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CONCLUSION<br />

The comparison of <strong>the</strong> GEOtop SWE results with MODIS snow extent maps shows a fairly<br />

good agreement. The problems of <strong>the</strong> model are mainly due to uncertainties about <strong>the</strong> distribution<br />

of <strong>the</strong> meteorological forcing in space <strong>an</strong>d time, <strong>as</strong> only me<strong>as</strong>urements in some points are<br />

available. Only total precipitation is me<strong>as</strong>ured, <strong>an</strong>d a criterion b<strong>as</strong>ed on two thresholds on <strong>the</strong> air<br />

temperature h<strong>as</strong> been used to distinguish solid <strong>an</strong>d liquid precipitation. However, threshold values<br />

a little higher th<strong>an</strong> <strong>the</strong> values found in literature were needed to reproduce <strong>the</strong> snow cover at <strong>the</strong><br />

bottom of <strong>the</strong> valley. An hourly varying lapse rate w<strong>as</strong> inferred by <strong>the</strong> temperature me<strong>as</strong>urements,<br />

<strong>an</strong>d w<strong>as</strong> used <strong>as</strong> input data for <strong>the</strong> model.<br />

Though characterized by some commission errors, MODIS maps c<strong>an</strong> be valuable tools to<br />

validate distributed models. However, images of finer resolution <strong>an</strong>d more frequent overp<strong>as</strong>sing<br />

time would be better tools.<br />

With <strong>the</strong> results of <strong>the</strong> model we investigated <strong>the</strong> relationship between SWE <strong>an</strong>d elevation <strong>an</strong>d<br />

<strong>as</strong>pect in different se<strong>as</strong>ons. It h<strong>as</strong> been shown that <strong>the</strong> dependence of SWE on elevation is more or<br />

less linear, but tends to be weaker in autumn <strong>an</strong>d stronger in spring. Moreover, differential melting<br />

in north <strong>an</strong>d south facing slopes occurs all through <strong>the</strong> winter at lower elevation (approximately<br />

below 800 m a.s.l.), where<strong>as</strong> it is present only in autumn <strong>an</strong>d in spring at <strong>the</strong> higher elevations.<br />

However, <strong>the</strong>se relations should be verified in o<strong>the</strong>r applications to different <strong>an</strong>d wider b<strong>as</strong>ins.<br />

ACKNOWLEDGEMENT<br />

We th<strong>an</strong>k prof. John Albertson who supported <strong>the</strong> visit of <strong>the</strong> first author at <strong>the</strong> Department of<br />

Civil <strong>an</strong>d Environmental Engineering of Duke University, <strong>an</strong>d Joseph Tom<strong>as</strong>i who corrected a<br />

first version of <strong>the</strong> m<strong>an</strong>uscript.<br />

REFERENCES<br />

Alfnes E, Andre<strong>as</strong>sen LM, Engeset RV, Skaugen T, Udnaes HC. 2004. Temporal variability in<br />

snow distribution. Annals of Glaciology 38: 101-105.<br />

Anderson EA. 1976. A point energy <strong>an</strong>d m<strong>as</strong>s bal<strong>an</strong>ce model of a snow cover. Office of<br />

Hydrology National Wea<strong>the</strong>r Service.<br />

Bertoldi G, Rigon R, Over TM. 2006. Impact of Watershed Geomorphic Characteristics on <strong>the</strong><br />

Energy <strong>an</strong>d Water Budgets. Accepted to Journal of Hydrometeorology.<br />

Brutsaert W. 2004. On a derivable formula for long-wave radiation from clear sky. Water<br />

Resources Research 11: 742-744.<br />

Businger JA, Wyngaard JC, Izumi Y, Bradley EF. 2004. Flux-profile relationship in <strong>the</strong><br />

atmospheric surface layer. Journal of Atmospheric Sciences 28: 181-189.<br />

Carroll T, Cline D, Olheiser C, Rost A, Nilsson A, Fall G, Bovitz C, Li L. 2006. NOAA’s national<br />

snow <strong>an</strong>alyses. Paper presented at <strong>the</strong> 74 th Annual Meeting of <strong>the</strong> Western <strong>Snow</strong> Conference<br />

2006.<br />

Cazorzi F, Dalla Font<strong>an</strong>a G. 1996. <strong>Snow</strong>melt modeling by combining air temperature <strong>an</strong>d a<br />

distributed radiation index. Journal of Hydrology 181: 169-187.<br />

Cline DW, Bales CB, Dozier J. Estimating <strong>the</strong> spatial distribution of snow in mountain b<strong>as</strong>ins<br />

using remote sensing <strong>an</strong>d energy bal<strong>an</strong>ce modeling. Water Resources Research 34(5): 1275-<br />

1285.<br />

Cline D, Elder K, Bales R. 1998. Scale effects in a distributed snow water equivalence <strong>an</strong>d snow<br />

melt model for mountain b<strong>as</strong>ins. Hydrological Processes 12: 1527-1536.<br />

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