globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2015.05.059
Scopus ID: 2-s2.0-84936156711
The determination of regional CO<inf>2</inf> mole fractions at the Longfengshan WMO/GAW station: A comparison of four data filtering approaches
Author: Fang S; -X; , Luan T; , Zhang G; , Wu Y; -L; , Yu D; -J
Source Publication: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
Publishing Year: 2015
Volume: 116
pages begin: 36
pages end: 43
Language: 英语
Keyword: Carbon dioxide ; Data selection ; Locally influenced ; Observation ; Regionally representative
Scopus Keyword: Carbon ; Carbon dioxide ; Methane ; Annual growth rate ; Data Selection ; Locally influenced ; Long-term trend ; Observation ; Regionally representative ; Value estimation ; World meteorological organizations ; Data reduction ; carbon dioxide ; fossil fuel ; atmospheric chemistry ; black carbon ; carbon cycle ; carbon dioxide ; comparative study ; data management ; environmental monitoring ; error analysis ; extraction method ; global perspective ; international organization ; methane ; regional pattern ; signal processing ; source-sink dynamics ; spatiotemporal analysis ; tracer ; Article ; atmosphere ; biomass ; black carbon tracer method ; comparative study ; filtration ; growth rate ; meteorology ; methane tracer method ; priority journal ; robust extraction of the baseline signal ; seasonal variation ; spring ; summer ; winter ; China
Subject of Scopus: Environmental Science: Water Science and Technology ; Earth and Planetary Sciences: Earth-Surface Processes ; Environmental Science: Environmental Chemistry
English Abstract: Using an appropriate method to filter the atmospheric CO2 mole fractions is not only essential to understand the long-term trend in regional areas but also to study the sources/sinks in the vicinity of the observatory, especially for regional stations where the observed records are frequently influenced by local sources/sinks. In this study, four data selection approaches are used to filter the observed atmospheric CO2 records from 2009 to 2013 at the Longfengshan (LFS) World Meteorological Organization/Global Atmosphere Watch (WMO/GAW) regional station located in northeastern China. The methods include the methane tracer method (CT), black carbon tracer method (BC), robust extraction of the baseline signal (REBS), and meteorological method (MET). All four methods can accurately capture CO2 seasonal cycles. However, the CT and REBS induce errors on seasonal value estimations, typically in summer. The BC and MET are better to separate the CO2 mole fractions into regional or local events, but the BC slightly underestimates the regional CO2 values during the winter-spring period. In general, the MET is the most reasonable to identify the influence of local sources/sinks and is suitable to be applied at other regional stations. By using the MET, the annual growth rate of regional CO2 at LFS is calculated to be 3.0±0.8ppmyr-1 (1-σ) from 2009 to 2013. © 2015 Elsevier Ltd.
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Document Type: 期刊论文
Appears in Collections:气候变化事实与影响

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Affiliation: Chinese Academy of Meteorological Sciences (CAMS), China Meteorological Administration (CMA), Beijing, China; Longfengshan Regional Background Station, China Meteorological Administration (CMA), Heilongjiang, China

Recommended Citation:
Fang S,-X,, Luan T,et al. The determination of regional CO<inf>2</inf> mole fractions at the Longfengshan WMO/GAW station: A comparison of four data filtering approaches[J]. Atmospheric Environment,2015-01-01,116
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