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Pattern Recognition in a Bimodal Aquifer Using the Normal-Score Ensemble Kalman Filter

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Pattern Recognition in a Bimodal Aquifer Using the Normal-Score Ensemble Kalman Filter

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Zhou, H.; Li, L.; Hendricks Franssen, H.; Gómez-Hernández, JJ. (2012). Pattern Recognition in a Bimodal Aquifer Using the Normal-Score Ensemble Kalman Filter. Mathematical Geosciences. 44(2):169-185. doi:10.1007/s11004-011-9372-3

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/46456

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Title: Pattern Recognition in a Bimodal Aquifer Using the Normal-Score Ensemble Kalman Filter
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Issued date:
Abstract:
The 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 ...[+]
Subjects: Groundwater modeling , Hard data , Large heterogeneity , Non-multi-Gaussian , Parameter identification , Uncertainty , Aquifers , Hydraulic conductivity , Hydrogeology , Identification (control systems) , Kalman filters , Pattern recognition
Copyrigths: Reserva de todos los derechos
Source:
Mathematical Geosciences. (issn: 1874-8961 )
DOI: 10.1007/s11004-011-9372-3
Publisher:
Springer Verlag (Germany)
Publisher version: http://dx.doi.org/10.1007/s11004-011-9372-3
Thanks:
The 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 ...[+]
Type: Artículo

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