24 September 2013 Interpolation of XCO2 retrieved from GOSAT in China using fixed rank kriging
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The Greenhouse Gases Observing Satellite (GOSAT) can provide high accuracy column-averaged dry air mole fractions of carbon dioxide (XCO2). However, the observations have large gaps due to the impact of the cloud and observational modes. Although kriging interpolation yields the best linear unbiased predictor, it would be computationally expensive for a large dataset. Fixed Rank Kriging (FRK) is based on the Spatial Random Effect (SRE) model and it assumes that the process of interest can be expressed as a linear combination of spatial basis functions, plus a fine-scale-variation component. The FRK predictors and standard errors can be computed rapidly. This paper analyzes the FRK prediction of GOSAT Level 2 XCO2 data over China and shows that the FRK prediction is consistent with other kriging methods (e.g., ordinary kriging). In addition, the result agrees well with the CO2 measurements from the stations at Mt. Waliguan and Shangdianzi.
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Cong Zhou, Cong Zhou, Runhe Shi, Runhe Shi, Wei Gao, Wei Gao, } "Interpolation of XCO2 retrieved from GOSAT in China using fixed rank kriging", Proc. SPIE 8869, Remote Sensing and Modeling of Ecosystems for Sustainability X, 88690L (24 September 2013); doi: 10.1117/12.2020946; https://doi.org/10.1117/12.2020946

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