Evaluation of Spatio-Temporal Variogram Models for Mapping Xco(2) Using Satellite Observations: A Case Study in China
文献类型：期刊论文
| 作者 | Guo, Lijie1; Lei, Liping1; Zeng, Zhao-Cheng1; Zou, Pengfei1; Liu, Da1; Zhang, Bing1 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
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| 出版日期 | 2015 |
| 卷号 | 8期号:1页码:550-559 |
| 关键词 | ACOS-GOSAT carbon dioxide mapping spatio-temporal kriging spatio-temporal variogram models |
| 通讯作者 | Lei, LP (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China. |
| 英文摘要 | Greenhouse Gases Observing Satellite (GOSAT), which measures column-averaged carbon dioxide dry air mole fractions (Xco(2)) from space, provides new data sources to improve our understanding of carbon cycle. The available GOSAT data, however, have many gaps and are irregularly positioned, which make it difficult to directly interpret their scientific significance without further data analysis. Spatio-temporal geostatistical prediction approach can be used to fill the gaps for global and regional Xco(2) mapping. It is important to choose a suitable spatio-temporal variogram model since modeling spatio-temporal correlation structure using variogram model is a critical step in the geostatistical prediction. In this study, three different flexible spatio-temporal variogram models, including the product-sum model, Cressie-Huang model, and Gneiting model, are used to model the spatio-temporal correlation structure of Xco(2) over China, using the Atmospheric CO2 Observations from Space retrievals of the GOSAT (ACOS-GOSAT) Xco(2) (v3.3) data products. The three models are compared and evaluated using the weighted mean square errors (WMSE) indicating the fitness between the empirical variogram surface and the theoretical variogram model, cross-validation for quantifying prediction accuracies, and the performance of the three models when used to fill the spatial gaps and generate Xco(2) maps in 3-day temporal interval. The results indicate that 1) the model fitness of the commonly used product-sum model is slightly better than Cressie-Huang model and Gneiting model as indicated from WMSE, and 2) all the three models present similar summary statistics in cross-validation, all with a significantly high correlation coefficient of 0.92, and about 83% of prediction error within 2 ppm and about 53% within 1 ppm, and (3) differences between the mapping results using the three models are generally less than 0.1 ppm, and no significant differences can be identified. As a conclusion from the above results, all the three variogram models can precisely catch the empirical characteristics of the spatio-temporal correlation structure of Xco2 over China, and the precision and effectiveness of predicting and mapping Xco(2) using the three models are almost the same. |
| 研究领域[WOS] | Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000349550400035 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38325]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Guo, Lijie 2.Lei, Liping 3.Zeng, Zhao-Cheng 4.Zou, Pengfei 5.Liu, Da 6.Zhang, Bing] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 7.[Guo, Lijie 8.Zou, Pengfei 9.Liu, Da] Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Guo, Lijie,Lei, Liping,Zeng, Zhao-Cheng,et al. Evaluation of Spatio-Temporal Variogram Models for Mapping Xco(2) Using Satellite Observations: A Case Study in China[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2015,8(1):550-559. |
| APA | Guo, Lijie,Lei, Liping,Zeng, Zhao-Cheng,Zou, Pengfei,Liu, Da,&Zhang, Bing.(2015).Evaluation of Spatio-Temporal Variogram Models for Mapping Xco(2) Using Satellite Observations: A Case Study in China.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,8(1),550-559. |
| MLA | Guo, Lijie,et al."Evaluation of Spatio-Temporal Variogram Models for Mapping Xco(2) Using Satellite Observations: A Case Study in China".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 8.1(2015):550-559. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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