Articles | Volume 20, issue 11
https://doi.org/10.5194/hess-20-4561-2016
https://doi.org/10.5194/hess-20-4561-2016
Research article
 | 
15 Nov 2016
Research article |  | 15 Nov 2016

On the efficiency of the hybrid and the exact second-order sampling formulations of the EnKF: a reality-inspired 3-D test case for estimating biodegradation rates of chlorinated hydrocarbons at the port of Rotterdam

Mohamad E. Gharamti, Johan Valstar, Gijs Janssen, Annemieke Marsman, and Ibrahim Hoteit

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Cited articles

Altaf, M., Gharamti, M., Heemink, A., and Hoteit, I.: A reduced adjoint approach to variational data assimilation, Comput. Method. Appl. M., 254, 1–13, https://doi.org/10.1016/j.cma.2012.10.003, 2013.
Annan, J., Hargreaves, J., Edwards, N., and Marsh, R.: Parameter estimation in an intermediate complexity earth system model using an ensemble Kalman filter, Ocean Model., 8, 135–154, 2005.
Appelo, C. and Postma, D.: Geochemistry Groundwater and Pollution. AA Balkema, Rotterdam, Brookfield, Tech. rep., 536 pp., https://doi.org/10.1017/s0016756800011523, 1994.
Bailey, R. T., Baù, D. A., and Gates, T. K.: Estimating spatially-variable rate constants of denitrification in irrigated agricultural groundwater systems using an Ensemble Smoother, J. Hydrol., 468, 188–202, 2012.
Bailey, R. T., Gates, T. K., and Halvorson, A. D.: Simulating variably-saturated reactive transport of selenium and nitrogen in agricultural groundwater systems, J. Contam. Hydrol., 149, 27–45, 2013.
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Short summary
The paper addresses the issue of sampling errors when using the ensemble Kalman filter, in particular its hybrid and second-order formulations. The presented work is aimed at estimating concentration and biodegradation rates of subsurface contaminants at the port of Rotterdam in the Netherlands. Overall, we found that accounting for both forecast and observation sampling errors in the joint data assimilation system helps recover more accurate state and parameter estimates.