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| Titel |
The impact of weather and atmospheric circulation on O3 and PM10 levels at a rural mid-latitude site |
| VerfasserIn |
M. Demuzere, R. M. Trigo, J. Vilà-Guerau de Arellano, N. P. M. Lipzig |
| 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. 8 ; Nr. 9, no. 8 (2009-04-23), S.2695-2714 |
| Datensatznummer |
250007207
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| Publikation (Nr.) |
 copernicus.org/acp-9-2695-2009.pdf |
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| Zusammenfassung |
| In spite of the strict EU regulations, concentrations of surface ozone and
PM10 often exceed the pollution standards for the Netherlands and
Europe. Their concentrations are controlled by (precursor) emissions, social
and economic developments and a complex combination of meteorological
actors. This study tackles the latter, and provides insight in the
meteorological processes that play a role in O3 and PM10 levels in
rural mid-latitudes sites in the Netherlands. The relations between
meteorological actors and air quality are studied on a local scale based on
observations from four rural sites and are determined by a comprehensive
correlation analysis and a multiple regression (MLR) analysis in 2 modes,
with and without air quality variables as predictors. Furthermore, the
objective Lamb Weather Type approach is used to assess the influence of the
large-scale circulation on air quality. Keeping in mind its future use in
downscaling future climate scenarios for air quality purposes, special
emphasis is given to an appropriate selection of the regressor variables
readily available from operational meteorological forecasts or AOGCMs
(Atmosphere-Ocean coupled General Circulation Models). The regression models
perform satisfactory, especially for O3, with an (R2 of 57.0%
and 25.0% for PM10. Including previous day air quality information
increases significantly the models performance by 15% (O3) and
18% (PM10). The Lamb weather types show a seasonal distinct pattern
for high (low) episodes of average O3 and PM10 concentrations, and
these are clear related with the meteorology-air quality correlation
analysis. Although using a circulation type approach can provide important
additional physical relations forward, our analysis reveals the circulation
method is limited in terms of short-term air quality forecast for both
O3 and PM10 (R2 between 0.12 and 23%). In summary, it is
concluded that the use of a regression model is more promising for
short-term downscaling from climate scenarios than the use of a weather type
classification approach. |
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