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Causality from long‐lived radiative forcings to the climate trend

In our study, we present a purely statistical observations‐based model‐free analysis that provides evidence about Granger causality (GC) from long‐lived radiative forcings (LLRFs) to the climate trend (CT). This relies on having locally ordered breaks in the slopes of the trend functions of LLRF and...

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Detalles Bibliográficos
Autores principales: Estrada, Francisco, Perron, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379974/
https://www.ncbi.nlm.nih.gov/pubmed/30044510
http://dx.doi.org/10.1111/nyas.13923
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author Estrada, Francisco
Perron, Pierre
author_facet Estrada, Francisco
Perron, Pierre
author_sort Estrada, Francisco
collection PubMed
description In our study, we present a purely statistical observations‐based model‐free analysis that provides evidence about Granger causality (GC) from long‐lived radiative forcings (LLRFs) to the climate trend (CT). This relies on having locally ordered breaks in the slopes of the trend functions of LLRF and the CT, with the break for LLRF occurring before that of the CT and with the slope changes being of the same sign. The empirical evidence indicates that these conditions are satisfied empirically using standard global surface temperature series and an aggregate measure of LLRF (carbon dioxide, nitrous oxide, and chlorofluorocarbons). We also discuss why the presence of broken trends can lead one to conclude in favor of GC when using standard methods even if the noise function in LLRF is negligible.
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spelling pubmed-73799742020-07-27 Causality from long‐lived radiative forcings to the climate trend Estrada, Francisco Perron, Pierre Ann N Y Acad Sci Original Articles In our study, we present a purely statistical observations‐based model‐free analysis that provides evidence about Granger causality (GC) from long‐lived radiative forcings (LLRFs) to the climate trend (CT). This relies on having locally ordered breaks in the slopes of the trend functions of LLRF and the CT, with the break for LLRF occurring before that of the CT and with the slope changes being of the same sign. The empirical evidence indicates that these conditions are satisfied empirically using standard global surface temperature series and an aggregate measure of LLRF (carbon dioxide, nitrous oxide, and chlorofluorocarbons). We also discuss why the presence of broken trends can lead one to conclude in favor of GC when using standard methods even if the noise function in LLRF is negligible. John Wiley and Sons Inc. 2018-07-25 2019-01 /pmc/articles/PMC7379974/ /pubmed/30044510 http://dx.doi.org/10.1111/nyas.13923 Text en © 2018 The Authors. Annals of the New York Academy of Sciences published by Wiley Periodicals Inc. on behalf of The New York Academy of Sciences. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Estrada, Francisco
Perron, Pierre
Causality from long‐lived radiative forcings to the climate trend
title Causality from long‐lived radiative forcings to the climate trend
title_full Causality from long‐lived radiative forcings to the climate trend
title_fullStr Causality from long‐lived radiative forcings to the climate trend
title_full_unstemmed Causality from long‐lived radiative forcings to the climate trend
title_short Causality from long‐lived radiative forcings to the climate trend
title_sort causality from long‐lived radiative forcings to the climate trend
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379974/
https://www.ncbi.nlm.nih.gov/pubmed/30044510
http://dx.doi.org/10.1111/nyas.13923
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