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Titel |
Quantifying the source/receptor link for the IAGOS-MOZAIC observation database |
VerfasserIn |
Antoine Auby, Bastien Sauvage, Valérie Thouret, Damien Boulanger, Sabine Eckhardt, Sabine Darras, Solene Turquety |
Konferenz |
EGU General Assembly 2013
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Medientyp |
Artikel
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Sprache |
Englisch
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 15 (2013) |
Datensatznummer |
250074168
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Zusammenfassung |
Since 1994, the IAGOS-MOZAIC (In-service Aircraft for a Global Observing System and
Measurements of OZone, water vapor, nitrogen oxides and carbon monoxide by Airbus
In-service airCraft, http://www.iagos.org) project has produced in-situ measurements of
chemical species through 35000 commercial aircraft flights. The IAGOS-MOZAIC database
provides documentation of ozone, carbone monoxide and nitrogen oxides, mostly in the
upper troposphere and lower stratosphere of the northern hemisphere, but without a priori
specific sampling strategy.
In order to help analyzing these observations and understanding the processes driving
their evolution, we improved the methodology used by Stohl et al. (2003), a lagrangian
modelling tool that links the observed pollutants to their sources. Based on the FLEXPART
plume dispersion model, this tool simulates contributions of anthropogenic and biomass
burning emissions from the ECCAD platform (http://www.pole-ether.fr/eccad), or of specific
inventories (i.e. designed for observation campaigns), to the measured carbon monoxide
mixing ratio along each IAGOS-MOZAIC flight. These contributions are simulated for the
last 20 days before the observation, separating individual contributions from the different
source regions, and include a state-of-the-art estimation of background concentrations
taking into account the origin of air masses (i.e. stratospheric intrusions, boundary
layer).
The main goal is to supply add-value products to the IAGOS-MOZAIC database showing
pollutants geographical origin and emission type, as well as an estimation of the carbon
monoxide mixing ratio along the flights when the observations are not available. Using these
informations, it will be possible to link trends in the atmospheric composition to changes in
the transport pathways and to the evolution of emissions. We will also show that this tool can
be used for validation and intercomparison of emission inventories, as lagrangian models are
able to bring the global scale emissions down to a smaller scale, where they can be
directly compared to the in-situ observations from the IAGOS-MOZAIC database. |
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