Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Hydrol. Earth Syst. Sci., 18, 5169-5179, 2014
https://doi.org/10.5194/hess-18-5169-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Technical note
12 Dec 2014
Technical Note: Reducing the spin-up time of integrated surface water–groundwater models
H. Ajami1,2, J. P. Evans3,4, M. F. McCabe5, and S. Stisen6 1School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia
2Connected Waters Initiative Research Centre, University of New South Wales, Sydney, Australia
3Climate Change Research Centre, University of New South Wales, Sydney, Australia
4ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, Australia
5Water Desalination and Reuse Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
6Geological Survey of Denmark and Greenland, Copenhagen, Denmark
Abstract. One of the main challenges in the application of coupled or integrated hydrologic models is specifying a catchment's initial conditions in terms of soil moisture and depth-to-water table (DTWT) distributions. One approach to reducing uncertainty in model initialization is to run the model recursively using either a single year or multiple years of forcing data until the system equilibrates with respect to state and diagnostic variables. However, such "spin-up" approaches often require many years of simulations, making them computationally intensive. In this study, a new hybrid approach was developed to reduce the computational burden of the spin-up procedure by using a combination of model simulations and an empirical DTWT function. The methodology is examined across two distinct catchments located in a temperate region of Denmark and a semi-arid region of Australia. Our results illustrate that the hybrid approach reduced the spin-up period required for an integrated groundwater–surface water–land surface model (ParFlow.CLM) by up to 50%. To generalize results to different climate and catchment conditions, we outline a methodology that is applicable to other coupled or integrated modeling frameworks when initialization from an equilibrium state is required.

Citation: Ajami, H., Evans, J. P., McCabe, M. F., and Stisen, S.: Technical Note: Reducing the spin-up time of integrated surface water–groundwater models, Hydrol. Earth Syst. Sci., 18, 5169-5179, https://doi.org/10.5194/hess-18-5169-2014, 2014.
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A new hybrid approach was developed to reduce the computational burden of the spin-up procedure by using a combination of model simulations and an empirical depth-to-water table function. Results illustrate that the hybrid approach reduced the spin-up period required for an integrated groundwater--surface water--land surface model (ParFlow.CLM) by up to 50%. The methodology is applicable to other coupled or integrated modeling frameworks when initialization from an equilibrium state is required.
A new hybrid approach was developed to reduce the computational burden of the spin-up procedure...
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