Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles

<jats:p>Observational records of meteorological and chemical variables are imprinted by an unknown combination of anthropogenic activity, natural forcings, and internal variability. With a 15-member initial-condition ensemble generated from the CESM2-WACCM6 chemistry-climate model for 1950-20...

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Main Authors: Fiore, Arlene, Hancock, Sarah, Lamarque, Jean-Francois, Correa, Gustavo, Chang, Kai-Lan, Ru, Muye, Cooper, Owen, Gaudel, Audrey, Polvani, Lorenzo, Sauvage, Bastien, Ziemke, Jerald
Other Authors: Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Format: Article
Published: California Digital Library (CDL) 2023
Online Access:https://hdl.handle.net/1721.1/148078
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author Fiore, Arlene
Hancock, Sarah
Lamarque, Jean-Francois
Correa, Gustavo
Chang, Kai-Lan
Ru, Muye
Cooper, Owen
Gaudel, Audrey
Polvani, Lorenzo
Sauvage, Bastien
Ziemke, Jerald
author2 Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
author_facet Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Fiore, Arlene
Hancock, Sarah
Lamarque, Jean-Francois
Correa, Gustavo
Chang, Kai-Lan
Ru, Muye
Cooper, Owen
Gaudel, Audrey
Polvani, Lorenzo
Sauvage, Bastien
Ziemke, Jerald
author_sort Fiore, Arlene
collection MIT
description <jats:p>Observational records of meteorological and chemical variables are imprinted by an unknown combination of anthropogenic activity, natural forcings, and internal variability. With a 15-member initial-condition ensemble generated from the CESM2-WACCM6 chemistry-climate model for 1950-2014, we extract signals of anthropogenic (‘forced’) change from the noise of internally arising climate variability on observed tropospheric ozone trends. Positive trends in free tropospheric ozone measured at long-term surface observatories, by commercial aircraft, and retrieved from satellite instruments generally fall within the ensemble range. CESM2-WACCM6 tropospheric ozone trends are also bracketed by those in a larger ensemble constructed from five additional chemistry-climate models. Comparison of the multi-model ensemble with observed tropospheric column ozone trends in the northern tropics implies an underestimate in regional precursor emission growth over recent decades. Positive tropospheric ozone trends clearly emerge from 1950 to 2014, exceeding 0.2 DU yr-1 at 20-40N in all CESM2-WACCM6 ensemble members. Tropospheric ozone observations are often only available for recent decades, and we show that even a two-decade record length is insufficient to eliminate the role of internal variability, which can produce regional tropospheric ozone trends oppositely signed from ensemble mean (forced) changes. By identifying regions and seasons with strong anthropogenic change signals relative to internal variability, initial-condition ensembles can guide future observing systems seeking to detect anthropogenic change. For example, analysis of the CESM2-WACCM6 ensemble reveals year-round upper tropospheric ozone increases from 1995-2014, largest at 30S-40N during boreal summer. Lower tropospheric ozone increases most strongly in the winter hemisphere, but internal variability leads to trends of opposite sign (ensemble overlaps zero) north of 40N during boreal summer. This decoupling of ozone trends in the upper and lower troposphere suggests a growing prominence for tropospheric ozone as a greenhouse gas despite regional efforts to abate warm season ground-level ozone.</jats:p>
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spelling mit-1721.1/1480782023-02-16T03:12:42Z Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles Fiore, Arlene Hancock, Sarah Lamarque, Jean-Francois Correa, Gustavo Chang, Kai-Lan Ru, Muye Cooper, Owen Gaudel, Audrey Polvani, Lorenzo Sauvage, Bastien Ziemke, Jerald Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences <jats:p>Observational records of meteorological and chemical variables are imprinted by an unknown combination of anthropogenic activity, natural forcings, and internal variability. With a 15-member initial-condition ensemble generated from the CESM2-WACCM6 chemistry-climate model for 1950-2014, we extract signals of anthropogenic (‘forced’) change from the noise of internally arising climate variability on observed tropospheric ozone trends. Positive trends in free tropospheric ozone measured at long-term surface observatories, by commercial aircraft, and retrieved from satellite instruments generally fall within the ensemble range. CESM2-WACCM6 tropospheric ozone trends are also bracketed by those in a larger ensemble constructed from five additional chemistry-climate models. Comparison of the multi-model ensemble with observed tropospheric column ozone trends in the northern tropics implies an underestimate in regional precursor emission growth over recent decades. Positive tropospheric ozone trends clearly emerge from 1950 to 2014, exceeding 0.2 DU yr-1 at 20-40N in all CESM2-WACCM6 ensemble members. Tropospheric ozone observations are often only available for recent decades, and we show that even a two-decade record length is insufficient to eliminate the role of internal variability, which can produce regional tropospheric ozone trends oppositely signed from ensemble mean (forced) changes. By identifying regions and seasons with strong anthropogenic change signals relative to internal variability, initial-condition ensembles can guide future observing systems seeking to detect anthropogenic change. For example, analysis of the CESM2-WACCM6 ensemble reveals year-round upper tropospheric ozone increases from 1995-2014, largest at 30S-40N during boreal summer. Lower tropospheric ozone increases most strongly in the winter hemisphere, but internal variability leads to trends of opposite sign (ensemble overlaps zero) north of 40N during boreal summer. This decoupling of ozone trends in the upper and lower troposphere suggests a growing prominence for tropospheric ozone as a greenhouse gas despite regional efforts to abate warm season ground-level ozone.</jats:p> 2023-02-15T18:06:53Z 2023-02-15T18:06:53Z 2022-08-15 Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/148078 Fiore, Arlene, Hancock, Sarah, Lamarque, Jean-Francois, Correa, Gustavo, Chang, Kai-Lan et al. 2022. "Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles." 10.31223/x5035b Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf California Digital Library (CDL) IOP Publishing
spellingShingle Fiore, Arlene
Hancock, Sarah
Lamarque, Jean-Francois
Correa, Gustavo
Chang, Kai-Lan
Ru, Muye
Cooper, Owen
Gaudel, Audrey
Polvani, Lorenzo
Sauvage, Bastien
Ziemke, Jerald
Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles
title Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles
title_full Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles
title_fullStr Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles
title_full_unstemmed Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles
title_short Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles
title_sort understanding recent tropospheric ozone trends in the context of large internal variability a new perspective from chemistry climate model ensembles
url https://hdl.handle.net/1721.1/148078
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