2004
DOI: 10.1029/2003jd003973
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Spatial and temporal variability of meteorological variables at Haut Glacier d'Arolla (Switzerland) during the ablation season 2001: Measurements and simulations

Abstract: [1] During the ablation period 2001 a glaciometeorological experiment was carried out on Haut Glacier d'Arolla, Switzerland. Five meteorological stations were installed on the glacier, and one permanent automatic weather station in the glacier foreland. The altitudes of the stations ranged between 2500 and 3000 m a.s.l., and they were in operation from end of May to beginning of September 2001. The spatial arrangement of the stations and temporal duration of the measurements generated a unique data set enablin… Show more

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Cited by 78 publications
(113 citation statements)
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References 33 publications
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“…Lapse rates were also lower on the glaciers (−7.2 • C km −1 in 2010 and −6.7 • C km −1 in 2011), compared to high-altitude off-glacier weather stations, and close to the standard ambient lapse rate (−6.5 • C km −1 ). Much shallower on-glacier lapse rates and fewer dependency of air temperature on elevation were found by earlier works (e.g., Greuell and Böhm, 1998;Strasser et al, 2004;Petersen et al, 2013). As reported in Table 2, the average daily temperature range and the average standard deviation are largest at the valley floor and both decrease with altitude, reaching their minima over the glaciers as previously reported, for example, by Oerlemans (2001 …”
Section: Seasonal Characteristics Of Temperature Datasupporting
confidence: 74%
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“…Lapse rates were also lower on the glaciers (−7.2 • C km −1 in 2010 and −6.7 • C km −1 in 2011), compared to high-altitude off-glacier weather stations, and close to the standard ambient lapse rate (−6.5 • C km −1 ). Much shallower on-glacier lapse rates and fewer dependency of air temperature on elevation were found by earlier works (e.g., Greuell and Böhm, 1998;Strasser et al, 2004;Petersen et al, 2013). As reported in Table 2, the average daily temperature range and the average standard deviation are largest at the valley floor and both decrease with altitude, reaching their minima over the glaciers as previously reported, for example, by Oerlemans (2001 …”
Section: Seasonal Characteristics Of Temperature Datasupporting
confidence: 74%
“…A peculiar behavior was found at the terminus of La Mare Glacier (Mar-gl_2709), where downglacier winds dominated at night, without a cooling effect, and were replaced by up-glacier winds from mid-morning to late afternoon, when the cooling effect increased sharply. Wind data were not available at Mar-gl_3438 due to instrumentation failure, but we can argue that katabatic winds were not prevalent at this site, which is close to the crest, based on results published for similar locations in previous works (e.g., Greuell et al, 1997;Strasser et al, 2004). Different weather conditions led to a considerable temporal variability of the glacier cooling effect during the two summer seasons of 2010 and 2011 (Fig.…”
Section: The Glacier Cooling Effectmentioning
confidence: 99%
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“…AMUNDSEN has specifically been designed as a scenario-capable model for the application in high-mountain regions, and has been set up and extensively validated for historical conditions in the study site in a recent study (Hanzer et al,5 2016). In the following, the most important model components are briefly discussed -for a more detailed model description, we refer to, e. g., Hanzer et al (2014Hanzer et al ( , 2016, Marke et al (2015), Pellicciotti et al (2005), Strasser (2004Strasser ( , 2008, .…”
Section: Modelmentioning
confidence: 99%
“…Essery and Marks, 2007) The cost of these simplifications inevitably is that any comparison with 'real' melt scenarios or observational data is not possible. However, in order to derive potential melt rates that lie within a realistic range, both melt models are tuned to approximately fit melt rates at selected locations reported by Strasser et al (2004), by slightly adjusting the values for DDF and F r used by Pellicciotti et al (2005) for our case study. All adjusted parameters used in both models are given in Table 1.…”
Section: Enhanced Temperature Index Model -Etimmentioning
confidence: 99%