A comparison between two statistical and a physically-based model in snow water equivalent mapping

被引:24
作者
Bavera, D. [1 ,2 ]
Bavay, M. [2 ]
Jonas, T. [2 ]
Lehning, M. [2 ]
De Michele, C. [1 ]
机构
[1] Politecn Milan, DICA, I-20133 Milan, Italy
[2] WSL Inst Snow & Avalanche Res SLF, CH-7260 Davos, Switzerland
基金
瑞士国家科学基金会;
关键词
Snow water equivalent; Physical model; Statistical model; Comparison; RIVER-BASIN; SPATIAL-DISTRIBUTION; COVER PRODUCTS; CLIMATE-CHANGE; ALPINE; MODIS; INTERPOLATION; BALANCE; RUNOFF; VARIABILITY;
D O I
10.1016/j.advwatres.2013.11.011
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 water equivalent (SWE) estimates at the end of the winter season have been compared for the 2002-2006 period in a 200 km(2) mountainous area in Switzerland, using three different models. The first model, ALPINE3D, is a physically based process-oriented model, which solves the snowpack energy and mass balance equations. The other two models, SWE-SEM and HS-SWE, are statistical algorithms interpolating snow data on a grid. While SWE-SEM interpolates local estimates of SWE, HS-SWE converts interpolated snow depth maps into maps of SWE using a regionally-calibrated conversion model. We discuss similarities and differences among the models' results, both in terms of total volume, and spatial distribution of SWE. The comparison shows a general good agreement of the results of the three models, with a mean difference in the total volumes between the two statistical models of similar to 8%, and between the physical model and the statistical ones of similar to-3% to -10%. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:167 / 178
页数:12
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