RSST-ARGM: a data-driven approach to long-term sea surface temperature prediction

RSST-ARGM: a data-driven approach to long-term sea surface temperature prediction

Abstract For the purpose of exploring the long-term variation of regional sea surface temperature (SST), this paper studies the historical SST in regional sea areas and the emission pattern of greenhouse gases, proposing a Grey model of regional SST atmospheric reflection which can be used to predic...

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Bibliographic Details
Main Authors: Linqian Zhu, Qi Liu, Xiaodong Liu, Yonghong Zhang
Format: Article
Language:English
Published: SpringerOpen 2021-08-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Long-term prediction
Regional SST
Temperature variation
Grey model
Atmospheric reflection
Online Access:https://doi.org/10.1186/s13638-021-02044-9

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