Extension of a Monolayer Energy-Budget Degree-Day Model to a Multilayer One.

Augas, Julien; Foulon, Étienne ORCID: https://orcid.org/0000-0003-2509-6101; Rousseau, Alain N. ORCID: https://orcid.org/0000-0002-3439-2124 et Baraër, Michel ORCID: https://orcid.org/0000-0003-4138-3354 (2024). Extension of a Monolayer Energy-Budget Degree-Day Model to a Multilayer One. Water , vol. 16 , nº 8. p. 1089. DOI: 10.3390/w16081089.

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Résumé

This paper presents the extension of the monolayer snow model of a semi-distributed hydrological model (HYDROTEL) to a multilayer model that considers snow to be a combination of ice and air, while accounting for freezing rain. For two stations in Yukon and one station in northern Quebec, Canada, the multilayer model achieves high performances during calibration periods yet similar to the those of the monolayer model, with KGEs of up to 0.9. However, it increases the KGE values by up to 0.2 during the validation periods. The multilayer model provides more accurate estimations of maximum SWE and total spring snowmelt dates. This is due to its increased sensitivity to thermal atmospheric conditions. Although the multilayer model improves the estimation of snow heights overall, it exhibits excessive snow densities during spring snowmelt. Future research should aim to refine the representation of snow densities to enhance the accuracy of the multilayer model. Nevertheless, this model has the potential to improve the simulation of spring snowmelt, addressing a common limitation of the monolayer model.

Type de document:	Article
Mots-clés libres:	multilayer structure; snow water equivalent; ice/air mixture; snow modeling; snowmelt; sensitivity analysis; snow height; winter snow peak
Centre:	Centre Eau Terre Environnement
Date de dépôt:	01 août 2024 15:56
Dernière modification:	16 oct. 2024 12:57
URI:	https://espace.inrs.ca/id/eprint/15600

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