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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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HESS | Articles | Volume 23, issue 8
Hydrol. Earth Syst. Sci., 23, 3189–3217, 2019
https://doi.org/10.5194/hess-23-3189-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 23, 3189–3217, 2019
https://doi.org/10.5194/hess-23-3189-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

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.

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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
ED: Publish subject to revisions (further review by editor and referees) (18 Jun 2019) by Markus Hrachowitz
AR by Todd Redpath on behalf of the Authors (18 Jun 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (19 Jun 2019) by Markus Hrachowitz
RR by Markus Hrachowitz (19 Jun 2019)
ED: Publish as is (19 Jun 2019) by Markus Hrachowitz
AR by Todd Redpath on behalf of the Authors (20 Jun 2019)  Author's response    Manuscript
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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.
Spatio-temporal variability of seasonal snow cover is characterised from 16 years of MODIS data...
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