Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1029/2012WR012195
Title (Primary) Implications of distributed hydrologic model parameterization on water fluxes at multiple scales and locations
Author Kumar, R. ORCID logo ; Samaniego, L. ORCID logo ; Attinger, S.
Source Titel Water Resources Research
Year 2013
Department CHS
Volume 49
Issue 1
Page From 360
Page To 379
Language englisch
UFZ wide themes RU5;
Abstract Distributed hydrologic models are increasingly used to describe the spatio-temporal 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 hydrological response units (HRU) 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 were 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\%), while MPR exhibited quasi scale-invariant performance with losses in modeling efficiency of less than 2\%. Moreover the latter preserves the spatio-temporal 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 to those of HRU. This study emphasizes the importance of a robust parameterization method in distributed hydrologic modeling.

Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=13134
Kumar, R., Samaniego, L., Attinger, S. (2013):
Implications of distributed hydrologic model parameterization on water fluxes at multiple scales and locations
Water Resour. Res. 49 (1), 360 - 379 10.1029/2012WR012195