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| Titel |
Technical Note: Reducing the spin-up time of integrated surface water–groundwater models |
| VerfasserIn |
H. Ajami, J. P. Evans, M. F. McCabe, S. Stisen |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 18, no. 12 ; Nr. 18, no. 12 (2014-12-12), S.5169-5179 |
| Datensatznummer |
250120563
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| Publikation (Nr.) |
 copernicus.org/hess-18-5169-2014.pdf |
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| Zusammenfassung |
| 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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