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| Titel |
Inversion of long-lived trace gas emissions using combined Eulerian and Lagrangian chemical transport models |
| VerfasserIn |
M. Rigby, A. J. Manning, R. G. Prinn |
| 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 ; 11, no. 18 ; Nr. 11, no. 18 (2011-09-26), S.9887-9898 |
| Datensatznummer |
250010101
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| Publikation (Nr.) |
 copernicus.org/acp-11-9887-2011.pdf |
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| Zusammenfassung |
| We present a method for estimating emissions of long-lived trace gases from a
sparse global network of high-frequency observatories, using both a global
Eulerian chemical transport model and Lagrangian particle dispersion model.
Emissions are derived in a single step after determining sensitivities of the
observations to initial conditions, the high-resolution emissions field close
to observation points, and larger regions further from the measurements. This
method has the several advantages over inversions using one type of model
alone, in that: high-resolution simulations can be carried out in limited
domains close to the measurement sites, with lower resolution being used
further from them; the influence of errors due to aggregation of emissions
close to the measurement sites can be minimized; assumptions about boundary
conditions to the Lagrangian model do not need to be made, since the entire
emissions field is estimated; any combination of appropriate models can be
used, with no code modification. Because the sensitivity to the entire
emissions field is derived, the estimation can be carried out using
traditional statistical methods without the need for multiple steps in the
inversion. We demonstrate the utility of this approach by determining global
SF6 emissions using measurements from the Advanced Global Atmospheric
Gases Experiment (AGAGE) between 2007 and 2009. The global total and
large-scale patterns of the derived emissions agree well with previous
studies, whilst allowing emissions to be determined at higher resolution than
has previously been possible, and improving the agreement between the modeled
and observed mole fractions at some sites. |
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