. 4
Published: 16 June 2023
Special Issue: Machine Learning Applications for Atmospheric and Oceanic Sciences
A machine learning approach to quality-control Argo temperature data
Qi Zhang, Chenyan Qian, Changming Dong
2023 Volume 16 Issue4 100292
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U-Net: A deep-learning method for improving summer precipitation forecasts in China
Qimin Deng, Peirong Lu, Shuyun Zhao, Naiming Yuan
2023 Volume 16 Issue4 100322
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3D DBSCAN detection and parameter sensitivity of the 2022 Yangtze River summertime heatwave and drought
Zhenchen Liu, Wen Zhou, Yuan Yuan
2023 Volume 16 Issue4 100324
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A spatiotemporal 3D convolutional neural network model for ENSO predictions: A test case for the 2020/21 La Niña conditions
Lu Zhou, Chuan Gao, Rong-Hua Zhang
2023 Volume 16 Issue4 100330
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Intelligent identification of oceanic eddies in remote sensing data via Dual-Pyramid UNet
Nan Zhao, Baoxiang Huang, Xinmin Zhang, Linyao Ge, Ge Chen
2023 Volume 16 Issue4 100335
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Short-term wind speed forecasting bias correction in the Hangzhou area of China based on a machine learning model
Yi Fang, Yunfei Wu, Fengmin Wu, Yan Yan, Qi Liu, Nian Liu, JiangJiang Xia
2023 Volume 16 Issue4 100339
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Wave forecast in the Atlantic Ocean using a double-stage ConvLSTM network
Lin Ouyang, Fenghua Ling, Yue Li, Lei Bai, Jing-Jia Luo
2023 Volume 16 Issue4 100347
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Prediction of ENSO using multivariable deep learning
Yue Chen, Xiaomeng Huang, Jing-Jia Luo, Yanluan Lin, Jonathon S. Wright, Youyu Lu, Xingrong Chen, Hua Jiang, Pengfei Lin
2023 Volume 16 Issue4 100350
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A deep learning–based U-Net model for ENSO-related precipitation responses to sea surface temperature anomalies over the tropical Pacific
Yuchao Zhu, Ronghua Zhang
2023 Volume 16 Issue4 100351
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Deep learning in extracting tropical cyclone intensity and wind radius information from satellite infrared images—a review
Chong Wang, Xiaofeng Li
2023 Volume 16 Issue4 100373
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