Science & Technology Review
|
2015, 33(17): 63-68
• Exclusive •
Global and China-based regional near-surface distributions of CO2 concentrations based on GOSAT L4B data
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WANG Shupeng1, ZHANG Xingying1, WANG Weihe1, FANG Li2
Affiliations
1. National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China;
2. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
Published: 2015-09-13
doi: 10.3981/j.issn.1000-7857.2015.17.006
Outline
CO2 is the most important greenhouse gas and the main cause of the global warming. In this paper, GOSAT L4B data sets of CO2 concentrations near the ground are used for the analysis of the global and regional distributions of CO2. It is found that the ground CO2 concentration is significantly higher in the Northern Hemisphere than in the southern hemisphere. The yearly CO2 concentration growth rate is about 2 ppm. The global high-value areas are in places of large populations and developed economics in East Asia, Russia, Europe and the United States. In the Northern Hemisphere seasonal distributions of CO2 concentrations near the ground, the highest CO2 concentration appears in winter and the lowest in summer. CO2 concentration near ground in China has significantly high values in North China and the Yangtze River Delta region, with obvious seasonal variations, with the highest monthly average value of 396.5 ppm in April and the minimum value of 382.8 ppm in July.
CO2 distribution
/
GOSAT
/
greenhouse effect
王舒鹏, 张兴赢, 王维和, 方莉.
基于GOSATL4B数据的全球和中国区域近地面CO2含量变化分析.
科技导报,
2015
, 33
(17)
: 63
-68
.
DOI: 10.3981/j.issn.1000-7857.2015.17.006
WANG Shupeng, ZHANG Xingying, WANG Weihe, FANG Li.
Global and China-based regional near-surface distributions of CO2 concentrations based on GOSAT L4B data[J].
Science & Technology Review,
2015
, 33
(17)
: 63
-68
.
DOI: 10.3981/j.issn.1000-7857.2015.17.006
Year 2015 volume 33 Issue 17
PDF
547
175
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2015.17.006
- Receive Date:2015-06-18
- Online Date:2015-09-12
- Published:2015-09-13