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Identification of the driving forces of climate change using the longest instrumental temperature record
The identification of causal effects is a fundamental problem in climate change research. Here, a new perspective on climate change causality is presented using the central England temperature (CET) dataset, the longest instrumental temperature record, and a combination of slow feature analysis and...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384247/ https://www.ncbi.nlm.nih.gov/pubmed/28387247 http://dx.doi.org/10.1038/srep46091 |
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author | Wang, Geli Yang, Peicai Zhou, Xiuji |
author_facet | Wang, Geli Yang, Peicai Zhou, Xiuji |
author_sort | Wang, Geli |
collection | PubMed |
description | The identification of causal effects is a fundamental problem in climate change research. Here, a new perspective on climate change causality is presented using the central England temperature (CET) dataset, the longest instrumental temperature record, and a combination of slow feature analysis and wavelet analysis. The driving forces of climate change were investigated and the results showed two independent degrees of freedom —a 3.36-year cycle and a 22.6-year cycle, which seem to be connected to the El Niño–Southern Oscillation cycle and the Hale sunspot cycle, respectively. Moreover, these driving forces were modulated in amplitude by signals with millennial timescales. |
format | Online Article Text |
id | pubmed-5384247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53842472017-04-11 Identification of the driving forces of climate change using the longest instrumental temperature record Wang, Geli Yang, Peicai Zhou, Xiuji Sci Rep Article The identification of causal effects is a fundamental problem in climate change research. Here, a new perspective on climate change causality is presented using the central England temperature (CET) dataset, the longest instrumental temperature record, and a combination of slow feature analysis and wavelet analysis. The driving forces of climate change were investigated and the results showed two independent degrees of freedom —a 3.36-year cycle and a 22.6-year cycle, which seem to be connected to the El Niño–Southern Oscillation cycle and the Hale sunspot cycle, respectively. Moreover, these driving forces were modulated in amplitude by signals with millennial timescales. Nature Publishing Group 2017-04-07 /pmc/articles/PMC5384247/ /pubmed/28387247 http://dx.doi.org/10.1038/srep46091 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Wang, Geli Yang, Peicai Zhou, Xiuji Identification of the driving forces of climate change using the longest instrumental temperature record |
title | Identification of the driving forces of climate change using the longest instrumental temperature record |
title_full | Identification of the driving forces of climate change using the longest instrumental temperature record |
title_fullStr | Identification of the driving forces of climate change using the longest instrumental temperature record |
title_full_unstemmed | Identification of the driving forces of climate change using the longest instrumental temperature record |
title_short | Identification of the driving forces of climate change using the longest instrumental temperature record |
title_sort | identification of the driving forces of climate change using the longest instrumental temperature record |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384247/ https://www.ncbi.nlm.nih.gov/pubmed/28387247 http://dx.doi.org/10.1038/srep46091 |
work_keys_str_mv | AT wanggeli identificationofthedrivingforcesofclimatechangeusingthelongestinstrumentaltemperaturerecord AT yangpeicai identificationofthedrivingforcesofclimatechangeusingthelongestinstrumentaltemperaturerecord AT zhouxiuji identificationofthedrivingforcesofclimatechangeusingthelongestinstrumentaltemperaturerecord |