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Estimation of the Error in Carbon Dioxide Column Abundances Retrieved from GOSAT Data

In: Coping with Uncertainty

Author

Listed:
  • Mitsuhiro Tomosada

    (The Institute of Statistical Mathematics)

  • Koji Kanefuji

    (The Institute of Statistical Mathematics)

  • Yukio Matsumoto

    (Association of International Research Initiatives for Environmental Studies)

  • Hiroe Tsubaki

    (The Institute of Statistical Mathematics)

  • Tatsuya Yokota

    (National Institute for Environmental Studies)

Abstract

In this chapter, the estimation of error in the method used to retrieve carbon dioxide (CO2) column abundances obtained from the Greenhouse Gases Observing Satellite (GOSAT) is presented. GOSAT will be the first satellite dedicated to primarily observe CO2 and methane (CH4), which are considered to be major greenhouse gases, from space. The column abundances of CO2 and CH4 can also be retrieved using IMG data and SCIAMACY data. The retrieved CO2 and CH4 column abundances can be evaluated using spectral fitting residuals. On the other hand, there are uncertainties in the retrieved column abundances due to the error in the input parameters, such as the temperature profile and the water vapor profile during spectral observation. The estimated error of the retrieved column abundances using IMG data and SCYAMACY data is not affected by the error in input parameters. In this study, the retrieval error due to input parameters using factorial experiments is described. Finally, some application results are given.

Suggested Citation

  • Mitsuhiro Tomosada & Koji Kanefuji & Yukio Matsumoto & Hiroe Tsubaki & Tatsuya Yokota, 2010. "Estimation of the Error in Carbon Dioxide Column Abundances Retrieved from GOSAT Data," Lecture Notes in Economics and Mathematical Systems, in: Kurt Marti & Yuri Ermoliev & Marek Makowski (ed.), Coping with Uncertainty, chapter 0, pages 259-277, Springer.
    • Handle: RePEc:spr:lnechp:978-3-642-03735-1_13
    DOI: 10.1007/978-3-642-03735-1_13
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