A multistep automatic calibration scheme for river forecasting models

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

An evaluation of adaptive surrogate modeling based optimization with two benchmark problems (2014, methodology): “…3 September 2013 Received in revised form 23 May 2014 Accepted 26 May 2014 Available online 2 July 2014 Keywords: Adaptive surrogate modeling based optimization Design of experiment Adaptive sampling Global sensitivity analysis Computationally intensive computer models * Corresponding author.”
A spatial regularization approach to parameter estimation for a distributed watershed model (2008, methodology): “…minimum of a parameter estimation problem even for complex watershed models [e.g., Duan et al., 1992, 1993, 1994; Sorooshian et al., 1993; Luce and Cundy, 1994; Gan and Biftu, 1996; Tanakamaru, 1995; Kuczera, 1997; Hogue et al., 2000; Boyle et al., 2000; Wagener and Gupta, 2005; among others].”
Reducing hydrologic model uncertainty in monthly streamflow predictions using multimodel combination (2012, background): “Numerous studies have focused on parameter estimation [Hogue et al., 2000; Ajami et al., 2004; Carpenter and Georgakakos, 2004; Vrugt et al., 2005] and on developing calibration algorithms [Duan et al., 1992; Ajami et al., 2004; Moradkhani et al., 2005] for rainfall-runoff models.”