Articles | Volume 25, issue 6
Hydrol. Earth Syst. Sci., 25, 3017–3040, 2021
https://doi.org/10.5194/hess-25-3017-2021
Hydrol. Earth Syst. Sci., 25, 3017–3040, 2021
https://doi.org/10.5194/hess-25-3017-2021

Research article 04 Jun 2021

Research article | 04 Jun 2021

Investigating ANN architectures and training to estimate snow water equivalent from snow depth

Konstantin F. F. Ntokas et al.

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Short summary
This article shows a conversion model of snow depth into snow water equivalent (SWE) using an ensemble of artificial neural networks. The novelty is a direct estimation of SWE and the improvement of the estimation by in-depth analysis of network structures. The usage of an ensemble allows a probabilistic estimation and, therefore, a deeper insight. It is a follow-up study of a similar study over Quebec but extends it to the whole area of Canada and improves it further.