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- W4311691779 abstract "<strong class=journal-contentHeaderColor>Abstract.</strong> Spatially-distributed hydrology and land surface models are typically applied in combination with river routing schemes that convert instantaneous runoff into streamflow. Nevertheless, the development of such schemes has been somehow disconnected from hydrologic model calibration research, although both seek to achieve more realistic streamflow simulations. In this paper, we seek to bridge this gap to understand the extent to which the configuration of routing schemes affects hydrologic model calibration results in water resources applications. To this end, we configure the Variable Infiltration Capacity (VIC) model, coupled with the mizuRoute routing model in the Cautín River basin (2770 km<sup>2</sup>), Chile. We use the Latin Hypercube Sampling (LHS) method to generate 3500 different VIC model parameters sets, for which basin-averaged runoff estimates are obtained directly (no routing case), and subsequently compared against outputs from four routing schemes (Unit Hydrograph, Lagrangian Kinematic Wave, Muskingum-Cunge and Diffusive Wave) applied with five different routing time steps (1, 3, 6, 12 and 24 hours). The results show that incorporating routing schemes may alter streamflow simulations at sub-daily, daily and even monthly time scales. The maximum Kling-Gupta Efficiency (KGE) obtained for daily streamflow increases from 0.73 (no routing) to 0.82 (for the best scheme), and such improvements do not depend on the routing time step. Moreover, the optimal parameter sets may differ depending on the routing scheme configuration, affecting the baseflow contribution to total runoff. Including routing models decreases streamflow values in frequency curves and lowers the segment with high discharge values in the flow duration curve (compared to the case without routing). More generally, the results presented here highlight the potential impacts of river routing implementations on water resources applications that involve hydrologic models and, in particular, parameter calibration." @default.
- W4311691779 created "2022-12-28" @default.
- W4311691779 date "2022-12-16" @default.
- W4311691779 modified "2023-09-30" @default.
- W4311691779 title "Comment on hess-2022-338" @default.
- W4311691779 doi "https://doi.org/10.5194/hess-2022-338-rc2" @default.
- W4311691779 hasPublicationYear "2022" @default.
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