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An Approach to Handling Non-Gaussianity of Parameters and State Variables in Ensemble Kalman Filtering

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An Approach to Handling Non-Gaussianity of Parameters and State Variables in Ensemble Kalman Filtering

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Zhou ., H.; Gómez-Hernández, JJ.; Hendricks Franssen, HJW.; Li, L. (2011). An Approach to Handling Non-Gaussianity of Parameters and State Variables in Ensemble Kalman Filtering. ADVANCES IN WATER RESOURCES. 34(7):844-864. doi:10.1016/j.advwatres.2011.04.014

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Title: An Approach to Handling Non-Gaussianity of Parameters and State Variables in Ensemble Kalman Filtering
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 a commonly used real-time data assimilation algorithm in various disciplines. Here, the EnKF is applied, in a hydrogeological context, to condition log-conductivity realizations ...[+]
Subjects: Data assimilation , Ensemble Kalman filter , Groundwater modeling , Non-Gaussian , Parameter identification , Uncertainty , Aquifers , Data processing , Gaussian distribution , Gaussian noise (electronic) , Groundwater flow , Groundwater resources , Kalman filters , Real variables , Standards , Vectors , Algorithm , Aquifer , Fluvial deposit , Gaussian method , Hydrogeology , Kalman filter , Numerical model , Real time
Copyrigths: Cerrado
Source:
ADVANCES IN WATER RESOURCES. (issn: 0309-1708 )
DOI: 10.1016/j.advwatres.2011.04.014
Publisher:
ELSEVIER SCI LTD
Publisher version: http://dx.doi.org/10.1016/j.advwatres.2011.04.014
Thanks:
The authors gratefully acknowledge the financial support by ENRESA (project 0079000029). The financial aid from the China Scholarship Council (CSC) to the first author is appreciated and extra travel grants from the Ministry ...[+]
Type: Artículo

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