The determination of regional CO2 mole fractions at the Longfengshan WMO/GAW station: A comparison of four data filtering approaches
The determination of regional CO2 mole fractions at the Longfengshan WMO/GAW station: A comparison of four data filtering approaches
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龙凤山 WMO/GAW 站区域 CO2 摩尔分数的确定：四种数据过滤方法的比较
DOI：
10.1016/j.atmosenv.2015.05.059
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发表时间：
2015-09
影响因子：
5
通讯作者：
Dajiang Yu
中科院分区：
文献类型：
--
作者：
Shuangxi Fang;Tian Luan;Gen Zhang;Yanling Wu;Dajiang Yu
采用合适的方法对大气CO2摩尔分数进行过滤，不仅对了解区域的长期趋势，而且对研究观测站附近的源/汇，特别是对观测记录经常受到当地源/汇影响的区域台站来说，都是必不可少的。利用世界气象组织/全球大气监测网（WMO/GAW）龙凤山区域站2009 - 2013年的大气CO2观测数据，采用4种数据筛选方法对数据进行筛选。这些方法包括甲烷示踪法（CT）、黑碳示踪法（BC）、基线信号稳健提取法（REBS）和气象法（MET）。所有四种方法都可以准确地捕获CO2季节性循环。然而，CT和REBS在季节性值估计上引起误差，通常在夏季。BC和MET能较好地将CO2摩尔分数划分为区域或局部事件，但BC对冬春季区域CO2摩尔分数的估计略低。一般而言，MET是识别当地源/汇影响的最合理方法，适合在其他区域台站应用。通过使用MET，计算出2009年至2013年LFS的区域CO2年增长率为3.0 ± 0.8 ppm yr−1（1−σ）。
Using an appropriate method to filter the atmospheric CO2mole 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 CO2records 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 CO2seasonal cycles. However, the CT and REBS induce errors on seasonal value estimations, typically in summer. The BC and MET are better to separate the CO2mole fractions into regional or local events, but the BC slightly underestimates the regional CO2values 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 CO2at LFS is calculated to be 3.0 ± 0.8 ppm yr−1(1−σ) from 2009 to 2013.
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影响因子：
6.3
作者：
M. Coen;E. Weingartner;M. Furger;S. Nyeki;A. Prévôt;M. Steinbacher;U. Baltensperger
通讯作者：
M. Coen;E. Weingartner;M. Furger;S. Nyeki;A. Prévôt;M. Steinbacher;U. Baltensperger
瓦里关大气CH4时间变化及潜在源区
DOI：
10.1007/s11430-012-4577-y
发表时间：
2013-02
期刊：
Science China Earth Sciences
影响因子：
--
作者：
ZHANG Fang;ZHOU LingXi
通讯作者：
ZHOU LingXi
影响因子：
5.2
作者：
Frédéric Chevallier;N. Deutscher;T. J. Conway;P. Ciais;L. Ciattaglia;S. Dohe;M. Fröhlich;Á. Gómez-Peláez;David W. T. Griffith;Frank Hase;László Haszpra;P. Krummel;E. Kyrö;C. Labuschagne;R. Langenfelds;T. Machida;F. Maignan;H. Matsueda;I. Morino;J. Notholt;M. Ramonet;Y. Sawa;Martina Schmidt;V. Sherlock;Paul Steele;Kim Strong;R. Sussmann;P. Wennberg;S. Wofsy;D. Worthy;D. Wunch;M. Zimnoch
通讯作者：
Frédéric Chevallier;N. Deutscher;T. J. Conway;P. Ciais;L. Ciattaglia;S. Dohe;M. Fröhlich;Á. Gómez-Peláez;David W. T. Griffith;Frank Hase;László Haszpra;P. Krummel;E. Kyrö;C. Labuschagne;R. Langenfelds;T. Machida;F. Maignan;H. Matsueda;I. Morino;J. Notholt;M. Ramonet;Y. Sawa;Martina Schmidt;V. Sherlock;Paul Steele;Kim Strong;R. Sussmann;P. Wennberg;S. Wofsy;D. Worthy;D. Wunch;M. Zimnoch
影响因子：
--
作者：
C. Zhao;C. Zhao;P. Tans
通讯作者：
C. Zhao;C. Zhao;P. Tans
影响因子：
--
作者：
D. Baumgardner;G. Raga;O. Peralta;I. Rosas;T. Castro;T. Kuhlbusch;A. John;A. Petzold
通讯作者：
D. Baumgardner;G. Raga;O. Peralta;I. Rosas;T. Castro;T. Kuhlbusch;A. John;A. Petzold