Articles | Volume 12, issue 1
The Cryosphere, 12, 247–270, 2018
The Cryosphere, 12, 247–270, 2018
Research article
23 Jan 2018
Research article | 23 Jan 2018

Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites

Kristoffer Aalstad et al.

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Cited articles

Aas, K. S., Gisnås, K., Westermann, S., and Berntsen, T. K.: A Tiling Approach to Represent Subgrid Snow Variability in Coupled Land Surface-Atmosphere Models, J. Hydrometeorol., 18, 49–63,, 2017.
Andreadis, K. M. and Lettenmaier, D. P.: Assimilating remotely sensed snow observations into a macroscale hydrology model, Adv. Water Res., 29, 872–886,, 2006.
Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.: Potential Impacts of a warming climate on water availability in snow-dominated regions, Nature, 438, 303–309,, 2005.
Bartelt, P. and Lehning, M.: A physical SNOWPACK model for the Swiss avalance warning: Part I: numerical model, Cold Reg. Sci. Technol., 35, 123–145,, 2002.
Bertino, L., Evensen, G., and Wackernagel, H.: Sequential Data Assimilation Techniques in Oceanography, Int. Stat. Rev., 71, 223–241,, 2003.
Short summary
We demonstrate how snow cover data from satellites can be used to constrain estimates of snow distributions at sites in the Arctic. In this effort, we make use of data assimilation to combine the information contained in the snow cover data with a simple snow model. By comparing our snow distribution estimates to independent observations, we find that this method performs favorably. Being modular, this method could be applied to other areas as a component of a larger reanalysis system.