Articles | Volume 8, issue 12
https://doi.org/10.5194/amt-8-5301-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-5301-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Comparison of the regional CO2 mole fraction filtering approaches at a WMO/GAW regional station in China
S. X. Fang
CORRESPONDING AUTHOR
Meteorological Observation Centre (MOC), China Meteorological Administration (CMA), Beijing, China
P. P. Tans
Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA), Boulder, CO, USA
M. Steinbacher
Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Air Pollution/Environmental Technology, Duebendorf, Switzerland
L. X. Zhou
Chinese Academy of Meteorological Sciences (CAMS), China Meteorological Administration (CMA), Beijing, China
T. Luan
Chinese Academy of Meteorological Sciences (CAMS), China Meteorological Administration (CMA), Beijing, China
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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.
The identification of atmospheric CO2 observation data which are minimally influenced by very...