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Comparative Evaluation among Different Kriging Techniques applied to GOSAT CO_2 Map for North East Asia

  • Journal of Environmental Impact Assessment
  • Abbr : J EIA
  • 2011, 20(6), pp.879-890
  • Publisher : Korean Society Of Environmental Impact Assessment
  • Research Area : Engineering > Environmental Engineering

Choi, Jin Ho 1 Um, Jung Sup 1

1경북대학교

Accredited

ABSTRACT

The GOSAT (Greenhouse gases Observing SATellite) data provide new opportunities the most regionally complete and up-to-date assessment of CO_2. However, in practice, GOSAT records often suffer from missing data values mainly due to unfavorable meteorological condition in specific time periods of data acquisition. The aim of this research was to identify optimal spatial interpolation techniques to ensure the continuity of CO_2 from samples taken in the North East Asia. The accuracy among ordinary kriging (OK), universal kriging (UK) and simple kriging (SK) was compared based on the combined consideration of R^2 values, Root Mean Square Error (RMSE), Mean Error (ME) for variogram models. Cross validation for 1312random sampling points indicate that the (UK) kriging is the best geostatistical method for spatial predictions of CO_2 in the East Asia region. The results from this study can be useful for selecting optimal kriging algorithm to produce CO_2 map of various landscapes. Also, data users may benefit from a statistical approach that would allow them to better understand the uncertainty and limitations of the GOSAT sample data.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.