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Paralellized ensemble Kalman filter for hydraulic conductivity characterization

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Paralellized ensemble Kalman filter for hydraulic conductivity characterization

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Xu, T.; Gómez-Hernández, JJ.; Li ., L.; Zhou ., H. (2013). Paralellized ensemble Kalman filter for hydraulic conductivity characterization. Computers and Geosciences. 52:42-49. doi:10.1016/j.cageo.2012.10.007

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/40393

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Title: Paralellized ensemble Kalman filter for hydraulic conductivity characterization
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Issued date:
Abstract:
[EN] The ensemble Kalman filter (EnKF) is nowadays recognized as an excellent inverse method for hydraulic conductivity characterization using transient piezometric head data. Its implementation is well suited for a parallel ...[+]
Subjects: Parallel EnKF , Cluster , Hydraulic conductivity , Parallel computing
Copyrigths: Reserva de todos los derechos
Source:
Computers and Geosciences. (issn: 0098-3004 )
DOI: 10.1016/j.cageo.2012.10.007
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.cageo.2012.10.007
Thanks:
The first author acknowledges the financial support from China Scholarship Council (CSC). Financial support to carry out this work was also received from the Spanish Ministry of Science and Innovation through project ...[+]
Type: Artículo

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