Model-Simulated Atmospheric Carbon Dioxide: Comparisons with Satellite Retrievals and Ground-Based Observations

被引:0
|
作者
WANG Jiang-Nan [1 ,2 ]
TIAN Xiang-Jun [1 ]
FU Yu [3 ]
机构
[1] International Center for Climate and Environment Sciences,Institute of Atmospheric Physics,Chinese Academy of Sciences
[2] University of Chinese Academy of Sciences
[3] Climate Change Research Center (CCRC),Chinese Academy of Sciences
基金
国家高技术研究发展计划(863计划);
关键词
GEOS-CHEM; GOSAT; TCCON; CO2; concentration; comparison;
D O I
暂无
中图分类号
P402 [大气化学]; P412.27 [卫星探测];
学科分类号
0706 ; 070601 ; 070602 ;
摘要
Atmospheric CO2 concentrations from January 2010 to December 2010 were simulated using the GEOS-Chem(Goddard Earth Observing System-Chemistry) model and the results were compared to satellite Gases Observing Satellite(GOSAT) and ground-based the Total Carbon Column Observing Network(TCCON) data. It was found that CO2 concentrations based on GOSAT satellite retrievals were generally higher than those simulated by GEOS-Chem. The differences over the land area in January and April ranged from 1 to 2 ppm, and there were major differences in June and August. At high latitudes in the Northern Hemisphere in June, as well as south of the Sahara, the difference was greater than 5 ppm. In the high latitudes of the Northern Hemisphere the model results were higher than the GOSAT retrievals, while in South America the satellite data were higher. The trend of the difference in the high latitudes of the Northern Hemisphere and the Saharan region in August was opposite to June. Maximum correlation coefficients were found in April, reaching 0.72, but were smaller in June and August. In January, the correlation coefficient was only 0.36. The comparisons between GEOS-Chem data and TCCON observations showed better results than the comparison between GEOS and GOSAT. The correlation coefficients ranged between 0.42(Darwin) and 0.92(Izana). Analysis of the results indicated that the inconsistency between satellite observations and model simulations depended on inversion errors caused by data inaccuracies of the model simulation’s inputs, as well as the mismatch of satellite retrieval model input parameters.
引用
收藏
页码:481 / 486
页数:6
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