Automatic Calibration of Conceptual Rainfall-Runoff Models: Optimization Algorithms, Catchment Conditions, and Model Structure

By T. Gan, G. Biftu. 1996

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Citations in the corpus

An evaluation of adaptive surrogate modeling based optimization with two benchmark problems (2014, methodology): “Many case studies have demonstrated that SCE-UA algorithm is an effective and efficient method for model calibration (Sorooshian et al., 1993; Gan and Biftu, 1996; Hogue et al., 2000; Boyle et al., 2000; Moreno et al., 2012).”
Automatic calibration of a conceptual rainfall-runoff model using multiple objectives. (2000, methodology): “…rainfall–runoff models, including the Sacramento model (Sorooshian et al., 1993; Duan et al., 1994; Gan and Biftu, 1996; Yapo et al., 1996; Gan et al., 1997 ), the Tank model (Tanakamaru and Burges, 1996; Cooper et al., 1997), and the Xinanjiang model (Gan and Biftu, 1996; Gan et al., 1997).”
Dynamically dimensioned search algorithm for computationally efficient watershed model calibration (2007, methodology): “For example, in three studies calibrating 11– 13 model parameters, SCE results were generated using 11,000 to 23,000 model evaluations [ Duan et al. , 1994; Gan and Biftu , 1996; Sorooshian et al. , 1993].”
The role of hydrograph indices in parameter estimation of rainfall–runoff models (2005, background): “According to Sorooshian et al. (1993), Gan and Biftu (1996), Kuczera (1997) and others, in hydrological models, the SCE-UA is generally robust, effective and efficient in converging to the global optimum.”
Comparison of different multi-objective calibration criteria using a conceptual rainfall-runoff model of flood events. (2007, methodology): “Various calibration algorithms and procedures have been presented in the literature extensively (Rosenbrock, 1960; Nelder and Mead 1965; Duan et al., 1992; Gan and Biftu, 1996; Yapo et al., 1998; Vrugt et al. 2003a and b; see a review in Gupta et al., 2003).”
Application of temporal streamflow descriptors in hydrologic model parameter estimation (2005, background): “It has also received substantial attention from numerous research groups that use it to study modeling issues and the hydrologic responses of specific watersheds [Brazil, 1988; Sorooshian et al., 1993; Gan and Biftu, 1996; Koren et al., 2000; Carpenter et al., 2001].”
Mathematical Modeling of Watershed Hydrology (2002, background): “…and efficient in locating the globally optimum hydr logic model parameters~Duan et al. 1992, 1993; Sorooshian et 1993; Luce and Cundy 1994; Gan and Biftu 1996; Tanakam 1995; Tanakamaru and Burges 1997; Kuczera 1997!. Termination criteria are needed in an iterative search algori to…”
Split-parameter structure for the automatic calibration of distributed hydrological models (2007, methodology): “This algorithm was initially developed for the calibration of lumped models, with good results reported in all cases (Duan et al., 1992, 1994; Sorooshian et al., 1993; Yapo et al., 1996; Gan and Biftu, 1996; Thyer et al., 1999).”
Ensemble‐based assimilation of discharge into rainfall‐runoff models: A comparison of approaches to mapping observational information to state space (2009, methodology): “Simplex (MSX) and local Simplex methods [ Gan and Biftu, 1996 ], simulated annealing [Thyer et al., 1999], genetic algorithms [Reed et al., 2000, 2003], and Particle Swarm Optimization [Gill et al., 2006].”