Regional scale variations of atmospheric CO2 and CH4 from satellite observation

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Ru, F.^1,2 ; Lei, L.^1 ; Bu, R.^3 ; Guan, X.^1,2 ; Qi, J.^4

Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing, China^1

Graduate University of Chinese Academy of Sciences, Beijing, China^2

Xian University of Science and Technology, Xian, China^3

China University of Geosciences, Beijing, China^4

关键词: Greenhouse gases observing satellites;    Regional scale;    Satellite observations;    Seasonal changes;    Seasonal peaks;    Spatio-temporal changes;    Urban agglomerations;    Yangtze river delta;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012022/pdf
DOI  :  10.1088/1755-1315/17/1/012022

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

To identify the sources, sinks and changes of atmospheric CO2and CH4, this study investigates the spatio-temporal changes of atmospheric CO2and CH4concentration on the regional scale by the satellite observations. In this paper, choosing the land region of China as the study area, we investigate the spatio-temporal changes of atmospheric CO2and CH4concentrations using the data of the CO2dry air mixing ratio (XCO2), and the CH4dry air mixing ratio (XCH4), retrieved by the Greenhouse Gases Observing Satellite (GOSAT) from Jan. 2010 to Dec. 2012. The results show that (1) both XCO2and XCH4show higher concentrations in southeastern regions than that in the northwestern, and tend to yearly increasing from 2010 to 2013; (2) XCO2shows obvious seasonal change with higher values in the spring than that in summer. The seasonal peak-to-peak amplitude is 8 ppm and the annual growth is about 2 ppm. XCH4, however, does not show a seasonal change; (3) With regard to different land-use backgrounds, XCO2shows larger concentrations over the areas of urban agglomeration than that over the grasslands and deserts, and XCH4shows lower concentrations over deserts than that over the Yangtze River Delta region and Sichuan Basin.