PEST - Model-Independent Parameter Estimation and Uncertainty Analysis

Some References

Christensen, S. and Doherty, J., 2008. Predictive error dependencies when using pilot points and singular value decomposition in groundwater model calibration. Advances in Water Resources. 31, 674-700.

Dausman, A.M, Doherty, J., Langevin, C.D. and Dixon, J., 2010. Hypothesis testing of buoyant plume migration using a highly parameterized variable-density groundwater model. Hydrogeology Journal. DOI 10.1007/s10040-009-0511-6.

Doherty, J., 2003. Groundwater model calibration using pilot points and regularisation. Ground Water. 41 (2): 170-177.

Doherty, J. and Hunt, R.J., 2009. Two easily calculated statistics for evaluating parameter identifiability and error reduction. Journal of Hydrology. 366, 119-127.

Doherty, J., and Hunt, R.J., 2010. Response to comment on “Two statistics for evaluating parameter identifiability and error reduction”. Journal of Hydrology. 380, 489-496.

Doherty, J. and Johnston, J.M., 2003.   Methodologies for calibration and predictive analysis of a watershed model. Journal of the American Water Resources Association. 39(2):251-265.

Doherty, J. and Skahill, B., 2006. An advanced regularization methodology for use in watershed model calibration. Journal of Hydrology. 327 (3-4), 564-577.

Doherty, J., and Welter, D., 2010. A short exploration of structural noise. Water Resour. Res. In Press.#id2009WRR008377.

Gallagher, M.R. and Doherty, J., 2006. Parameter estimation and uncertainty analysis for a watershed model. Environmental Modelling and Software. 22, 1000-1020.

Gallagher, M.R. and Doherty, J., 2007. Predictive error analysis for a water resource management model. Journal of Hydrology. 34(3-4), 513-533.

Gallagher, M.R., and Doherty, J., 2007. Parameter interdependence and uncertainty induced by lumping in a hydrologic model. Water Resources Research. 43, W05421, doi:10.1029/2006WR005347.

Hunt, R.J., Doherty, J, and Tonkin, M.J., 2007. Are models too simple? Arguments for increased parameterisation. Ground Water. 45 (3), 254–262.

James, S.C., Doherty, J. and Eddebarh, A.-A., 2009. Post-calibration uncertainty analysis: Yucca Mountain, Nevada, USA. Ground Water. 47 (6), 851-869.

Moore, C. and Doherty, J., 2005. The role of the calibration process in reducing model predictive error. Water Resources Research. Vol 41, No 5. W05050.

Moore, C. and Doherty, J., 2006. The cost of uniqueness in groundwater model calibration. Advances in Water Resources. 29, 4, 605–623

Tonkin, M. and Doherty, J., 2005. A hybrid regularised inversion methodology for highly parameterised models. Water Resources Research. 41, W10412, doi:10.1029/2005WR003995, 2005.

Tonkin, M., Doherty, J. and Moore, C., 2007. Efficient nonlinear predictive error variance analysis for highly parameterized models. Water Resources Research. 43, W07429, doi:10.1029/2006WR005348.

Tonkin, M., and Doherty, J., 2008. Calibration-constrained Monte Carlo analysis of highly-parameterized models using subspace techniques. Water Resources Research. 45, W00B10, doi:10.1029/2007WR006678.

Skahill, B. and Doherty, J., 2006. Efficient accommodation of local minima in watershed model calibration. Journal of Hydrology. 329 (1-2), pp122-139.

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