000021353 001__ 21353
000021353 005__ 20200702121620.0
000021353 0247_ $$2DOI$$a10.1007/s11004-011-9372-3
000021353 0247_ $$2WOS$$aWOS:000300294500004
000021353 037__ $$aPreJuSER-21353
000021353 041__ $$aeng
000021353 082__ $$a550
000021353 084__ $$2WoS$$aGeosciences, Multidisciplinary
000021353 084__ $$2WoS$$aMathematics, Interdisciplinary Applications
000021353 1001_ $$0P:(DE-HGF)0$$aZhou, H.Y.$$b0
000021353 245__ $$aPattern Recognition in a Bimodal Aquifer Using the Normal-Score Ensemble Kalman Filter
000021353 260__ $$aHeidelberg [u.a.]$$bSpringer$$c2012
000021353 300__ $$a169 - 185
000021353 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
000021353 3367_ $$2DataCite$$aOutput Types/Journal article
000021353 3367_ $$00$$2EndNote$$aJournal Article
000021353 3367_ $$2BibTeX$$aARTICLE
000021353 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000021353 3367_ $$2DRIVER$$aarticle
000021353 440_0 $$025983$$aMATHEMATICAL GEOSCIENCES$$v44$$y2 SI
000021353 500__ $$3POF3_Assignment on 2016-02-29
000021353 500__ $$aThe authors gratefully acknowledge the financial support by the Spanish Ministry of Science and Innovation through project CGL2011-23295. The first author appreciates the financial aid from China Scholarship Council (CSC No. [2007]3020).
000021353 520__ $$aThe ensemble Kalman filter (EnKF) is now widely used in diverse disciplines to estimate model parameters and update model states by integrating observed data. The EnKF is known to perform optimally only for multi-Gaussian distributed states and parameters. A new approach, the normal-score EnKF (NS-EnKF), has been recently proposed to handle complex aquifers with non-Gaussian distributed parameters. In this work, we aim at investigating the capacity of the NS-EnKF to identify patterns in the spatial distribution of the model parameters (hydraulic conductivities) by assimilating dynamic observations in the absence of direct measurements of the parameters themselves. In some situations, hydraulic conductivity measurements (hard data) may not be available, which requires the estimation of conductivities from indirect observations, such as piezometric heads. We show how the NS-EnKF is capable of retrieving the bimodal nature of a synthetic aquifer solely from piezometric head data. By comparison with a more standard implementation of the EnKF, the NS-EnKF gives better results with regard to histogram preservation, uncertainty assessment, and transport predictions.
000021353 536__ $$0G:(DE-Juel1)FUEK407$$2G:(DE-HGF)$$aTerrestrische Umwelt$$cP24$$x0
000021353 588__ $$aDataset connected to Web of Science
000021353 65320 $$2Author$$aLarge heterogeneity
000021353 65320 $$2Author$$aParameter identification
000021353 65320 $$2Author$$aNon-multi-Gaussian
000021353 65320 $$2Author$$aUncertainty
000021353 65320 $$2Author$$aGroundwater modeling
000021353 65320 $$2Author$$aHard data
000021353 650_7 $$2WoSType$$aJ
000021353 7001_ $$0P:(DE-HGF)0$$aLi, L.P.$$b1
000021353 7001_ $$0P:(DE-Juel1)138662$$aHendricks-Franssen, H.J.$$b2$$uFZJ
000021353 7001_ $$0P:(DE-HGF)0$$aGomez-Hernandez, J.J.$$b3
000021353 773__ $$0PERI:(DE-600)2414234-7$$a10.1007/s11004-011-9372-3$$gVol. 44, p. 169 - 185$$p169 - 185$$q44<169 - 185$$tMathematical geosciences$$v44$$x1874-8961$$y2012
000021353 8567_ $$uhttp://dx.doi.org/10.1007/s11004-011-9372-3
000021353 909CO $$ooai:juser.fz-juelich.de:21353$$pVDB$$pVDB:Earth_Environment
000021353 915__ $$0StatID:(DE-HGF)0040$$2StatID$$aPeer review unknown
000021353 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR
000021353 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000021353 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000021353 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000021353 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000021353 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000021353 915__ $$0StatID:(DE-HGF)1040$$2StatID$$aDBCoverage$$bZoological Record
000021353 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences
000021353 9141_ $$y2012
000021353 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$$x0
000021353 9132_ $$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$$x0
000021353 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$gIBG$$kIBG-3$$lAgrosphäre$$x0
000021353 970__ $$aVDB:(DE-Juel1)137339
000021353 980__ $$aVDB
000021353 980__ $$aConvertedRecord
000021353 980__ $$ajournal
000021353 980__ $$aI:(DE-Juel1)IBG-3-20101118
000021353 980__ $$aUNRESTRICTED