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Improved Global Surface Temperature Simulation using Stratospheric Ozone Forcing with More Accurate Variability

Increasingly, studies have pointed out that variations of stratospheric ozone significantly influence climate change in the Northern and Southern hemispheres. This leads us to consider whether making the variations of stratospheric ozone in a climate model closer to real ozone changes would improve...

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Autores principales: Xie, Fei, Li, Jianping, Sun, Cheng, Ding, Ruiqiang, Xing, Nan, Yang, Yun, Zhou, Xin, Ma, Xuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160484/
https://www.ncbi.nlm.nih.gov/pubmed/30262911
http://dx.doi.org/10.1038/s41598-018-32656-z
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author Xie, Fei
Li, Jianping
Sun, Cheng
Ding, Ruiqiang
Xing, Nan
Yang, Yun
Zhou, Xin
Ma, Xuan
author_facet Xie, Fei
Li, Jianping
Sun, Cheng
Ding, Ruiqiang
Xing, Nan
Yang, Yun
Zhou, Xin
Ma, Xuan
author_sort Xie, Fei
collection PubMed
description Increasingly, studies have pointed out that variations of stratospheric ozone significantly influence climate change in the Northern and Southern hemispheres. This leads us to consider whether making the variations of stratospheric ozone in a climate model closer to real ozone changes would improve the simulation of global climate change. It is found that replacing the original specified stratospheric ozone forcing with more accurate stratospheric ozone variations improves the simulated variations of surface temperature in a climate model. The improved stratospheric ozone variations in the Northern Hemisphere lead to better simulation of variations in Northern Hemisphere circulation. As a result, the simulated variabilities of surface temperature in the middle of the Eurasian continent and in lower latitudes are improved. In the Southern Hemisphere, improvements in surface temperature variations that result from improved stratospheric ozone variations influence the simulation of westerly winds. The simulations also suggest that the decreasing trend of stratospheric ozone may have enhanced the warming trend at high latitudes in the second half of the 20th century. Our results not only reinforce the importance of accurately simulating the stratospheric ozone but also imply the need for including fully coupled stratospheric dynamical–radiative–chemical processes in climate models to predict future climate changes.
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spelling pubmed-61604842018-10-02 Improved Global Surface Temperature Simulation using Stratospheric Ozone Forcing with More Accurate Variability Xie, Fei Li, Jianping Sun, Cheng Ding, Ruiqiang Xing, Nan Yang, Yun Zhou, Xin Ma, Xuan Sci Rep Article Increasingly, studies have pointed out that variations of stratospheric ozone significantly influence climate change in the Northern and Southern hemispheres. This leads us to consider whether making the variations of stratospheric ozone in a climate model closer to real ozone changes would improve the simulation of global climate change. It is found that replacing the original specified stratospheric ozone forcing with more accurate stratospheric ozone variations improves the simulated variations of surface temperature in a climate model. The improved stratospheric ozone variations in the Northern Hemisphere lead to better simulation of variations in Northern Hemisphere circulation. As a result, the simulated variabilities of surface temperature in the middle of the Eurasian continent and in lower latitudes are improved. In the Southern Hemisphere, improvements in surface temperature variations that result from improved stratospheric ozone variations influence the simulation of westerly winds. The simulations also suggest that the decreasing trend of stratospheric ozone may have enhanced the warming trend at high latitudes in the second half of the 20th century. Our results not only reinforce the importance of accurately simulating the stratospheric ozone but also imply the need for including fully coupled stratospheric dynamical–radiative–chemical processes in climate models to predict future climate changes. Nature Publishing Group UK 2018-09-27 /pmc/articles/PMC6160484/ /pubmed/30262911 http://dx.doi.org/10.1038/s41598-018-32656-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Xie, Fei
Li, Jianping
Sun, Cheng
Ding, Ruiqiang
Xing, Nan
Yang, Yun
Zhou, Xin
Ma, Xuan
Improved Global Surface Temperature Simulation using Stratospheric Ozone Forcing with More Accurate Variability
title Improved Global Surface Temperature Simulation using Stratospheric Ozone Forcing with More Accurate Variability
title_full Improved Global Surface Temperature Simulation using Stratospheric Ozone Forcing with More Accurate Variability
title_fullStr Improved Global Surface Temperature Simulation using Stratospheric Ozone Forcing with More Accurate Variability
title_full_unstemmed Improved Global Surface Temperature Simulation using Stratospheric Ozone Forcing with More Accurate Variability
title_short Improved Global Surface Temperature Simulation using Stratospheric Ozone Forcing with More Accurate Variability
title_sort improved global surface temperature simulation using stratospheric ozone forcing with more accurate variability
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160484/
https://www.ncbi.nlm.nih.gov/pubmed/30262911
http://dx.doi.org/10.1038/s41598-018-32656-z
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