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El Niño Modoki can be mostly predicted more than 10 years ahead of time

The 2014–2015 “Monster”/“Super” El Niño failed to be predicted one year earlier due to the growing importance of a new type of El Niño, El Niño Modoki, which reportedly has much lower forecast skill with the classical models. In this study, we show that, so far as of today, this new El Niño actually...

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Autores principales: Liang, X. San, Xu, Fen, Rong, Yineng, Zhang, Renhe, Tang, Xu, Zhang, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429568/
https://www.ncbi.nlm.nih.gov/pubmed/34504151
http://dx.doi.org/10.1038/s41598-021-97111-y
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author Liang, X. San
Xu, Fen
Rong, Yineng
Zhang, Renhe
Tang, Xu
Zhang, Feng
author_facet Liang, X. San
Xu, Fen
Rong, Yineng
Zhang, Renhe
Tang, Xu
Zhang, Feng
author_sort Liang, X. San
collection PubMed
description The 2014–2015 “Monster”/“Super” El Niño failed to be predicted one year earlier due to the growing importance of a new type of El Niño, El Niño Modoki, which reportedly has much lower forecast skill with the classical models. In this study, we show that, so far as of today, this new El Niño actually can be mostly predicted at a lead time of more than 10 years. This is achieved through tracing the predictability source with an information flow-based causality analysis, which has been rigorously established from first principles during the past 16 years (e.g., Liang in Phys Rev E 94:052201, 2016). We show that the information flowing from the solar activity 45 years ago to the sea surface temperature results in a causal structure resembling the El Niño Modoki mode. Based on this, a multidimensional system is constructed out of the sunspot number series with time delays of 22–50 years. The first 25 principal components are then taken as the predictors to fulfill the prediction, which through causal AI based on the Liang–Kleeman information flow reproduces rather accurately the events thus far 12 years in advance.
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spelling pubmed-84295682021-09-10 El Niño Modoki can be mostly predicted more than 10 years ahead of time Liang, X. San Xu, Fen Rong, Yineng Zhang, Renhe Tang, Xu Zhang, Feng Sci Rep Article The 2014–2015 “Monster”/“Super” El Niño failed to be predicted one year earlier due to the growing importance of a new type of El Niño, El Niño Modoki, which reportedly has much lower forecast skill with the classical models. In this study, we show that, so far as of today, this new El Niño actually can be mostly predicted at a lead time of more than 10 years. This is achieved through tracing the predictability source with an information flow-based causality analysis, which has been rigorously established from first principles during the past 16 years (e.g., Liang in Phys Rev E 94:052201, 2016). We show that the information flowing from the solar activity 45 years ago to the sea surface temperature results in a causal structure resembling the El Niño Modoki mode. Based on this, a multidimensional system is constructed out of the sunspot number series with time delays of 22–50 years. The first 25 principal components are then taken as the predictors to fulfill the prediction, which through causal AI based on the Liang–Kleeman information flow reproduces rather accurately the events thus far 12 years in advance. Nature Publishing Group UK 2021-09-09 /pmc/articles/PMC8429568/ /pubmed/34504151 http://dx.doi.org/10.1038/s41598-021-97111-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Liang, X. San
Xu, Fen
Rong, Yineng
Zhang, Renhe
Tang, Xu
Zhang, Feng
El Niño Modoki can be mostly predicted more than 10 years ahead of time
title El Niño Modoki can be mostly predicted more than 10 years ahead of time
title_full El Niño Modoki can be mostly predicted more than 10 years ahead of time
title_fullStr El Niño Modoki can be mostly predicted more than 10 years ahead of time
title_full_unstemmed El Niño Modoki can be mostly predicted more than 10 years ahead of time
title_short El Niño Modoki can be mostly predicted more than 10 years ahead of time
title_sort el niño modoki can be mostly predicted more than 10 years ahead of time
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429568/
https://www.ncbi.nlm.nih.gov/pubmed/34504151
http://dx.doi.org/10.1038/s41598-021-97111-y
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