A hybrid approach for El Niño prediction based on Empirical Mode Decomposition and convolutional LSTM Encoder-Decoder-Reference-Cited by-同舟云学术

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A hybrid approach for El Niño prediction based on Empirical Mode Decomposition and convolutional LSTM Encoder-Decoder

Published:2021-04 Issue: Volume:149 Page:104695
ISSN:0098-3004
Container-title:Computers & Geosciences
language:en
Short-container-title:Computers & Geosciences

Author:

Wang Si,Mu Lin,Liu Darong

Funder

Shenzhen Fundamental Research Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Information Systems

Reference51 articles.

1. Forecasting Pacific SSTs: linear inverse model predictions of the PDO;Alexander;J. Clim.,2008

2. Neural Machine Translation by Jointly Learning to Align and Translate;Bahdanau,2014

3. ENSO and ENSO-related predictability. Part I: prediction of equatorial Pacific sea surface temperature with a hybrid coupled ocean–atmosphere model;Barnett;J. Clim.,1993

4. How Good Have ENSO Forecasts Been Lately?;Barnston,2014

5. Prediction of ENSO episodes using canonical correlation analysis;Barnston;J. Clim.,1992

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