Publication year: 2010 Source: Advances in Water Resources, In Press, Accepted Manuscript, Available online 10 December 2010 Hua, Su , Zong-Liang, Yang , Guo-Yue, Niu , Clark R., Wilson Estimating erroneous parameters in ensemble based snow data assimilation system has been given little attention in the literature. Little is known about the related methods’ effectiveness, performance, and sensitivity to other error sources such as model structural error.

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Parameter estimation in ensemble based snow data assimilation: a synthetic study

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