Abstract: Numerical deviation based optimization method for estimation of total column CO2 measured with ground based Fourier Transformation Spectormeter: FTS data is proposed. Through experiments with aircraft based sample return data and the ground based FTS data, it is found that the proposed method is superior to the conventional method of Levenberg Marquads based nonlinear least square method with analytic deviation of Jacobian and Hessean around the current solution. Moreover, the proposed method shows better accuracy and required computer resources in comparison to the internationally used method (TCCON method) for estimation of total column CO2 with FTS data. It is also found that total column CO2 depends on weather conditions, in particular, wind speed.

Kohei Arai , Takuya Fukamachi, Hiroshi Okumura, Shuji Kawakami and Hirofumi Ohyama, “Numerical Deviation Based Optimization Method for Estimation of Total Column CO2 Measured with Ground Based Fourier Transformation Sepectormeter: FTS Data” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 3(3), 2014. http://dx.doi.org/10.14569/IJARAI.2014.030301

@article{2014,
title = {Numerical Deviation Based Optimization Method for Estimation of Total Column CO2 Measured with Ground Based Fourier Transformation Sepectormeter: FTS Data},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2014.030301},
url = {http://dx.doi.org/10.14569/IJARAI.2014.030301},
year = {2014},
publisher = {The Science and Information Organization},
volume = {3},
number = {3},
author = {Kohei Arai and Takuya Fukamachi and Hiroshi Okumura and Shuji Kawakami and Hirofumi Ohyama}
}