Articles | Volume 23, issue 8
Hydrol. Earth Syst. Sci., 23, 3189–3217, 2019
https://doi.org/10.5194/hess-23-3189-2019
Hydrol. Earth Syst. Sci., 23, 3189–3217, 2019
https://doi.org/10.5194/hess-23-3189-2019
Research article
02 Aug 2019
Research article | 02 Aug 2019

Characterising spatio-temporal variability in seasonal snow cover at a regional scale from MODIS data: the Clutha Catchment, New Zealand

Todd A. N. Redpath et al.

Viewed

Total article views: 2,942 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,830 1,074 38 2,942 167 48 46
  • HTML: 1,830
  • PDF: 1,074
  • XML: 38
  • Total: 2,942
  • Supplement: 167
  • BibTeX: 48
  • EndNote: 46
Views and downloads (calculated since 25 Jan 2019)
Cumulative views and downloads (calculated since 25 Jan 2019)

Viewed (geographical distribution)

Total article views: 2,942 (including HTML, PDF, and XML) Thereof 2,213 with geography defined and 729 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Latest update: 01 Feb 2023
Download
Short summary
Spatio-temporal variability of seasonal snow cover is characterised from 16 years of MODIS data for the Clutha Catchment, New Zealand. No trend was detected in snow-covered area. Spatial modes of variability reveal the role of anomalous winter airflow. The sensitivity of snow cover duration to temperature and precipitation variability is found to vary spatially across the catchment. These findings provide new insight into seasonal snow processes in New Zealand and guidance for modelling efforts.