Articles | Volume 11, issue 5
The Cryosphere, 11, 2329–2343, 2017
https://doi.org/10.5194/tc-11-2329-2017
The Cryosphere, 11, 2329–2343, 2017
https://doi.org/10.5194/tc-11-2329-2017

Research article 06 Oct 2017

Research article | 06 Oct 2017

Spatiotemporal patterns of High Mountain Asia's snowmelt season identified with an automated snowmelt detection algorithm, 1987–2016

Taylor Smith 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
AR by Taylor Smith on behalf of the Authors (13 Jul 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (14 Jul 2017) by Ross Brown
RR by Anonymous Referee #1 (25 Jul 2017)
RR by Anonymous Referee #2 (26 Jul 2017)
RR by Anonymous Referee #3 (27 Jul 2017)
ED: Publish subject to minor revisions (Editor review) (04 Aug 2017) by Ross Brown
AR by Taylor Smith on behalf of the Authors (18 Aug 2017)  Author's response    Manuscript
ED: Publish as is (05 Sep 2017) by Ross Brown
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Short summary
High Mountain Asia’s rivers, which serve more than a billion people, receive a significant portion of their water budget in the form of snow. We develop an algorithm to track timing of the snowmelt season using passive microwave data from 1987 to 2016. We find that most of High Mountain Asia has experienced shorter melt seasons, earlier snow clearance, and earlier snowmelt onset, but that these changes are highly spatially and temporally heterogeneous.