JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Comparison of Atmospheric Carbon Dioxide Concentration Trend and Accuracy from GOSAT and AIRS data over the Korean Peninsula
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : Korean Journal of Remote Sensing
  • Volume 31, Issue 6,  2015, pp.549-560
  • Publisher : The Korean Society of Remote Sensing
  • DOI : 10.7780/kjrs.2015.31.6.5
 Title & Authors
Comparison of Atmospheric Carbon Dioxide Concentration Trend and Accuracy from GOSAT and AIRS data over the Korean Peninsula
Lee, Sanghee; Kim, Jhoon; Cho, Hi-Ku; Goo, Tae-Young; Ou, Mi-Lim; Lee, Jong-Ho; Yokota, Tatsuya;
  PDF(new window)
 Abstract
With the global scale impact of atmospheric in global warming and climate system, it is necessary to monitor the concentration continuously on a global scale, where satellite remote sensing has played a significant role recently. In this study, global monthly concentrations obtained by satellite remote sensing were compared with ground-based measurements at Anmyeon-do and Gosan Korean Global Atmosphere Watch Center. Atmospheric concentration has increased from 371.87 ppm in January 1999 to 405.50 ppm in December 2013 at Anmyeon-do station (KMA, 2013). Comparison of the continuous measurements by flask air sampling at Anmyeon-do shows the same trend and seasonal variations with those of global monthly mean dataset. Nevertheless, the trends of over Northeast Asia showed the higher than those of global and the trends also changes with different slope. products derived from Greenhouse Gases Observing Satellite (GOSAT) and Atmospheric Infrared Sounder (AIRS) were compared with ground-based measurement at Anmyeon-do. The monthly mean values of GOSAT and AIRS data are systemically lower than those obtained at Anmyeon-do, however, the seasonal cycle of satellite products present the similar trend with values of global and Anmyeon-do. The accuracy of products from GOSAT and AIRS were evaluated statistically for two years from January 2011 to December 2012. GOSAT showed good correlation with the correlation coefficient, RMSD and bias of 0.947, 5.610 and -5.280 to ground-based measurements respectively, while AIRS showed reasonable comparison with 0.737, 8.574 and -7.316 at Anmyeon-do station, respectively.
 Keywords
Carbon dioxide;Anmyeon-do;Gosan;GOSAT;AIRS;
 Language
Korean
 Cited by
 References
1.
Alexe, M., P. Bergamaschi, A. Segers, R. Detmers, A. Butz, O. Hasekamp, S. Guerlet, R. Parker, H. Boesch, and C. Frankenberg, 2015. Inverse modelling of CH 4 emissions for 2010-2011 using different satellite retrieval products from GOSAT and SCIAMACHY. Atmospheric Chemistry and Physics, 15: 113-133. crossref(new window)

2.
Baek, H.-J., C. Cho, W.-T. Kwon, S.-K. Kim, J.-Y. Cho, and Y. Kim, 2011. Development Strategy for New Climate Change Scenarios based on RCP. Climate Change Research 2: 55-68. crossref(new window)

3.
Bindoff, N.L., P.A. Stott, K.M. AchutaRao, M.R. Allen, N. Gillett, D. Gutzler, K. Hansingo, G. Hegerl, Y. Hu, S. Jain, I.I. Mokhov, J. Overland, J. Perlwitz, R. Sebbari, and X. Zhang, 2013. Detection and Attribution of Climate Change: from Global to Regional, in: Stocker, T.F., D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex, and P.M. Midgley, (Eds.), Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 867-952.

4.
Chahine, M., L. Chen, P. Dimotakis, X. Jiang, Q. Li, E.T. Olsen, T. Pagano, J. Randerson, and Y.L. Yung, 2008. Satellite remote sounding of midtropospheric $CO_{2}$. Geophysical Research Letters, 35.

5.
Choi, J.H., S.M. Joo, and J.S. Um, 2014. Cross-Correlation Analysis between GOSAT and $CO_{2}$ Concentration Observed by the KGAWC Station. Journal of Korean Society for Geospatial Information System, 22: 11-16. (In Korean with English abstrct).

6.
Conway, T.J. and P.P. Tans, 1999. Development of the CO2 latitude gradient in recent decades. Global Biogeochem. Cycles, 13, 821-826. crossref(new window)

7.
Dlugokencky, E., R. Myers, P. Lang, K. Masarie, A. Crotwell, K. Thoning, B. Hall, J. Elkins, and L. Steele, 2005. Conversion of NOAA atmospheric dry air CH4 mole fractions to a gravimetrically prepared standard scale. Journal of Geophysical Research: Atmospheres (1984-2012), 110(D18).

8.
Griggs, D.J. and M. Noguer, 2002. Climate change 2001: the scientific basis. Contribution of working group I to the third assessment report of the intergovernmental panel on climate change. Weather, 57: 267-269. crossref(new window)

9.
Houghton, J.T., 1996. Climate change 1995: Thescience of climate change: contribution ofworking group I to the second assessment report of the Intergovernmental Panel on ClimateChange. Cambridge University Press.

10.
IPCC, 2013. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.

11.
IPCC, A., 2007. Intergovernmental panel on climate change. IPCC Secretariat Geneva.

12.
Jin, F., J. Kim, and K.-R. Kim, 2010. Estimation of Potential Source Region in Northeast Asia through Continuous In-Situ Measurement of Atmospheric $CO_{2}$ at Gosan, Jeju Island, Korea. Terrestrial, Atmospheric and Oceanic sciences, 21(2): 313-323. crossref(new window)

13.
Keeling, C.D. and T.P. Whorf, 2005. Atmospheric $CO_{2}$ records from sites in the SIO air sampling network. Trends: a compendium of data on global change: 16-26.

14.
KMA, 2013. Report of Global Atmosphere Watch 2013.

15.
Kuze, A., H. Suto, M. Nakajima, and T. Hamazaki, 2009. Thermal and near infrared sensor for carbon observation Fourier-transform spectrometer on the Greenhouse Gases Observing Satellite for greenhouse gases monitoring. Applied optics, 48: 6716-6733. crossref(new window)

16.
Meinshausen, M., S.J. Smith, K. Calvin, J.S. Daniel, M. Kainuma, J. Lamarque, K. Matsumoto, S. Montzka, S. Raper, and K. Riahi, 2011. The RCP greenhouse gas concentrations and their extensions from 1765 to 2300. Climatic change, 109: 213-241. crossref(new window)

17.
Metz, B., 2001. Climate change 2001: mitigation: contribution of Working Group III to the third assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press.

18.
Miao, R., N. Lu, L. Yao, Y. Zhu, J. Wang, and J. Sun, 2013. Multi-year comparison of carbon dioxide from satellite data with ground-based FTS measurements (2003-2011). Remote Sensing, 5: 3431-3456. crossref(new window)

19.
Olsen, E.T., 2009. AIRS Version 5 Release Tropospheric $CO_{2}$ Products. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California.

20.
Shim, C., R. Nassar, and J. Kim, 2011. Comparison of model-simulated atmospheric carbon dioxide with GOSAT retrievals. Asian Journal of Atmospheric Environment, 5: 263-277. crossref(new window)

21.
Solar, S.I.M.S., 2014. GAW Report No. 212.

22.
Tsutsumi Y., K. Mori, T. Hirahara, M. Ikegami, and T. J. Conway, 2009. Technical Report of Global Analysis Method for Major Greenhouse Gases by the World Data Center for Greenhouse Gases, GAW Report No.184 GAW Report No.184.

23.
Wei, J., A. Savtchenko, B. Vollmer, T. Hearty, A. Albayrak, D. Crisp, and A. Eldering, 2014. Advances in Observations From AIRS and ACOS. Geoscience and Remote Sensing Letters, IEEE, 11: 891-895. crossref(new window)

24.
Yoshida, Y., N. Kikuchi, I. Morino, O. Uchino, S. Oshchepkov, A. Bril, T. Saeki, N. Schutgens, G. Toon, and D. Wunch, 2013. Improvement of the retrieval algorithm for GOSAT SWIR XCO2 and XCH4 and their validation using TCCON data. Atmospheric Measurement Technigues 61: 1533-1547.

25.
Yoshida, Y., Y. Ota, N. Eguchi, N. Kikuchi, K. Nobuta, H. Tran, I. Morino, and T. Yokota, 2011. Retrieval algorithm for $CO_{2}$ and CH 4 column abundances from short-wavelength infrared spectral observations by the Greenhouse Gases Observing Satellite. Atmospheric Measurement Techniques, 4: 717-734. crossref(new window)

26.
Zhang, L., H. Jiang, and X. Zhang, 2015. Comparison analysis of the global carbon dioxide concentration column derived from SCIAMACHY, AIRS, and GOSAT with surface station measurements. International Journal of Remote Sensing, 36: 1406-1423. crossref(new window)