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Exceptional stratospheric contribution to human fingerprints on atmospheric temperature

In 1967, scientists used a simple climate model to predict that human-caused increases in atmospheric CO(2) should warm Earth’s troposphere and cool the stratosphere. This important signature of anthropogenic climate change has been documented in weather balloon and satellite temperature measurement...

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Autores principales: Santer, Benjamin D., Po-Chedley, Stephen, Zhao, Lilong, Zou, Cheng-Zhi, Fu, Qiang, Solomon, Susan, Thompson, David W. J., Mears, Carl, Taylor, Karl E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193933/
https://www.ncbi.nlm.nih.gov/pubmed/37155871
http://dx.doi.org/10.1073/pnas.2300758120
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author Santer, Benjamin D.
Po-Chedley, Stephen
Zhao, Lilong
Zou, Cheng-Zhi
Fu, Qiang
Solomon, Susan
Thompson, David W. J.
Mears, Carl
Taylor, Karl E.
author_facet Santer, Benjamin D.
Po-Chedley, Stephen
Zhao, Lilong
Zou, Cheng-Zhi
Fu, Qiang
Solomon, Susan
Thompson, David W. J.
Mears, Carl
Taylor, Karl E.
author_sort Santer, Benjamin D.
collection PubMed
description In 1967, scientists used a simple climate model to predict that human-caused increases in atmospheric CO(2) should warm Earth’s troposphere and cool the stratosphere. This important signature of anthropogenic climate change has been documented in weather balloon and satellite temperature measurements extending from near-surface to the lower stratosphere. Stratospheric cooling has also been confirmed in the mid to upper stratosphere, a layer extending from roughly 25 to 50 km above the Earth’s surface (S(25 − 50)). To date, however, S(25 − 50) temperatures have not been used in pattern-based attribution studies of anthropogenic climate change. Here, we perform such a “fingerprint” study with satellite-derived patterns of temperature change that extend from the lower troposphere to the upper stratosphere. Including S(25 − 50) information increases signal-to-noise ratios by a factor of five, markedly enhancing fingerprint detectability. Key features of this global-scale human fingerprint include stratospheric cooling and tropospheric warming at all latitudes, with stratospheric cooling amplifying with height. In contrast, the dominant modes of internal variability in S(25 − 50) have smaller-scale temperature changes and lack uniform sign. These pronounced spatial differences between S(25 − 50) signal and noise patterns are accompanied by large cooling of S(25 − 50) (1 to 2 [Formula: see text] C over 1986 to 2022) and low S(25 − 50) noise levels. Our results explain why extending “vertical fingerprinting” to the mid to upper stratosphere yields incontrovertible evidence of human effects on the thermal structure of Earth’s atmosphere.
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spelling pubmed-101939332023-05-19 Exceptional stratospheric contribution to human fingerprints on atmospheric temperature Santer, Benjamin D. Po-Chedley, Stephen Zhao, Lilong Zou, Cheng-Zhi Fu, Qiang Solomon, Susan Thompson, David W. J. Mears, Carl Taylor, Karl E. Proc Natl Acad Sci U S A Physical Sciences In 1967, scientists used a simple climate model to predict that human-caused increases in atmospheric CO(2) should warm Earth’s troposphere and cool the stratosphere. This important signature of anthropogenic climate change has been documented in weather balloon and satellite temperature measurements extending from near-surface to the lower stratosphere. Stratospheric cooling has also been confirmed in the mid to upper stratosphere, a layer extending from roughly 25 to 50 km above the Earth’s surface (S(25 − 50)). To date, however, S(25 − 50) temperatures have not been used in pattern-based attribution studies of anthropogenic climate change. Here, we perform such a “fingerprint” study with satellite-derived patterns of temperature change that extend from the lower troposphere to the upper stratosphere. Including S(25 − 50) information increases signal-to-noise ratios by a factor of five, markedly enhancing fingerprint detectability. Key features of this global-scale human fingerprint include stratospheric cooling and tropospheric warming at all latitudes, with stratospheric cooling amplifying with height. In contrast, the dominant modes of internal variability in S(25 − 50) have smaller-scale temperature changes and lack uniform sign. These pronounced spatial differences between S(25 − 50) signal and noise patterns are accompanied by large cooling of S(25 − 50) (1 to 2 [Formula: see text] C over 1986 to 2022) and low S(25 − 50) noise levels. Our results explain why extending “vertical fingerprinting” to the mid to upper stratosphere yields incontrovertible evidence of human effects on the thermal structure of Earth’s atmosphere. National Academy of Sciences 2023-05-08 2023-05-16 /pmc/articles/PMC10193933/ /pubmed/37155871 http://dx.doi.org/10.1073/pnas.2300758120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Physical Sciences
Santer, Benjamin D.
Po-Chedley, Stephen
Zhao, Lilong
Zou, Cheng-Zhi
Fu, Qiang
Solomon, Susan
Thompson, David W. J.
Mears, Carl
Taylor, Karl E.
Exceptional stratospheric contribution to human fingerprints on atmospheric temperature
title Exceptional stratospheric contribution to human fingerprints on atmospheric temperature
title_full Exceptional stratospheric contribution to human fingerprints on atmospheric temperature
title_fullStr Exceptional stratospheric contribution to human fingerprints on atmospheric temperature
title_full_unstemmed Exceptional stratospheric contribution to human fingerprints on atmospheric temperature
title_short Exceptional stratospheric contribution to human fingerprints on atmospheric temperature
title_sort exceptional stratospheric contribution to human fingerprints on atmospheric temperature
topic Physical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193933/
https://www.ncbi.nlm.nih.gov/pubmed/37155871
http://dx.doi.org/10.1073/pnas.2300758120
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