An inversion model based on GEOS-Chem for estimating global and China's terrestrial carbon fluxes in 2019  

作　　者：Chong-Yuan WU Xiao-Ye ZHANG Li-Feng GUO Jun-Ting ZHONG De-Ying WANG Chang-Hong MIAO Xiang GAO Xi-Liang ZHANG 

机构地区：[1]Monitoring and Assessment Center for GHGs and Carbon&Key Laboratory of Atmospheric Chemistry of China Meteorological Administration,Chinese Academy of Meteorological Sciences,Beijing 100081,China [2]Zhejiang Institute of Meteorological Science,Zhejiang Meteorological Bureau,Hangzhou 310017,China [3]Laboratory of Climate Change Mitigation and Carbon Neutrality,Henan University,Zhengzhou 450001,China [4]State Key Laboratory of Clean Energy Utilization,State Environmental Protection Center for Coal-Fired Air Pollution Control,Zhejiang University,Hangzhou 310027,China [5]Institute of Energy,Environment and Economy,Tsinghua University,Beijing 100084,China

出　　处：《Advances in Climate Change Research》2023年第1期49-61,共13页气候变化研究进展（英文版）

基　　金：financially supported by the General Project of Top-Design of Mlti-Scale Nature-Social Models,Data Support and Decision Support System for NSFC Carbon Neutrality Major Project and the Basic Scientific Research Fund of the Chinese Academy of Meteorological Sciences(2021Z014)。

摘　　要：The 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories added the method of assimilating atmospheric CO_(2) concentrations to invert carbon sources and sinks;however,many global carbon inversion models are not publicly available.In addition,our regional assimilation inversion system,CCMVS-R(China Carbon Monitoring,Verification and Supporting for Regional),needs a global carbon inversion model with higher assimilation efficiency to provide boundary conditions.Here,an inversion model based on the global atmospheric chemistry model GEOS-Chem and a more accurate and easier-to-implement ensemble square root Kalman filter(EnSRF)algorithm is constructed and used to infer global and China's carbon fluxes in 2019.Atmospheric CO_(2) concentrations from ObsPack sites and five additional CO_(2) observational sites from China's Greenhouse Gas Observation Network(CGHGNET)were used for data assimilation to improve the estimate.The inverted annual global terrestrial and oceanic carbon uptake is 2.12 and 2.53 Pg C per year,respectively,accounting for 21.1%and 25.1%of global fossil fuel CO_(2) emissions.The remaining 5.41 Pg C per year in the atmosphere is consistent with the global atmospheric CO_(2) growth rates of 5.44 Pg C per year reported by the National Oceanic and Atmospheric Administration(NOAA),showing that the inversion model can provide a reasonable estimate of global-scale natural carbon sinks.The inverted terrestrial carbon sink of China is 0.37 Pg C per year,accounting for approximately 13%of China's fossil CO_(2) emissions.

关 键 词：CO_(2) Data assimilation EnSRF GEOS-CHEM Terrestrial carbon fluxes 

分 类 号：P467[天文地球—大气科学及气象学]