Articles | Volume 14, issue 12
The Cryosphere, 14, 4365–4378, 2020
https://doi.org/10.5194/tc-14-4365-2020
The Cryosphere, 14, 4365–4378, 2020
https://doi.org/10.5194/tc-14-4365-2020

Research article 02 Dec 2020

Research article | 02 Dec 2020

Detecting seasonal ice dynamics in satellite images

Chad A. Greene et al.

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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) (17 Aug 2020) by Etienne Berthier
AR by Chad Greene on behalf of the Authors (17 Aug 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (19 Aug 2020) by Etienne Berthier
RR by Anonymous Referee #1 (04 Sep 2020)
RR by Anonymous Referee #2 (29 Sep 2020)
ED: Publish subject to minor revisions (review by editor) (30 Sep 2020) by Etienne Berthier
AR by Natascha Töpfer on behalf of the Authors (11 Oct 2020)  Author's response
ED: Publish subject to minor revisions (review by editor) (13 Oct 2020) by Etienne Berthier
AR by Svenja Lange on behalf of the Authors (16 Oct 2020)  Author's response
ED: Publish subject to technical corrections (16 Oct 2020) by Etienne Berthier
AR by Chad Greene on behalf of the Authors (16 Oct 2020)  Author's response    Manuscript
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Short summary
Seasonal variability is a fundamental characteristic of any Earth surface system, but we do not fully understand which of the world's glaciers speed up and slow down on an annual cycle. Such short-timescale accelerations may offer clues about how individual glaciers will respond to longer-term changes in climate, but understanding any behavior requires an ability to observe it. We describe how to use satellite image feature tracking to determine the magnitude and timing of seasonal ice dynamics.