000186437 001__ 186437
000186437 005__ 20220930130037.0
000186437 0247_ $$2doi$$a10.5194/bgd-11-11943-2014
000186437 0247_ $$2ISSN$$a1810-6277
000186437 0247_ $$2ISSN$$a1810-6285
000186437 0247_ $$2Handle$$a2128/8273
000186437 037__ $$aFZJ-2015-00513
000186437 082__ $$a570
000186437 1001_ $$0P:(DE-Juel1)145951$$aPost, H.$$b0$$eCorresponding Author
000186437 245__ $$aUncertainty analysis of eddy covariance CO$_{2}$ flux measurements for different EC tower distances using an extended two-tower approach
000186437 260__ $$aKatlenburg-Lindau [u.a.]$$bCopernicus$$c2014
000186437 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1447167221_30062
000186437 3367_ $$2DataCite$$aOutput Types/Journal article
000186437 3367_ $$00$$2EndNote$$aJournal Article
000186437 3367_ $$2BibTeX$$aARTICLE
000186437 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000186437 3367_ $$2DRIVER$$aarticle
000186437 520__ $$aThe use of eddy covariance CO2 flux measurements in data assimilation and other applications requires an estimate of the random uncertainty. In previous studies, the two-tower approach has yielded robust uncertainty estimates, but care must be taken to meet the often competing requirements of statistical independence (non-overlapping footprints) and ecosystem homogeneity when choosing an appropriate tower distance. The role of the tower distance was investigated with help of a roving station separated between 8 m and 34 km from a permanent EC grassland station. Random uncertainty was estimated for five separation distances with an extended two-tower approach which removed systematic differences of CO2 fluxes measured at two EC towers. This analysis was made for a dataset where (i) only similar weather conditions at the two sites were included and (ii) an unfiltered one. The extended approach, applied to weather-filtered data for separation distances of 95 m and 173 m gave uncertainty estimates in best correspondence with the independent reference method The introduced correction for systematic flux differences considerably reduced the overestimation of the two-tower based uncertainty of net CO2 flux measurements, e.g. caused by different environmental conditions at both EC towers. It is concluded that the extension of the two-tower approach can help to receive more reliable uncertainty estimates because systematic differences of measured CO2 fluxes which are not part of random error are filtered out.
000186437 536__ $$0G:(DE-HGF)POF2-246$$a246 - Modelling and Monitoring Terrestrial Systems: Methods and Technologies (POF2-246)$$cPOF2-246$$fPOF II$$x0
000186437 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x1
000186437 588__ $$aDataset connected to CrossRef, juser.fz-juelich.de
000186437 7001_ $$0P:(DE-Juel1)138662$$aHendricks-Franssen, Harrie-Jan$$b1
000186437 7001_ $$0P:(DE-Juel1)129461$$aGraf, Alexander$$b2$$ufzj
000186437 7001_ $$0P:(DE-Juel1)162358$$aSchmidt, M.$$b3
000186437 7001_ $$0P:(DE-Juel1)129549$$aVereecken, H.$$b4
000186437 773__ $$0PERI:(DE-600)2146550-2$$a10.5194/bgd-11-11943-2014$$gVol. 11, no. 8, p. 11943 - 11983$$n8$$p11943 - 11983$$tBiogeosciences discussions$$v11$$x1810-6285$$y2014
000186437 8564_ $$uhttps://juser.fz-juelich.de/record/186437/files/FZJ-2015-00513.pdf$$yOpenAccess
000186437 8564_ $$uhttps://juser.fz-juelich.de/record/186437/files/FZJ-2015-00513.jpg?subformat=icon-144$$xicon-144$$yOpenAccess
000186437 8564_ $$uhttps://juser.fz-juelich.de/record/186437/files/FZJ-2015-00513.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
000186437 8564_ $$uhttps://juser.fz-juelich.de/record/186437/files/FZJ-2015-00513.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
000186437 8767_ $$92014-10-08$$d2014-10-13$$eAPC$$jZahlung erfolgt$$pbg-2014-301
000186437 909CO $$ooai:juser.fz-juelich.de:186437$$popenCost$$pVDB$$pVDB:Earth_Environment$$pdriver$$pOpenAPC$$popen_access$$popenaire$$pdnbdelivery
000186437 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)145951$$aForschungszentrum Jülich GmbH$$b0$$kFZJ
000186437 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)138662$$aForschungszentrum Jülich GmbH$$b1$$kFZJ
000186437 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129461$$aForschungszentrum Jülich GmbH$$b2$$kFZJ
000186437 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)162358$$aForschungszentrum Jülich GmbH$$b3$$kFZJ
000186437 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129549$$aForschungszentrum Jülich GmbH$$b4$$kFZJ
000186437 9132_ $$0G:(DE-HGF)POF3-255$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$aDE-HGF$$bMarine, Küsten- und Polare Systeme$$lTerrestrische Umwelt$$vTerrestrial Systems: From Observation to Prediction$$x0
000186437 9131_ $$0G:(DE-HGF)POF2-246$$1G:(DE-HGF)POF2-240$$2G:(DE-HGF)POF2-200$$3G:(DE-HGF)POF2$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lTerrestrische Umwelt$$vModelling and Monitoring Terrestrial Systems: Methods and Technologies$$x0
000186437 9131_ $$0G:(DE-HGF)POF3-255$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lTerrestrische Umwelt$$vTerrestrial Systems: From Observation to Prediction$$x1
000186437 9141_ $$y2014
000186437 915__ $$0LIC:(DE-HGF)CCBY3$$2HGFVOC$$aCreative Commons Attribution CC BY 3.0
000186437 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000186437 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ
000186437 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000186437 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000186437 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000186437 920__ $$lyes
000186437 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0
000186437 9801_ $$aFullTexts
000186437 980__ $$ajournal
000186437 980__ $$aVDB
000186437 980__ $$aI:(DE-Juel1)IBG-3-20101118
000186437 980__ $$aUNRESTRICTED
000186437 980__ $$aAPC