Arctic tropospheric ozone: assessment of current knowledge and model performance
As the third most important greenhouse gas (GHG) after CO 2 and methane, 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...
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ftcopernicus:oai:publications.copernicus.org:acpd102901 2023-05-15T14:37:39+02:00 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 Chien, Rong-You Christensen, Jesper H. Deushi, Makoto Dong, Xinyi Faluvegi, Gregory Flanner, Mark Fu, Joshua S. Gauss, Michael Im, Ulas Marelle, Louis Onishi, Tatsuo Oshima, Naga Plummer, David A. Pozzoli, Luca Raut, Jean-Christophe Skeie, Ragnhild Thomas, Manu A. Tsigaridis, Kostas Tsyro, Svetlana Turnock, Steven T. Salzen, Knut Tarasick, David W. 2022-05-17 application/pdf https://doi.org/10.5194/acp-2022-319 https://acp.copernicus.org/preprints/acp-2022-319/ eng eng doi:10.5194/acp-2022-319 https://acp.copernicus.org/preprints/acp-2022-319/ eISSN: 1680-7324 Text 2022 ftcopernicus https://doi.org/10.5194/acp-2022-319 2022-05-23T16:22:31Z As the third most important greenhouse gas (GHG) after CO 2 and methane, 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 reported previously, and we show that there continues to be no convergence among models, nor 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 % at 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 underestimating CO emissions and ... Text Arctic Human health Copernicus Publications: E-Journals Arctic Eureka ENVELOPE(-85.940,-85.940,79.990,79.990) |
institution |
Open Polar |
collection |
Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
description |
As the third most important greenhouse gas (GHG) after CO 2 and methane, 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 reported previously, and we show that there continues to be no convergence among models, nor 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 % at 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 underestimating CO emissions and ... |
format |
Text |
author |
Whaley, Cynthia H. Law, Kathy S. Hjorth, Jens Liengaard Skov, Henrik Arnold, Stephen R. Langner, Joakim Pernov, Jakob Boyd Chien, Rong-You Christensen, Jesper H. Deushi, Makoto Dong, Xinyi Faluvegi, Gregory Flanner, Mark Fu, Joshua S. Gauss, Michael Im, Ulas Marelle, Louis Onishi, Tatsuo Oshima, Naga Plummer, David A. Pozzoli, Luca Raut, Jean-Christophe Skeie, Ragnhild Thomas, Manu A. Tsigaridis, Kostas Tsyro, Svetlana Turnock, Steven T. 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 Chien, Rong-You Christensen, Jesper H. Deushi, Makoto Dong, Xinyi Faluvegi, Gregory Flanner, Mark Fu, Joshua S. Gauss, Michael Im, Ulas Marelle, Louis Onishi, Tatsuo Oshima, Naga Plummer, David A. Pozzoli, Luca Raut, Jean-Christophe Skeie, Ragnhild Thomas, Manu A. Tsigaridis, Kostas Tsyro, Svetlana Turnock, Steven T. 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 Chien, Rong-You Christensen, Jesper H. Deushi, Makoto Dong, Xinyi Faluvegi, Gregory Flanner, Mark Fu, Joshua S. Gauss, Michael Im, Ulas Marelle, Louis Onishi, Tatsuo Oshima, Naga Plummer, David A. Pozzoli, Luca Raut, Jean-Christophe Skeie, Ragnhild Thomas, Manu A. Tsigaridis, Kostas Tsyro, Svetlana Turnock, Steven T. 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 |
2022 |
url |
https://doi.org/10.5194/acp-2022-319 https://acp.copernicus.org/preprints/acp-2022-319/ |
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 |
eISSN: 1680-7324 |
op_relation |
doi:10.5194/acp-2022-319 https://acp.copernicus.org/preprints/acp-2022-319/ |
op_doi |
https://doi.org/10.5194/acp-2022-319 |
_version_ |
1766309871578251264 |