A New Transformer Network for Short-Term Global Sea Surface Temperature Forecasting: Importance of Eddies

A New Transformer Network for Short-Term Global Sea Surface Temperature Forecasting: Importance of Eddies

Short-term sea surface temperature (SST) forecasts are crucial for operational oceanology. This study introduces a specialized Transformer model (U-Transformer) to forecast global short-term SST variability and compares its performance with Convolutional Long Short-Term Memory (ConvLSTM) and Residua...

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Bibliographic Details
Main Authors: Tao Zhang, Pengfei Lin, Hailong Liu, Pengfei Wang, Ya Wang, Weipeng Zheng, Zipeng Yu, Jinrong Jiang, Yiwen Li, Hailun He
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Remote Sensing
Subjects:
global sea surface temperature
mesoscale eddies
deep learning
forecast
Online Access:https://www.mdpi.com/2072-4292/17/9/1507
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