Arctic tropospheric ozone: assessment of current knowledge and model performance
As the third most important greenhouse gas (GHG) after carbon dioxide (CO 2 ) and methane ( CH 4 ), tropospheric ozone (O 3 ) is also an air pollutant causing damage to human health and ecosystems. This study brings together recent research on observations and modeling of tropospheric O 3 in the Arc...
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Copernicus Publications
2023
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Online Access: | https://doi.org/10.5194/acp-23-637-2023 https://doaj.org/article/8babaa457d7d4068bac1dd5438b4d0e2 |
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ftdoajarticles:oai:doaj.org/article:8babaa457d7d4068bac1dd5438b4d0e2 2023-05-15T14:40:09+02:00 Arctic tropospheric ozone: assessment of current knowledge and model performance C. H. Whaley K. S. Law J. L. Hjorth H. Skov S. R. Arnold J. Langner J. B. Pernov G. Bergeron I. Bourgeois J. H. Christensen R.-Y. Chien M. Deushi X. Dong P. Effertz G. Faluvegi M. Flanner J. S. Fu M. Gauss G. Huey U. Im R. Kivi L. Marelle T. Onishi N. Oshima I. Petropavlovskikh J. Peischl D. A. Plummer L. Pozzoli J.-C. Raut T. Ryerson R. Skeie S. Solberg M. A. Thomas C. Thompson K. Tsigaridis S. Tsyro S. T. Turnock K. von Salzen D. W. Tarasick 2023-01-01T00:00:00Z https://doi.org/10.5194/acp-23-637-2023 https://doaj.org/article/8babaa457d7d4068bac1dd5438b4d0e2 EN eng Copernicus Publications https://acp.copernicus.org/articles/23/637/2023/acp-23-637-2023.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 doi:10.5194/acp-23-637-2023 1680-7316 1680-7324 https://doaj.org/article/8babaa457d7d4068bac1dd5438b4d0e2 Atmospheric Chemistry and Physics, Vol 23, Pp 637-661 (2023) Physics QC1-999 Chemistry QD1-999 article 2023 ftdoajarticles https://doi.org/10.5194/acp-23-637-2023 2023-01-22T01:40:55Z As the third most important greenhouse gas (GHG) after carbon dioxide (CO 2 ) and methane ( CH 4 ), tropospheric ozone (O 3 ) is also an air pollutant causing damage to human health and ecosystems. This study brings together recent research on observations and modeling of tropospheric O 3 in the Arctic, a rapidly warming and sensitive environment. At different locations in the Arctic, the observed surface O 3 seasonal cycles are quite different. Coastal Arctic locations, for example, have a minimum in the springtime due to O 3 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 O 3 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 O 3 and its precursor species. The MMM underestimates Arctic surface O 3 by 5 % to 15 % depending on the location. The vertical distribution of tropospheric O 3 is studied from recent ozonesonde measurements and the models. The models are highly variable, simulating free-tropospheric O 3 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 O 3 near the tropopause ( ∼300 hPa or ∼8 km), likely due to ongoing issues with underestimating the altitude of the tropopause and excessive downward transport of stratospheric O 3 at high latitudes. For example, the MMM is biased high by about 20 % at Eureka. Observed and simulated O 3 precursors (CO, NO x , and reservoir PAN) are evaluated throughout the troposphere. Models underestimate wintertime CO everywhere, likely due to a combination of ... Article in Journal/Newspaper Arctic Human health Directory of Open Access Journals: DOAJ Articles Arctic Eureka ENVELOPE(-85.940,-85.940,79.990,79.990) Atmospheric Chemistry and Physics 23 1 637 661 |
institution |
Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Physics QC1-999 Chemistry QD1-999 |
spellingShingle |
Physics QC1-999 Chemistry QD1-999 C. H. Whaley K. S. Law J. L. Hjorth H. Skov S. R. Arnold J. Langner J. B. Pernov G. Bergeron I. Bourgeois J. H. Christensen R.-Y. Chien M. Deushi X. Dong P. Effertz G. Faluvegi M. Flanner J. S. Fu M. Gauss G. Huey U. Im R. Kivi L. Marelle T. Onishi N. Oshima I. Petropavlovskikh J. Peischl D. A. Plummer L. Pozzoli J.-C. Raut T. Ryerson R. Skeie S. Solberg M. A. Thomas C. Thompson K. Tsigaridis S. Tsyro S. T. Turnock K. von Salzen D. W. Tarasick Arctic tropospheric ozone: assessment of current knowledge and model performance |
topic_facet |
Physics QC1-999 Chemistry QD1-999 |
description |
As the third most important greenhouse gas (GHG) after carbon dioxide (CO 2 ) and methane ( CH 4 ), tropospheric ozone (O 3 ) is also an air pollutant causing damage to human health and ecosystems. This study brings together recent research on observations and modeling of tropospheric O 3 in the Arctic, a rapidly warming and sensitive environment. At different locations in the Arctic, the observed surface O 3 seasonal cycles are quite different. Coastal Arctic locations, for example, have a minimum in the springtime due to O 3 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 O 3 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 O 3 and its precursor species. The MMM underestimates Arctic surface O 3 by 5 % to 15 % depending on the location. The vertical distribution of tropospheric O 3 is studied from recent ozonesonde measurements and the models. The models are highly variable, simulating free-tropospheric O 3 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 O 3 near the tropopause ( ∼300 hPa or ∼8 km), likely due to ongoing issues with underestimating the altitude of the tropopause and excessive downward transport of stratospheric O 3 at high latitudes. For example, the MMM is biased high by about 20 % at Eureka. Observed and simulated O 3 precursors (CO, NO x , and reservoir PAN) are evaluated throughout the troposphere. Models underestimate wintertime CO everywhere, likely due to a combination of ... |
format |
Article in Journal/Newspaper |
author |
C. H. Whaley K. S. Law J. L. Hjorth H. Skov S. R. Arnold J. Langner J. B. Pernov G. Bergeron I. Bourgeois J. H. Christensen R.-Y. Chien M. Deushi X. Dong P. Effertz G. Faluvegi M. Flanner J. S. Fu M. Gauss G. Huey U. Im R. Kivi L. Marelle T. Onishi N. Oshima I. Petropavlovskikh J. Peischl D. A. Plummer L. Pozzoli J.-C. Raut T. Ryerson R. Skeie S. Solberg M. A. Thomas C. Thompson K. Tsigaridis S. Tsyro S. T. Turnock K. von Salzen D. W. Tarasick |
author_facet |
C. H. Whaley K. S. Law J. L. Hjorth H. Skov S. R. Arnold J. Langner J. B. Pernov G. Bergeron I. Bourgeois J. H. Christensen R.-Y. Chien M. Deushi X. Dong P. Effertz G. Faluvegi M. Flanner J. S. Fu M. Gauss G. Huey U. Im R. Kivi L. Marelle T. Onishi N. Oshima I. Petropavlovskikh J. Peischl D. A. Plummer L. Pozzoli J.-C. Raut T. Ryerson R. Skeie S. Solberg M. A. Thomas C. Thompson K. Tsigaridis S. Tsyro S. T. Turnock K. von Salzen D. W. Tarasick |
author_sort |
C. H. Whaley |
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 |
publisher |
Copernicus Publications |
publishDate |
2023 |
url |
https://doi.org/10.5194/acp-23-637-2023 https://doaj.org/article/8babaa457d7d4068bac1dd5438b4d0e2 |
long_lat |
ENVELOPE(-85.940,-85.940,79.990,79.990) |
geographic |
Arctic Eureka |
geographic_facet |
Arctic Eureka |
genre |
Arctic Human health |
genre_facet |
Arctic Human health |
op_source |
Atmospheric Chemistry and Physics, Vol 23, Pp 637-661 (2023) |
op_relation |
https://acp.copernicus.org/articles/23/637/2023/acp-23-637-2023.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 doi:10.5194/acp-23-637-2023 1680-7316 1680-7324 https://doaj.org/article/8babaa457d7d4068bac1dd5438b4d0e2 |
op_doi |
https://doi.org/10.5194/acp-23-637-2023 |
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Atmospheric Chemistry and Physics |
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23 |
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1 |
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637 |
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