Prediction of long lead monthly three-dimensional ocean temperature using time series gridded Argo data and a deep learning method
Ocean temperature is a vital physical variable of the oceans. Accurately predicting the long lead dynamics of the three-dimensional ocean temperature (3D-OT) can help us identify in advance potential extreme events (e.g., droughts and floods) that may be caused by the changes of the 3D-OT, which how...
Main Authors: | Changjiang Xiao, Xiaohua Tong, Dandan Li, Xiaojian Chen, Qiquan Yang, Xiong Xv, Hui Lin, Min Huang |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-08-01
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Series: | International Journal of Applied Earth Observations and Geoinformation |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843222001649 |
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