000021361 001__ 21361
000021361 005__ 20200702121621.0
000021361 0247_ $$2DOI$$a10.5194/hess-16-573-2012
000021361 0247_ $$2WOS$$aWOS:000300882000023
000021361 0247_ $$2Handle$$a2128/7479
000021361 037__ $$aPreJuSER-21361
000021361 041__ $$aeng
000021361 082__ $$a550
000021361 084__ $$2WoS$$aGeosciences, Multidisciplinary
000021361 084__ $$2WoS$$aWater Resources
000021361 1001_ $$0P:(DE-HGF)0$$aLi, L.$$b0
000021361 245__ $$aGroundwater flow inverse modeling in non-MultiGaussian media: performance assessment of the normal-score Ensemble Kalman Filter
000021361 260__ $$aKatlenburg-Lindau$$bEGU$$c2012
000021361 300__ $$a573 - 590
000021361 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
000021361 3367_ $$2DataCite$$aOutput Types/Journal article
000021361 3367_ $$00$$2EndNote$$aJournal Article
000021361 3367_ $$2BibTeX$$aARTICLE
000021361 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000021361 3367_ $$2DRIVER$$aarticle
000021361 440_0 $$022262$$aHydrology and Earth System Sciences$$v16$$x1027-5606$$y2
000021361 500__ $$3POF3_Assignment on 2016-02-29
000021361 500__ $$aThe authors gratefully acknowledge the financial support by the Spanish Ministry of Science and Innovation through project CGL2011-23295. The two anonymous reviewers are gratefully acknowledged for their comments which helped improving the final version of the manuscript.
000021361 520__ $$aThe normal-score ensemble Kalman filter (NS-EnKF) is tested on a synthetic aquifer characterized by the presence of channels with a bimodal distribution of its hydraulic conductivities. This is a clear example of an aquifer that cannot be characterized by a multiGaussian distribution. Fourteen scenarios are analyzed which differ among them in one or various of the following aspects: the prior random function model, the boundary conditions of the flow problem, the number of piezometers used in the assimilation process, or the use of covariance localization in the implementation of the Kalman filter. The performance of the NS-EnKF is evaluated through the ensemble mean and variance maps, the connectivity patterns of the individual conductivity realizations and the degree of reproduction of the piezometric heads. The results show that (i) the localized NS-EnKF can characterize the non-multiGaussian underlying hydraulic distribution even when an erroneous prior random function model is used, (ii) localization plays an important role to prevent filter inbreeding and results in a better logconductivity characterization, and (iii) the NS-EnKF works equally well under very different flow configurations.
000021361 536__ $$0G:(DE-Juel1)FUEK407$$2G:(DE-HGF)$$aTerrestrische Umwelt$$cP24$$x0
000021361 588__ $$aDataset connected to Web of Science
000021361 650_7 $$2WoSType$$aJ
000021361 7001_ $$0P:(DE-HGF)0$$aZhou, H.$$b1
000021361 7001_ $$0P:(DE-Juel1)138662$$aHendricks-Franssen, H.J.$$b2$$uFZJ
000021361 7001_ $$0P:(DE-HGF)0$$aGomez-Hernandez, J.J.$$b3
000021361 773__ $$0PERI:(DE-600)2100610-6$$a10.5194/hess-16-573-2012$$gVol. 16, p. 573 - 590$$p573 - 590$$q16<573 - 590$$tHydrology and earth system sciences$$v16$$x1027-5606$$y2012
000021361 8567_ $$uhttp://dx.doi.org/10.5194/hess-16-573-2012
000021361 8564_ $$uhttps://juser.fz-juelich.de/record/21361/files/FZJ-21361.pdf$$yOpenAccess$$zPublished final document.
000021361 8564_ $$uhttps://juser.fz-juelich.de/record/21361/files/FZJ-21361.jpg?subformat=icon-1440$$xicon-1440$$yOpenAccess
000021361 8564_ $$uhttps://juser.fz-juelich.de/record/21361/files/FZJ-21361.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
000021361 8564_ $$uhttps://juser.fz-juelich.de/record/21361/files/FZJ-21361.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
000021361 909CO $$ooai:juser.fz-juelich.de:21361$$pVDB$$pVDB:Earth_Environment$$pdriver$$popen_access$$popenaire$$pdnbdelivery
000021361 915__ $$0LIC:(DE-HGF)CCBY3$$2HGFVOC$$aCreative Commons Attribution CC BY 3.0
000021361 915__ $$0StatID:(DE-HGF)0010$$2StatID$$aJCR/ISI refereed
000021361 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR
000021361 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000021361 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000021361 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000021361 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000021361 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ
000021361 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000021361 915__ $$0StatID:(DE-HGF)1040$$2StatID$$aDBCoverage$$bZoological Record
000021361 9141_ $$y2012
000021361 9131_ $$0G:(DE-Juel1)FUEK407$$1G:(DE-HGF)POF2-240$$2G:(DE-HGF)POF2-200$$aDE-HGF$$bErde und Umwelt$$kP24$$lTerrestrische Umwelt$$vTerrestrische Umwelt$$x0
000021361 9132_ $$0G:(DE-HGF)POF3-259H$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$aDE-HGF$$bMarine, Küsten- und Polare Systeme$$lTerrestrische Umwelt$$vAddenda$$x0
000021361 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$gIBG$$kIBG-3$$lAgrosphäre$$x0
000021361 970__ $$aVDB:(DE-Juel1)137347
000021361 980__ $$aVDB
000021361 980__ $$aConvertedRecord
000021361 980__ $$ajournal
000021361 980__ $$aI:(DE-Juel1)IBG-3-20101118
000021361 980__ $$aUNRESTRICTED
000021361 980__ $$aJUWEL
000021361 980__ $$aFullTexts
000021361 9801_ $$aFullTexts