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| Titel |
Technical note: an interannual inversion method forcontinuous CO2 data |
| VerfasserIn |
R. M. Law |
| 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 ; 4, no. 2 ; Nr. 4, no. 2 (2004-03-24), S.477-484 |
| Datensatznummer |
250001605
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| Publikation (Nr.) |
 copernicus.org/acp-4-477-2004.pdf |
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| Zusammenfassung |
| A sequential synthesis inversion method is described to estimate CO2
sources from continuous atmospheric data. The sequential method makes
the problem computationally feasible. The method is assessed using four-hourly
synthetic concentration data generated from known sources. Multi-year
mean sources and seasonal cycles are estimated with comparable quality as
those from a traditional inversion of monthly mean data.
Interannual variations in the estimated sources
are closer to those of the known sources using the four-hourly data rather than
monthly data. The computational
cost of the basis function simulations can be reduced by generating responses
that are only six months long. This does not significantly
degrade the inversion results compared to using responses that are 12 months
in length. |
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