Global Terrestrial Ecosystem Carbon Flux Inferred from TanSat XCO 2 Retrievals

Author:

Wang Hengmao1,Jiang Fei12ORCID,Liu Yi3,Yang Dongxu3,Wu Mousong1,He Wei1ORCID,Wang Jun1ORCID,Wang Jing3,Ju Weimin1,Chen Jing M.14ORCID

Affiliation:

1. Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing 210023, China

2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China

3. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

4. Department of Geography, University of Toronto, Toronto, Ontario, Canada, M5S3G3

Abstract

TanSat is China’s first greenhouse gases observing satellite. In recent years, substantial progresses have been achieved on retrieving column-averaged CO 2 dry air mole fraction (XCO 2 ). However, relatively few attempts have been made to estimate terrestrial net ecosystem exchange (NEE) using TanSat XCO 2 retrievals. In this study, based on the GEOS-Chem 4D-Var data assimilation system, we infer the global NEE from April 2017 to March 2018 using TanSat XCO 2 . The inversion estimates global NEE at −3.46 PgC yr -1 , evidently higher than prior estimate and giving rise to an improved estimate of global atmospheric CO 2 growth rate. Regionally, our inversion greatly increases the carbon uptakes in northern mid-to-high latitudes and significantly enhances the carbon releases in tropical and southern lands, especially in Africa and India peninsula. The increase of posterior sinks in northern lands is mainly attributed to the decreased carbon release during the nongrowing season, and the decrease of carbon uptakes in tropical and southern lands basically occurs throughout the year. Evaluations against independent CO 2 observations and comparison with previous estimates indicate that although the land sinks in the northern middle latitudes and southern temperate regions are improved to a certain extent, they are obviously overestimated in northern high latitudes and underestimated in tropical lands (mainly northern Africa), respectively. These results suggest that TanSat XCO 2 retrievals may have systematic negative biases in northern high latitudes and large positive biases over northern Africa, and further efforts are required to remove bias in these regions for better estimates of global and regional NEE.

Funder

Chinese Academy of Sciences

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Engineering

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