A Hybrid Neural Network Model for ENSO Prediction in Combination with Principal Oscillation Pattern Analyses

El Niño-Southern Oscillation (ENSO) can be currently predicted reasonably well six months and longer, but large biases and uncertainties remain in its real-time prediction. Various approaches have been taken to improve understanding of ENSO processes, and different models for ENSO predictions have b...

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Bibliographic Details
Published inAdvances in atmospheric sciences Vol. 39; no. 6; pp. 889 - 902
Main Authors Zhou, Lu, Zhang, Rong-Hua
Format Journal Article
LanguageEnglish
Published Heidelberg Science Press 01.06.2022
Springer Nature B.V
Laboratory for Ocean and Climate Dynamics,Pilot National Laboratory for Marine Science and Technology,Qingdao 266237,China
University of Chinese Academy of Sciences,Beijing 100029,China%CAS Key Laboratory of Ocean Circulation and Waves,Institute of Oceanology,and Center for Ocean Mega-Science,Chinese Academy of Sciences,Qingdao 266071,China
CAS Key Laboratory of Ocean Circulation and Waves,Institute of Oceanology,and Center for Ocean Mega-Science,Chinese Academy of Sciences,Qingdao 266071,China
University of Chinese Academy of Sciences,Beijing 100029,China
Center for Excellence in Quaternary Science and Global Change,Chinese Academy of Sciences,Xi'an 710061,China
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