Accuracy comparisons of AIRS, SCIAMACHY and GOSAT with ground-based data based on global CO2 concentration

Global warming has become one of the most important and far-reaching global environmental problems. In order to make reliable predictions of future climate, there has been a series of remote sensing detectors launched into the space. In this manuscript, characteristics of the present common observing platform and their product data are compared and analyzed. The results indicate that: GOSAT is inferior in systematic errors and provides limited of quantity of data. SCIAMACHY is systemically slightly higher than ground-based data and limited in coverage. CO₂ concentration retrieved from AIRS is in excellent agreement with the ground-based data. Most correlation coefficients are more than 0.9, which has shown that AIRS retrieved results have the ability to reflect real distribution and changes of CO₂ very well.