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| Titel |
Inter-annual variability of the surface ozone concentration at European mountain stations: main patterns and driving mechanisms |
| VerfasserIn |
O. A. Tarasova, I. A. Senik, J. Staehelin, J. Cui, A. S. H. Prévôt |
| Konferenz |
EGU General Assembly 2009
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 11 (2009) |
| Datensatznummer |
250027656
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| Zusammenfassung |
| The long-term measurements (1990-2006) of the surface ozone concentration at Kislovodsk
High Mountain Station (KHMS) in Caucasus, Russia (43.70N, 42.70E, 2070m a.s.l.) and
Jungfraujoch (JFJ) in the Alps, Switzerland (46.50N, 7.90E, 3580m a.s.l.) are studied. We
focus on analysis of the inter-annual variability of the surface ozone, its main patterns and
causes. Wavelet analysis of the ozone concentration series shows the presence of a
quasi-periodic variability in the data (around 2-3 years). This variability is detectable since
1997/1998 while in the beginning of the time series it is likely to be masked by strong
concentration trends. Inter-annual variability can be seen through the change (shift) of the
month of seasonal ozone maxima from year to year. For the interpretation of the observed
inter-annual variability a set of diagnostic local, regional and global parameters is considered.
To attribute the ozone concentration variability to the air transport changes the
LAGRANTO trajectories are used. In particular the impact of the changes in the
frequency of the contact with the stratosphere and the planetary boundary layer on the
ozone variability is analyzed. Different trajectory lengths are selected to investigate
different “impacting” areas. Changes in horizontal advection patterns are taken into
consideration by accounting for the changes in the advection clusters frequency
and the role of local factors is considered through local meteorological conditions
variability. Impact of the global atmosphere dynamics variability on the surface ozone
inter-annual changes is assessed by correlation analysis of ozone datasets with global
teleconnections and El Niño indices. Contributions of mentioned above factors into
total variability of the surface ozone concentration at two locations are discussed. |
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