Trend analysis of greenhouse gases over Europe measured by a network of ground-based remote FTIR instruments
Artikel i vetenskaplig tidskrift, 2008

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.


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

Chalmers, Institutionen för radio- och rymdvetenskap, Optisk fjärranalys

Anders Strandberg

Chalmers, Institutionen för radio- och rymdvetenskap, Optisk fjärranalys

K. Ellingsen

M. Gauss

Atmospheric Chemistry and Physics

1680-7316 (ISSN) 1680-7324 (eISSN)

Vol. 8 22 6719-6727


Meteorologi och atmosfärforskning



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