Graph-Based Memory Recall Recurrent Neural Network for Mid-Term Sea-Surface Height Anomaly Forecasting
Author:
Affiliation:
1. School of Electrical and Information Engineering, Tianjin University, Tianjin, China
2. Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
Funder
National Natural Science Foundation of China
Chinese Academy of Sciences
Key Research and Development Project of Shandong
CAS
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/4609443/10330207/10458077.pdf?arnumber=10458077
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4. Sea-level rise around the australian coastline and the changing frequency of extreme sea-level events;Church;Australian Meteorological Mag.,2006
5. A modelling approach for estimating the frequency of sea level extremes and the impact of climate change in southeast Australia
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