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| Titel |
Assessing temporal clear-sky errors in assimilation of satellite CO2 retrievals using a global transport model |
| VerfasserIn |
K. D. Corbin, A. S. Denning, N. C. Parazoo |
| 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 ; 9, no. 9 ; Nr. 9, no. 9 (2009-05-12), S.3043-3048 |
| Datensatznummer |
250007271
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| Publikation (Nr.) |
 copernicus.org/acp-9-3043-2009.pdf |
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| Zusammenfassung |
| The Orbiting Carbon Observatory (OCO) and the Greenhouse gases Observing
SATellite (GOSAT) will make global observations of the total column dry-air
mole fraction of atmospheric CO2 (XCO2) starting in 2008.
Although satellites have global coverage, XCO2 retrievals will be
made only a few times each month over a given location and will only be
sampled in clear conditions. Modelers will use XCO2 in atmospheric
inversions to estimate carbon sources and sinks; however, if satellite
measurements are used to represent temporal averages, modelers may incur
temporal sampling errors. We investigate these errors using a global
transport model. Temporal sampling errors vary with time and location,
exhibit spatially coherent patterns, and are greatest over land and during
summer. These errors often exceed 1 ppm and must be addressed in a data
assimilation system by correct simulation of synoptic CO2 variations
associated with cloud systems. |
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