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Intercomparison of eddy-covariance software for urban tall-tower sites

Lan, Changxing 1; Mauder, Matthias 2; Stagakis, Stavros; Loubet, Benjamin; D'Onofrio, Claudio; Metzger, Stefan; Durden, David; Herig-Coimbra, Pedro-Henrique
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)

Abstract:

Long-term tall-tower eddy-covariance (EC) measurements have been recently established in three European pilot cities as part of the ICOS-Cities project. We conducted a comparison of EC software to ensure a reliable generation of interoperable flux estimates, which is the prerequisite for avoiding methodological biases and improving the comparability of the results. We analyzed datasets covering 5 months collected from EC tall-tower installations located in urbanized areas of Munich, Zurich, and Paris. Fluxes of sensible heat, latent heat, and CO2 were calculated using three software packages (i.e., TK3, EddyPro, and eddy4R) to assess the uncertainty of flux estimations attributed to differences in implemented postprocessing schemes. A very good agreement on the mean values and standard deviations was found across all three sites, which can probably be attributed to a uniform instrumentation, data acquisition, and preprocessing. The overall comparison of final flux time series products showed a good but not yet perfect agreement among the three software packages. TK3 and EddyPro both calculated fluxes with low-frequency spectral correction, resulting in better agreement than between TK3 and the eddy4R workflow with disabled low-frequency spectral treatment. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000170712
Veröffentlicht am 21.05.2024
Originalveröffentlichung
DOI: 10.5194/amt-17-2649-2024
Scopus
Zitationen: 2
Web of Science
Zitationen: 1
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2024
Sprache Englisch
Identifikator ISSN: 1867-1381, 1867-8548
KITopen-ID: 1000170712
HGF-Programm 12.11.11 (POF IV, LK 01) Urban Climate and Air Quality
Erschienen in Atmospheric Measurement Techniques
Verlag Copernicus Publications
Band 17
Heft 9
Seiten 2649–2669
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 07.05.2024
Nachgewiesen in Dimensions
Web of Science
Scopus
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