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Characterizing curvilinear features using the localized normal-score ensemble Kalman filter

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Characterizing curvilinear features using the localized normal-score ensemble Kalman filter

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Zhou ., H.; Li ., L.; Gómez-Hernández, JJ. (2012). Characterizing curvilinear features using the localized normal-score ensemble Kalman filter. Abstract and Applied Analysis. 2012:1-18. https://doi.org/10.1155/2012/805707

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Título: Characterizing curvilinear features using the localized normal-score ensemble Kalman filter
Autor: Zhou ., Haiyan Li ., Liangping Gómez-Hernández, J. Jaime
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Fecha difusión:
Resumen:
The localized normal-score ensemble Kalman filter is shown to work for the characterization of non-multi-Gaussian distributed hydraulic conductivities by assimilating state observation data. The influence of type of flow ...[+]
Palabras clave: sequential data assimilation , flow , parameters , transient
Derechos de uso: Reconocimiento (by)
Fuente:
Abstract and Applied Analysis. (issn: 1085-3375 )
DOI: 10.1155/2012/805707
Editorial:
Hindawi Publishing Corporation
Versión del editor: http://dx.doi.org/10.1155/2012/805707
Código del Proyecto:
info:eu-repo/grantAgreement/MICINN//CGL2011-23295/ES/MODELACION ESTOCASTICA INVERSA FUERA DE LO NORMAL/
Agradecimientos:
The authors gratefully acknowledge the financial support by the Spanish Ministry of Science and Innovation through project CGL2011-23295. The authors want to thank the reviewer for the comments which help improving the ...[+]
Tipo: Artículo

References

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