Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 23, issue 8
Articles | Volume 23, issue 8
https://doi.org/10.5194/hess-23-3189-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-3189-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 8
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, Pascal Sirguey, and Nicolas J. Cullen

Viewed

Total article views: 4,638 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,085 1,448 105 4,638 258 122 134
  • HTML: 3,085
  • PDF: 1,448
  • XML: 105
  • Total: 4,638
  • Supplement: 258
  • BibTeX: 122
  • EndNote: 134
Views and downloads (calculated since 25 Jan 2019)
Cumulative views and downloads (calculated since 25 Jan 2019)

Viewed (geographical distribution)

Total article views: 4,638 (including HTML, PDF, and XML) Thereof 3,891 with geography defined and 747 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 27 Nov 2025
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.
Read more
Share