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

T. Gardiner ; A. Forbes ; M. De Maziere ; C. Vigouroux ; E. Mahieu ; P. Demoulin ; V. Velazco ; J. Notholt ; T. Blumenstock ; F. Hase ; I. Kramer ; R. Sussmann ; V. Stremme ; Johan Mellqvist (Institutionen för radio- och rymdvetenskap, Optisk fjärranalys) ; Anders Strandberg (Institutionen för radio- och rymdvetenskap, Optisk fjärranalys) ; K. Ellingsen ; M. Gauss
Atmospheric Chemistry and Physics (1680-7316). Vol. 8 (2008), 22, p. 6719-6727.
[Artikel, refereegranskad vetenskaplig]

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.



Denna post skapades 2009-01-26. Senast ändrad 2014-09-02.
CPL Pubid: 88920

 

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Institutioner (Chalmers)

Institutionen för radio- och rymdvetenskap, Optisk fjärranalys (2005-2010)

Ämnesområden

Meteorologi och atmosfärforskning

Chalmers infrastruktur