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Causes of irregularities in trends of global mean surface temperature since the late 19th century

The time series of monthly global mean surface temperature (GST) since 1891 is successfully reconstructed from known natural and anthropogenic forcing factors, including internal climate variability, using a multiple regression technique. Comparisons are made with the performance of 40 CMIP5 models...

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Autores principales: Folland, Chris K., Boucher, Olivier, Colman, Andrew, Parker, David E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5990305/
https://www.ncbi.nlm.nih.gov/pubmed/29881771
http://dx.doi.org/10.1126/sciadv.aao5297
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author Folland, Chris K.
Boucher, Olivier
Colman, Andrew
Parker, David E.
author_facet Folland, Chris K.
Boucher, Olivier
Colman, Andrew
Parker, David E.
author_sort Folland, Chris K.
collection PubMed
description The time series of monthly global mean surface temperature (GST) since 1891 is successfully reconstructed from known natural and anthropogenic forcing factors, including internal climate variability, using a multiple regression technique. Comparisons are made with the performance of 40 CMIP5 models in predicting GST. The relative contributions of the various forcing factors to GST changes vary in time, but most of the warming since 1891 is found to be attributable to the net influence of increasing greenhouse gases and anthropogenic aerosols. Separate statistically independent analyses are also carried out for three periods of GST slowdown (1896–1910, 1941–1975, and 1998–2013 and subperiods); two periods of strong warming (1911–1940 and 1976–1997) are also analyzed. A reduction in total incident solar radiation forcing played a significant cooling role over 2001–2010. The only serious disagreements between the reconstructions and observations occur during the Second World War, especially in the period 1944–1945, when observed near-worldwide sea surface temperatures (SSTs) may be significantly warm-biased. In contrast, reconstructions of near-worldwide SSTs were rather warmer than those observed between about 1907 and 1910. However, the generally high reconstruction accuracy shows that known external and internal forcing factors explain all the main variations in GST between 1891 and 2015, allowing for our current understanding of their uncertainties. Accordingly, no important additional factors are needed to explain the two main warming and three main slowdown periods during this epoch.
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spelling pubmed-59903052018-06-07 Causes of irregularities in trends of global mean surface temperature since the late 19th century Folland, Chris K. Boucher, Olivier Colman, Andrew Parker, David E. Sci Adv Research Articles The time series of monthly global mean surface temperature (GST) since 1891 is successfully reconstructed from known natural and anthropogenic forcing factors, including internal climate variability, using a multiple regression technique. Comparisons are made with the performance of 40 CMIP5 models in predicting GST. The relative contributions of the various forcing factors to GST changes vary in time, but most of the warming since 1891 is found to be attributable to the net influence of increasing greenhouse gases and anthropogenic aerosols. Separate statistically independent analyses are also carried out for three periods of GST slowdown (1896–1910, 1941–1975, and 1998–2013 and subperiods); two periods of strong warming (1911–1940 and 1976–1997) are also analyzed. A reduction in total incident solar radiation forcing played a significant cooling role over 2001–2010. The only serious disagreements between the reconstructions and observations occur during the Second World War, especially in the period 1944–1945, when observed near-worldwide sea surface temperatures (SSTs) may be significantly warm-biased. In contrast, reconstructions of near-worldwide SSTs were rather warmer than those observed between about 1907 and 1910. However, the generally high reconstruction accuracy shows that known external and internal forcing factors explain all the main variations in GST between 1891 and 2015, allowing for our current understanding of their uncertainties. Accordingly, no important additional factors are needed to explain the two main warming and three main slowdown periods during this epoch. American Association for the Advancement of Science 2018-06-06 /pmc/articles/PMC5990305/ /pubmed/29881771 http://dx.doi.org/10.1126/sciadv.aao5297 Text en Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Folland, Chris K.
Boucher, Olivier
Colman, Andrew
Parker, David E.
Causes of irregularities in trends of global mean surface temperature since the late 19th century
title Causes of irregularities in trends of global mean surface temperature since the late 19th century
title_full Causes of irregularities in trends of global mean surface temperature since the late 19th century
title_fullStr Causes of irregularities in trends of global mean surface temperature since the late 19th century
title_full_unstemmed Causes of irregularities in trends of global mean surface temperature since the late 19th century
title_short Causes of irregularities in trends of global mean surface temperature since the late 19th century
title_sort causes of irregularities in trends of global mean surface temperature since the late 19th century
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5990305/
https://www.ncbi.nlm.nih.gov/pubmed/29881771
http://dx.doi.org/10.1126/sciadv.aao5297
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