Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 23, issue 11
Articles | Volume 23, issue 11
https://doi.org/10.5194/hess-23-4717-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-4717-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 11
Research article
 | 
19 Nov 2019
Research article |  | 19 Nov 2019

Hyper-resolution ensemble-based snow reanalysis in mountain regions using clustering

Joel Fiddes, Kristoffer Aalstad, and Sebastian Westermann

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Short summary
In this paper we address one of the big challenges in snow hydrology, namely the accurate simulation of the seasonal snowpack in ungauged regions. We do this by assimilating satellite observations of snow cover into a modelling framework. Importantly (and a novelty of the paper), we include a clustering approach that permits highly efficient ensemble simulations. Efficiency gains and dependency on purely global datasets, means that this method can be applied over large areas anywhere on Earth.
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