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.
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
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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27 citations as recorded by crossref.
- Source Characteristics of Atmospheric CO2 and CH4 in a Northeastern Highland Area of South Korea H. Kim et al. 10.3390/atmos11050509
- Dramatic decline of observed atmospheric CO2 and CH4 during the COVID-19 lockdown over the Yangtze River Delta of China M. Liang et al. 10.1016/j.jes.2021.09.034
- A Sensitivity Study of a Bayesian Inversion Model Used to Estimate Emissions of Synthetic Greenhouse Gases at the European Scale S. Annadate et al. 10.3390/atmos15010051
- Atmospheric CO2 in the megacity Hangzhou, China: Urban-suburban differences, sources and impact factors Y. Chen et al. 10.1016/j.scitotenv.2024.171635
- Identification of spikes associated with local sources in continuous time series of atmospheric CO, CO<sub>2</sub> and CH<sub>4</sub> A. El Yazidi et al. 10.5194/amt-11-1599-2018
- Effect of land–sea air mass transport on spatiotemporal distributions of atmospheric CO2 and CH4 mixing ratios over the southern Yellow Sea J. Li et al. 10.5194/amt-16-4757-2023
- Characteristics of the methane (CH4) mole fraction in a typical city and suburban site in the Yangtze River Delta, China X. Qing et al. 10.1016/j.apr.2022.101498
- Temporal patterns and determinants of atmospheric methane in Suzhou, the Yangtze River Delta N. Guo et al. 10.1016/j.apr.2023.101830
- Adaptive selection of diurnal minimum variation: a statistical strategy to obtain representative atmospheric CO<sub>2</sub> data and its application to European elevated mountain stations Y. Yuan et al. 10.5194/amt-11-1501-2018
- Regional effect as a probe of atmospheric carbon dioxide reduction in southern China C. Zhang et al. 10.1016/j.jclepro.2022.130713
- Evolution of Atmospheric Carbon Dioxide and Methane Mole Fractions in the Yangtze River Delta, China K. Jiang et al. 10.3390/atmos14081295
- Study on CO data filtering approaches based on observations at two background stations in China S. Liu et al. 10.1016/j.scitotenv.2019.07.162
- Analysis of the carbon dioxide mole fraction variation and its transmission characteristics in Taiyuan F. ZHANG et al. 10.1080/16742834.2020.1737501
- Analysis of the temporal variability of CO<sub>2</sub>, CH<sub>4</sub> and CO concentrations at Lamto, West Africa T. Tiemoko et al. 10.1080/16000889.2020.1863707
- Variation of carbon dioxide mole fraction at a typical urban area in the Yangtze River Delta, China S. Fang et al. 10.1016/j.atmosres.2021.105884
- Long-term changes in CH4 emissions: Comparing ΔCH4/ΔCO2 ratios between observation and proved model in East Asia (2010–2020) S. Kenea et al. 10.1016/j.atmosenv.2022.119437
- Measurement report: Atmospheric CH4 at regional stations of the Korea Meteorological Administration–Global Atmosphere Watch Programme: measurement, characteristics, and long-term changes of its drivers H. Lee et al. 10.5194/acp-23-7141-2023
- Large Chinese land carbon sink estimated from atmospheric carbon dioxide data J. Wang et al. 10.1038/s41586-020-2849-9
- Statistical Analysis of the CO2 and CH4 Annual Cycle on the Northern Plateau of the Iberian Peninsula I. Pérez et al. 10.3390/atmos11070769
- The Influence of Instrumental Line Shape Degradation on Gas Retrievals and Observation of Greenhouse Gases in Maoming, China D. Liu et al. 10.3390/atmos12070863
- Comparison of atmospheric CO2 mole fractions and source–sink characteristics at four WMO/GAW stations in China S. Cheng et al. 10.1016/j.atmosenv.2018.03.010
- Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
- Atmospheric CO2 at Waliguan station in China: Transport climatology, temporal patterns and source-sink region representativeness S. Cheng et al. 10.1016/j.atmosenv.2017.03.055
- Influence of Meteorology and interrelationship with greenhouse gases (CO<sub>2</sub> and CH<sub>4</sub>) at a suburban site of India G. Sreenivas et al. 10.5194/acp-16-3953-2016
- Characteristics Variation of Atmospheric CO2 and CH4 in Yongxing Island, South China Sea H. Lv et al. 10.1007/s11802-024-5528-x
- Temporal patterns of CO 2 and CH 4 in a rural area in northern Spain described by a harmonic equation over 2010–2016 B. Fernández-Duque et al. 10.1016/j.scitotenv.2017.03.132
- Isotopic and Concentration Analyses of CO2 and CH4 in Association With the Eddy‐Covariance Based Measurements in a Tropical Forest of Northeast India A. Metya et al. 10.1029/2020EA001504
2 citations as recorded by crossref.
- Atmospheric CO2 and CO at Jingdezhen station in central China: Understanding the regional transport and combustion efficiency L. Xia et al. 10.1016/j.atmosenv.2019.117104
- Seasonal variations of atmospheric CH4 at Jingdezhen station in Central China: Understanding the regional transport and its correlation with CO2 and CO L. Xia et al. 10.1016/j.atmosres.2020.104982
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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...
