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| Titel |
GOSAT BESD XCO2 for MACC-II: Current Status |
| VerfasserIn |
Jens Heymann, Maximilian Reuter, Michael Hilker, Michael Buchwitz, Oliver Schneising, Heinrich Bovensmann, John P. Burrows |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250087112
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| Publikation (Nr.) |
 EGU/EGU2014-1129.pdf |
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| Zusammenfassung |
| Carbon dioxide (CO2) is the most important anthropogenic greenhouse gas contributing to
global warming. Near-surface sensitive measurements from satellite instruments such as
SCIAMACHY on-board ENVISAT and TANSO on-board GOSAT can provide important
missing global information on the regional sources and sinks of CO2. However, this requires
to meet challenging accuracy requirements.
An algorithm to retrieve the column-averaged dry air mole fraction of CO2 ("XCO2")
from satellite measurements is the Bremen Optimal Estimation DOAS (BESD) retrieval
algorithm. BESD was originally developed to retrieve XCO2 from SCIAMACHY
measurements. In the framework of the MACC-II project, the SCIAMACHY BESD XCO2
product was delivered for MACC-II for delayed mode production and monitoring by
University of Bremen. After the loss of ENVISAT in April 2012, it was decided that
University of Bremen shall deliver GOSAT XCO2 instead of SCIAMACHY XCO2. To
achieve this, the BESD algorithm has been modified. Consistency of long-term XCO2
products derived from different satellites is important for climate applications and using the
same algorithm contributes to minimize inconsistencies. Here, we present results from these
activities. |
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