EISModel is a snow accumulation and melt model that combines the classical temperature index approach with a distributed radiation index, computed accounting for astronomical radiation and local topography. In former applications the model showed a good ability to follow the spatial variability of snow cover during the melt season. It uses few parameters an few meteorological data thus being a potentially interesting tool even in glacial environment, where often data and parameters required for a physically based approach are not fully available. Anyway melt modelling over a glacial surface must take into account even factors that normally, in case of snow melt over ground, can be neglected, as the albedo seasonal variation or the surface topography changes in longer periods. The model was employed to simulate two ablation seasons in the alpine Agola glacier (Brenta Dolomites), comparing the results with detailed field surveys data

Simulazione della fusione in ambiente glaciale con un modello distribuito ad indice morfoenergetico

CAZORZI, Federico;
2005-01-01

Abstract

EISModel is a snow accumulation and melt model that combines the classical temperature index approach with a distributed radiation index, computed accounting for astronomical radiation and local topography. In former applications the model showed a good ability to follow the spatial variability of snow cover during the melt season. It uses few parameters an few meteorological data thus being a potentially interesting tool even in glacial environment, where often data and parameters required for a physically based approach are not fully available. Anyway melt modelling over a glacial surface must take into account even factors that normally, in case of snow melt over ground, can be neglected, as the albedo seasonal variation or the surface topography changes in longer periods. The model was employed to simulate two ablation seasons in the alpine Agola glacier (Brenta Dolomites), comparing the results with detailed field surveys data
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/690296
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