Breaks, Trends and the Attribution of Climate Change: A Time-Series Analysis

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Climate change detection and attribution have been the subject of intense research and debate over at least four decades. However, direct attribution of climate change to anthropogenic activities using observed climate and forcing variables through statistical methods has remained elusive, partly ca...

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Detalles Bibliográficos
Autores: Estrada, Francisco, Perron, Pierre
Formato: artículo
Fecha de Publicación:2019
Institución:Pontificia Universidad Católica del Perú
Repositorio:Revistas - Pontificia Universidad Católica del Perú
Lenguaje:inglés
OAI Identifier:oai:ojs.pkp.sfu.ca:article/21102
Enlace del recurso:http://revistas.pucp.edu.pe/index.php/economia/article/view/21102
Nivel de acceso:acceso abierto
Materia:Segmented trends
Temperatures
Greenhouse gases
Radiative forcings
Anthropogenic influence
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spelling Breaks, Trends and the Attribution of Climate Change: A Time-Series AnalysisEstrada, FranciscoPerron, PierreSegmented trendsTemperaturesGreenhouse gasesRadiative forcingsAnthropogenic influenceClimate change detection and attribution have been the subject of intense research and debate over at least four decades. However, direct attribution of climate change to anthropogenic activities using observed climate and forcing variables through statistical methods has remained elusive, partly caused by difficulties to correctly identify the time-series properties of these variables and by the limited availability of methods to relate nonstationary variables. This paper provides strong evidence concerning the direct attribution of observed climate change to anthropogenic greenhouse gases emissions by first investigating the univariate time-series properties of observed  global and hemispheric temperatures and forcing variables and then by proposing statistically adequate multivariate models. The results show that there is a clear anthropogenic fingerprint on both global and hemispheric temperatures. The signal of the well-mixed Greenhouse Gases (GHG) forcing in all temperature series is very clear and accounts for most of their secular movements since the beginning of observations. Both temperature and forcing variables are characterized by piecewise linear trends with abrupt changes in their slopes estimated to occur at different dates. Nevertheless, their long-term movements are so closely related that the observed temperature and forcing trends cancel out. The warming experimented during the last century was mainly due to the increase in GHG which was partially offset by the effect of tropospheric aerosols. Other forcing sources, such as solar, are shown to only contribute to (shorter-term) variations around the GHG forcing trend.Pontificia Universidad Católica del Perú2019-09-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://revistas.pucp.edu.pe/index.php/economia/article/view/21102Economia; Vol. 42 No. 83 (2019); 1-31Economía; Vol. 42 Núm. 83 (2019); 1-312304-43060254-4415reponame:Revistas - Pontificia Universidad Católica del Perúinstname:Pontificia Universidad Católica del Perúinstacron:PUCPenghttp://revistas.pucp.edu.pe/index.php/economia/article/view/21102/20849info:eu-repo/semantics/openAccessoai:ojs.pkp.sfu.ca:article/211022020-03-08T19:16:05Z
dc.title.none.fl_str_mv Breaks, Trends and the Attribution of Climate Change: A Time-Series Analysis
title Breaks, Trends and the Attribution of Climate Change: A Time-Series Analysis
spellingShingle Breaks, Trends and the Attribution of Climate Change: A Time-Series Analysis
Estrada, Francisco
Segmented trends
Temperatures
Greenhouse gases
Radiative forcings
Anthropogenic influence
title_short Breaks, Trends and the Attribution of Climate Change: A Time-Series Analysis
title_full Breaks, Trends and the Attribution of Climate Change: A Time-Series Analysis
title_fullStr Breaks, Trends and the Attribution of Climate Change: A Time-Series Analysis
title_full_unstemmed Breaks, Trends and the Attribution of Climate Change: A Time-Series Analysis
title_sort Breaks, Trends and the Attribution of Climate Change: A Time-Series Analysis
dc.creator.none.fl_str_mv Estrada, Francisco
Perron, Pierre
author Estrada, Francisco
author_facet Estrada, Francisco
Perron, Pierre
author_role author
author2 Perron, Pierre
author2_role author
dc.subject.none.fl_str_mv Segmented trends
Temperatures
Greenhouse gases
Radiative forcings
Anthropogenic influence
topic Segmented trends
Temperatures
Greenhouse gases
Radiative forcings
Anthropogenic influence
description Climate change detection and attribution have been the subject of intense research and debate over at least four decades. However, direct attribution of climate change to anthropogenic activities using observed climate and forcing variables through statistical methods has remained elusive, partly caused by difficulties to correctly identify the time-series properties of these variables and by the limited availability of methods to relate nonstationary variables. This paper provides strong evidence concerning the direct attribution of observed climate change to anthropogenic greenhouse gases emissions by first investigating the univariate time-series properties of observed  global and hemispheric temperatures and forcing variables and then by proposing statistically adequate multivariate models. The results show that there is a clear anthropogenic fingerprint on both global and hemispheric temperatures. The signal of the well-mixed Greenhouse Gases (GHG) forcing in all temperature series is very clear and accounts for most of their secular movements since the beginning of observations. Both temperature and forcing variables are characterized by piecewise linear trends with abrupt changes in their slopes estimated to occur at different dates. Nevertheless, their long-term movements are so closely related that the observed temperature and forcing trends cancel out. The warming experimented during the last century was mainly due to the increase in GHG which was partially offset by the effect of tropospheric aerosols. Other forcing sources, such as solar, are shown to only contribute to (shorter-term) variations around the GHG forcing trend.
publishDate 2019
dc.date.none.fl_str_mv 2019-09-16
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://revistas.pucp.edu.pe/index.php/economia/article/view/21102
url http://revistas.pucp.edu.pe/index.php/economia/article/view/21102
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://revistas.pucp.edu.pe/index.php/economia/article/view/21102/20849
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pontificia Universidad Católica del Perú
publisher.none.fl_str_mv Pontificia Universidad Católica del Perú
dc.source.none.fl_str_mv Economia; Vol. 42 No. 83 (2019); 1-31
Economía; Vol. 42 Núm. 83 (2019); 1-31
2304-4306
0254-4415
reponame:Revistas - Pontificia Universidad Católica del Perú
instname:Pontificia Universidad Católica del Perú
instacron:PUCP
instname_str Pontificia Universidad Católica del Perú
instacron_str PUCP
institution PUCP
reponame_str Revistas - Pontificia Universidad Católica del Perú
collection Revistas - Pontificia Universidad Católica del Perú
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 13.121117
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