Articles | Volume 12, issue 1
https://doi.org/10.5194/tc-12-247-2018
https://doi.org/10.5194/tc-12-247-2018
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, Sebastian Westermann, Thomas Vikhamar Schuler, Julia Boike, and Laurent Bertino

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Status: closed
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Kristoffer Aalstad on behalf of the Authors (24 Oct 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (02 Nov 2017) by Marie Dumont
RR by Anonymous Referee #1 (18 Nov 2017)
ED: Publish subject to minor revisions (review by editor) (21 Nov 2017) by Marie Dumont
AR by Kristoffer Aalstad on behalf of the Authors (01 Dec 2017)  Author's response   Manuscript 
ED: Publish as is (12 Dec 2017) by Marie Dumont
AR by Kristoffer Aalstad on behalf of the Authors (14 Dec 2017)
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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.