4.6 Article

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

期刊

HYDROLOGICAL PROCESSES
卷 23, 期 14, 页码 1961-1972

出版社

WILEY
DOI: 10.1002/hyp.7328

关键词

snow water equivalent; estimation; validation; fieldwork; minimal model

资金

  1. EC [SST4-CT-2004-012257]

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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.

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