Calibration of rainfall‐runoff models: Application of global optimization to the Sacramento Soil Moisture Accounting Model

Conceptual rainfall‐runoff models are difficult to calibrate by means of automatic methods; one major reason for this is the inability of conventional procedures to locate the globally optimal set of parameters. This paper investigates the consistency with which two global optimization methods, the shuffled complex evolution (SCE‐UA) method (developed by the authors) and the multistart simplex (MSX) method, are able to find the optimal parameter...