Abstract
Abstract. In this study, we establish a nested atmospheric inversion system with a focus on China using the Bayesian method. The global surface is separated into 43 regions based on the 22 TransCom large regions, with 13 small regions in China. Monthly CO2 concentrations from 130 GlobalView sites and 3 additional China sites are used in this system. The core component of this system is an atmospheric transport matrix, which is created using the TM5 model with a horizontal resolution of 3° × 2°. The net carbon fluxes over the 43 global land and ocean regions are inverted for the period from 2002 to 2008. The inverted global terrestrial carbon sinks mainly occur in boreal Asia, South and Southeast Asia, eastern America and southern South America. Most China areas appear to be carbon sinks, with strongest carbon sinks located in Northeast China. From 2002 to 2008, the global terrestrial carbon sink has an increasing trend, with the lowest carbon sink in 2002. The inter-annual variation (IAV) of the land sinks shows remarkable correlation with the El Niño Southern Oscillation (ENSO). The terrestrial carbon sinks in China also show an increasing trend. However, the IAV in China is not the same as that of the globe. There is relatively stronger land sink in 2002, lowest sink in 2006, and strongest sink in 2007 in China. This IAV could be reasonably explained with the IAVs of temperature and precipitation in China. The mean global and China terrestrial carbon sinks over the period 2002–2008 are −3.20 ± 0.63 and −0.28 ± 0.18 PgC yr−1, respectively. Considering the carbon emissions in the form of reactive biogenic volatile organic compounds (BVOCs) and from the import of wood and food, we further estimate that China's land sink is about −0.31 PgC yr−1.
Highlights
Carbon dioxide (CO2) and other greenhouse gases emitted from human activities OarecteheamnaiSn ccaiuesenocfeglobal warming (IPCC, 2007)
The main reason may be that the inter-annual variation (IAV) of global in 2003, while in this study it is slightly weaker than that carbon sinks are dominated by tropical land fluxes, which in 2003; in CT2010, the highest land sink occurs in 2006, are highly affected by El Nino Southern Oscillation (ENSO) (Sect. 3.2.2), but the impacts while in this study, the highest occurs in 2007
A The results after considering the carbon emissions in the form of reactive biogenic volatile organic compounds (BVOCs) and from the import of wood and food. b The carbon sinks of shrubland have been distributed to forest, grass and crop land according to the fractions of 36.8 %, 38.8 %, and 11.7 %, respectively, since the shrubland in this study is included in the forest, grass and crop regions
Summary
Carbon dioxide (CO2) and other greenhouse gases emitted from human activities OarecteheamnaiSn ccaiuesenocfeglobal warming (IPCC, 2007). The optimization of the prior fluxes is made according to the difference between observed and simulated CO2 concentrations With this method, many studies have been conducted to estimate the global terrestrial carbon fluxes (e.g., Enting and Mansbridge, 1989; Rayner et al, 1999a; Ciais, et al, 2000; Gurney et al, 2002; Law et al, 2003; Rodenbeck et al, 2005; Patra et al, 2005a; Rayner et al, 2008; Maki et al, 2010), and most of these studies focused on the spatial pattern of the carbon sources and sinks and the inter-annual variations. Much more detailed carbon fluxes of the areas of concern could be inverted compared to the global large region scheme, and the uncertainty caused by setting boundary conditions in regional inversion could be reduced Based on this method, Deng et al (2007) successfully inverted carbon sources and sinks for North America in a relatively high resolution (30 small regions).
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