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Percolation Phase Transition of Surface Air Temperature Networks: A new test bed for El Niño/La Niña simulations
In this work, we studied the air-sea interaction over the tropical central eastern Pacific from a new perspective, climate network. The surface air temperatures over the tropical Pacific were constructed as a network, and the nodes within this network were linked if they have a similar temporal vary...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5559492/ https://www.ncbi.nlm.nih.gov/pubmed/28814764 http://dx.doi.org/10.1038/s41598-017-08767-4 |
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author | Hua, Lijuan Lu, Zhenghui Yuan, Naiming Chen, Lin Yu, Yongqiang Wang, Lu |
author_facet | Hua, Lijuan Lu, Zhenghui Yuan, Naiming Chen, Lin Yu, Yongqiang Wang, Lu |
author_sort | Hua, Lijuan |
collection | PubMed |
description | In this work, we studied the air-sea interaction over the tropical central eastern Pacific from a new perspective, climate network. The surface air temperatures over the tropical Pacific were constructed as a network, and the nodes within this network were linked if they have a similar temporal varying pattern. Using three different reanalysis datasets, we verified the percolation phase transition. That is, when the influences of El Niño/La Niña are strong enough to isolate more than 48% of the nodes, the network may abruptly be divided into many small pieces, indicating a change of the network state. This phenomenon was reproduced successfully by a coupled general circulation model, Flexible Global Ocean-Atmosphere-Land System Model Spectral Version 2, but another model, Flexible Global Ocean-Atmosphere-Land System Model Grid-point Version 2, failed. As both models have the same oceanic component, but are with different atmospheric components, the improperly used atmospheric component should be responsible for the missing of the percolation phase transition. Considering that this new phenomenon is only recently noticed, current state-of-the-art models may ignore this process and induce unrealistic simulations. Accordingly, percolation phase transition is proposed as a new test bed, which deserves more attention in the future. |
format | Online Article Text |
id | pubmed-5559492 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55594922017-08-18 Percolation Phase Transition of Surface Air Temperature Networks: A new test bed for El Niño/La Niña simulations Hua, Lijuan Lu, Zhenghui Yuan, Naiming Chen, Lin Yu, Yongqiang Wang, Lu Sci Rep Article In this work, we studied the air-sea interaction over the tropical central eastern Pacific from a new perspective, climate network. The surface air temperatures over the tropical Pacific were constructed as a network, and the nodes within this network were linked if they have a similar temporal varying pattern. Using three different reanalysis datasets, we verified the percolation phase transition. That is, when the influences of El Niño/La Niña are strong enough to isolate more than 48% of the nodes, the network may abruptly be divided into many small pieces, indicating a change of the network state. This phenomenon was reproduced successfully by a coupled general circulation model, Flexible Global Ocean-Atmosphere-Land System Model Spectral Version 2, but another model, Flexible Global Ocean-Atmosphere-Land System Model Grid-point Version 2, failed. As both models have the same oceanic component, but are with different atmospheric components, the improperly used atmospheric component should be responsible for the missing of the percolation phase transition. Considering that this new phenomenon is only recently noticed, current state-of-the-art models may ignore this process and induce unrealistic simulations. Accordingly, percolation phase transition is proposed as a new test bed, which deserves more attention in the future. Nature Publishing Group UK 2017-08-16 /pmc/articles/PMC5559492/ /pubmed/28814764 http://dx.doi.org/10.1038/s41598-017-08767-4 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Hua, Lijuan Lu, Zhenghui Yuan, Naiming Chen, Lin Yu, Yongqiang Wang, Lu Percolation Phase Transition of Surface Air Temperature Networks: A new test bed for El Niño/La Niña simulations |
title | Percolation Phase Transition of Surface Air Temperature Networks: A new test bed for El Niño/La Niña simulations |
title_full | Percolation Phase Transition of Surface Air Temperature Networks: A new test bed for El Niño/La Niña simulations |
title_fullStr | Percolation Phase Transition of Surface Air Temperature Networks: A new test bed for El Niño/La Niña simulations |
title_full_unstemmed | Percolation Phase Transition of Surface Air Temperature Networks: A new test bed for El Niño/La Niña simulations |
title_short | Percolation Phase Transition of Surface Air Temperature Networks: A new test bed for El Niño/La Niña simulations |
title_sort | percolation phase transition of surface air temperature networks: a new test bed for el niño/la niña simulations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5559492/ https://www.ncbi.nlm.nih.gov/pubmed/28814764 http://dx.doi.org/10.1038/s41598-017-08767-4 |
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