Trend analysis of greenhouse gases over Europe measured by a network of ground-based remote FTIR instruments

被引：85

作者：

Gardiner, T. ^{[1
]}

Forbes, A. ^{[1
]}

De Maziere, M. ^{[2
]}

Vigouroux, C. ^{[2
]}

Mahieu, E. ^{[3
]}

Demoulin, P. ^{[3
]}

Velazco, V. ^{[4
]}

Notholt, J. ^{[4
]}

Blumenstock, T. ^{[5
]}

Hase, F. ^{[5
]}

Kramer, I. ^{[5
]}

Sussmann, R. ^{[6
]}

Stremme, W. ^{[6
]}

Mellqvist, J. ^{[7
]}

Strandberg, A. ^{[7
]}

Ellingsen, K. ^{[8
]}

Gauss, M. ^{[8
]}

机构：

[1] Natl Phys Lab, Teddington TW11 0LW, Middx, England

[2] Belgisch Inst Ruimte Aeron, Brussels, Belgium

[3] Univ Liege, Inst Astrophys & Geophys, Liege, Belgium

[4] Univ Bremen, Dept Phys, Inst Environm Phys, D-2800 Bremen, Germany

[5] Forschungszentrum Karlsruhe, Inst Meteorol & Climate Res Atmospher Trace Const, D-76021 Karlsruhe, Germany

[6] Forschungszentrum Karlsruhe, Inst Meteorol & Climate Res, Garmish Partenkirchen, Germany

[7] Chalmers, S-41296 Gothenburg, Sweden

[8] Univ Oslo, Oslo, Norway

来源：

ATMOSPHERIC CHEMISTRY AND PHYSICS | 2008年 / 8卷 / 22期

关键词：

D O I：

10.5194/acp-8-6719-2008

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 [工学]; 0830 [环境科学与工程];

摘要：

This paper describes the statistical analysis of annual trends in long term datasets of greenhouse gas measurements taken over ten or more years. The analysis technique employs a bootstrap resampling method to determine both the long-term and intra-annual variability of the datasets, together with the uncertainties on the trend values. The method has been applied to data from a European network of ground-based solar FTIR instruments to determine the trends in the tropospheric, stratospheric and total columns of ozone, nitrous oxide, carbon monoxide, methane, ethane and HCFC-22. The suitability of the method has been demonstrated through statistical validation of the technique, and comparison with ground-based in-situ measurements and 3-D atmospheric models.

引用

页码：6719 / 6727

页数：9

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