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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Sensitivity Analysis of Fourier Transformation Spectrometer: FTS Against Observation Noise on Retrievals of Carbon Dioxide and Methane

Author 1: Kohei Arai Author 2: Hiroshi Okumura Author 3: Takuya Fukamachi Author 4: Shuji Kawakami Author 5: Hirofumi Ohyama
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 3, No. 11 · Published 2012

DOI: https://doi.org/10.14569/IJACSA.2012.031110

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Abstract

Sensitivity analysis of Fourier Transformation Spectrometer: FTS against observation noise on retrievals of carbon dioxide and methane is conducted. Through experiments with real observed data and additive noise, it is found that the allowable noise on FTS observation data is less than 2.1x10-5 if estimation accuracy of total column carbon dioxide and methane is better than 1(%).

Keywords

FTS carbon dioxide methane sensitivity analysis error analysis.

How to Cite this Article

Arai, K., Okumura, H., Fukamachi, T., Kawakami, S., & Ohyama, H. (2012). Sensitivity Analysis of Fourier Transformation Spectrometer: FTS Against Observation Noise on Retrievals of Carbon Dioxide and Methane. International Journal of Advanced Computer Science and Applications, 3(11). https://doi.org/10.14569/IJACSA.2012.031110

Arai, Kohei, et al.. "Sensitivity Analysis of Fourier Transformation Spectrometer: FTS Against Observation Noise on Retrievals of Carbon Dioxide and Methane." International Journal of Advanced Computer Science and Applications, vol. 3, no. 11, 2012, https://doi.org/10.14569/IJACSA.2012.031110.

@article{Arai2012,
  title     = {Sensitivity Analysis of Fourier Transformation Spectrometer: FTS Against Observation Noise on Retrievals of Carbon Dioxide and Methane},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {3},
  number    = {11},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai and Hiroshi Okumura and Takuya Fukamachi and Shuji Kawakami and Hirofumi Ohyama},
  doi       = {10.14569/IJACSA.2012.031110},
  url       = {https://doi.org/10.14569/IJACSA.2012.031110}
}

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