Articles | Volume 21, issue 9
https://doi.org/10.5194/hess-21-4825-2017
https://doi.org/10.5194/hess-21-4825-2017
Research article
 | 
28 Sep 2017
Research article |  | 28 Sep 2017

A hydrological prediction system based on the SVS land-surface scheme: efficient calibration of GEM-Hydro for streamflow simulation over the Lake Ontario basin

Étienne Gaborit, Vincent Fortin, Xiaoyong Xu, Frank Seglenieks, Bryan Tolson, Lauren M. Fry, Tim Hunter, François Anctil, and Andrew D. Gronewold

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Latest update: 29 Feb 2024
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Short summary
The work presents an original methodology for optimizing streamflow simulations with the distributed hydrological model GEM-Hydro. While minimizing the computational time required for automatic calibration, the approach allows us to end up with a spatially coherent and transferable parameter set. The GEM-Hydro model is useful because it allows simulation of all physical components of the hydrological cycle in every part of a domain. It proves to be competitive with other distributed models.