Arctic tropospheric ozone:Assessment of current knowledge and model performance
As the third most important greenhouse gas (GHG) after carbon dioxide (CO2) and methane (CH4), tropospheric ozone (O3) is also an air pollutant causing damage to human health and ecosystems. This study brings together recent research on observations and modeling of tropospheric O3 in the Arctic, a r...
Published in: | Atmospheric Chemistry and Physics |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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2023
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Online Access: | https://pure.au.dk/portal/en/publications/82e72f33-05e5-432d-83c0-1bd094e17a7d https://doi.org/10.5194/acp-23-637-2023 http://www.scopus.com/inward/record.url?scp=85147316661&partnerID=8YFLogxK |
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English |
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As the third most important greenhouse gas (GHG) after carbon dioxide (CO2) and methane (CH4), tropospheric ozone (O3) is also an air pollutant causing damage to human health and ecosystems. This study brings together recent research on observations and modeling of tropospheric O3 in the Arctic, a rapidly warming and sensitive environment. At different locations in the Arctic, the observed surface O3 seasonal cycles are quite different. Coastal Arctic locations, for example, have a minimum in the springtime due to O3 depletion events resulting from surface bromine chemistry. In contrast, other Arctic locations have a maximum in the spring. The 12 state-of-the-art models used in this study lack the surface halogen chemistry needed to simulate coastal Arctic surface O3 depletion in the springtime; however, the multi-model median (MMM) has accurate seasonal cycles at non-coastal Arctic locations. There is a large amount of variability among models, which has been previously reported, and we show that there continues to be no convergence among models or improved accuracy in simulating tropospheric O3 and its precursor species. The MMM underestimates Arctic surface O3 by 5 % to 15 % depending on the location. The vertical distribution of tropospheric O3 is studied from recent ozonesonde measurements and the models. The models are highly variable, simulating free-tropospheric O3 within a range of ±50 % depending on the model and the altitude. The MMM performs best, within ±8 % for most locations and seasons. However, nearly all models overestimate O3 near the tropopause (-1/4300 hPa or -1/48 km), likely due to ongoing issues with underestimating the altitude of the tropopause and excessive downward transport of stratospheric O3 at high latitudes. For example, the MMM is biased high by about 20 % at Eureka. Observed and simulated O3 precursors (CO, NOx, and reservoir PAN) are evaluated throughout the troposphere. Models underestimate wintertime CO everywhere, likely due to a combination of underestimating CO emissions ... |
format |
Article in Journal/Newspaper |
author |
Whaley, Cynthia H. Law, Kathy S. Hjorth, Jens Liengaard Skov, Henrik Arnold, Stephen R. Langner, Joakim Pernov, Jakob Boyd Bergeron, Garance Bourgeois, Ilann Christensen, Jesper H. Chien, Rong You Deushi, Makoto Dong, Xinyi Effertz, Peter Faluvegi, Gregory Flanner, Mark Fu, Joshua S. Gauss, Michael Huey, Greg Im, Ulas Kivi, Rigel Marelle, Louis Onishi, Tatsuo Oshima, Naga Petropavlovskikh, Irina Peischl, Jeff Plummer, David A. Pozzoli, Luca Raut, Jean Christophe Ryerson, Tom Skeie, Ragnhild Solberg, Sverre Thomas, Manu A. Thompson, Chelsea Tsigaridis, Kostas Tsyro, Svetlana Turnock, Steven T. Von Salzen, Knut Tarasick, David W. |
spellingShingle |
Whaley, Cynthia H. Law, Kathy S. Hjorth, Jens Liengaard Skov, Henrik Arnold, Stephen R. Langner, Joakim Pernov, Jakob Boyd Bergeron, Garance Bourgeois, Ilann Christensen, Jesper H. Chien, Rong You Deushi, Makoto Dong, Xinyi Effertz, Peter Faluvegi, Gregory Flanner, Mark Fu, Joshua S. Gauss, Michael Huey, Greg Im, Ulas Kivi, Rigel Marelle, Louis Onishi, Tatsuo Oshima, Naga Petropavlovskikh, Irina Peischl, Jeff Plummer, David A. Pozzoli, Luca Raut, Jean Christophe Ryerson, Tom Skeie, Ragnhild Solberg, Sverre Thomas, Manu A. Thompson, Chelsea Tsigaridis, Kostas Tsyro, Svetlana Turnock, Steven T. Von Salzen, Knut Tarasick, David W. Arctic tropospheric ozone:Assessment of current knowledge and model performance |
author_facet |
Whaley, Cynthia H. Law, Kathy S. Hjorth, Jens Liengaard Skov, Henrik Arnold, Stephen R. Langner, Joakim Pernov, Jakob Boyd Bergeron, Garance Bourgeois, Ilann Christensen, Jesper H. Chien, Rong You Deushi, Makoto Dong, Xinyi Effertz, Peter Faluvegi, Gregory Flanner, Mark Fu, Joshua S. Gauss, Michael Huey, Greg Im, Ulas Kivi, Rigel Marelle, Louis Onishi, Tatsuo Oshima, Naga Petropavlovskikh, Irina Peischl, Jeff Plummer, David A. Pozzoli, Luca Raut, Jean Christophe Ryerson, Tom Skeie, Ragnhild Solberg, Sverre Thomas, Manu A. Thompson, Chelsea Tsigaridis, Kostas Tsyro, Svetlana Turnock, Steven T. Von Salzen, Knut Tarasick, David W. |
author_sort |
Whaley, Cynthia H. |
title |
Arctic tropospheric ozone:Assessment of current knowledge and model performance |
title_short |
Arctic tropospheric ozone:Assessment of current knowledge and model performance |
title_full |
Arctic tropospheric ozone:Assessment of current knowledge and model performance |
title_fullStr |
Arctic tropospheric ozone:Assessment of current knowledge and model performance |
title_full_unstemmed |
Arctic tropospheric ozone:Assessment of current knowledge and model performance |
title_sort |
arctic tropospheric ozone:assessment of current knowledge and model performance |
publishDate |
2023 |
url |
https://pure.au.dk/portal/en/publications/82e72f33-05e5-432d-83c0-1bd094e17a7d https://doi.org/10.5194/acp-23-637-2023 http://www.scopus.com/inward/record.url?scp=85147316661&partnerID=8YFLogxK |
long_lat |
ENVELOPE(-85.940,-85.940,79.990,79.990) |
geographic |
Arctic Eureka |
geographic_facet |
Arctic Eureka |
genre |
Arctic Arctic Human health |
genre_facet |
Arctic Arctic Human health |
op_source |
Whaley , C H , Law , K S , Hjorth , J L , Skov , H , Arnold , S R , Langner , J , Pernov , J B , Bergeron , G , Bourgeois , I , Christensen , J H , Chien , R Y , Deushi , M , Dong , X , Effertz , P , Faluvegi , G , Flanner , M , Fu , J S , Gauss , M , Huey , G , Im , U , Kivi , R , Marelle , L , Onishi , T , Oshima , N , Petropavlovskikh , I , Peischl , J , Plummer , D A , Pozzoli , L , Raut , J C , Ryerson , T , Skeie , R , Solberg , S , Thomas , M A , Thompson , C , Tsigaridis , K , Tsyro , S , Turnock , S T , Von Salzen , K & Tarasick , D W 2023 , ' Arctic tropospheric ozone : Assessment of current knowledge and model performance ' , Atmospheric Chemistry and Physics , vol. 23 , no. 1 , pp. 637-661 . https://doi.org/10.5194/acp-23-637-2023 |
op_relation |
https://pure.au.dk/portal/en/publications/82e72f33-05e5-432d-83c0-1bd094e17a7d |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/acp-23-637-2023 |
container_title |
Atmospheric Chemistry and Physics |
container_volume |
23 |
container_issue |
1 |
container_start_page |
637 |
op_container_end_page |
661 |
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1796302286815756288 |
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ftuniaarhuspubl:oai:pure.atira.dk:publications/82e72f33-05e5-432d-83c0-1bd094e17a7d 2024-04-14T08:05:38+00:00 Arctic tropospheric ozone:Assessment of current knowledge and model performance Whaley, Cynthia H. Law, Kathy S. Hjorth, Jens Liengaard Skov, Henrik Arnold, Stephen R. Langner, Joakim Pernov, Jakob Boyd Bergeron, Garance Bourgeois, Ilann Christensen, Jesper H. Chien, Rong You Deushi, Makoto Dong, Xinyi Effertz, Peter Faluvegi, Gregory Flanner, Mark Fu, Joshua S. Gauss, Michael Huey, Greg Im, Ulas Kivi, Rigel Marelle, Louis Onishi, Tatsuo Oshima, Naga Petropavlovskikh, Irina Peischl, Jeff Plummer, David A. Pozzoli, Luca Raut, Jean Christophe Ryerson, Tom Skeie, Ragnhild Solberg, Sverre Thomas, Manu A. Thompson, Chelsea Tsigaridis, Kostas Tsyro, Svetlana Turnock, Steven T. Von Salzen, Knut Tarasick, David W. 2023 https://pure.au.dk/portal/en/publications/82e72f33-05e5-432d-83c0-1bd094e17a7d https://doi.org/10.5194/acp-23-637-2023 http://www.scopus.com/inward/record.url?scp=85147316661&partnerID=8YFLogxK eng eng https://pure.au.dk/portal/en/publications/82e72f33-05e5-432d-83c0-1bd094e17a7d info:eu-repo/semantics/openAccess Whaley , C H , Law , K S , Hjorth , J L , Skov , H , Arnold , S R , Langner , J , Pernov , J B , Bergeron , G , Bourgeois , I , Christensen , J H , Chien , R Y , Deushi , M , Dong , X , Effertz , P , Faluvegi , G , Flanner , M , Fu , J S , Gauss , M , Huey , G , Im , U , Kivi , R , Marelle , L , Onishi , T , Oshima , N , Petropavlovskikh , I , Peischl , J , Plummer , D A , Pozzoli , L , Raut , J C , Ryerson , T , Skeie , R , Solberg , S , Thomas , M A , Thompson , C , Tsigaridis , K , Tsyro , S , Turnock , S T , Von Salzen , K & Tarasick , D W 2023 , ' Arctic tropospheric ozone : Assessment of current knowledge and model performance ' , Atmospheric Chemistry and Physics , vol. 23 , no. 1 , pp. 637-661 . https://doi.org/10.5194/acp-23-637-2023 article 2023 ftuniaarhuspubl https://doi.org/10.5194/acp-23-637-2023 2024-03-21T15:31:53Z As the third most important greenhouse gas (GHG) after carbon dioxide (CO2) and methane (CH4), tropospheric ozone (O3) is also an air pollutant causing damage to human health and ecosystems. This study brings together recent research on observations and modeling of tropospheric O3 in the Arctic, a rapidly warming and sensitive environment. At different locations in the Arctic, the observed surface O3 seasonal cycles are quite different. Coastal Arctic locations, for example, have a minimum in the springtime due to O3 depletion events resulting from surface bromine chemistry. In contrast, other Arctic locations have a maximum in the spring. The 12 state-of-the-art models used in this study lack the surface halogen chemistry needed to simulate coastal Arctic surface O3 depletion in the springtime; however, the multi-model median (MMM) has accurate seasonal cycles at non-coastal Arctic locations. There is a large amount of variability among models, which has been previously reported, and we show that there continues to be no convergence among models or improved accuracy in simulating tropospheric O3 and its precursor species. The MMM underestimates Arctic surface O3 by 5 % to 15 % depending on the location. The vertical distribution of tropospheric O3 is studied from recent ozonesonde measurements and the models. The models are highly variable, simulating free-tropospheric O3 within a range of ±50 % depending on the model and the altitude. The MMM performs best, within ±8 % for most locations and seasons. However, nearly all models overestimate O3 near the tropopause (-1/4300 hPa or -1/48 km), likely due to ongoing issues with underestimating the altitude of the tropopause and excessive downward transport of stratospheric O3 at high latitudes. For example, the MMM is biased high by about 20 % at Eureka. Observed and simulated O3 precursors (CO, NOx, and reservoir PAN) are evaluated throughout the troposphere. Models underestimate wintertime CO everywhere, likely due to a combination of underestimating CO emissions ... Article in Journal/Newspaper Arctic Arctic Human health Aarhus University: Research Arctic Eureka ENVELOPE(-85.940,-85.940,79.990,79.990) Atmospheric Chemistry and Physics 23 1 637 661 |