Print Email Facebook Twitter Snow model comparison to simulate snow depth evolution and sublimation at point scale in the semi-arid Andes of Chile Title Snow model comparison to simulate snow depth evolution and sublimation at point scale in the semi-arid Andes of Chile Author Voordendag, A. (Student TU Delft; University of Innsbruck) Réveillet, M. (Université Grenoble Alpes; Centro de Estudios Avanzados en Zonas Áridas (CEAZA)) MacDonell, S. (Centro de Estudios Avanzados en Zonas Áridas (CEAZA)) Lhermitte, S.L.M. (TU Delft Mathematical Geodesy and Positioning) Date 2021 Abstract Physically based snow models provide valuable information on snow cover evolution and are therefore key to provide water availability projections. Yet, uncertainties related to snow modelling remain large as a result of differences in the representation of snow physics and meteorological forcing. While many studies focus on evaluating these uncertainties, no snow model comparison has been done in environments where sublimation is the main ablation process. This study evaluates a case study in the semi-arid Andes of Chile and aims to compare two snow models with different complexities, SNOWPACK and SnowModel, at a local point over one snow season and to evaluate their sensitivity relative to parameterisation and forcing. For that purpose, the two models are forced with (i) the most ideal set of input parameters, (ii) an ensemble of different physical parameterisations, and (iii) an ensemble of biased forcing. Results indicate large uncertainties depending on forcing, the snow roughness length z0, albedo parameterisation, and fresh snow density parameterisation. The uncertainty caused by the forcing is directly related to the bias chosen. Even though the models show significant differences in their physical complexity, the snow model choice is of least importance, as the sensitivity of both models to the forcing data was on the same order of magnitude and highly influenced by the precipitation uncertainties. The sublimation ratio ranges are in agreement for the two models: 36.4 % to 80.7 % for SnowModel and 36.3 % to 86.0 % for SNOWPACK, and are related to the albedo parameterisation and snow roughness length choice for the two models. To reference this document use: http://resolver.tudelft.nl/uuid:935ff494-160b-495c-b8a9-4a06099b83a7 DOI https://doi.org/10.5194/tc-15-4241-2021 ISSN 1994-0416 Source The Cryosphere, 15 (9), 4241-4259 Part of collection Institutional Repository Document type journal article Rights © 2021 A. Voordendag, M. Réveillet, S. MacDonell, S.L.M. Lhermitte Files PDF tc_15_4241_2021.pdf 10.41 MB Close viewer /islandora/object/uuid:935ff494-160b-495c-b8a9-4a06099b83a7/datastream/OBJ/view