Xu, TengGómez-Hernández, J. JaimeZhou, HaiyanLi, Liangping2014-09-182014-09-182013-040309-1708https://riunet.upv.es/handle/10251/39729The localized normal-score ensemble Kalman filter (NS-EnKF) coupled with covariance inflation is used to characterize the spatial variability of a channelized bimodal hydraulic conductivity field, for which the only existing prior information about conductivity is its univariate marginal distribution. We demonstrate that we can retrieve the main patterns of the reference field by assimilating a sufficient number of piezometric observations using the NS-EnKF. The possibility of characterizing the conductivity spatial variability using only piezometric head data shows the importance of accounting for these data in inverse modeling.Reserva de todos los derechosNormal score transformLocalizationCovariance inflationEnsemble Kalman filterFilter divergenceINGENIERIA HIDRAULICAArtículo10.1016/j.advwatres.2013.01.006Abierto