Reference : Ground-based CO observations at the Jungfraujoch: Comparison between FTIR and NDIR me...
Scientific congresses and symposiums : Paper published in a journal
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
http://hdl.handle.net/2268/16047
Ground-based CO observations at the Jungfraujoch: Comparison between FTIR and NDIR measurements
English
Dils, Bart [ > > ]
Mahieu, Emmanuel mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > Groupe infra-rouge de phys. atmosph. et solaire (GIRPAS) >]
Demoulin, Philippe [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > Groupe infra-rouge de phys. atmosph. et solaire (GIRPAS) >]
Steinbacher, Martin [ > > ]
Buchmann, Brigitte [ > > ]
De Mazière, Martine [ > > ]
2008
Geophysical Research Abstracts
European Geophysical Society
10
No
No
International
1029-7006
1607-7962
Katlenburg-Lindau
Germany
EGU General Assembly 2008
du 13 au 18 avril 2008
European Geosciences Union
Vienne
Autriche
[en] carbon monoxide ; atmospheric composition ; FTIR spectrometer
[fr] remote sensing
[en] Measurements of CO have been performed at the Swiss Alpine Jungfraujoch station (46.5º N, 8.0° E, 3580m a.s.l.) on a regular basis since the mid-1980’s, using Fourier Transform Infrared solar absorption spectrometry (FTIR), and since 1996 using an in situ Nondispersive Infrared technique (NDIR). While the in situ measurements detect local CO concentrations at the site, the FTIR technique provides integrated measurements along the line-of-sight. Nevertheless, the pressure broadening of the spectral absorption lines recorded at high resolution enables retrieving information on the vertical distribution of CO, mainly in the troposphere, including its concentration near the surface. Considering the inherent capabilities of the two independent measurement techniques, substantial differences between both data sets for surface level CO could potentially arise.
Here we present a comparison of both data sets for the 1997 -2004 time period. Both data sets have been analysed by using successive Kolmogorov-Zurbenko filters. It appears that the long-term trend over the given time period is significantly different for both datasets. Possible causes for this difference will be critically discussed.
Researchers ; Professionals
http://hdl.handle.net/2268/16047
http://direct.sref.org/1607-7962/gra/EGU2008-A-08687&y=113646

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