Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-2026
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRuckstuhl, Andreas-
dc.contributor.authorHenne, Stephan-
dc.contributor.authorReimann, Stefan-
dc.contributor.authorSteinbacher, Martin-
dc.contributor.authorVollmer, Martin K.-
dc.contributor.authorO’Doherty, Simon-
dc.contributor.authorBuchmann, Brigitte-
dc.contributor.authorHueglin, Christoph-
dc.date.accessioned2018-06-25T14:24:05Z-
dc.date.available2018-06-25T14:24:05Z-
dc.date.issued2012-11-02-
dc.identifier.issn1867-1381de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/7269-
dc.description.abstractThe 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 more flexible than other commonly used statistical data filtering methods. Application to carbon monoxide (CO) measured from 1996 to 2009 at the high-alpine site Jungfraujoch (Switzerland, 3580m asl.), 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. For comparison, the linear trend of unfiltered CO measurements at Jungfraujoch for this time period is -2.9 1.3 ppb/yr.de_CH
dc.language.isoende_CH
dc.publisherCopernicusde_CH
dc.relation.ispartofAtmospheric Measurement Techniquesde_CH
dc.rightshttp://creativecommons.org/licenses/by/3.0/de_CH
dc.subjectRobust fittingde_CH
dc.subjectAir qualityde_CH
dc.subjectData analysisde_CH
dc.subject.ddc551: Geologie und Hydrologiede_CH
dc.titleRobust extraction of baseline signal of atmospheric trace species using local regressionde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
dc.identifier.doi10.21256/zhaw-2026-
dc.identifier.doi10.5194/amt-5-2613-2012de_CH
zhaw.funding.euNode_CH
zhaw.issue11de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end2624de_CH
zhaw.pages.start2613de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume5de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
Appears in collections:Publikationen School of Engineering

Files in This Item:
File Description SizeFormat 
2012_Ruckstuhl_Robust_extraction_of_baseline.pdf1.17 MBAdobe PDFThumbnail
View/Open
Show simple item record
Ruckstuhl, A., Henne, S., Reimann, S., Steinbacher, M., Vollmer, M. K., O’Doherty, S., Buchmann, B., & Hueglin, C. (2012). Robust extraction of baseline signal of atmospheric trace species using local regression. Atmospheric Measurement Techniques, 5(11), 2613–2624. https://doi.org/10.21256/zhaw-2026
Ruckstuhl, A. et al. (2012) ‘Robust extraction of baseline signal of atmospheric trace species using local regression’, Atmospheric Measurement Techniques, 5(11), pp. 2613–2624. Available at: https://doi.org/10.21256/zhaw-2026.
A. Ruckstuhl et al., “Robust extraction of baseline signal of atmospheric trace species using local regression,” Atmospheric Measurement Techniques, vol. 5, no. 11, pp. 2613–2624, Nov. 2012, doi: 10.21256/zhaw-2026.
RUCKSTUHL, Andreas, Stephan HENNE, Stefan REIMANN, Martin STEINBACHER, Martin K. VOLLMER, Simon O’DOHERTY, Brigitte BUCHMANN und Christoph HUEGLIN, 2012. Robust extraction of baseline signal of atmospheric trace species using local regression. Atmospheric Measurement Techniques. 2 November 2012. Bd. 5, Nr. 11, S. 2613–2624. DOI 10.21256/zhaw-2026
Ruckstuhl, Andreas, Stephan Henne, Stefan Reimann, Martin Steinbacher, Martin K. Vollmer, Simon O’Doherty, Brigitte Buchmann, and Christoph Hueglin. 2012. “Robust Extraction of Baseline Signal of Atmospheric Trace Species Using Local Regression.” Atmospheric Measurement Techniques 5 (11): 2613–24. https://doi.org/10.21256/zhaw-2026.
Ruckstuhl, Andreas, et al. “Robust Extraction of Baseline Signal of Atmospheric Trace Species Using Local Regression.” Atmospheric Measurement Techniques, vol. 5, no. 11, Nov. 2012, pp. 2613–24, https://doi.org/10.21256/zhaw-2026.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.