Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals

Author:

He Wei12ORCID,Jiang Fei123ORCID,Ju Weimin12ORCID,Chevallier Frédéric4ORCID,Baker David F.5,Wang Jun12ORCID,Wu Mousong12ORCID,Johnson Matthew S.6ORCID,Philip Sajeev7ORCID,Wang Hengmao12ORCID,Bertolacci Michael8ORCID,Liu Zhiqiang9ORCID,Zeng Ning910ORCID,Chen Jing M.1112ORCID

Affiliation:

1. International Institute for Earth System Science Nanjing University Nanjing China

2. Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources School of Geography and Ocean Science Nanjing University Nanjing China

3. Frontiers Science Center for Critical Earth Material Cycling Nanjing University Nanjing China

4. Laboratoire des Sciences du Climat et de L’Environnement LSCE/IPSL CEA‐CNRS‐UVSQ Université Paris‐Saclay Gif‐sur‐Yvette France

5. Cooperative Institute for Research in the Atmosphere Colorado State University Fort Collins CO USA

6. Earth Science Division NASA Ames Research Center Moffett Field CA USA

7. Centre for Atmospheric Sciences Indian Institute of Technology Delhi New Delhi India

8. School of Mathematics and Applied Statistics University of Wollongong Wollongong NSW Australia

9. Laboratory of Numerical Modeling for Atmospheric Sciences & Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China

10. Earth System Science Interdisciplinary Center College Park MD USA

11. Department of Geography and Planning University of Toronto Toronto ON Canada

12. School of Geographical Sciences Fujian Normal University Fuzhou China

Abstract

AbstractThe magnitude and distribution of China's terrestrial carbon sink remain uncertain due to insufficient observational constraints; satellite column‐average dry‐air mole fraction carbon dioxide (XCO2) retrievals may fill some of this gap. Here, we estimate China's carbon sink using atmospheric inversions of the Orbiting Carbon Observatory 2 (OCO‐2) XCO2 retrievals within different platforms, including the Global Carbon Assimilation System (GCAS) v2, the Copernicus Atmosphere Monitoring Service, and the OCO‐2 Model Inter‐comparison Project (MIP). We find that they consistently place the largest net biome production (NBP) in the south on an annual basis compared to the northeast and other main agricultural areas during peak growing season, coinciding well with the distribution of forests and crops, respectively. Moreover, the mean seasonal cycle amplitude of NBP in OCO‐2 inversions is obviously larger than that of biosphere model simulations and slightly greater than surface CO2 inversions. More importantly, the mean seasonal cycle of the OCO‐2 inversions is well constrained in the temperate, tropical, and subtropical monsoon climate zones, with better inter‐model consistency at a sub‐regional scale compared to in situ inversions and biosphere model simulations. In addition, the OCO‐2 inversions estimate the mean annual NBP in China for 2015–2019 to be between 0.34 (GCASv2) and 0.47 ± 0.16 PgC/yr (median ± std; OCO‐2 v10 MIP), and indicate the impacts of climate extremes (e.g., the 2019 drought) on the interannual variations of NBP. Our results suggest that assimilating OCO‐2 XCO2 retrievals is crucial for improving our understanding of China's terrestrial carbon sink regime.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

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