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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 18, issue 12
Hydrol. Earth Syst. Sci., 18, 4861–4870, 2014
https://doi.org/10.5194/hess-18-4861-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 18, 4861–4870, 2014
https://doi.org/10.5194/hess-18-4861-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 05 Dec 2014

Research article | 05 Dec 2014

A constraint-based search algorithm for parameter identification of environmental models

S. Gharari et al.

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Cited articles

Anderson, R. M., Koren, V. I., and Reed, S. M.: Using SSURGO data to improve Sacramento Model a priori parameter estimates, J. Hydrol., 320, 103–116, https://doi.org/10.1016/j.jhydrol.2005.07.020, 2006.
Bastidas, L. A., Gupta, H. V., Sorooshian, S., Shuttleworth, W. J., and Yang, Z. L.: Sensitivity analysis of a land surface scheme using multicriteria methods, J. Geophys. Res.-Atmos., 104, 19481–19490, https://doi.org/10.1029/1999JD900155, 1999.
Beven, K.: Rainfall-Runoff Modelling, The Primer, John Wiley and Sons, 2001.
Birkel, C., D., T., Dunn, S., and Soulsby, C.: Using time domain and geographic source tracers to conceptualize streamflow generation processes in lumped rainfall-runoff models, Water Resour. Res., 47, W02515, https://doi.org/10.1029/2010WR009547, 2011.
Boyle, D. P., Gupta, H. V., and Sorooshian, S.: Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods, Water Resour. Res., 36, 3663–3674, https://doi.org/10.1029/2000WR900207, 2000.
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