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This model parameter is calibrated to fit the historic data with the underlying uncertainty, and is estimated to be 4.3 km3 per year.
The link command links model parameters together, so that the value of one model parameter is determined by the value of another model parameter.
This model parameter is found from an adaptation law that is introduced in this paper.
The statistical property of the uncertain model parameter is specified for each problem.
The result is a computational model without empirical data, where the only model parameter is the local size of the finite element mesh.
For the other two flow problems, the uncertain model parameter is assumed to be Gaussian random field and facies field, respectively.
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Estimation of the model parameters is described elsewhere [18].
Model parameters are calibrated using physiological data.
Model parameters are set to values used in Fig. 8A.
For each repetition, the model parameters were refitted to obtain the corresponding parameter distribution.
The PHE model parameters were determined using inverse FEA technique to curve-fit the experimental data.
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