Exploring snow model parameter sensitivity using Sobol' variance decomposition

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• 作者：Elizabeth S. Houle^a ; Ben Livneh^a ; ^b ; Joseph R. Kasprzyk^a ; ^{joseph.kasprzyk@colorado.edu}
• 关键词：Snow hydrology ; Parameter sensitivity ; Snow modeling ; Snow water equivalent ; Model performance ; Sobol' sensitivity analysis
• 刊名：Environmental Modelling & Software
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：89
• 期：Complete
• 页码：144-158
• 全文大小：3038 K
• 卷排序：89

文摘

Historically-fixed parameters in the VIC snow model can greatly affect SWE simulations. Calibrating the VIC snow model, although not common practice, improves simulated SWE. Greater model complexity was not necessarily associated with higher model performance.