CSACL: A Channel Spatial Attention Convolutional LSTM Model for Short-Term Sea Surface Temperature Prediction
Author:
Affiliation:
1. School of Electronic Information Engineering, Harbin Institute of Technology, Harbin, China
2. Department of Scientific Research, China Institute of Marine Technology and Economy, Beijing, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10365397/10364744.pdf?arnumber=10364744
Reference14 articles.
1. Initial Evaluation of the Sensor-Specific Error Statistics in the NOAA Advanced Clear-Sky Processor for Oceans SST System: Diurnal Variation Signals Captured
2. High and Ultra-High resolution processing of satellite Sea Surface Temperature data over Southern European Seas in the framework of MyOcean project
3. A statistical approach to Indian Ocean sea surface temperature prediction using a dynamical ENSO prediction
4. Prediction of sea surface temperature in the tropical Atlantic by support vector machines
5. Prediction of Sea Surface Temperature in the South China Sea by Artificial Neural Networks
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