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| Titel |
Reevaluation of stratospheric ozone trends from SAGE II data using a simultaneous temporal and spatial analysis |
| VerfasserIn |
R. P. Damadeo, J. M. Zawodny, L. W. Thomason |
| 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 ; 14, no. 24 ; Nr. 14, no. 24 (2014-12-17), S.13455-13470 |
| Datensatznummer |
250119248
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| Publikation (Nr.) |
 copernicus.org/acp-14-13455-2014.pdf |
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| Zusammenfassung |
| This paper details a new method of regression for sparsely sampled data sets
for use with time-series analysis, in particular the Stratospheric Aerosol
and Gas Experiment (SAGE) II ozone data set. Non-uniform spatial, temporal,
and diurnal sampling present in the data set result in biased values for the
long-term trend if not accounted for. This new method is performed close to
the native resolution of measurements and is a simultaneous temporal and
spatial analysis that accounts for potential diurnal ozone variation. Results
show biases, introduced by the way data are prepared for use with traditional
methods, can be as high as 10%. Derived long-term changes show declines in
ozone similar to other studies but very different trends in the presumed
recovery period, with differences up to 2% per decade. The regression model
allows for a variable turnaround time and reveals a hemispheric asymmetry in
derived trends in the middle to upper stratosphere. Similar methodology is
also applied to SAGE II aerosol optical depth data to create a new volcanic
proxy that covers the SAGE II mission period. Ultimately this technique may
be extensible towards the inclusion of multiple data sets without the need
for homogenization. |
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