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| Titel |
GOSAT BESD XCO2 Retrieval: First Results |
| VerfasserIn |
Jens Heymann, Maximilian Reuter, Michael Hilker, Michael Buchwitz, Oliver Schneising, Heinrich Bovensmann, John P. Burrows |
| 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 |
250072203
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| Zusammenfassung |
| Carbon dioxide (CO2) is the most important anthropogenic greenhouse gas contributing to
global climate change. Column-averaged dry air mole fractions of CO2 (XCO2) as retrieved
from near-surface sensitive measurements of satellite instruments such as SCIAMACHY
onboard ENVISAT have the potential to provide important missing global information on the
sources and sinks of CO2. This however requires to meet challenging accuracy
requirements.
In order to retrieve XCO2 from SCIAMACHY, the Bremen Optimal Estimation - DOAS
(BESD) retrieval algorithm has been developed. After the end of the ENVISAT mission in
March 2012, the only satellite instrument with high sensitivity near the surface is TANSO
onboard GOSAT (launched 2009). To obtain a consistant global long-term XCO2 data set
from these two instruments, a modified version of the BESD algorithm is also used for the
retrieval of XCO2 from GOSAT. Here, first GOSAT BESD XCO2 retrieval results are
presented. |
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