Articles | Volume 10, issue 3
https://doi.org/10.5194/tc-10-1021-2016
https://doi.org/10.5194/tc-10-1021-2016
Research article
 | 
13 May 2016
Research article |  | 13 May 2016

On the assimilation of optical reflectances and snow depth observations into a detailed snowpack model

Luc Charrois, Emmanuel Cosme, Marie Dumont, Matthieu Lafaysse, Samuel Morin, Quentin Libois, and Ghislain Picard

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Cited articles

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Short summary
This study investigates the assimilation of optical reflectances, snowdepth data and both combined into a multilayer snowpack model. Data assimilation is performed with an ensemble-based method, the Sequential Importance Resampling Particle filter. Experiments assimilating only synthetic data are conducted at one point in the French Alps, the Col du Lautaret, over five hydrological years. Results of the assimilation experiments show improvements of the snowpack bulk variables estimates.
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