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| Titel |
Attribution of ozone changes to dynamical and chemical processes in CCMs and CTMs |
| VerfasserIn |
H. Garny, V. Grewe, M. Dameris, G. E. Bodeker, A. Stenke |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 4, no. 2 ; Nr. 4, no. 2 (2011-04-07), S.271-286 |
| Datensatznummer |
250001653
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| Publikation (Nr.) |
 copernicus.org/gmd-4-271-2011.pdf |
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| Zusammenfassung |
| Chemistry-climate models (CCMs) are commonly used to simulate the past and
future development of Earth's ozone layer. The fully coupled chemistry
schemes calculate the chemical production and destruction of ozone
interactively and ozone is transported by the simulated atmospheric flow. Due
to the complexity of the processes acting on ozone it is not straightforward
to disentangle the influence of individual processes on the temporal
development of ozone concentrations. A method is introduced here that
quantifies the influence of chemistry and transport on ozone concentration
changes and that is easily implemented in CCMs and chemistry-transport models
(CTMs). In this method, ozone tendencies (i.e. the time rate of change of
ozone) are partitioned into a contribution from ozone production and
destruction (chemistry) and a contribution from transport of ozone
(dynamics). The influence of transport on ozone in a specific region is
further divided into export of ozone out of that region and import of ozone
from elsewhere into that region. For this purpose, a diagnostic is used that
disaggregates the ozone mixing ratio field into 9 separate fields according
to in which of 9 predefined regions of the atmosphere the ozone originated.
With this diagnostic the ozone mass fluxes between these regions are
obtained. Furthermore, this method is used here to attribute long-term
changes in ozone to chemistry and transport. The relative change in ozone
from one period to another that is due to changes in production or
destruction rates, or due to changes in import or export of ozone, are
quantified. As such, the diagnostics introduced here can be used to attribute
changes in ozone on monthly, interannual and long-term time-scales to the
responsible mechanisms. Results from a CCM simulation are shown here as
examples, with the main focus of the paper being on introducing the method. |
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