Articles | Volume 14, issue 3
https://doi.org/10.5194/tc-14-935-2020
https://doi.org/10.5194/tc-14-935-2020
Research article
 | 
12 Mar 2020
Research article |  | 12 Mar 2020

Use of Sentinel-1 radar observations to evaluate snowmelt dynamics in alpine regions

Carlo Marin, Giacomo Bertoldi, Valentina Premier, Mattia Callegari, Christian Brida, Kerstin Hürkamp, Jochen Tschiersch, Marc Zebisch, and Claudia Notarnicola

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Interactive discussion

Status: closed
Status: closed
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
ED: Publish subject to revisions (further review by editor and referees) (06 Jan 2020) by Chris Derksen
AR by Carlo Marin on behalf of the Authors (22 Jan 2020)  Author's response   Manuscript 
ED: Publish subject to revisions (further review by editor and referees) (23 Jan 2020) by Chris Derksen
ED: Publish subject to revisions (further review by editor and referees) (24 Jan 2020) by Chris Derksen
ED: Referee Nomination & Report Request started (27 Jan 2020) by Chris Derksen
RR by Anonymous Referee #1 (06 Feb 2020)
ED: Publish subject to technical corrections (07 Feb 2020) by Chris Derksen
AR by Carlo Marin on behalf of the Authors (07 Feb 2020)  Author's response   Manuscript 
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Short summary
In this paper, we use for the first time the synthetic aperture radar (SAR) time series acquired by Sentinel-1 to monitor snowmelt dynamics in alpine regions. We found that the multitemporal SAR allows the identification of the three phases that characterize the melting process, i.e., moistening, ripening and runoff, in a spatial distributed way. We believe that the presented investigation could have relevant applications for monitoring and predicting the snowmelt progress over large regions.