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.

Viewed

Total article views: 2,935 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,666 1,161 108 2,935 380 78 118
  • HTML: 1,666
  • PDF: 1,161
  • XML: 108
  • Total: 2,935
  • Supplement: 380
  • BibTeX: 78
  • EndNote: 118
Views and downloads (calculated since 04 May 2017)
Cumulative views and downloads (calculated since 04 May 2017)

Viewed (geographical distribution)

Total article views: 2,754 (including HTML, PDF, and XML) Thereof 2,738 with geography defined and 16 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 Aug 2022
Download
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.