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Exploring multiyear-to-decadal North Atlantic sea level predictability and prediction using machine learning

Earth Sciences

Exploring multiyear-to-decadal North Atlantic sea level predictability and prediction using machine learning

Q. Gu, L. Zhang, et al.

Explore how coastal communities are battling the challenges of sea level rise and variability in the North Atlantic. This cutting-edge research conducted by Qinxue Gu, Liping Zhang, Liwei Jia, Thomas L. Delworth, Xiaosong Yang, Fanrong Zeng, William F. Cooke, and Shouwei Li employs a self-organizing map framework to uncover long-term climate predictability insights, showcasing the power of machine learning in addressing climate change.

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