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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

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© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
18 Apr 2017
Review status
This discussion paper is under review for the journal Atmospheric Measurement Techniques (AMT).
Characteristics of the Greenhouse Gas Concentration Derived from the Ground-based FTS Spectra at Anmyeondo, Korea
Young-Suk Oh1,4, Samuel Takele Kenea1, Tae-Young Goo1, Gawon Kim1, Kyu-Sun Chung4, David Griffith3, Voltaire Velacco3, Jae-Sang Rhee1, Me-Lim Oh2, and Haeyoung Lee2 1National Institute of Meteorological Sciences, 33, Seohobuk-ro, Seogwipo-si, Jeju-do, 63568, Korea
2Climate Change Monitoring Division, Korea Meteorological Administration, Seoul, Korea
3University of Wollongong, Wollongong, Australia
4Department of Electrical Eng. & Center for Edge Plasma Science, Hanyang University, Seoul, Korea
Abstract. Since the late 1990s, the meteorological observatory established in Anmyeondo (36.5382˚ N, 126.3311˚ E, and 30 m above mean sea level), has been monitoring several greenhouse gases such as CO2, CH4, N2O, CFCs, and SF6, as part of the Global Atmosphere Watch (GAW) Program. A high resolution ground-based (g-b) Fourier Transform Spectrometer (FTS, IFS-125HR model) was installed at such observation site in 2013, and has been fully operated within the frame work of the Total Carbon Column Observing Network (TCCON) since August, 2014. The solar spectra recorded by the g-b FTS are covered in the range between 3,800 and 16,000 cm−1 at the spectral resolution of 0.02 cm−1 during the measurement period between 2013 and 2016. In this work, the GGG2014 version of the TCCON standard retrieval algorithm was used to retrieve XCO2 concentrations from the FTS spectra. Two spectral bands (at 6220.0 and 6339.5 cm−1 center wavenumbers) were used to derive the XCO2 concentration within the spectral residual of +0.01 %. All sources of errors were thoroughly analyzed. In this paper, we introduced a new home made OASIS (Operational Automatic System for Intensity of Sunray) system to our g-b FTS instrument and that allows reducing the solar intensity variations (SIV) below 2 %. A comparison of the XCO2 concentration in g-b FTS and OCO-2 (Orbiting Carbon Observatory) satellite observations were presented only for the measurement period between 2014 and 2015. Nine coincident observations were selected on a daily mean basis. It was obtained that OCO-2 exhibited low bias with respect to the g-b FTS, which is about −0.065 ppm with the standard deviation of 1.66 ppm, and revealed a strong correlation (R = 0.85). Based on seasonal cycle comparisons, both instruments were generally agreed in capturing seasonal variations of the target species with its maximum and minimum levels in spring and late summer respectively. In the future, it is planned to exert further works in utilizing the FTS measurements for the evaluation of satellite observations such as Greenhouse Gases Observing Satellite (GOSAT) at observation sites. This is the first report of the g-b FTS observations of XCO2 species over the Anmyeondo station.

Citation: Oh, Y.-S., Kenea, S. T., Goo, T.-Y., Kim, G., Chung, K.-S., Griffith, D., Velacco, V., Rhee, J.-S., Oh, M.-L., and Lee, H.: Characteristics of the Greenhouse Gas Concentration Derived from the Ground-based FTS Spectra at Anmyeondo, Korea, Atmos. Meas. Tech. Discuss., doi:10.5194/amt-2017-88, in review, 2017.
Young-Suk Oh et al.
Young-Suk Oh et al.
Young-Suk Oh et al.


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Short summary
We focused on the measurements taken during 2014 and 2015. The other important feature is that the home made OASIS system is installed in our FTS instrument. The preliminary comparison results of XC2 between FTS and OCO-2 were presented over the Anmyeondo station. The mean absolute difference of XCO2 between FTS and OCO-2 was calculated on daily mean basis, and it was estimated to be −0.065 ppm, along with a standard deviation of 1.67 ppm with respect to the g-b FTS.
We focused on the measurements taken during 2014 and 2015. The other important feature is that...