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| Titel |
CarbonSat: Quantification of random and systematic errors of column-averaged CO2 and methane retrievals |
| VerfasserIn |
M. Buchwitz, M. Reuter, O. Schneising, J. Heymann, H. Bovensmann, J. P. Burrows |
| Konferenz |
EGU General Assembly 2012
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 14 (2012) |
| Datensatznummer |
250060783
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| Zusammenfassung |
| The Carbon Monitoring Satellite (CarbonSat, http://www.iup.uni-bremen.de/carbonsat) has
been selected by ESA end of 2010 to be one of two Earth Explorer Opportunity candidate
missions (Earth Explorer 8, EE-8) to be launched around 2019. The main goal of CarbonSat
is to deliver improved information on carbon dioxide (CO2) and methane (CH4) surface
sources (emissions) and sinks as needed for better climate prediction and other
applications such as greenhouse gas emission monitoring. For mission optimization and
data quality estimation a retrieval algorithm called BESD is under development at
University of Bremen, Germany. BESD is being optimized to accurately retrieve
column-averaged mole fractions of CO2 and CH4, XCO2 and XCH4, from the
CarbonSat spectral observations. This algorithm is being used to quantify random and
systematic XCO2 and XCH4 retrieval errors, e.g., due to thin cirrus, aerosols and
terrestrial vegetation chlorophyll fluorescence. The current status of this ongoing
activity will be presented focusing on XCO2 and XCH4 retrieval errors but also
on the expected quality of interesting by-products such as vegetation chlorophyll
fluorescence. |
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