Authors

Sergey Oshchepkov, National Institute for Environmental Studies,Japan
Andrey Bril, National Institute for Environmental Studies,Japan
Tatsuya Yokota, National Institute for Environmental Studies,Japan
Paul O. Wennberg, California Institute of Technology
Nicholas M. Deutscher, University of WollongongFollow
Debra Wunch, California Institute of Technology
Geoffrey C. Toon, California Institute of Technology
Yukio Yoshida, National Insitute for Environmental Studies, Japan
Christopher W. O'Dell, Colorado State University
David Crisp, California Institute of Technology
Charles E. Miller, California Institute of Technology
Christian Frankenberg, California Institute of Technology
Andre Butz, IMK-A-SF, Karlsruhe Institute of Technology
Ilse Aben, Netherlands Institute for Space ResearchFollow
Sandrine Guerlet, Netherlands Institute for Space Research
Otto Hasekamp, Netherlands Institute for Space Research
Hartmut Boesch, University of Leicester
Austin Cogan, University of Leicester
Robert Parker, University of Leicester
David Griffith, University of WollongongFollow
Ronald Macatangay, University of WollongongFollow
Justus Notholt, University of Bremen
Ralf Sussmann, IMK-IFU, Germany
Markus Rettinger, Karlsruhe Institute of Technology
Vanessa Sherlock, National Institute of Water and Atmospheric Research, New Zealand
John Robinson, National Institute of Water and Atmospheric Research, New Zealand
Esko Kyro, Finnish Meteorological Institute
Pauli Heikkinen, FMI-Arctic Research Center
Dietrich G. Feist, Max Planck Institute
Isamu Morino, National Institute for Environmental Studies
Nikolay Kadygrov, Laboratoire des Sciences du Climat et de L'Environnement
Dmitry Belikov, National Institute for Environmental Studies,Japan
Shamil Maksyutov, National Institute for Environmental Studies,Japan
Tsuneo Matsunaga, National Institute for Environmental Studies,Japan
Osamu Uchino, National Institute for Environmental Studies,Japan
Hiroshi Watanabe, National Institute for Environmental Studies,Japan

RIS ID

80748

Publication Details

Oshchepkov, S., Bril, A., Yokota, T., Wennberg, P. O., Deutscher, N. M., Wunch, D., Toon, G. C., Yoshida, Y., O'Dell, C. W., Crisp, D., Miller, C. E., Frankenberg, C., Butz, A., Aben, I., Guerlet, S., Hasekamp, O., Boesch, H., Cogan, A., Parker, R., Griffith, D., Macatangay, R., Notholt, J., Sussmann, R., Rettinger, M., Sherlock, V., Robinson, J., Kyro, E., Heikkinen, P., Feist, D. G., Morino, I., Kadygrov, N., Belikov, D., Maksyutov, S., Matsunaga, T., Uchino, O. & Watanabe, H. (2013). Effects of atmospheric light scattering on spectroscopic observations of greenhouse gases from space. Part 2: Algorithm intercomparison in the GOSAT data processing for CO2 retrievals over TCCON sites. Journal of Geophysical Research, 118 (3), 1493-1512.

Abstract

This report is the second in a series of companion papers describing the effects of atmospheric light scattering in observations of atmospheric carbon dioxide (CO2) by the Greenhouse gases Observing SATellite (GOSAT), in orbit since 23 January 2009. Here we summarize the retrievals from six previously published algorithms; retrieving column-averaged dry air mole fractions of CO2 (XCO2) during 22 months of operation of GOSAT from June 2009. First, we compare data products from each algorithm with ground-based remote sensing observations by Total Carbon Column Observing Network (TCCON). Our GOSAT-TCCON coincidence criteria select satellite observations within a 5° radius of 11 TCCON sites. We have compared the GOSAT-TCCON XCO2 regression slope, standard deviation, correlation and determination coefficients, and global and station-to-station biases. The best agreements with TCCON measurements were detected for NIES 02.xx and RemoTeC. Next, the impact of atmospheric light scattering on XCO2 retrievals was estimated for each data product using scan by scan retrievals of light path modification with the photon path length probability density function (PPDF) method. After a cloud pre-filtering test, approximately 25% of GOSAT soundings processed by NIES 02.xx, ACOS B2.9, and UoL-FP: 3G and 35% processed by RemoTeC were found to be contaminated by atmospheric light scattering. This study suggests that NIES 02.xx and ACOS B2.9 algorithms tend to overestimate aerosol amounts over bright surfaces, resulting in an underestimation of XCO2 for GOSAT observations. Cross-comparison between algorithms shows that ACOS B2.9 agrees best with NIES 02.xx and UoL-FP: 3G while RemoTeC XCO2 retrievals are in a best agreement with NIES PPDF-D.

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Link to publisher version (DOI)

http://dx.doi.org/10.1002/jgrd.50146