Articles | Volume 8, issue 12
https://doi.org/10.5194/amt-8-5301-2015
https://doi.org/10.5194/amt-8-5301-2015
Research article
 | 
18 Dec 2015
Research article |  | 18 Dec 2015

Comparison of the regional CO2 mole fraction filtering approaches at a WMO/GAW regional station in China

S. X. Fang, P. P. Tans, M. Steinbacher, L. X. Zhou, and T. Luan

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Cited articles

AGGI: The NOAA Annual Greenhouse Gas Index (AGGI), available at: http://esrl.noaa.gov/gmd/aggi/aggi.html (last access: 3 July 2015), 2014.
Artuso, F., Chamard, P., Piacentino, S., Sferlazzo, D. M., Silvestri, L. D., Sarra, A. D., Meloni, D., and Monteleone, F.: Influence of transport and trends in amtospheric CO2 at Lampedusa, Atmos. Environ., 43, 3044–3051, https://doi.org/10.1016/j.atmosenv.2009.03.027, 2009.
Baumgardner, D., Raga, G., Peralta, O., Rosas, I., Castro, T., Kuhlbusch, T., John, A., and Petzold, A.: Diagnosing black carbon trends in large urban areas using carbon monoxide measurements, J. Geophys. Res., 107, 8342, https://doi.org/10.1029/2001JD000626, 2002.
Brunke, E. G., Labuschagne, C., Parker, B., Scheel, H. E., and Whittlestone, S.: Baseline air mass selection at Cape Point, South Africa: application of 222Rn and other filter criteria to CO2, Atmos. Environ., 38, 5693–5702, https://doi.org/10.1016/j.atmosenv.2004.04.024, 2004.
Cape, J. N., Methven, J., and Hudson, L. E.: The use of trajectory cluster analysis to interpret trace gas measurements at Mace Head, Ireland, Atmos. Environ., 34, 3651–3663, https://doi.org/10.1016/S1352-2310(00)00098-4, 2000.
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Short summary
The identification of atmospheric CO2 observation data which are minimally influenced by very local emissions/removals is essential for trend analysis and for the estimation of regional sources and sinks. We compared four data filtering regimes based on the observation records at Lin'an station in China, and found that the use of meteorological parameters was the most favorable. This conclusion will aid regional data selection at the Lin'an station.