Estimating the snow water equivalent from snow depth measurements in the Italian Alps
Estimating the snow water equivalent from snow depth measurements in the Italian Alps
复制标题
根据意大利阿尔卑斯山的雪深测量估算雪水当量
DOI：
10.1016/j.coldregions.2019.102859
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发表时间：
2019
影响因子：
4.1
通讯作者：
E. Romano
中科院分区：
文献类型：
--
作者：
N. Guyennon;M. Valt;F. Salerno;A. Petrangeli;E. Romano
雪水当量（SWE）综合了积雪深度（Hs）和积雪容重（ρb）的信息，是雪水文研究和应用以及生态功能或雪崩预报的必要变量。与直接测量或需要由当地气象数据提供的复杂模型的实施相比，从单次测量中估计wewe具有许多优势。在这项研究中，我们提出了一个空间和时间变化的描述theSWE， hsandρ波段比较现有的方法在意大利阿尔卑斯山。最后，我们提出了一个简单的参数化，引入了雪容重变化的非线性。由此产生的总体不确定性为15.6%。所提出的模型有潜力成为一种有价值的工具，可以从意大利阿尔卑斯山脉的唯一测量中估计wef，在季末表现出更好的性能（3月、4月和5月分别为13.9%、12.9%和14.3%），这使得它特别适合雪水文研究。
The Snow Water Equivalent (SWE), combining the information of snow depth (Hs) and snow bulk density (ρb) is a necessary variable for snow-hydrological studies and applications, as well as, for ecological function or avalanche forecasting. TheSWEdirect measurement is challenging, and estimating theSWEfrom the singleHsmeasurements presents many advantages compared to the directSWEmeasurement or the implementation of complex model needing to be fed by local meteorological data. In this study we propose a spatial and temporal variability description of theSWE,Hsandρband compare existing approaches over the Italian Alps. Finally, we propose a simple parametrization, introducing non-linearity in the snow bulk density variability. The resulting overall uncertainty onSWEis 15.6%. The proposed model has the potential to be a valuable tool to estimate theSWEfrom the onlyHSmeasurement in the Italian Alps, presenting even better performances during the late season (13.9%, 12.9% and 14.3% in March, April and May, respectively) that makes it particularly suitable for snow-hydrology studies.