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| Titel |
Top-down estimates of European CH4 and N2O emissions based on 5 different inverse models |
| VerfasserIn |
Peter Bergamaschi, Matteo Corazza, Arjo Segers, Alex Vermeulen, Alistair Manning, Maria Athanassiadou, Rona Thompson, Isabelle Pison, Philippe Bousquet, Ute Karstens |
| Konferenz |
EGU General Assembly 2011
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 13 (2011) |
| Datensatznummer |
250046549
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| Zusammenfassung |
| European CH4 and N2O emissions are estimated for the years 2006 and 2007 using 5
independent inverse modeling systems, based on different global and regional Eulerian and
Lagrangian transport models. The major objective of this ensemble approach is to provide
more realistic estimates of the overall uncertainties of the derived emissions. This is
particularly important for the application of inverse modeling to verify bottom-up
inventories.
We use continuous observations from 10 European stations (including several tall towers)
for CH4 (8 stations for N2O), complemented by further European and global flask sampling
sites. While the CH4 measurements from the different monitoring groups used in this study
are relatively well inter-calibrated, we apply a recently developed bias correction scheme for
the N2O measurements to correct for significant calibration offsets, which are apparent for
measurements from different laboratories.
The available observations mainly constrain CH4 and N2O emissions from Northwest and
Eastern Europe. The different inverse models show reasonable consistency regarding the
derived emissions from larger regions and country totals, but show significant differences on
smaller scales. While the modeling protocol for the reference inversion includes the use of a
priori information from detailed bottom-up inventories, additional sensitivity studies without
this a priori information demonstrate the significant constraints of the observations on the
emissions from larger regions within the footprint area of the measurement network. |
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