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| Titel |
When will the global ozone layer recover? A semi-empirical approach |
| VerfasserIn |
P. E. Huck, G. E. Bodeker, S. Kremser, M. Rex, M. L. Santee, M. Meinshausen, A. J. McDonald |
| Konferenz |
EGU General Assembly 2012
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 14 (2012) |
| Datensatznummer |
250065420
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| Zusammenfassung |
| Semi-empirical models to relate the conversion of total Antarctic stratospheric chlorine (Cly)
to activated Antarctic stratospheric chlorine (defined by daytime chlorine monoxide (ClO)),
and the quantity of activated chlorine to the rate of ozone destruction were developed. These
two models provide a proof-of-concept for a new fast and inexpensive way to describe the
inter- and intra-annual evolution of stratospheric ozone. The equations are based on physical
relationships and capture key sensitivities in the Antarctic stratosphere that determine the
interaction between changes in chemical composition, changes in climate, and Antarctic
ozone depletion. Based on these results, SWIFT – a Semi-empirical, Weighted Iterative Fit
Technique – was developed to capture more detail in the chemical processes of
Arctic and Antarctic ozone depletion. SWIFT solves differential equations that
describe the vortex average evolution of quantities driving chlorine activation and
deactivation and ozone depletion. This set of equations provides a new and fast interactive
stratospheric chemistry scheme. Chemistry-climate models, which are state-of-the-art
models currently used to make projections of the global ozone layer, are extremely
computationally demanding and cannot provide ensembles of simulations that span the
full range of uncertainty required for international policy. Implementation of our
stratospheric chemistry scheme into a simple climate model builds a fast emulator
of these highly complex models using semi-empirical equations describing key
stratospheric processes related to ozone destruction which are trained on observations. |
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