A retrieval algorithm for TanSat XCO2 observation: Retrieval experiments using GOSAT data

被引：0
|
作者：
LIU Yi [1 ]
YANG DongXu [1 ,2 ]
CAI ZhaoNan [1 ]
机构：
[1] Key Laboratory of Middle Atmosphere and Global Environment Observation,Institute of Atmospheric Physics,Chinese Academy of Sciences
[2] University of Chinese Academy of Sciences
来源：
Science Bulletin | 2013年 / 13期
关键词：
retrieval algorithm; satellite remote sensing; XCO2; sources and sinks; TanSat;
D O I：
暂无
中图分类号：
X16 [环境气象学]; X830 [一般性问题];
学科分类号：
0706 ; 070602 ; 0804 ; 082803 ;
摘要：
This study developed a highly accurate retrieval algorithm for the column-averaged CO2 dry-air mixing ratio (XCO2) to be observed by TanSat, China’s carbon dioxide observation satellite that will be launched in 2015. The Greenhouse Gases Observing Satellite (GOSAT) L1B spectrum was applied in retrieval experiment, and the results were validated with ground-observed measurements from the Total Column Carbon Observing Network (TCCON). At mid-latitudes, most results fell in the 1% error region, which correspond to the performance of GOSAT algorithm. The results also showed seasonal variation in XCO2 in both hemispheres.
引用
收藏
页码：1520 / 1523
页数：4
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