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

Mitsuhiro Tomosada (), Koji Kanefuji (), Yukio Matsumoto (), Hiroe Tsubaki () and Tatsuya Yokota ()
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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

Chapter Chapter 13 in Coping with Uncertainty, 2010, pp 259-277 from Springer

Abstract: 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.

Keywords: Orthogonal Array; Solar Occultation; Retrieval Algorithm; Fourier Transform Spectrometer; Internal Error (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-642-03735-1_13

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DOI: 10.1007/978-3-642-03735-1_13

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