Advancements and Challenges in Deep Learning-Driven Marine Data Assimilation: A Comprehensive Review
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Publisher
Apex Publishing
Link
http://crpase.com/archive/CRPASE-Vol-09-issue-04-2467341.pdf
Reference103 articles.
1. Bi, Kaifeng, et al. "Accurate medium-range global weather forecasting with 3D neural networks." Nature (2023): 1-6.
2. Ling, Fenghua, et al. "Multi-task machine learning improves multi-seasonal prediction of the Indian Ocean Dipole." Nature Communications 13.1 (2022): 7681.
3. Tiggeloven, Timothy, et al. "Exploring deep learning capabilities for surge predictions in coastal areas." Scientific reports 11.1 (2021): 17224.
4. Zhang, Yi, Dapeng Zhang, and Haoyu Jiang. "Review of Challenges and Opportunities in Turbulence Modeling: A Comparative Analysis of Data-Driven Machine Learning Approaches." Journal of Marine Science and Engineering 11.7 (2023): 1440.
5. Duraisamy, Karthik, Gianluca Iaccarino, and Heng Xiao. "Turbulence modeling in the age of data." Annual review of fluid mechanics 51 (2019): 357-377.
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