Multiobjective sensitivity analysis to understand the information content in streamflow observations for distributed watershed modeling

Water Resources Research

Volumn 45, Issue 2, 2009, Pages

  Wagener, Thorsten ^a   Van Werkhoven, Kathryn ^a,b   Reed, Patrick ^a   Tang, Yong ^a,c  

^a The Pennsylvania State University   (United States)

^b SYSTECH WATER RESOURCES INC   (United States)

^c BECHTEL CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; DYNAMIC RESPONSE; HYDRAULIC MODELS; LANDFORMS; MULTIOBJECTIVE OPTIMIZATION; RUNOFF; STREAM FLOW; WATER ANALYSIS; WATERSHEDS;

DISTRIBUTED HYDROLOGICAL MODELS; DISTRIBUTED MODELS; DYNAMIC CALIBRATIONS; EVALUATION METRICS; HYDROGRAPH; INFORMATION CONTENTS; MODEL COMPONENTS; MODEL PARAMETERS; MODEL RESPONSE; MULTI OBJECTIVES; OBJECTIVE FUNCTIONS; PRECIPITATION EVENTS; RAINFALL-RUNOFF EVENTS; ROOT-MEAN-SQUARE ERRORS; SENSITIVITY MAPS; SPATIAL PARAMETERS; SPATIO-TEMPORAL DYNAMICS; WATER BALANCES; WATERSHED MODELING;

SENSITIVITY ANALYSIS;

CALIBRATION; ERROR ANALYSIS; HYDROGRAPH; PRECIPITATION ASSESSMENT; RAINFALL-RUNOFF MODELING; SENSITIVITY ANALYSIS; SPATIOTEMPORAL ANALYSIS; STREAMFLOW; TEMPORAL VARIATION; WATER BUDGET; WATERSHED;

EID: 62949168981     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2008WR007347     Document Type: Article

References (15)

1. Burnash, R. J. C. (1995), The NWS River Forecast System - Catchment model, in Computer Models of Watershed Hydrology, edited by V. P. Singh, pp. 311-366, Water Resour. Publ., Highlands Ranch, Colo.
2. Gupta, H. V., S. Sorooshian, and P. O. Yapo (1998), Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information, Water Resour. Res., 34(4), 751-763, doi:10.1029/ 97WR03495.
3. Koren, V., M. Smith, and Q. Duan (2003), Use of a priori parameter estimates in the derivation of spatially consistent parameter sets on rainfall-runoff models, Calibration of Watershed Models, Water Sci. Appl., vol. 6, edited by Q. Duan et al., pp. 239-254, AGU, Washington, D.C.
4. Koren, V., S. Reed, M. Smith, Z. Zhang, and D. J. Seo (2004), Hydrology Laboratory Research Modeling System (HL-RMS) of the US National Weather Service, J. Hydrol., 291(3-4), 297-318, doi:10.1016/j.jhydrol. 2003.12.039.
5. Pokhrel, P., H. V. Gupta, and T. Wagener (2009), A spatial regularization approach to parameter estimation for a distributed watershed model, Water Resour. Res., 44, W12419, doi:10.1029/2007WR006615.
6. Saltelli, A., S. Tarantola, and K. Chan (1999), A quantitative model-independent method for global sensitivity analysis of model output, Technometrics, 41, 39-56, doi:10.2307/1270993.
7. Sobol', I. M. (1993), Sensitivity estimates for nonlinear mathematical models, Math. Model. Comput. Exp., 1, 407-417.
8. Sobol', I. M. (2001), Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates, Math. Comput. Simul., 55, 271-280, doi:10.1016/S0378-4754(00)00270-6.
9. Sorooshian, S., and J. Dracup (1980), Stochastic parameter estimation procedures for hydrologic rainfall-runoff models: Correlated and heteroscedastic error cases, Water Resour. Res., 16(2), 430-442, doi:10.1029/ WR016i002p00430.
10. Tang, Y., P. Reed, K. van Werkhoven, and T. Wagener (2007), Advancing the identification and evaluation of distributed rainfall-runoff models using global sensitivity analysis, Water Resour. Res., 43, W064I5, doi:10.1029/2006WR005813.
11. Tonkin, M. J., and J. Doherty (2005), A hybrid regularized inversion methodology for highly parameterized environmental models, Water Resour. Res., 41, W10412, doi:10.1029/2005WR003995.
12. U.S. Department of Agriculture Soil Conservation Service (1986), Urban hydrology for small watersheds, Tech. Release TR-55, Washington, D.C.
13. van Werkhoven, K., T. Wagener, P. Reed, and Y. Tang (2008a), Rainfall characteristics define the value of streamflow observations for distributed watershed model identification, Geophys. Res. Lett., 35, LI 1403, doi:10.1029/2008GL034162.
14. van Werkhoven, K., T. Wagener, P. Reed, and Y. Tang (2008b), Characterization of watershed model behavior across a hydroclimatic gradient, Water Resour. Res., 44, W01429, doi:10.1029/2007WR006271.
15. Yatheendradas, S., T. Wagener, H. V. Gupta, C. Unkrich, D. Goodrich, M. Schaeffer, and A. Stewart (2008), Understanding uncertainty in distributed flash flood forecasting forsemiarid regions, Water Resour. Res., 44, W05S19, doi:10.1029/2007WR005940.