However, due to sensor problems that happened in the end of the year 2005, the SCIAMACHY observing instrument became unstable since 2006 .The GOSAT, launched on January 23, 2009, is the world’s first spacecraft dedicated to observing greenhouse gases, including CO values shown over Sichuan Basin in southwest China, by combining the emission mechanism of rice planting process, the meteorology data, the surface emission data, and the regional atmosphere dynamic transportation.Therefore, studies of China’s regional CH emissions and its driving factors are of importance to understand the regional and global carbon cycle and the changing climate.Since 1983, WMO has established a global greenhouse gases reference network for continuous observation of atmospheric greenhouse gases, including CH had been launched, including Atmospheric Infrared Sounder (AIRS) on the EOS/Aqua platform , SCanning Imaging Absorption spectro Meter for Atmospheric CHartograph Y (SCIAMACHY) [9, 10], and the Greenhouse gases Observing SATellite (GOSAT) , and a lot of valuable observations have been obtained.  investigated a strong enhancement of CH concentration in the eastern and northern parts of China presents a double-peak variation, with the highest concentration in summer and the second highest in winter.  analyzed the relationship between rice paddy emission and XCH concentration in Southeast Asia using satellite data obtained by SCIAMACHY and found that there is a strong correlation between the two variables in Southeast Asia.  showed that paddy CH variation, such as the atmospheric dynamic transport and influence from external sources, are not well analyzed, and therefore the underlying mechanism affecting the spatial and temporal distribution of CH concentration by most previous studies are primarily obtained from SCIAMACHY [12, 13], which was operational from March 2002 to April 2012.Compared to early versions, these 02version XCH data were improved by identifying and correcting the error characteristics in retrieval, such as handling of aerosol scattering  which has a big impact on the GOSAT retrieval accuracy.
Also showed in (a) and (b) are the locations of Yanting (solid triangle) and Yueyang (solid circle).CH Level 2 dataset collected from January 2010 to December 2013, we aggregated all the data into 2.5° × 2.5° grids and calculated the averaged data within each grid to obtain the spatial distribution of XCH bottom-up calculated emission data from EDGAR as shown in Figure 2.From Figure 3, it can be seen that west China shows a much lower value than southeast region.concentration, Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model is used to simulate the atmospheric transport by successively setting Yanting and Yueyang as center point under the weather conditions of the year 2013.The HYSPLIT model is a complete system, developed jointly by NOAA and Australia’s Bureau of Meteorology, for computing simple air parcel trajectories to complex dispersion and deposition simulations, allowing for a variety of meteorological elements in the input file, varying physical processes, and different types of emission sources.