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A New TanSat XCO_2 Global Product towards Climate Studies
Authors:Dongxu YANG  Yi LIU  Hartmut BOESCH  Lu YAO  Antonio DI NOIA  Zhaonan CAI  Naimeng LU  Daren LYU  Maohua WANG  Jing WANG  Zengshan YIN  Yuquan ZHENG
Institution:Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China;Shanghai Advanced Research Institute,Chinese Academy of Sciences,Shanghai 201210,China;Earth Observation Science,School of Physics and Astronomy,University of Leicester,Leicestershire LE1 7RH,UK;National Centre for Earth Observation,University of Leicester,Leicestershire LE1 7RH,UK;Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China;National Satellite Meteorological Center,China Meteorological Administration Beijing 100081,China;Shanghai Advanced Research Institute,Chinese Academy of Sciences,Shanghai 201210,China;Shanghai Engineering Center for Microsatellites,Shanghai 201210,China;Changchun Institute of Optics,Fine Mechanics and Physics,Changchun 130033,China
Abstract:The 1st Chinese carbon dioxide(CO_2) monitoring satellite mission, TanSat, was launched in 2016. The 1st TanSat global map of CO_2 dry-air mixing ratio(XCO_2) measurements over land was released as version 1 data product with an accuracy of 2.11 ppmv(parts per million by volume). In this paper, we introduce a new(version 2) TanSat global XCO_2 product that is approached by the Institute of Atmospheric Physics Carbon dioxide retrieval Algorithm for Satellite remote sensing(IAPCAS), and the European Space Agency(ESA) Climate Change Initiative plus(CCI+) TanSat XCO_2 product by University of Leicester Full Physics(UoL-FP) retrieval algorithm. The correction of the measurement spectrum improves the accuracy(-0.08 ppmv) and precision(1.47 ppmv) of the new retrieval, which provides opportunity for further application in global carbon flux studies in the future. Inter-comparison between the two retrievals indicates a good agreement, with a standard deviation of 1.28 ppmv and a bias of -0.35 ppmv.
Keywords:TanSat  CO2  remote sensing  carbon flux  climate change
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