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| Titel |
Evaluation of a three-dimensional chemical transport model (PMCAMx) in the European domain during the EUCAARI May 2008 campaign |
| VerfasserIn |
C. Fountoukis, P. N. Racherla, H. A. C. Denier van der Gon, P. Polymeneas, P. E. Charalampidis, C. Pilinis, A. Wiedensohler, M. Dall'Osto, C. O'Dowd, S. N. Pandis |
| 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 ; 11, no. 20 ; Nr. 11, no. 20 (2011-10-18), S.10331-10347 |
| Datensatznummer |
250010130
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| Publikation (Nr.) |
 copernicus.org/acp-11-10331-2011.pdf |
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| Zusammenfassung |
| PMCAMx-2008, a detailed three-dimensional chemical transport model (CTM),
was applied to Europe to simulate the mass concentration and chemical
composition of particulate matter (PM) during May 2008. The model includes a
state-of-the-art organic aerosol module which is based on the volatility
basis set framework treating both primary and secondary organic components
as semivolatile and photochemically reactive. The model performance is
evaluated against high time resolution aerosol mass spectrometer (AMS)
ground and airborne measurements. Overall, organic aerosol is predicted to
account for 32% of total PM1 at ground level during May 2008,
followed by sulfate (30%), crustal material and sea-salt (14%),
ammonium (13%), nitrate (7%), and elemental carbon (4%). The model
predicts that fresh primary OA (POA) is a small contributor to organic PM
concentrations in Europe during late spring, and that oxygenated species
(oxidized primary and biogenic secondary) dominate the ambient OA. The
Mediterranean region is the only area in Europe where sulfate concentrations
are predicted to be much higher than the OA, while organic matter is
predicted to be the dominant PM1 species in central and northern
Europe. The comparison of the model predictions with the ground measurements
in four measurement stations is encouraging. The model reproduces more than
94% of the daily averaged data and more than 87% of the hourly data
within a factor of 2 for PM1 OA. The model tends to predict relatively
flat diurnal profiles for PM1 OA in many areas, both rural and urban in
agreement with the available measurements. The model performance against the
high time resolution airborne measurements at multiple altitudes and
locations is as good as its performance against the ground level hourly
measurements. There is no evidence of missing sources of OA aloft over
Europe during this period. |
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