Articles | Volume 11, issue 5
https://doi.org/10.5194/tc-11-2329-2017
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, Bodo Bookhagen, and Aljoscha Rheinwalt

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Latest update: 03 Mar 2024
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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.