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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

validation with tccon fts measurements

Park Falls, USA

Bremen, Germany

Darwin, Australia




Lauder, New Zealand


Validation with TCCON FTS measurements
  • Restriction to a limited validation data set due to computational costs
  • Only 4 TCCON sites measured in the full period 2006-2010
comparison with fts carbontracker gosat
Comparison with FTS, CarbonTracker, GOSAT

Overall good agreement betweenSCIAMACHY, GOSAT, FTSand CarbonTracker

No statistical significantregional biases

Single measurementprecision ~2.5ppm

comparison with fts carbontracker gosat1
Comparison with FTS, CarbonTracker, GOSAT

Smoothed Results show:Good agreement of year-to-year increase and seasonal amplitude.(Data density allows smoothing only at Park Falls and Darwin)

global increase
Global increase
  • Computational costs are orders of magnitude lower
  • Processing of global data easily possible
  • A global dataset 2003-2009 is available
  • Similar annual global patterns
  • Continuous year-to-year increase of global XCO2
co 2 uptake by growing vegetation
CO2 uptake by growing vegetation

Mean wind direction



XCO2 gradient in wind directionapproximately proportionalto net surface flux Fnet





co 2 uptake by growing vegetation1
CO2 uptake by growing vegetation

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

http www esa ghg cci org

Intercomparison with other XCO2 algorithms

  • Within the GHG CCI several different XCO2 retrieval techniques are involved: BESD, WFMD, and the algorithms of SRON, University of Leicester, ACOS, and NIES
  • First inter-comparisons with FTS measurements show many similarities but also differences which have to be analyzed