A retrieval algorithm for TanSat XCO_2 observation: Retrieval experiments using GOSAT data  

作　　者：LIU Yi YANG DongXu CAI ZhaoNan 

机构地区：[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

出　　处：《Chinese Science Bulletin》2013年第13期1520-1523,共4页

基　　金：supported by the Strategic Priority Research Program-Climate Change:Carbon Budget and Relevant Issues (XDA05040200);the National High-tech R&D Program (2011AA12A104)

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.This study developed a highly accurate retrieval algorithm for the column-averaged CO2 dry-air mixing ratio （XCO2） to be ob- served 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 meas- urements 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 hemi- spheres.

关 键 词：检索算法 实验 观测卫星 二氧化碳 中纬度地区 SAT算法 空气混合 研究开发 

分 类 号：X16[环境科学与工程—环境科学] X830