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| Titel |
Biomass Burning observed during IAGOS – CARIBIC |
| VerfasserIn |
Marco Neumaier, Eric Förster, Harald Bönisch, Garlich Fischbeck, Layal Safadi, Markus Hermann, Denise Assmann, Andreas Zahn |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250150541
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| Publikation (Nr.) |
 EGU/EGU2017-15013.pdf |
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| Zusammenfassung |
| Since May 2005 the CARIBIC passenger aircraft (Civil Aircraft for the Regular
Investigation of the atmosphere Based on an Instrument Container – Lufthansa,
Airbus 340-600) measures ∼100 trace gases and aerosol components in the UTLS
(9-12 km altitude) on 4-6 consecutive long-distance flights per month. Volatile
Organic Compounds (VOCs) are measured with a Proton-Transfer-Reaction Mass
Spectrometer (PTR-MS). In 2017 the current instrument will be replaced by an
improved version, similar to the one operated by our group onboard the HALO research
aircraft.
Worldwide ∼1.3 Tg/y of acetonitrile (CH3CN) is emitted into the atmosphere almost
exclusively from biomass burning (BB) together with other VOCs (e.g. ketones,
aldehydes, aromatics), CO, CO2, NOx and aerosol particles. Therefore, and due to its
rather long tropospheric lifetime of ∼6 months, acetonitrile constitutes a reliable BB
tracer.
Based on the signal of acetonitrile and CO, we analyzed the IAGOS-CARIBIC data set
with respect to signatures of BB. The most intense but relatively rare BB signals
(up to ∼1200 pptV acetonitrile, i.e. ∼8 times the tropospheric background) were
sampled ∼3 km above the thermal tropopause over North America and Greenland in
boreal summer. However, the largest contribution of BB signatures (∼40%) was
observed over the tropics in autumn and winter. In the tropics ECMWF back trajectory
calculations show that the upward transport is driven by convection and we found hints for
secondary O3 production in BB affected air masses leading to an enhancement of ∼25
ppb O3 relative to the tropospheric background. Based on our applied detection
algorithm, ∼8% of the IAGOS-CARIBIC data were identified to be affected by BB. |
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