A Hybrid Neural Network Model for ENSO Prediction in Combination with Principal Oscillation Pattern Analyses
Author:
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
https://link.springer.com/content/pdf/10.1007/s00376-021-1368-4.pdf
Reference50 articles.
1. Abiodun, O. I., A. Jantan, A. E. Omolara, K. V. Dada, N. A. Mohamed, and H. Arshad, 2018: State-of-the-art in artificial neural network applications: A survey. Heliyon, 4(11), e00938, https://doi.org/10.1016/j.heliyon.2018.e00938.
2. Barnett, T. P., N. Graham, S. Pazan, W. White, M. Latif, and M. Flügel, 1993: ENSO and ENSO-related predictability. Part I: Prediction of equatorial Pacific sea surface temperature with a hybrid coupled ocean-atmosphere model. J. Climate, 6(8), 1545–1566, https://doi.org/10.1175/1520-0442(1993)006<1545:EAERPP>2.0.CO;2.
3. Barnston, A. G., M. K. Tippett, M. L. L’Heureux, S. H. Li, and D. G. DeWitt, 2012: Skill of real-time seasonal ENSO model predictions during 2002–11: Is our capability increasing? Bull. Amer. Meteor. Soc., 93(5), 631–651, https://doi.org/10.1175/BAMS-D-11-00111.1.
4. Bjerknes, J., 1969: Atmospheric teleconnections from the equatorial Pacific. Mon. Wea. Rev., 97(3), 163–172, https://doi.org/10.1175/1520-0493(1969)097<0163:ATFTEP>2.3.CO;2.
5. Cane, M. A., and S. E. Zebiak, 1985: A theory for El Niño and the Southern Oscillation. Science, 228(4703), 1085–1087, https://doi.org/10.1126/science.228.4703.1085.
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