Zobrazeno 1 - 10
of 106
pro vyhledávání: '"RUIZ, ELÍAS"'
Autor:
Nin-Ruiz, Elias, Diaz-Rodriguez, Jairo
This paper proposes two practical implementations of Four-Dimensional Variational (4D-Var) Ensemble Kalman Filter (4D-EnKF) methods for non-linear data assimilation. Our formulations' main idea is to avoid the intrinsic need for adjoint models in the
Externí odkaz:
http://arxiv.org/abs/2305.02896
The Ensemble Kalman Filters (EnKF) employ a Monte-Carlo approach to represent covariance information, and are affected by sampling errors in operational settings where the number of model realizations is much smaller than the model state dimension. T
Externí odkaz:
http://arxiv.org/abs/2003.00354
Autor:
Falip, Mercè, López González, Francisco Javier, Martín-Herranz, Isabel, Merino-Bohórquez, Vicente, Montoya, Javier, Rey Gómez-Serranillos, Isabel, Rodriguez Uranga, Juan Jesús, Ruiz, Elías, Sancho-López, Aranzazu, Trillo Mata, Jose Luis, Antoni Vallès, Joan, Álvarez-Barón, Elena, Sabaniego, Joel, Subías-Labazuy, Silvia, Gil, Alicia
Publikováno v:
In Epilepsy & Behavior August 2023 145
Data assimilation is the process to fuse information from priors, observations of nature, and numerical models, in order to obtain best estimates of the parameters or state of a physical system of interest. Presence of large errors in some observatio
Externí odkaz:
http://arxiv.org/abs/1511.01593
Publikováno v:
In Journal of Computational and Applied Mathematics 1 March 2021 384
Autor:
Nino-Ruiz, Elias D., Sandu, Adrian
This paper develops efficient ensemble Kalman filter (EnKF) implementations based on shrinkage covariance estimation. The forecast ensemble members at each step are used to estimate the background error covariance matrix via the Rao-Blackwell Ledoit
Externí odkaz:
http://arxiv.org/abs/1502.00301
Autor:
Nino-Ruiz, Elias D.
Publikováno v:
In Applied Mathematics Letters June 2020 104
Publikováno v:
Statistics and Computing, ISSN:0960-3174, PP: 1-17, Feb 2014
We present a practical implementation of the ensemble Kalman (EnKF) filter based on an iterative Sherman-Morrison formula. The new direct method exploits the special structure of the ensemble-estimated error covariance matrices in order to efficientl
Externí odkaz:
http://arxiv.org/abs/1302.3876
Autor:
Nino-Ruiz, Elias D., Yang, Xin-She
Publikováno v:
In Applied Soft Computing Journal October 2019 83
Autor:
Plumed, Javier, Gimeno, Natalia, Barberá, María, Ruiz, Elías, Conesa, Llanos, Rojo-Bofill, Luis Miguel, Livianos, Lorenzo, Rojo, Luis
Publikováno v:
In Revista de psiquiatría y salud mental (English Edition) January-March 2019 12(1):17-27