2005
DOI: 10.3189/172756505781829124
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An enhanced temperature-index glacier melt model including the shortwave radiation balance: development and testing for Haut Glacier d’Arolla, Switzerland

Abstract: An enhanced temperature-index glacier melt model, incorporating incoming shortwave radiation and albedo, is presented. The model is an attempt to combine the high temporal resolution and accuracy of physically based melt models with the lower data requirements and computational simplicity of empirical melt models, represented by the ‘degree-day’ method and its variants. The model is run with both measured and modelled radiation data, to test its applicability to glaciers with differing data availability. Five … Show more

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Cited by 360 publications
(572 citation statements)
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References 57 publications
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“…Thereby, the latter is expressed as a function of calculated albedo (α) and measured global radiation (R). This general type of ablation model was presented by Pellicciotti and others (2005) and has been successfully applied in other studies (e.g. Möller and others, 2013).…”
Section: Temperature/radiation-index Modelmentioning
confidence: 99%
“…Thereby, the latter is expressed as a function of calculated albedo (α) and measured global radiation (R). This general type of ablation model was presented by Pellicciotti and others (2005) and has been successfully applied in other studies (e.g. Möller and others, 2013).…”
Section: Temperature/radiation-index Modelmentioning
confidence: 99%
“…The climatic forcing acting on the glacier can be described using mass balance models of varying complexity that relate meteorological variables to accumulation and ablation rates at the glacier surface (e.g., Arnold et al, 1996;Hock, 1999;Klok and Oerlemans, 2002;Pellicciotti et al, 2005). The ice dynamics of alpine glaciers have been assessed in many glaciological studies ranging from simple flowline models (e.g., Greuell, 1992;Oerlemans, 1997;Sugiyama et al, 2007) to complex 3-D ice flow models (Hubbard et al, 1998;Gudmundsson, 1999;Jouvet et al, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…However, if reference melt or temperature data is inaccurate or of insufficient spatial density, TIMs can significantly over-or underestimate melt and fail to reproduce observed spatial variation. To overcome these limitations, TIMs have been extended by a variety of authors to incorporate a radiation component (Pellicciotti et al, 2005;Schneeberger et al, 2003;Hock, 1999;Williams and Tarboton, 1999;Cazorzi and Fontana, 1996). Via calculation of solar radiation, these extended models explicitly incorporate topographic parameters such as slope and aspect, horizonand self-shading, as well as time of year and latitude.…”
Section: Low Resolution Melt Modellingmentioning
confidence: 99%