Introduction to the special section in Vadose Zone Journal: Parameter identification and uncertainty assessment in the unsaturated zone

Vadose Zone Journal

Volumn 5, Issue 3, 2006, Pages 915-916

  Vrugt, Jasper A ^a   Neuman, Shlomo P ^b  

^a LOS ALAMOS NATIONAL LABORATORY   (United States)

^b UNIVERSITY OF ARIZONA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 34547919180     PISSN: None     EISSN: 15391663     Source Type: Journal    
DOI: 10.2136/vzj2006.0098     Document Type: Editorial

References (12)

1. Evensen, G. 1994. Sequential data assimilation with a non-linear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J. Geophys. Res. 99(C5):10143-10162.
2. Hoeting, J.A., D. Madigan, A.E. Raftery, and C.T. Volinsky. 1999. Bayesian model averaging: A tutorial. Stat. Sci. 14(4):382-417.
3. Kwicklis, E.M., A.V. Wolfsberg, P.H. Stauffer, M.A. Walvoord, and M.J. Sully. 2006. Multiphase, multicomponent parameter estimation for liquid and vapor fluxes in deep arid systems using hydrologic data and natural environmental tracers. Available at www.vadosezonejournal.org. Vadose Zone J. 5:934-950 (this issue).
4. Kung, K.-J.S., E.J. Kladivko, C.S. Helling, T.J. Gish, T.S. Steenhuis, and D.B. Jaynes. 2006. Quantifying the pore size spectrum of macropore-type preferential pathways under transient flow. Available at www.vadosezonejournal. org. Vadose Zone J. 5:978-989 (this issue).
5. Mertens, J., R. Stenger, and G.F. Barkle. 2006. Multiobjective inverse modeling for soil parameter estimation and model verification. Vadose Zone J. 5:917-933 (this issue).
6. Neuman, S.P. 2003. Maximum likelihood Bayesian averaging of alternative conceptual-mathematical models. Stochastic Environ. Res. Risk Assess. 17(5):291-305. doi:10.1007/s00477-003-0151-7.
7. Neuweiler, I., and H. Eichel. 2006. Effective parameter functions for the Richards equation in layered porous media. Available at www.vadosezonejournal. org. Vadose Zone J. 5:963-977 (this issue).
8. Raftery, A.E., T. Gneiting, F. Balabdaoui, and M. Polakowski. 2005. Using Bayesian model averaging to calibrate forecast ensembles. Monthly Weather Rev. 133:1155-1174.
9. Schoups, G., and J.W. Hopmans. 2006. Evaluation of model complexity and input uncertainty of field-scale water flow and salt transport. Vadose Zone J. 5:951-962 (this issue).
10. Vrugt, J.A., B.A. Robinson, and V.V. Vesselinov. 2005. Improved inverse modeling for flow and transport in subsurface media: Combined parameter and state estimation. Geophys. Res. Let 32:L18408. doi:10.1029/2005GL023940.
11. Ye, M., S.P. Neuman, and P.D. Meyer. 2004. Maximum likelihood Bayesian averaging of spatial variability models in unsaturated fractured tuff. Water Resour. Res. 40(5):W05113. doi:10.1029/2003WR002557.
12. Ye, M., S.P. Neuman, P.D. Meyer, and K. Pohlmann. 2005. Sensitivity analysis and assessment of prior model probabilities in MLBMA with application to unsaturated fractured tuff. Water Resour. Res. 41:W12429. doi:10.1029/2005WR004260.