Loop Current SSH Forecasting: A New Domain Partitioning Approach for a Machine Learning Model

Loop Current SSH Forecasting: A New Domain Partitioning Approach for a Machine Learning Model

A divide-and-conquer (DAC) machine learning approach was first proposed by Wang et al. to forecast the sea surface height (SSH) of the Loop Current System (LCS) in the Gulf of Mexico. In this DAC approach, the forecast domain was divided into non-overlapping partitions, each of which had their own p...

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Bibliographic Details
Main Authors: Justin L. Wang, Hanqi Zhuang, Laurent Chérubin, Ali Muhamed Ali, Ali Ibrahim
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Forecasting
Subjects:
Gulf of Mexico
loop current
SSH
forecasting
eddy shedding
machine learning
Online Access:https://www.mdpi.com/2571-9394/3/3/36

Internet

https://www.mdpi.com/2571-9394/3/3/36

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