Implications of distributed hydrologic model parameterization on water fluxes at multiple scales and locations
Article first published online: 25 JAN 2013
©2012. American Geophysical Union. All Rights Reserved.
Water Resources Research
Volume 49, Issue 1, pages 360–379, January 2013
How to Cite
2013), Implications of distributed hydrologic model parameterization on water fluxes at multiple scales and locations, Water Resour. Res., 49, doi:10.1029/2012WR012195., , and (
- Issue published online: 1 MAR 2013
- Article first published online: 25 JAN 2013
- Manuscript Accepted: 3 DEC 2012
- Manuscript Revised: 30 NOV 2012
- Manuscript Received: 27 MAR 2012
- ungauged basin;
 Distributed hydrologic models are increasingly used to describe the spatiotemporal dynamics of water fluxes and state variables occurring within a basin. Reliable model simulations at multiple scales and locations, however, can be obtained only if a robust parameterization method is employed. In this study, we evaluated the performance of three parameterization methods: two based on the hydrological response units (HRUs) and one on the multiscale parameter regionalization (MPR) technique. They were implemented into the distributed mesoscale hydrologic model and then applied to 45 southern German basins. A set of numerical experiments were conducted to assess the effectiveness of the transferability of free parameters to scales and locations other than those used during calibration. The performance of all three methods was comparable for daily discharge simulations when their free parameters were calibrated independently in each basin at a given scale. A significant deterioration in performance of HRU was, however, noticed when free parameters calibrated at coarser scales were shifted to finer ones (up to 60%), whereas MPR exhibited quasi scale-invariant performance with losses in modeling efficiency of less than 2%. Moreover, the latter preserves the spatiotemporal pattern of the simulated variables at a given scale, when transferred from other scales. Evaluation of the transferability of free parameters to ungauged locations further indicated the higher effectiveness and reliability of MPR compared with those of HRU. This study emphasizes the importance of a robust parameterization method in distributed hydrologic modeling.