… with the wellknown operational MODFLOW model code [McDonald and Harbaugh, 1984].
We … This paper aims at encouraging the use of Kalman filtering in geohydrologica! modeling. …

… where i refers to a stochastic realization (i = 1, …, P), M to a simulation model (in our case
a groundwater flow model), x is the state vector from the previous time step (superscript −) or …

… State space representation of a groundwater model The groundwater model used in this
study is a two-dimensional Darcy flow finite difference scheme representing the saturated zone. …

… Groundwater modelling calls for an effective and robust data integrating method to fill the
gap between the model and observation data. The ensemble Kalman filter (EnKF), a real-time …

… Once the model is calibrated, the measurement strategy Ck is the only variable for … Kalman
filtering combined with groundwater flow modeling in the analysis and design of groundwater …

… Kalman filter and ensemble smoother to update groundwater … Kalman filter in the inverse
identification of groundwater … ) used Kalman filters to identify the locations of groundwater …

… And therein lies part of the reason for the but modest interest there has been in applying
Kalman filtering to groundwater systems, as reviewed critically in this paper. Filtering theory may …

… groundwater flow toward a well pumping water from a randomly heterogeneous confined
aquifer … Section 2 casts the Kalman Filter updating algorithm for groundwater data assimilation …

… Kalman Filtering (EnKF) is promoted for the off-line calibration of transient groundwater
flow … experiments: (1) the prediction of groundwater flow in a different flow situation (without …

… filter length in groundwater modeling is still necessary as a result of the unique characteristics
of the aquifer … influence the EnKF used in groundwater modeling and how the localization …