TY - GEN
T1 - A one-step-ahead smoothing-based joint ensemble kalman filter for state-parameter estimation of hydrological models
AU - Gharamti, Mohamad E.
AU - Ait-El-Fquih, Boujemaa
AU - Hoteit, Ibrahim
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - The ensemble Kalman filter (EnKF) recursively integrates field data into simulation models to obtain a better characterization of the model’s state and parameters. These are generally estimated following a state-parameters joint augmentation strategy. In this study, we introduce a new smoothing-based joint EnKF scheme, in which we introduce a one-step-ahead smoothing of the state before updating the parameters. Numerical experiments are performed with a two-dimensional synthetic subsurface contaminant transport model. The improved performance of the proposed joint EnKF scheme compared to the standard joint EnKF compensates for the modest increase in the computational cost.
AB - The ensemble Kalman filter (EnKF) recursively integrates field data into simulation models to obtain a better characterization of the model’s state and parameters. These are generally estimated following a state-parameters joint augmentation strategy. In this study, we introduce a new smoothing-based joint EnKF scheme, in which we introduce a one-step-ahead smoothing of the state before updating the parameters. Numerical experiments are performed with a two-dimensional synthetic subsurface contaminant transport model. The improved performance of the proposed joint EnKF scheme compared to the standard joint EnKF compensates for the modest increase in the computational cost.
UR - https://www.scopus.com/pages/publications/84951789631
U2 - 10.1007/978-3-319-25138-7_19
DO - 10.1007/978-3-319-25138-7_19
M3 - Conference contribution
AN - SCOPUS:84951789631
SN - 9783319251370
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 207
EP - 214
BT - Dynamic Data-Driven Environmental Systems Science - 1st International Conference, DyDESS 2014, Revised Selected Papers
A2 - Sandu, Adrian
A2 - Ravela, Sai
PB - Springer Verlag
T2 - 1st International Conference on Dynamic Data-Driven Environmental Systems Science, DyDESS 2014
Y2 - 5 November 2014 through 7 November 2014
ER -