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| Titel |
Airborne measurements of spatial NO2 distributions during AROMAT |
| VerfasserIn |
Andreas Carlos Meier, André Seyler, Anja Schönhardt, Andreas Richter, Thomas Ruhtz, Carsten Lindemann, John P. Burrows |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250107251
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| Publikation (Nr.) |
 EGU/EGU2015-6946.pdf |
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| Zusammenfassung |
| Nitrogen oxides, NOx (NOx = NO + NO2) play a key role in tropospheric chemistry. In
addition to their directly harmful effects on the respiratory system of living organisms, they
influence the levels of tropospheric ozone and contribute to acid rain and eutrophication of
ecosystems. As they are produced in combustion processes, they can serve as an indicator for
anthropogenic air pollution.
In September 2014 several European research groups conducted the ESA funded
Airborne ROmanian Measurements of Aerosols and Trace gases (AROMAT) campaign to
test and intercompare newly developed airborne observation sytsems dedicated to air quality
satellite validation studies.
The IUP Bremen contributed to this campaign with its Airborne imaging DOAS
instrument for Measurements of Atmospheric Pollution (AirMAP) on board a Cessna 207
turbo, operated by the FU Berlin. AirMAP allows the retrieval of integrated NO2 column
densities in a stripe below the aircraft at a fine spatial resolution of up to 30 x 80 m2,
at a typical flight altitude. Measurements have been performed over the city of
Bucharest, creating for the first time high spatial resolution maps of Bucharest’s NO2
distribution in a time window of approx. 2 hours. The observations were synchronised
with ground-based car MAX-DOAS measurements for comparison. In addition,
measurements were taken over the city of Berlin, Germany and at the Rovinari power plant,
Romania.
In this work the results of the research flights will be presented and conclusions will be
drawn on the quality of the measurements, their applicability for satellite data validation and
possible improvements for future measurements. |
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