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Volume 14, issue 18
Atmos. Chem. Phys., 14, 10133-10144, 2014
https://doi.org/10.5194/acp-14-10133-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 14, 10133-10144, 2014
https://doi.org/10.5194/acp-14-10133-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 23 Sep 2014

Research article | 23 Sep 2014

Carbon balance of China constrained by CONTRAIL aircraft CO2 measurements

F. Jiang1,2, H. M. Wang1,2, J. M. Chen1,2, T. Machida3, L. X. Zhou4, W. M. Ju1,2, H. Matsueda5, and Y. Sawa5 F. Jiang et al.
  • 1Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, China
  • 2International Institute for Earth System Science, Nanjing University, Nanjing, China
  • 3National Institute for Environmental Studies, Tsukuba, Japan
  • 4Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing, China
  • 5Geochemical Research Department, Meteorological Research Institute, Tsukuba, Japan

Abstract. Terrestrial carbon dioxide (CO2) flux estimates in China using atmospheric inversion method are beset with considerable uncertainties because very few atmospheric CO2 concentration measurements are available. In order to improve these estimates, nested atmospheric CO2 inversion during 2002–2008 is performed in this study using passenger aircraft-based CO2 measurements over Eurasia from the Comprehensive Observation Network for Trace gases by Airliner (CONTRAIL) project. The inversion system includes 43 regions with a focus on China, and is based on the Bayesian synthesis approach and the TM5 transport model. The terrestrial ecosystem carbon flux modeled by the Boreal Ecosystems Productivity Simulator (BEPS) model and the ocean exchange simulated by the OPA-PISCES-T model are considered as the prior fluxes. The impacts of CONTRAIL CO2 data on inverted China terrestrial carbon fluxes are quantified, the improvement of the inverted fluxes after adding CONTRAIL CO2 data are rationed against climate factors and evaluated by comparing the simulated atmospheric CO2 concentrations with three independent surface CO2 measurements in China. Results show that with the addition of CONTRAIL CO2 data, the inverted carbon sink in China increases while those in South and Southeast Asia decrease. Meanwhile, the posterior uncertainties over these regions are all reduced (2–12%). CONTRAIL CO2 data also have a large effect on the inter-annual variation of carbon sinks in China, leading to a better correlation between the carbon sink and the annual mean climate factors. Evaluations against the CO2 measurements at three sites in China also show that the CONTRAIL CO2 measurements may have improved the inversion results.

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