OTCFM: A Sea Surface Temperature Prediction Method Integrating Multi-Scale Periodic Features-Reference-Cited by-同舟云学术

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OTCFM: A Sea Surface Temperature Prediction Method Integrating Multi-Scale Periodic Features

Published:2024 Issue: Volume:12 Page:108291-108302
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Fan Lu-Yi¹^ORCID,Cao Yu-Hao²,Huang Ning-Yuan³^ORCID,Sun Guo-Xuan¹,Cao Jia-Ning¹,Liu Chang-Xu³

Affiliation:

1. Business School, Hohai University, Nanjing, China

2. School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China

3. College of Computer and Information Engineering (College of Artificial Intelligene), Nanjing Tech University, Nanjing, Jiangsu, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10596058.pdf?arnumber=10596058

Reference24 articles.

1. Multiple Granularity Spatiotemporal Network for Sea Surface Temperature Prediction

2. Time-Series Graph Network for Sea Surface Temperature Prediction

3. A simple mathematical model to predict sea surface temperature over the northwest Indian Ocean

4. Impact of Systematic GCM Errors on Prediction Skill as Estimated by Linear Inverse Modeling

5. Sea surface temperature predictability in the North Pacific from multi-model seasonal forecast

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