Journal cover Journal topic
Atmospheric Chemistry and Physics An Interactive Open Access Journal of the European Geosciences Union

Journal metrics

  • IF value: 5.298 IF 5.298
  • IF 5-year<br/> value: 5.543 IF 5-year
  • SNIP value: 1.809 SNIP 1.809
  • IPP value: 5.253 IPP 5.253
  • SJR value: 3.830 SJR 3.830
  • h5-index value: 89 h5-index 89
Atmos. Chem. Phys., 10, 1671-1687, 2010
© Author(s) 2010. This work is distributed
under the Creative Commons Attribution 3.0 License.
Source-receptor relationships for airborne measurements of CO2, CO and O3 above Siberia: a cluster-based approach
J.-D. Paris1, A. Stohl2, P. Ciais1, P. Nédélec3, B. D. Belan4, M. Yu. Arshinov4, and M. Ramonet1
1Laboratoire des Sciences du Climat et de l'Environnement/IPSL, CEA-CNRS-UVSQ, UMR1572, Gif sur Yvette, France
2Norwegian Institute for Air Research (NILU), Kjeller, Norway
3Laboratoire d'Aérologie, Observatoire Midi Pyrénées, CNRS-UPS, Toulouse, France
4Zuev Institute of Atmospherics Optics, SB RAS, Tomsk, Russia

Abstract. We analysed results of three intensive aircraft campaigns above Siberia (April and September 2006, August 2007) with a total of ~70 h of continuous CO2, CO and O3 measurements. The flight route consists of consecutive ascents and descents between Novosibirsk (55° N, 82° E) and Yakutsk (62° N, 129° E). We performed retroplume calculations with the Lagrangian particle dispersion model FLEXPART for many short segments along the flight tracks. To reduce the extremely rich information on source regions provided by the model calculation into a small number of distinct cases, we performed a statistical clustering – to our knowledge for the first time – into potential source regions of the footprint emission sensitivities obtained from the model calculations. This technique not only worked well to separate source region influences but also resulted in clearly distinct tracer concentrations for the various clusters obtained. High CO and O3 concentrations were found associated with agricultural fire plumes originating from Kazakhstan in September 2006. A statistical analysis indicates that summer uptake of CO2 is largely explained (~50% of variance) by air mass exposure to uptake by Siberian and sub-arctic ecosystems. This resulted in an average 5 to 10 ppm difference with overlaying air masses. Stratosphere-troposphere exchange is found to strongly influence the observed O3 mixing ratios in spring, but not in summer. European emissions contributed to high O3 concentrations above Siberia in April 2006 and August 2007, while emissions from North Eastern China also contributed to higher O3 mixing ratios in summer, but tend to lower mixing ratios in spring, when the airmass aerosol burden is important. In the lower troposphere, large-scale deposition processes in the boreal and sub-arctic boundary layer is a large O3 sink, resulting in a ~20 ppb difference with overlaying air masses. Lagrangian footprint clustering is very promising and could also be advantageously applied to the interpretation of ground based measurements including calculation of tracers' sources and sinks.

Citation: Paris, J.-D., Stohl, A., Ciais, P., Nédélec, P., Belan, B. D., Arshinov, M. Yu., and Ramonet, M.: Source-receptor relationships for airborne measurements of CO2, CO and O3 above Siberia: a cluster-based approach, Atmos. Chem. Phys., 10, 1671-1687, doi:10.5194/acp-10-1671-2010, 2010.
Search ACP
Final Revised Paper
Discussion Paper