000203255 001__ 203255
000203255 005__ 20210129220327.0
000203255 0247_ $$2doi$$a10.5194/hess-19-3405-2015
000203255 0247_ $$2ISSN$$a1027-5606
000203255 0247_ $$2ISSN$$a1607-7938
000203255 0247_ $$2Handle$$a2128/9043
000203255 0247_ $$2WOS$$aWOS:000360653600005
000203255 037__ $$aFZJ-2015-05236
000203255 041__ $$aEnglish
000203255 082__ $$a550
000203255 1001_ $$0P:(DE-HGF)0$$aHannes, M.$$b0$$eCorresponding author
000203255 245__ $$aA comprehensive filtering scheme for high-resolution estimation of the water balance components from high-precision lysimeters
000203255 260__ $$aKatlenburg-Lindau$$bEGU$$c2015
000203255 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1439794868_7260
000203255 3367_ $$2DataCite$$aOutput Types/Journal article
000203255 3367_ $$00$$2EndNote$$aJournal Article
000203255 3367_ $$2BibTeX$$aARTICLE
000203255 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000203255 3367_ $$2DRIVER$$aarticle
000203255 520__ $$aLarge weighing lysimeters are currently the most precise method to directly measure all components of the terrestrial water balance in parallel via the built-in weighing system. As lysimeters are exposed to several external forces such as management practices or wind influencing the weighing data, the calculated fluxes of precipitation and evapotranspiration can be altered considerably without having applied appropriate corrections to the raw data. Therefore, adequate filtering schemes for obtaining most accurate estimates of the water balance components are required. In this study, we use data from the TERENO (TERrestrial ENvironmental Observatories) SoilCan research site in Bad Lauchstädt to develop a comprehensive filtering procedure for high-precision lysimeter data, which is designed to deal with various kinds of possible errors starting from the elimination of large disturbances in the raw data resulting e.g., from management practices all the way to the reduction of noise caused e.g., by moderate wind. Furthermore, we analyze the influence of averaging times and thresholds required by some of the filtering steps on the calculated water balance and investigate the ability of two adaptive filtering methods (the adaptive window and adaptive threshold filter (AWAT filter; Peters et al., 2014), and a new synchro filter applicable to the data from a set of several lysimeters) to further reduce the filtering error. Finally, we take advantage of the data sets of all 18 lysimeters running in parallel at the Bad Lauchstädt site to evaluate the performance and accuracy of the proposed filtering scheme. For the tested time interval of 2 months, we show that the estimation of the water balance with high temporal resolution and good accuracy is possible. The filtering code can be downloaded from the journal website as Supplement to this publication.
000203255 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
000203255 588__ $$aDataset connected to CrossRef
000203255 7001_ $$0P:(DE-HGF)0$$aWollschläger, U.$$b1
000203255 7001_ $$0P:(DE-HGF)0$$aSchrader, F.$$b2
000203255 7001_ $$00000-0002-9543-1318$$aDurner, W.$$b3
000203255 7001_ $$0P:(DE-Juel1)145813$$aGebler, S.$$b4
000203255 7001_ $$0P:(DE-Juel1)129523$$aPütz, Thomas$$b5
000203255 7001_ $$0P:(DE-HGF)0$$aFank, J.$$b6
000203255 7001_ $$0P:(DE-HGF)0$$avon Unold, G.$$b7
000203255 7001_ $$0P:(DE-HGF)0$$aVogel, H.-J.$$b8
000203255 773__ $$0PERI:(DE-600)2100610-6$$a10.5194/hess-19-3405-2015$$gVol. 19, no. 8, p. 3405 - 3418$$n8$$p3405 - 3418$$tHydrology and earth system sciences$$v19$$x1607-7938$$y2015
000203255 8564_ $$uhttps://juser.fz-juelich.de/record/203255/files/hess-19-3405-2015.pdf$$yOpenAccess
000203255 8564_ $$uhttps://juser.fz-juelich.de/record/203255/files/hess-19-3405-2015.gif?subformat=icon$$xicon$$yOpenAccess
000203255 8564_ $$uhttps://juser.fz-juelich.de/record/203255/files/hess-19-3405-2015.jpg?subformat=icon-1440$$xicon-1440$$yOpenAccess
000203255 8564_ $$uhttps://juser.fz-juelich.de/record/203255/files/hess-19-3405-2015.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
000203255 8564_ $$uhttps://juser.fz-juelich.de/record/203255/files/hess-19-3405-2015.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
000203255 8564_ $$uhttps://juser.fz-juelich.de/record/203255/files/hess-19-3405-2015.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000203255 909CO $$ooai:juser.fz-juelich.de:203255$$pdnbdelivery$$pVDB$$pVDB:Earth_Environment$$pdriver$$popen_access$$popenaire
000203255 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bHYDROL EARTH SYST SC : 2013
000203255 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000203255 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ
000203255 915__ $$0LIC:(DE-HGF)CCBY3$$2HGFVOC$$aCreative Commons Attribution CC BY 3.0
000203255 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000203255 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000203255 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000203255 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences
000203255 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000203255 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000203255 9141_ $$y2015
000203255 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)145813$$aForschungszentrum Jülich GmbH$$b4$$kFZJ
000203255 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129523$$aForschungszentrum Jülich GmbH$$b5$$kFZJ
000203255 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$$vTerrestrial Systems: From Observation to Prediction$$x0
000203255 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0
000203255 980__ $$ajournal
000203255 980__ $$aVDB
000203255 980__ $$aUNRESTRICTED
000203255 980__ $$aI:(DE-Juel1)IBG-3-20101118
000203255 9801_ $$aFullTexts