Atmospheric Carbon Dioxide Satellite Remote Sensing Retrieval Accuracy Inspection and Spatio-temporal Characteristics Analysis

  • 1. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China;
    2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China;
    3. The Center for National Spaceborne Demonstration, Beijing 100101, China

Received date: 2012-04-24

  Revised date: 2012-04-24

  Online published: 2012-04-24


Atmospheric concentration of carbon dioxide (CO2), which is one of the most important anthropogenic greenhouse gases, has increased significantly since the beginning of the industrial revolution. It is expected that further increase of CO2 will definitely result in a warmer climate with adverse consequences including rising sea levels and increasing extreme weather conditions. A reliable prediction requires an accurate understanding of the sources and sinks of the greenhouse gases. Compared to traditional methods based on ground-based observations, an approach that uses satellite remote sensing to detect atmospheric CO2 concentration has many other advantages such as stability, continuity, large-scale, as well as easily getting global spatial and temporal distribution of CO2. As the technology of satellite remote sensing is growing rapidly, a series of satellites, launched for detecting atmospheric CO2 concentration, including SCIAMACHY, GOSAT and AIRS, have been collecting a large amount of global CO2 concentration distribution data for many years. This paper gives analyses by comparing those satellite data among themselves in some parameter indexes and conducts validation by comparing those remote sensing data to the long-term global ground-based observation records. The results indicate that, among those three CO2 satellite remote sensing products, the SCIAMACHY data is systemically slightly higher than ground-based observations and limited in coverage, the GOSAT data is predominant in stability but inferior in systematic errors which is nearly 9ppmv on average lower than ground-based data, and the AIRS data, which is better than the aforementioned two satellites in both coverage and accuracy, whose monthly global coverage is up to 90%, the average error is less than 2ppmv(0.5%) from the ground-based observations and the correlation coefficient is greater than 0.9, can be able to better reflect the global distributions of atmospheric CO2 concentration. An investigation from satellite and ground-based observations shows that the global spatial distribution of CO2 concentration represent significant latitude distribution and land-sea distribution, and there is a significant seasonal variation in CO2 concentration that illustrates a peak most likely in April and a valley in August.

Cite this article

HE Qian, YU Tao, CHENG Tianhai, GU Xingfa, XIE Donghai, WU Yu . Atmospheric Carbon Dioxide Satellite Remote Sensing Retrieval Accuracy Inspection and Spatio-temporal Characteristics Analysis[J]. Journal of Geo-information Science, 2012 , 14(2) : 250 -257 . DOI: 10.3724/SP.J.1047.2012.00250


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