2015
DOI: 10.1139/cjes-2015-0015
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Comparing global and local calibration schemes from a differential split-sample test perspective

Abstract: This work explores the performances of the hydrologic model Hydrotel, applied to 36 catchments located in the Province of Quebec, Canada. A local calibration (each catchment taken individually) scheme and a global calibration (a single parameter set sought for all catchments) scheme are compared in a differential split-sample test perspective. Such a methodology is useful to gain insights on a model’s skills under different climatic conditions, in view of its use for climate change impact studies. The model wa… Show more

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Cited by 22 publications
(20 citation statements)
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“…The potential benefits of global calibration have been demonstrated here, as for a previous Hydrotel application (Gaborit et al, 2015). It achieves satisfactory performances for a large area with a unique calibration and favors temporal robustness, spatial consistency and parameter transferability.…”
Section: Discussionmentioning
confidence: 73%
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“…The potential benefits of global calibration have been demonstrated here, as for a previous Hydrotel application (Gaborit et al, 2015). It achieves satisfactory performances for a large area with a unique calibration and favors temporal robustness, spatial consistency and parameter transferability.…”
Section: Discussionmentioning
confidence: 73%
“…Sensitivity tests (Gaborit et al, 2016) revealed that 2 and 10 arcmin resolutions for SVS lead to quite similar performance in terms of streamflow at the outlet, while a substantial amount of computation time is saved when running the coarser resolution (see Fig. 1).…”
Section: Modelsmentioning
confidence: 98%
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“…Parajka et al (2007) indicate that the iterative regional calibration indeed reduced the uncertainty of most parameters. Regional calibration can result in a better temporal robustness than normal individual calibration (Gaborit et al, 2015) and it provides an effective approach in large-scale hydrological assessments (Ricard et al, 2012).…”
Section: Introductionmentioning
confidence: 99%