2014
DOI: 10.5194/tc-8-1921-2014
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Using daily air temperature thresholds to evaluate snow melting occurrence and amount on Alpine glaciers by <i>T</i>-index models: the case study of the Forni Glacier (Italy)

Abstract: Abstract. Glacier melt conditions (i.e., null surface temperature and positive energy budget) can be assessed by analyzing data acquired by a supraglacial automatic weather station (AWS), such as the station installed on the surface of Forni Glacier (Italian Alps). When an AWS is not present, the assessment of actual melt conditions and the evaluation of the melt amount is more difficult and simple methods based on T -index (or degree days) models are generally applied. These models require the choice of a cor… Show more

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Cited by 30 publications
(20 citation statements)
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“…We also observed that cryoconite holes seldom persist for a whole ablation season on the surface of the Forni Glacier. Indeed, melting rate was high on the tongue of the Forni Glacier during the ablation season 2013, and led to the loss of 6 m of ice in the sampled area (Senese et al, 2014). Consequently, a large number of cryoconite holes disappeared between consecutive visits to the glacier (A. Franzetti and R.S.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…We also observed that cryoconite holes seldom persist for a whole ablation season on the surface of the Forni Glacier. Indeed, melting rate was high on the tongue of the Forni Glacier during the ablation season 2013, and led to the loss of 6 m of ice in the sampled area (Senese et al, 2014). Consequently, a large number of cryoconite holes disappeared between consecutive visits to the glacier (A. Franzetti and R.S.…”
Section: Discussionmentioning
confidence: 99%
“…Glacier elevation ranges between 2600 and 3670 m a.s.l. The ablation season spans from early July to late September, as assessed by the data from an automatic weather station operating on the glacier (Supporting Information; see also Senese et al, 2014).…”
Section: Methodsmentioning
confidence: 99%
“…Snow melt is primarily controlled by AirT and the radiation balance at the surface (Ohmura, 2001). Melting is further influenced by the refreezing of meltwater within the snowpack and the percolation of rain and surface runoff into the snow (Pomeroy and Brun, 2001;Senese et al, 2014). Because point-specific data on radiation, precipitation, snow density and albedo are usually lacking, only very simple models are suitable to quantify the snow melt in high-alpine terrains.…”
Section: Approximation Of Smrs and Maximal Snow Depthsmentioning
confidence: 99%
“…AirT is the proxy of choice since it partly integrates many components of the energy balance and may be extrapolated over distances of 10-100 km with reasonable uncertainty (Tardivo and Berti, 2012;Lang and Braun, 1990). Degree-day and energy balance approaches approximating snow melt have been developed and successfully applied in hydrological modelling (Hock, 2003;Lehning et al, 2006;Martinec, 1960) and glacier mass balance studies (Braithwaite and Zhang, 2000;Pellicciotti et al, 2005;Senese et al, 2014). However, the absolute accuracy of such a degree-day model is limited due to simplifications (e.g.…”
Section: Approximation Of Smrs and Maximal Snow Depthsmentioning
confidence: 99%
“…The albedo for clean ice and snow was set to 0.26, and 0.75, as from Vuillermoz et al [70]. T th is an air temperature threshold (−5 • C here as from data analysis, see [71]). The snow height (HS) data collected at Pyramid during 2003-2012 were used to initially calibrate the snow melt factors, TMF s and RMF s .…”
Section: Ice and Snow Ablation And Accumulationmentioning
confidence: 99%