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| Titel |
Sensitivity of SCIAMACHY XCO2 to Aerosols and Cirrus Clouds |
| VerfasserIn |
Jens Heymann, Maximilian Reuter, Oliver Schneising, Michael Buchwitz, Heinrich Bovensmann, John P. Burrows |
| Konferenz |
EGU General Assembly 2010
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 12 (2010) |
| Datensatznummer |
250033270
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| Zusammenfassung |
| Carbon dioxide (CO2) is one of the most important greenhouse gases. Since pre-industrial
times the CO2 concentration has increased by more then 36%. The growth of CO2
concentration results in a global warming and thereby in rising sea levels and extrem weather
conditions. In this context, a good understanding of the sources and sinks of CO2 is a
pre-requisite for reliably predicting the future climate. Satellite instruments such as
SCIAMACHY onboard ENVISAT can add important missing global information on regional
CO2 sources and sinks as gound-based or aircraft observations are sparse. This
however requires a precision and accuracy of 1% or better. Especially biases, i.e.,
systematic errors, need to be avoided. Two potential error sources are aerosols and
cirrus clouds. Here we present first results from a detailed analysis of three years
of SCIAMACHY XCO2, i.e., of the column-averaged mixing ratio of CO2, with
respect to possible retrieval errors caused by aerosols and thin clouds. In a first step,
we have analyzed to what extent the differences between SCIAMACHY XCO2
and global model data are correlated with aerosol optical thickness data sets as
generated by the European GEMS project and using one year of CALIPSO cirrus
optical thickness. In a second step, we perform simulations to investigate if the
observed correlations can be reproduced using retrievals based on simulated radiances. |
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