An advanced carbon dioxide retrieval algorithm for satellite measurements and its application to GOSAT observations  

作　　者：Dongxu Yang Yi Liu Zhaonan Cai Jianbo Deng Jing Wang Xi Chen 

机构地区：[1]Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS) [2]Hunan Institute of Meteorological Sciences [3]University of Chinese Academy of Sciences

出　　处：《Science Bulletin》2015年第23期2063-2066,共4页科学通报（英文版）

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

摘　　要：An advanced carbon dioxide retrieval algo- rithm for satellite observations has been developed at the Institute of Atmospheric Physics, Chinese Academy of Sciences. The algorithm is tested using Greenhouse gases Observing SATellite （GOSAT） LIB data and validated using the Total Column Carbon Observing Network （TCCON） measurements. The retrieved XCO2 agrees well with TCCON measurements in a low bias of 0.15 ppmv and RMSE of 1.48 ppmv, and captured the seasonal vari- ation and increasing of XCO2 in Northern and Southern Hemisphere, respectively, as other measurements.An advanced carbon dioxide retrieval algorithm for satellite observations has been developed at the Institute of Atmospheric Physics, Chinese Academy of Sciences. The algorithm is tested using Greenhouse gases Observing SATellite(GOSAT) L1 B data and validated using the Total Column Carbon Observing Network(TCCON) measurements. The retrieved XCO2 agrees well with TCCON measurements in a low bias of 0.15 ppmv and RMSE of 1.48 ppmv, and captured the seasonal variation and increasing of XCO2 in Northern and Southern Hemisphere, respectively, as other measurements.

关 键 词：Retrieval algorithm · Satellite remotesensing· Carbon dioxide ·Carbon flux · GOSAT 

分 类 号：P412.27[天文地球—大气科学及气象学]