Access the full text.
Sign up today, get DeepDyve free for 14 days.
S. Sorooshian, V. Gupta, James Fulton (1983)
Evaluation of Maximum Likelihood Parameter estimation techniques for conceptual rainfall‐runoff models: Influence of calibration data variability and length on model credibilityWater Resources Research, 19
R. Linsley, M. Kohler, J. Paulhus (1958)
Hydrology for engineers
Ibbitt Ibbitt, O'Donnell O'Donnell (1971)
Fitting methods for conceptual catchment modelsJ. Hydraul. Div. Am. Soc. Civ. Eng., 97
S. Sorooshian, J. Dracup (1980)
Stochastic parameter estimation procedures for hydrologie rainfall‐runoff models: Correlated and heteroscedastic error casesWater Resources Research, 16
Hooke Hooke, Jeeves Jeeves (1961)
Direct search solutions of numerical and statistical problemsJ. Assoc. Comput. Mach., 8
R. Ibbitt (1970)
Systematic parameter fitting for conceptual models of catchment hydrology
R. Ibbitt, T. O'donnell (1971)
Fitting Methods for Conceptual Catchment ModelsJournal of Hydraulic Engineering, 97
R. Hooke, T. Jeeves (1961)
`` Direct Search'' Solution of Numerical and Statistical ProblemsJ. ACM, 8
R. Moore, R. Clarke (1981)
A distribution function approach to rainfall runoff modelingWater Resources Research, 17
S. Sorooshian (1981)
Parameter estimation of rainfall-runoff models with heteroscedastic streamflow errors — The noninformative data caseJournal of Hydrology, 52
R. Parker (1977)
Experimental Study of Drainage Basin Evolution and Its Hydrologic Implications
P. Johnston, D. Pilgrim (1976)
Parameter optimization for watershed modelsWater Resources Research, 12
G. Pickup (1977)
TESTING THE EFFICIENCY OF ALGORITHMS AND STRATEGIES FOR AUTOMATIC CALIBRATION OF RAINFALL-RUNOFF MODELS, 22
V. Gupta, S. Sorooshian (1983)
Uniqueness and observability of conceptual rainfall‐runoff model parameters: The percolation process examinedWater Resources Research, 19
Alley (1980)
Parameteric deterministic urban watershed modelsHydraul. Div. Am. Soc. Civ. Eng., 106
Dawdy Dawdy, O'Donnell O'Donnell (1965)
Mathematical models of catchment behaviourJ. Hydraul. Div. Am. Soc. Civ. Eng., 91
Reasons for the inability to obtain unique and conceptually realistic parameter sets for conceptual rainfall‐runoff models are examined in this paper. The problem is first posed in a framework that allows a more consistent and logical analysis of the related aspects. Response surface studies demonstrate that choice of an objective function that better explains some of the stochastic properties of the errors in the output results in a smoother, better shaped response surface; hence the chances of obtaining unique and realistic parameter estimates are improved. However, our analysis indicates that part of the problem is also due to inadequacies in the model structure. The arguments are illustrated using results obtained with the soil moisture accounting model of the National Weather Service's river forecast system.
Water Resources Research – Wiley
Published: Feb 1, 1983
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.