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| Titel |
Robust extraction of baseline signal of atmospheric trace species using local regression |
| VerfasserIn |
A. F. Ruckstuhl, S. Henne, S. Reimann, M. Steinbacher, M. K. Vollmer, S. O'Doherty, B. Buchmann, C. Hueglin |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 5, no. 11 ; Nr. 5, no. 11 (2012-11-02), S.2613-2624 |
| Datensatznummer |
250003162
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| Publikation (Nr.) |
 copernicus.org/amt-5-2613-2012.pdf |
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| Zusammenfassung |
The identification of atmospheric trace species measurements that
are representative of well-mixed background air masses is required
for monitoring atmospheric composition change at background sites.
We present a statistical method based on robust local regression
that is well suited for the selection of background measurements and
the estimation of associated baseline curves. The bootstrap
technique is applied to calculate the uncertainty in the resulting
baseline curve. The non-parametric nature of the proposed approach
makes it a very flexible data filtering method. Application to
carbon monoxide (CO) measured from 1996 to 2009 at the high-alpine
site Jungfraujoch (Switzerland, 3580 m a.s.l.), and to measurements of
1,1-difluoroethane (HFC-152a) from Jungfraujoch (2000 to 2009) and
Mace Head (Ireland, 1995 to 2009) demonstrates the feasibility and
usefulness of the proposed approach.
The determined average annual change of CO at Jungfraujoch for the
1996 to 2009 period as estimated from filtered annual mean CO
concentrations is −2.2 ± 1.1 ppb yr−1. For comparison, the linear
trend of unfiltered CO measurements at Jungfraujoch for this time
period is −2.9 ± 1.3 ppb yr−1. |
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