Atmos. Chem. Phys. Discuss., 9, 27401-27464, 2009
www.atmos-chem-phys-discuss.net/9/27401/2009/
doi:10.5194/acpd-9-27401-2009
© Author(s) 2009. This work is distributed
under the Creative Commons Attribution 3.0 License.
Review Status
This discussion paper has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP.
Characterization of Tropospheric Emission Spectrometer (TES) CO2 for carbon cycle science
S. S. Kulawik1, D. B. A. Jones2, R. Nassar2,3, F. W. Irion1, J. R. Worden1, K. W. Bowman1, T. Machida4, H. Matsueda5, Y. Sawa4, S. C. Biraud6, M. Fischer7, and A. R. Jacobson8
1Jet Propulsion Laboratory, California Institute of Technology. 4800 Oak Grove Drive, Pasadena, CA, 91109, USA
2University of Toronto, Department of Physics, Toronto, Ontario, Canada
3University of Toronto, Department of Geography, Toronto, Ontario, Canada
4National Institute for Environmental studies, 16-2 Onogawa, Tsukuba-City, Ibaraki, 305-8506 Japan
5Meteorological Research Institute, 1-1 Nagamine, Tsukuba-city, Ibaraki 305-0052 Japan
6Lawrence Berkeley National Laboratory, Earth Sciences Division, Berkeley, CA, USA
7E.O. Lawrence Berkeley National Laboratory, Environmental Energy Technologies Division, Berkeley, CA, USA
8NOAA Earth System Research Lab, Global Monitoring Division, Boulder, Colorado, USA

Abstract. We present carbon dioxide (CO2) estimates from the Tropospheric Emission Spectrometer (TES) on the EOS-Aura satellite launched in 2004. For observations between 40° S and 45° N, we find about 1 degree of freedom with peak sensitivity at 511 hPa. The estimated error is ~10 ppm for a single target and about 1.3 ppm for monthly averages on spatial scales of 20°×30°. Monthly spatially-averaged TES results from 2005–2008 processed with a uniform initial guess and prior are compared to CONTRAIL aircraft data over the Pacific ocean, aircraft data at the Southern Great Plains (SGP) ARM site in the southern US, and the Mauna Loa and Samoa surface stations. Comparisons to Mauna Loa observatory show a correlation of 0.92, a standard deviation of 1.3 ppm, a predicted error of 1.2 ppm, and a ~2% low bias, which is subsequently corrected, and comparisons to SGP aircraft data over land show a correlation of 0.67 and a standard deviation of 2.3 ppm. TES data between 40° S and 45° N for 2006–2007 are compared to surface flask data, GLOBALVIEW, the Atmospheric Infrared Sounder (AIRS), and CarbonTracker. Comparison to GLOBALVIEW-CO2 ocean surface sites shows a correlation of 0.60 which drops when TES is offset in latitude, longitude, or time. At these same locations, TES shows a 0.62 and 0.67 correlation to CarbonTracker with TES observation operator at the surface and 5 km, respectively. We also conducted an observing system simulation experiment to assess the potential utility of the TES data for inverse modeling of CO2 fluxes. We find that if biases in the data and model are well characterized, the averaged data have the potential to provide sufficient information to significantly reduce uncertainty on annual estimates of regional CO2 sources and sinks. Averaged pseudo-data at 10°×10° reduced uncertainty in flux estimates by as much as 70% for some tropical regions.

Citation: Kulawik, S. S., Jones, D. B. A., Nassar, R., Irion, F. W., Worden, J. R., Bowman, K. W., Machida, T., Matsueda, H., Sawa, Y., Biraud, S. C., Fischer, M., and Jacobson, A. R.: Characterization of Tropospheric Emission Spectrometer (TES) CO2 for carbon cycle science, Atmos. Chem. Phys. Discuss., 9, 27401-27464, doi:10.5194/acpd-9-27401-2009, 2009.
 
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