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| Titel |
MAX-DOAS tropospheric nitrogen dioxide column measurements compared with the Lotos-Euros air quality model |
| VerfasserIn |
T. Vlemmix, H. J. Eskes, A. J. M. Piters, M. Schaap, F. J. Sauter, H. Kelder, P. F. Levelt |
| 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 ; 15, no. 3 ; Nr. 15, no. 3 (2015-02-06), S.1313-1330 |
| Datensatznummer |
250119393
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| Publikation (Nr.) |
 copernicus.org/acp-15-1313-2015.pdf |
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| Zusammenfassung |
| A 14-month data set
of MAX-DOAS (Multi-Axis Differential Optical Absorption Spectroscopy) tropospheric NO2 column observations in
De Bilt, the Netherlands, has been compared with the regional air quality
model Lotos-Euros. The model was run on a 7×7 km2 grid, the same
resolution as the emission inventory used. A study was performed to assess
the effect of clouds on the retrieval accuracy of the MAX-DOAS observations.
Good agreement was found between modeled and measured tropospheric
NO2 columns, with an average difference of less than 1% of the
average tropospheric column (14.5 · 1015 molec cm−2). The
comparisons show little cloud cover dependence after cloud corrections for
which ceilometer data were used. Hourly differences between observations and
model show a Gaussian behavior with a standard deviation
(σ) of 5.5 · 1015 molec cm−2. For daily averages of
tropospheric NO2 columns, a correlation of 0.72 was found for all
observations, and 0.79 for cloud free conditions. The measured and modeled
tropospheric NO2 columns have an almost identical distribution over
the wind direction. A significant difference between model and measurements
was found for the average weekly cycle, which shows a much stronger decrease
during the weekend for the observations; for the diurnal cycle, the observed
range is about twice as large as the modeled range. The results of the
comparison demonstrate that averaged over a long time period, the
tropospheric NO2 column observations are representative for a large
spatial area despite the fact that they were obtained in an urban region.
This makes the MAX-DOAS technique especially suitable for validation of
satellite observations and air quality models in urban regions. |
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