Objective assessment of ozone in chemistry-climate model simulations
Stratospheric ozone recovery is expected to drive pronounced trends in atmospherictemperature and circulation from the stratosphere to the troposphere in the 21st cen-tury, but coupled chemistry-climate models (CCMs) vary widely in their predictions offuture ozone evolution. In order to assess which...
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ftethz:oai:www.research-collection.ethz.ch:20.500.11850/157207 2023-05-15T13:41:37+02:00 Objective assessment of ozone in chemistry-climate model simulations Karpechko, Alexey Yu. Gillett, Nathan P. Hassler, Birgit Rosenlof, Karen H. Rozanov, Eugene 2009-09-17 application/application/pdf https://hdl.handle.net/20.500.11850/157207 https://doi.org/10.3929/ethz-b-000157207 en eng Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/acpd-9-19351-2009 http://hdl.handle.net/20.500.11850/157207 doi:10.3929/ethz-b-000157207 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/3.0/ Creative Commons Attribution 3.0 Unported CC-BY Atmospheric Chemistry and Physics Discussions, 9 (5) info:eu-repo/semantics/workingPaper 2009 ftethz https://doi.org/20.500.11850/157207 https://doi.org/10.3929/ethz-b-000157207 https://doi.org/10.5194/acpd-9-19351-2009 2023-02-13T01:05:11Z Stratospheric ozone recovery is expected to drive pronounced trends in atmospherictemperature and circulation from the stratosphere to the troposphere in the 21st cen-tury, but coupled chemistry-climate models (CCMs) vary widely in their predictions offuture ozone evolution. In order to assess which models might be expected to better simulate future ozone evaluation, we assess the ability of twelve CCMs to simulateobserved ozone climatology and trends and rank the models according to their errorsaveraged across the individual diagnostics chosen. According to our analysis no onemodel performs better than the others in all the diagnostics; however, combining errorsin individual diagnostics into one metric of model performance allows us to objectively rank the models. The multi-model average shows better overall agreement with theobservations than any individual model. Based on this analysis we conclude that themulti-model average ozone projection presents the best estimate of future ozone evolu-tion. Our results also demonstrate a sensitivity of the analysis to the choice of referencedata set for vertical ozone distribution over the Antarctic, highlighting the constraints that large observational uncertainty imposes on such model verification. ISSN:1680-7375 ISSN:1680-7367 Report Antarc* Antarctic ETH Zürich Research Collection Antarctic The Antarctic |
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Open Polar |
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ETH Zürich Research Collection |
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language |
English |
description |
Stratospheric ozone recovery is expected to drive pronounced trends in atmospherictemperature and circulation from the stratosphere to the troposphere in the 21st cen-tury, but coupled chemistry-climate models (CCMs) vary widely in their predictions offuture ozone evolution. In order to assess which models might be expected to better simulate future ozone evaluation, we assess the ability of twelve CCMs to simulateobserved ozone climatology and trends and rank the models according to their errorsaveraged across the individual diagnostics chosen. According to our analysis no onemodel performs better than the others in all the diagnostics; however, combining errorsin individual diagnostics into one metric of model performance allows us to objectively rank the models. The multi-model average shows better overall agreement with theobservations than any individual model. Based on this analysis we conclude that themulti-model average ozone projection presents the best estimate of future ozone evolu-tion. Our results also demonstrate a sensitivity of the analysis to the choice of referencedata set for vertical ozone distribution over the Antarctic, highlighting the constraints that large observational uncertainty imposes on such model verification. ISSN:1680-7375 ISSN:1680-7367 |
format |
Report |
author |
Karpechko, Alexey Yu. Gillett, Nathan P. Hassler, Birgit Rosenlof, Karen H. Rozanov, Eugene |
spellingShingle |
Karpechko, Alexey Yu. Gillett, Nathan P. Hassler, Birgit Rosenlof, Karen H. Rozanov, Eugene Objective assessment of ozone in chemistry-climate model simulations |
author_facet |
Karpechko, Alexey Yu. Gillett, Nathan P. Hassler, Birgit Rosenlof, Karen H. Rozanov, Eugene |
author_sort |
Karpechko, Alexey Yu. |
title |
Objective assessment of ozone in chemistry-climate model simulations |
title_short |
Objective assessment of ozone in chemistry-climate model simulations |
title_full |
Objective assessment of ozone in chemistry-climate model simulations |
title_fullStr |
Objective assessment of ozone in chemistry-climate model simulations |
title_full_unstemmed |
Objective assessment of ozone in chemistry-climate model simulations |
title_sort |
objective assessment of ozone in chemistry-climate model simulations |
publisher |
Copernicus |
publishDate |
2009 |
url |
https://hdl.handle.net/20.500.11850/157207 https://doi.org/10.3929/ethz-b-000157207 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
Atmospheric Chemistry and Physics Discussions, 9 (5) |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/acpd-9-19351-2009 http://hdl.handle.net/20.500.11850/157207 doi:10.3929/ethz-b-000157207 |
op_rights |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/3.0/ Creative Commons Attribution 3.0 Unported |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/20.500.11850/157207 https://doi.org/10.3929/ethz-b-000157207 https://doi.org/10.5194/acpd-9-19351-2009 |
_version_ |
1766153045835513856 |