Snow water equivalent estimation in the Mallero basin using snow gauge data and MODIS images and fieldwork validation

被引:39
作者
Bavera, Davide [1 ,2 ]
De Michele, Carlo [1 ,3 ]
机构
[1] Politecn Milan, Dept Hydraul Environm Rd & Surveying Engn, I-20133 Milan, Italy
[2] European Commiss, DG Joint Res Ctr, Inst Environm & Sustainabil, Land Management & Nat Hazards Unit, Ispra, Italy
[3] Univ N Carolina, Dept Environm Sci & Engn, Chapel Hill, NC USA
关键词
snow water equivalent; estimation; validation; fieldwork; minimal model; SPATIAL-DISTRIBUTION; COVER PRODUCTS; RIVER-BASIN; INTERPOLATION; VARIABILITY; PATTERNS; DENSITY; REGIONS; RUNOFF; DEPTH;
D O I
10.1002/hyp.7328
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Snow accumulation and ablation rule the temporal dynamics of water availability in mountain areas and cold regions. In these environments, the evaluation of the snow water amount is a key issue. The spatial distribution of snow water equivalent (SWE) over a mountain basin at the end of the snow accumulation season is estimated using a minimal statistical model (SWE-SEM). This uses systematic observations such as,round measurements collected at snow guages and snow-covered area (SCA) data retrieved by remote sensors, here MODIS. Firstly, SWE-SEM calculates local SWE estimates at Snow gauges, then the spatial distribution of SWE over a certain area using an interpolation method; linear regressions of the first two order moments of SWE with altitude. The interpolation has been made by both confining and unconfining the spatial domain by SCA. SWE-SEM is applied to the Mallero basin (northern Italy) for calculating the snow Water equivalent at the end of the winter season for 6 years (2001-2007). For 2007, SWE-SEM estimates are validated through fieldwork measurements collected during an 'ad hoc' campaign on March 31, 2007. Show-surveyed measurements are used to check SCA, snow density and SWE estimates. Copyright (C) 2009 John Wiley & Sons, Ltd.
引用
收藏
页码:1961 / 1972
页数:12
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