Retrieval of atmospheric CO 2 from satellite near-infrared nadir spectra in the frame of ESA’s climate change initiative M.Reuter , O.Schneising , M.Buchwitz , J.Heymann, H.Bovensmann, J.P.Burrows Institute of Environmental Physics, University of Bremen, Germany. EMS, Berlin, September 2011.
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Retrieval of atmospheric CO2 from satellite near-infrarednadir spectra in the frame of ESA’s climate change initiativeM.Reuter , O.Schneising , M.Buchwitz , J.Heymann, H.Bovensmann, J.P.BurrowsInstitute of Environmental Physics, University of Bremen, Germany
EMS, Berlin, September 2011
Overall good agreement betweenSCIAMACHY, GOSAT, FTSand CarbonTracker
No statistical significantregional biases
Single measurementprecision ~2.5ppm
Smoothed Results show:Good agreement of year-to-year increase and seasonal amplitude.(Data density allows smoothing only at Park Falls and Darwin)
Mean wind direction
XCO2 gradient in wind directionapproximately proportionalto net surface flux Fnet
Calculation of gradients aboveboreal forests (Canada+Russia):
Good agreement with CarbonTracker
(year-to-year progression and size)
Canada: larger neg. gradientssuggest stronger CO2 uptake
Russia: less strong gradientssuggest weaker CO2 uptake
Intercomparison with other XCO2 algorithms