An advanced regularization methodology for use in watershed model calibration

Journal of Hydrology

Volumn 327, Issue 3-4, 2006, Pages 564-577

  Doherty, John ^a,b   Skahill, Brian E ^c  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b Watermark Numerical Computing   (Australia)

^c WATERWAYS EXPERIMENT STATION   (United States)

Author keywords

Calibration; Regularization; Watershed modeling

Indexed keywords

ALGORITHMS; CALIBRATION; CONSTRAINT THEORY; INVERSE PROBLEMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION;

REGULARIZATION; STABLE MATHEMATICAL REGULARIZATION; WATERSHED MODELING; WATERSHED MODELS;

WATERSHEDS;

ALGORITHMS; CALIBRATION; CONSTRAINT THEORY; INVERSE PROBLEMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; WATERSHEDS;

CALIBRATION; HYDROLOGICAL MODELING; NUMERICAL MODEL; PARAMETERIZATION; REGULATORY APPROACH; WATERSHED;

EID: 33746238525     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2005.11.058     Document Type: Article

References (41)

1. Alley W.M., and Veenhuis J.E. Effective impervious area in urban runoff modeling. Journal of Hydraulic Engineering 109 2 (1983) 313-319
2. Aster R.C., Borchers B., and Thurber C.H. Parameter Estimation and Inverse Problems (2005), Elsevier, Amsterdam 301 p
3. Backus G., and Gilbert F. Numerical application of a formalism for geophysical inverse problems. Geophysical Journal of the Royal Astronomical Society 13 (1967) 247-276
4. Bates B., and Campbell E. A Markov chain Monte Carlo scheme for parameter estimation and inference in conceptual rainfall-runoff modeling. Water Resources Research 37 4 (2001) 937-947
5. Bicknell, B.R., Imhoff, J.C., Kittle, J.L., Jobes, T.H., Donigian, A.S., 2001. HSPF User's Manual. Aqua Terra Consultants, Mountain View, California.
6. Box G.E.P., and Cox D.R. An analysis of transformations. Journal of the Royal Statistical Society Series B 26 (1964) 211-243
7. Box G.E.P., and Jenkins G.M. Time Series Analysis: Forecasting and Control. rev. ed. (1976), Holden-Day, San Francisco, CA
8. Boyle D.P., Gupta H.V., and Sorooshian S. Toward improved calibration of hydrologic models: combining the strengths of manual and automatic methods. Water Resources Research 36 12 (2000) 3663-3674
9. Bruckner G., Handrock-Meyer S., and Langmach H. An inverse problem from 2-D groundwater modeling. Inverse Problems 14 4 (1998) 835-851
10. Campbell E.P., and Bates B.C. Regionalization of rainfall-runoff model parameters using Markov chain Monte Carlo samples. Water Resources Research 37 3 (2001) 731-739
11. Constable S.C., Parker R.L., and Constable C.G. Occam's inversion: a practical algorithm for generating smooth models from electromagnetic sounding data. Geophysics 52 3 (1987) 289-300
12. Conte S.D., and de Boor C. Elementary Numerical Analysis (1972), McGraw-Hill, New York
13. deGroote-Hedlin C., and Constable S. Occam's inversion to generate smooth, two-dimensional models from magnetotelluric data. Geophysics 55 12 (1990) 1624-1631
14. Doherty J. Groundwater model calibration using pilot points and regularization. Ground Water 41 2 (2003) 170-177
15. Doherty J. PEST Surface Water Utilities (2003), Watermark Numerical Computing, Brisbane, Australia
16. Doherty, J., 2005. PEST: Model Independent Parameter Estimation: Fifth Edition of User Manual. Watermark Numerical Computing, Brisbane, Australia.
17. Doherty J., and Johnston J.M. Methodologies for calibration and predictive analysis of a watershed model. Journal of the American Water Resources Association 39 2 (2003) 251-265
18. Duan Q.S., Sorooshian S., and Gupta V.K. Effective and efficient global optimization for conceptual rainfall runoff models. Water Resources Research 28 4 (1992) 1015-1031
19. Emsellem Y., and de Marsily G. An automatic solution for the inverse problem. Water Resources Research 7 5 (1971) 1264-1283
20. Engl H.W., Hanke M., and Neubauer A. Regularization of Inverse Problems (1996), Kluwer, Dordrecht
21. ENVVEST Regulatory Working Group, 2002. FINAL Fecal Coliform Total Maximum Daily Load Study Plan for Sinclair and Dyes Inlets Quality Assurance Project Plan. October 4, 2002. Available from: .
22. Gupta, H.V., Sorooshian, S., Hogue, T.S., Boyle, D.P., 2003. Advances in automatic calibration of watershed models. In: Duan, Q., Gupta, H., Sorooshian, S., Rousseau, A., Turcotte, R. (Eds.), Water Science and Application Series 6, 197-211.
23. Haber, E., 1997. Numerical strategies for the solution of inverse problems. PhD Thesis, University of British Columbia.
24. Haber E., Ascher U.M., and Oldernburg G. On optimization techniques for solving nonlinear inverse problems. Inverse Problems 16 (2000) 1263-1280
25. Kuczera G. Improved parameter inference in catchment models. 1. Evaluating parameter uncertainty. Water Resources Research 19 5 (1983) 1151-1172
26. Koren, V., 1993. The potential for improving lumped parameter models using remotely sensed data. In: Proceedings of the 13th Conference on Weather Analysis and Forecasting, August 2-6, 1993, Vienna, VA, USA, pp. 397-400.
27. Koren V.I., and Kuchment L.S. A mathematical model of rain flood formation, optimization of its parameters and use in hydrological forecasting. Meteorology and Hydrology 11 (1971) 59-68 (in Russian)
28. Lumb, A.M., McCamon, R.B., Kittle Jr., J.L., 1994. Users manual for an expert system (HSPEXP) for calibration of the Hydrologic Simulation Program - Fortran: US Geological Survey Water-Resources Investigations Report 94-4168, 102 p.
29. Madsen H. Automatic calibration of a conceptual rainfall-runoff model using multiple objectives. Journal of Hydrology 235 (2000) 276-288
30. Magette W.L., Shanholtz V.O., and Carr J.C. Estimating selected parameters for the Kentucky watershed model from watershed characteristics. Water Resources Research 12 3 (1976) 472-476
31. Menke W. Geophysical Data Analysis: Discrete Inverse Theory (1984), Academic Press, New York
32. Moore C., and Doherty J. The role of the calibration process in reducing model predictive error. Water Resources Research 41 5 (2005) W05020
33. Moore C., and Doherty J. The cost of uniqueness in groundwater model calibration. Advances in Water Resources 29 4 (2006) 605-623
34. Portniaguine O., and Zhdanov M.S. Focusing geophysical inversion images. Geophysics 64 3 (1999) 874-887
35. Schaake J.C., Koren V.I., and Duan Q.Y. A simple water balance model (SWB) for estimating runoff at different spatial and temporal scales. Journal of Geophysical Research (1996) 101
36. Skaggs T.H., and Kabala Z.L. Recovering the release history of a groundwater contaminant. Water Resources Research 30 1 (1994) 71-79
37. Tikhonov A., and Arsenin V. Solutions of Ill-posed Problems (1977), V.H. Winston
38. Tonkin M.J., and Doherty J. A hybrid regularized inversion methodology for highly parameterized environmental models. Water Resources Research 41 (2005) W10412 10.1029/2005WR003995
39. USEPA, 2000. BASINS Technical Note 6: Estimating Hydrology and Hydraulic Parameters for HSPF. EPA-823-R-00-012.
40. van Loon E.E., and Troch P.A. Tikhonov regularization as a tool for assimilating soil moisture data in distributed hydrological models. Hydrological Processes 16 (2002) 531-556
41. Yokoo Y., Kazama M., Sawamoto M., and Nishimura H. Regionalization of lumped water balance model parameters based on multiple regression. Journal of Hydrology 246 (2001) 209-222