Carbon balance of China constrained by CONTRAIL aircraft CO2measurements

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Abstract

Terrestrial carbon dioxide (CO2) flux estimates in China using atmospheric inversion method are beset with considerable uncertainties because very few atmospheric CO2concentration measurements are available. In order to improve these estimates, nested atmospheric CO2inversion during 2002-2008 is performed in this study using passenger aircraft-based CO2measurements 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 CO2data on inverted China terrestrial carbon fluxes are quantified, the improvement of the inverted fluxes after adding CONTRAIL CO2data are rationed against climate factors and evaluated by comparing the simulated atmospheric CO2concentrations with three independent surface CO2measurements in China. Results show that with the addition of CONTRAIL CO2data, 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 CO2data 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 CO2measurements at three sites in China also show that the CONTRAIL CO2measurements may have improved the inversion results.

Figures

  • Figure 2. An inversion scheme: 21 regions in Asia (13 regions in China) and 22 regions for the rest of the globe. Locations of 184 CO2 observational sites are also indicated, including 130 sites from GV data set (54 flask sites, seven continuous sites, five tower sites, six ship site , 58 aircraft sites) and 54 ites from CONTRAIL aircraft measurements (bold ones include three vertical sites at 2000–4000, 4000–6000, 6000–8000 m for ascending and descending flights data and thin ones include one site at 8000–12000 m for level flights data).
  • Figure 2.An inversion scheme: 21 regions in Asia (13 regions in China) and 22 regions for 651  
  • Figure 3. Locations of observations (black point: meteorological data locations; red triangle: CO2 observation sites in China, which are used for evaluation in this study).
  • Figure 4. Impact on inter-annual variations of inverted carbon flux and posterior uncertainty 664  
  • Figure 5. Inter-annual variations of the posterior fluxes and climate factors in (a) southern China and (b) northern China.
  • Figure 6. Inverted global carbon flux for (a) Case GV, unit: g C m−2 yr−1; (b) Case GVCT, unit: g C m−2 yr−1; and impact of CONTRAIL CO2 on (c) the inverted carbon fluxes, Case GVCT–Case GV, unit: g C m−2 yr−1 and (d) posterior uncertainties, (Case GV–Case GVCT)× 100 / Case GV, unit: %; averaged for 2006 to 2008.
  • Figure 7. Mean monthly fluxes in (a) China, (b) South Asia and (c) Southeast Asia during 2006–2008 (Case GV: ly constrained by GV CO2; Case GVCT: constrained by both GV CO2 and CONTRAIL CO2).
  • Figure 8. Contributions from emissions of different regions in July 2007 and the previous five months (1 Pg C month−1 region−1) to the CO2 concentration in July 2007 at 2000–4000 m over Taipei airport (TPE).

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APA

Jiang, F., Wang, H. M., Chen, J. M., Machida, T., Zhou, L. X., Ju, W. M., … Sawa, Y. (2014). Carbon balance of China constrained by CONTRAIL aircraft CO2measurements. Atmospheric Chemistry and Physics, 14(18), 10133–10144. https://doi.org/10.5194/acp-14-10133-2014

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