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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 | Copyright
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 | 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 H. Ajami et al.
  • 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.

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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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