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| Titel |
Consistent satellite carbon dioxide retrievals for SCIAMACHY and GOSAT using the BESD algorithm |
| VerfasserIn |
Jens Heymann, Maximilian Reuter, Michael Hilker, Michael Buchwitz, Oliver Schneising, Heinrich Bovensmann, John P. Burrows |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250101980
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| Publikation (Nr.) |
 EGU/EGU2015-1964.pdf |
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| Zusammenfassung |
| Consistent and accurate long-term data sets of global atmospheric concentrations of carbon
dioxide (CO2) are needed for carbon cycle and climate related research. However, global
long-term data sets based on satellite observations may suffer from inconsistencies
originating from the use of products derived from different satellites. One reason for
inconsistencies can be the use of different retrieval algorithms. This issue has been addressed
by applying the same algorithm to observations of different satellite instruments. The Bremen
Optimal Estimation DOAS (BESD) retrieval algorithm initially developed to retrieve
the column-averaged dry-air mole fration of CO2 (XCO2) from observations of
SCIAMACHY onboard ENVISAT has been modified to also retrieve XCO2 from
TANSO-FTS onboard GOSAT. The GOSAT BESD XCO2 is a product generated and
delivered to EU’s Monitoring and Atmospheric Composition and Climate (MACC)
project for assimilation into ECMWF’s Integrated Forecasting System (IFS). An
assessment of the GOSAT BESD XCO2 data set using ground-based observations
of XCO2 from the Total Carbon Column Observing Network (TCCON) and an
investigation concerning the consistency of the SCIAMACHY BESD and GOSAT BESD
XCO2 data sets has been performed. Here, results of these activities are presented. |
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