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《大气和海洋科学快报(英文版)》 2014-06
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Model-Simulated Atmospheric Carbon Dioxide: Comparisons with Satellite Retrievals and Ground-Based Observations

WANG Jiang-Nan;TIAN Xiang-Jun;FU Yu;International Center for Climate and Environment Sciences,Institute of Atmospheric Physics,Chinese Academy of Sciences;University of Chinese Academy of Sciences;Climate Change Research Center (CCRC),Chinese Academy of Sciences;  
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.
【Fund】: supported by the National High Technology Research and Development Program of China (Grant No. 2013AA122002);; the Knowledge Innovation Program of the Chinese Academy of Sciences (Grant No. KZCX2-EW-QN207);; the National Basic Research Program of China (Grant Nos. 2010CB428403 and 2009CB421407)
【CateGory Index】: P402;P412.27
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【Citations】
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1 ZENG ZhaoCheng 1,2 , LEI LiPing 1* , GUO LiJie 1,2 , ZHANG Li 1 & ZHANG Bing 1 1 Key Laboratory of Digital Earth Science, Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China; 2 University of Chinese Academy of Sciences, Beijing 100049, China;Incorporating temporal variability to improve geostatistical analysis of satellite-observed CO_2 in China[J];科学通报(英文版);2013-16
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1 BAI WenGuang1,ZHANG XingYing1,2* & ZHANG Peng1 1 Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,China Meteorological Administration(LRCVES/CMA),National Satellite Meteorological Center,China Meteorological Administration,Beijing 100081,China;2 State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China;Temporal and spatial distribution of tropospheric CO_2 over China based on satellite observations[J];科学通报(英文版);2010-31
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