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| Titel |
Improved carbon dioxide and methane retrieved from SCIAMACHY onboard ENVISAT: Validation and land-atmosphere related applications |
| VerfasserIn |
O. Schneising, M. Buchwitz, J. Heymann, M. Reuter, 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 |
250062897
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| Zusammenfassung |
| Carbon dioxide (CO2) and methane (CH4) are the two most important anthropogenic
greenhouse gases contributing to global climate change. Despite their importance, there are
still many gaps in our understanding of the sources and sinks of these greenhouse gases and
their biogeochemical feedbacks and response in a changing climate. Satellite measurements
combined with inverse modelling can significantly reduce surface flux uncertainties,
if the satellite data are accurate and precise enough. The significant reduction of
regional-scale flux uncertainties additionally requires high sensitivity to the lowest
atmospheric layers where the variability is largest. Sensitivity to all altitude levels,
including the boundary layer, can be achieved by using reflected solar radiation in
the near-infrared/shortwave-infrared (NIR/SWIR) spectral region. SCIAMACHY
onboard ENVISAT (launched in 2002) was the first and is now with TANSO onboard
GOSAT (launched in 2009) one of only two satellite instruments currently in space
yielding measurements of the relevant absorption bands of both gases in this spectral
range.
Improved global data sets of atmospheric carbon dioxide and methane column-averaged
mole fractions – which are the quantities needed for inverse modelling to get information on
the sources and sinks – retrieved from SCIAMACHY nadir observations are presented
upgrading pre-existing greenhouse gas information derived from European EO data. The
multi-year data sets are validated with ground-based Fourier Transform Spectrometer (FTS)
measurements and compared with model results at Total Carbon Column Observing
Network (TCCON) sites providing realistic error estimates of the satellite data which
is a prerequisite to assess the suitability to be used in inverse modelling. These
validation results will be briefly summarised. The subsequent discussion focuses
on land-atmosphere related applications including an analysis of the atmospheric
greenhouse gas variability on a spatial and temporal basis induced by the biogeosphere. |
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