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dc.contributor.author
Mammarella, Ivan
dc.contributor.author
Werle, Peter
dc.contributor.author
Pihlatie, Mari
dc.contributor.author
Eugster, Werner
dc.contributor.author
Haapanala, Sami
dc.contributor.author
Kiese, Ralf
dc.contributor.author
Markkanen, Tiina
dc.contributor.author
Rannik, Üllar
dc.contributor.author
Vesala, Timo
dc.date.accessioned
2018-11-01T15:41:03Z
dc.date.available
2017-06-09T00:12:13Z
dc.date.available
2018-11-01T15:41:03Z
dc.date.issued
2009
dc.identifier.issn
1810-6277
dc.identifier.issn
1810-6285
dc.identifier.other
10.5194/bgd-6-6949-2009
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/21455
dc.identifier.doi
10.3929/ethz-b-000021455
dc.description.abstract
Eddy covariance (EC) flux measurements of nitrous oxide obtained by using a 3-D sonic anemometer and a tunable diode laser gas analyzer for N2O were investigated. Two datasets (Sorø, Denmark and Kalevansuo, Finland) from different measurement campaigns including sub-canopy flux measurements of energy and carbon dioxide are5 discussed with a focus on selected quality control aspects and flux error analysis. Although fast response trace gas analyzers based on spectroscopic techniques are increasingly used in ecosystem research, their suitability for reliable estimates of eddy covariance fluxes is still limited, and some assumptions have to be made for filtering and processing data. The N2O concentration signal was frequently dominated by off set10 drifts (fringe effect), which can give an artificial extra contribution to the fluxes when the resulting concentration fluctuations are correlated with the fluctuations of the vertical wind velocity. Based on Allan variance analysis of the N2O signal, we found that a recursive running mean filter with a time constant equal to 50s was suitable to damp the influence of the periodic drift.15 Although the net N2O fluxes over the whole campaign periods were quite small at both sites (∼5μg Nm−2 h−1 for Kalevansuo and ∼10 μg Nm−2h−1 for Sorø), the calcu- lated sub-canopy EC fluxes were in good agreement with those estimated by automatic soil chambers. However EC N2O flux measurements show larger random uncertainty than the sensible heat fluxes, and classification according to statistical significance of 20 single flux values indicates that downward N2O fluxes have larger random error.
en_US
dc.language.iso
en
en_US
dc.publisher
Copernicus
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/
dc.title
A case study of eddy covariance flux of N2O measured within forest ecosystems: Quality control and flux error analysis
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 3.0 Unported
ethz.journal.title
Biogeosciences Discussions
ethz.journal.volume
6
en_US
ethz.journal.issue
4
en_US
ethz.journal.abbreviated
Biogeosci. discuss.
ethz.pages.start
6949
en_US
ethz.pages.end
6981
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.publication.place
Göttingen
en_US
ethz.publication.status
published
en_US
ethz.relation.isPreviousVersionOf
10.3929/ethz-b-000017045
ethz.date.deposited
2017-06-09T00:12:16Z
ethz.source
ECIT
ethz.identifier.importid
imp59364ccbb1bd634450
ethz.ecitpid
pub:34103
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-12T21:33:18Z
ethz.rosetta.lastUpdated
2018-11-01T15:41:47Z
ethz.rosetta.versionExported
true
ethz.COinS
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