Articles | Volume 12, issue 7
https://doi.org/10.5194/tc-12-2287-2018
https://doi.org/10.5194/tc-12-2287-2018
Research article
 | 
12 Jul 2018
Research article |  | 12 Jul 2018

A particle filter scheme for multivariate data assimilation into a point-scale snowpack model in an Alpine environment

Gaia Piazzi, Guillaume Thirel, Lorenzo Campo, and Simone Gabellani

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Short summary
The study focuses on the development of a multivariate particle filtering data assimilation scheme into a point-scale snow model. One of the main challenging issues concerns the impoverishment of the particle sample, which is addressed by jointly perturbing meteorological data and model parameters. An additional snow density model is introduced to reduce sensitivity to the availability of snow mass-related observations. In this configuration, the system reveals a satisfying performance.