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| Titel |
The simulation of the Antarctic ozone hole by chemistry-climate models |
| VerfasserIn |
H. Struthers, G. E. Bodeker, J. Austin, S. Bekki, I. Cionni, M. Dameris, M. A. Giorgetta, V. Grewe, F. Lefèvre, F. Lott, E. Manzini, T. Peter, E. Rozanov, M. Schraner |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7316
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 9, no. 17 ; Nr. 9, no. 17 (2009-09-03), S.6363-6376 |
| Datensatznummer |
250007605
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| Publikation (Nr.) |
 copernicus.org/acp-9-6363-2009.pdf |
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| Zusammenfassung |
| While chemistry-climate models are able to reproduce many characteristics of the
global total column ozone field and its long-term evolution, they have fared
less well in simulating the commonly used diagnostic of the area of the
Antarctic ozone hole i.e. the area within the 220 Dobson Unit (DU) contour. Two
possible reasons for this are: (1) the underlying Global Climate Model (GCM) does not
correctly simulate the size of the polar vortex, and (2) the stratospheric
chemistry scheme incorporated into the GCM, and/or the model dynamics, results
in systematic biases in the total column ozone fields such that the 220 DU
contour is no longer appropriate for delineating the edge of the ozone hole.
Both causes are examined here with a view to developing ozone hole area
diagnostics that better suit measurement-model inter-comparisons. The interplay
between the shape of the meridional mixing barrier at the edge of the vortex and
the meridional gradients in total column ozone across the vortex edge is
investigated in measurements and in 5 chemistry-climate models (CCMs). Analysis
of the simulation of the polar vortex in the CCMs shows that the first of the
two possible causes does play a role in some models. This in turn affects the
ability of the models to simulate the large observed meridional gradients in
total column ozone. The second of the two causes also strongly affects the
ability of the CCMs to track the observed size of the ozone hole. It is shown
that by applying a common algorithm to the CCMs for selecting a delineating
threshold unique to each model, a more appropriate diagnostic of ozone hole area
can be generated that shows better agreement with that derived from
observations. |
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