Short- to Medium-Term Sea Surface Height Prediction in the Bohai Sea Using an Optimized Simple Recurrent Unit Deep Network

Short- to Medium-Term Sea Surface Height Prediction in the Bohai Sea Using an Optimized Simple Recurrent Unit Deep Network

Global warming has intensified the rise in sea levels and has caused severe ecological disasters in shallow coastal waters such as the Northeastern China's Bohai Sea. The prediction of the sea surface height anomaly (SSHA) has great significance in the context of monitoring changes in sea level...

Full description

Bibliographic Details
Main Authors: Pengfei Ning, Cuicui Zhang, Xuefeng Zhang, Xiaoyi Jiang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Marine Science
Subjects:
short-to medium-term
sea surface height
recurrent neural network
simple recurrent unit
deeplearning model
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2021.672280/full

Similar Items

Similar Items