Signature-based model calibration for hydrological prediction in mesoscale Alpine catchments

Hingray, B.; Schaefli, Bettina; Mezghani, Abdelkader; Hamdi, Yasser

doi:10.1080/02626667.2010.505572

Cited by 63 publications

(61 citation statements)

References 22 publications

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“…This more general formulation may therefore limit what could be called exceptional events. Hingray et al (2010) propose a framework to handle the limited information available for the calibration of a semi-distributed model on the upper Rhône River in the Swiss Alps. They apply a sequential calibration approach based on the hydrological signature.…”

Section: How Bizarre Is Bizarre In Fact?mentioning

confidence: 99%

The Court of Miracles of Hydrology: can failure stories contribute to hydrological science?

Andréassian¹,

Perrin²,

Parent

et al. 2010

Hydrological Sciences Journal

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Section: How Bizarre Is Bizarre In Fact?mentioning

confidence: 99%

The Court of Miracles of Hydrology: can failure stories contribute to hydrological science?

Andréassian¹,

Perrin²,

Parent

et al. 2010

Hydrological Sciences Journal

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“…To partition precipitation between rainfall and snowfall, a threshold air temperature was set to 18C. This temperature is derived from Hingray et al (2010),who defined an empirical relationship between the precipitation phase and the temperature using 17 stations located above 1000 m in the Swiss Alps. At this stage, temperature, snowfall, and rainfall were obtained on a 1-km grid and the mean elevation of the grid cell was extracted using the 25-m DEM.…”

Section: B Meteorological Datamentioning

confidence: 99%

Introducing Hysteresis in Snow Depletion Curves to Improve the Water Budget of a Land Surface Model in an Alpine Catchment

Magand

Ducharne

Moine

et al. 2014

Journal of Hydrometeorology

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To cite this version:Claire Magand, Agnès Ducharne, Nicolas Le Moine, Simon Gascoin. Introducing hysteresis in snow depletion curves to improve the water budget of a land surface model in an Alpine catchment. Journal of Hydrometeorology, American Meteorological Society, 2014, 15 (2) ), located in the French Alps, generates 10% of French hydropower and provides drinking water to 3 million people. The Catchment land surface model (CLSM), a distributed land surface model (LSM) with a multilayer, physically based snow model, has been applied in the upstream part of this watershed, where snowfall accounts for 50% of the precipitation. The CLSM subdivides the upper Durance watershed, where elevations range from 800 to 4000 m within 3580 km 2 , into elementary catchments with an average area of 500 km 2 . The authors first show the difference between the dynamics of the accumulation and ablation of the snow cover using Moderate Resolution Imaging Spectroradiometer (MODIS) images and snow-depth measurements. The extent of snow cover increases faster during accumulation than during ablation because melting occurs at preferential locations. This difference corresponds to the presence of a hysteresis in the snow-cover depletion curve of these catchments, and the CLSM was adapted by implementing such a hysteresis in the snow-cover depletion curve of the model. Different simulations were performed to assess the influence of the parameterizations on the water budget and the evolution of the extent of the snow cover. Using six gauging stations, the authors demonstrate that introducing a hysteresis in the snow-cover depletion curve improves melting dynamics. They conclude that their adaptation of the CLSM contributes to a better representation of snowpack dynamics in an LSM that enables mountainous catchments to be modeled for impact studies such as those of climate change.

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“…The use of such hydrological signatures can therefore strengthen the link between the models and the underlying hydrological processes (e.g. Gupta et al, 2008;Yilmaz et al, 2008;Hingray et al, 2010;Wagener and Montanari, 2011). Using hydrological signatures for model evaluation has some advantages and disadvantages in relation to traditional hydrograph fitting.…”

Section: Introductionmentioning

confidence: 99%

A framework to assess the realism of model structures using hydrological signatures

Boer-Euser

Winsemius

Hrachowitz

et al. 2013

Hydrol. Earth Syst. Sci.

238

230

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Abstract. The use of flexible hydrological model structures for hypothesis testing requires an objective and diagnostic method to identify whether a rainfall-runoff model structure is suitable for a certain catchment. To determine if a model structure is realistic, i.e. if it captures the relevant runoff processes, both performance and consistency are important. We define performance as the ability of a model structure to mimic a specific part of the hydrological behaviour in a specific catchment. This can be assessed based on evaluation criteria, such as the goodness of fit of specific hydrological signatures obtained from hydrological data. Consistency is defined as the ability of a model structure to adequately reproduce several hydrological signatures simultaneously while using the same set of parameter values. In this paper we describe and demonstrate a new evaluation Framework for Assessing the Realism of Model structures (FARM). The evaluation framework tests for both performance and consistency using a principal component analysis on a range of evaluation criteria, all emphasizing different hydrological behaviour. The utility of this evaluation framework is demonstrated in a case study of two small headwater catchments (Maimai, New Zealand, and Wollefsbach, Luxembourg). Eight different hydrological signatures and eleven model structures have been used for this study. The results suggest that some model structures may reveal the same degree of performance for selected evaluation criteria while showing differences in consistency. The results also show that some model structures have a higher performance and consistency than others. The principal component analysis in combination with several hydrological signatures is shown to be useful to visualise the performance and consistency of a model structure for the study catchments. With this framework performance and consistency are evaluated to identify which model structure suits a catchment better compared to other model structures. Until now the framework has only been based on a qualitative analysis and not yet on a quantitative analysis.

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Signature-based model calibration for hydrological prediction in mesoscale Alpine catchments

Cited by 63 publications

References 22 publications

The Court of Miracles of Hydrology: can failure stories contribute to hydrological science?

The Court of Miracles of Hydrology: can failure stories contribute to hydrological science?

Introducing Hysteresis in Snow Depletion Curves to Improve the Water Budget of a Land Surface Model in an Alpine Catchment

A framework to assess the realism of model structures using hydrological signatures

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