DOI: 10.5194/hess-23-3189-2019
论文题名: Characterising spatio-temporal variability in seasonal snow cover at a regional scale from MODIS data: the Clutha Catchment; New Zealand
作者: Redpath T.A.N. ; Sirguey P. ; Cullen N.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2019
卷: 23, 期: 8 起始页码: 3189
结束页码: 3217
语种: 英语
Scopus关键词: Catchments
; Principal component analysis
; Radiometers
; Runoff
; Atmospheric controls
; Atmospheric process
; Precipitation variability
; Seasonal snow cover
; Snow cover durations
; Spatial and temporal variability
; Spatiotemporal variability
; Topographic control
; Snow
; catchment
; climatology
; complexity
; energy balance
; MODIS
; satellite data
; snow cover
; spatiotemporal analysis
; topography
; New Zealand
英文摘要: A 16-year series of daily snow-covered area (SCA) for 2000-2016 is derived from MODIS imagery to produce a regional-scale snow cover climatology for New Zealand's largest catchment, the Clutha Catchment. Filling a geographic gap in observations of seasonal snow, this record provides a basis for understanding spatio-temporal variability in seasonal snow cover and, combined with climatic data, provides insight into controls on variability. Seasonal snow cover metrics including daily SCA, mean snow cover duration (SCD), annual SCD anomaly and daily snowline elevation (SLE) were derived and assessed for temporal trends. Modes of spatial variability were characterised, whilst also preserving temporal signals by applying raster principal component analysis (rPCA) to maps of annual SCD anomaly. Sensitivity of SCD to temperature and precipitation variability was assessed in a semi-distributed way for mountain ranges across the catchment. The influence of anomalous winter air flow, as characterised by HYSPLIT back-trajectories, on SCD variability was also assessed. On average, SCA peaks in late June, at around 30 % of the catchment area, with 10 % of the catchment area sustaining snow cover for 120 d yr. A persistent mid-winter reduction in SCA, prior to a second peak in August, is attributed to the prevalence of winter blocking highs in the New Zealand region. In contrast to other regions globally, no significant decrease in SCD was observed, but substantial spatial and temporal variability was present. rPCA identified six distinct modes of spatial variability, characterising 77 % of the observed variability in SCD. This analysis of SCD anomalies revealed strong spatio-temporal variability beyond that associated with topographic controls, which can result in snow cover conditions being out of phase across the catchment. Furthermore, it is demonstrated that the sensitivity of SCD to temperature and precipitation variability varies significantly across the catchment. While two large-scale climate modes, the SOI and SAM, fail to explain observed variability, specific spatial modes of SCD are favoured by anomalous airflow from the NE, E and SE. These findings illustrate the complexity of atmospheric controls on SCD within the catchment and support the need to incorporate atmospheric processes that govern variability of the energy balance, as well as the re-distribution of snow by wind in order to improve the modelling of future changes in seasonal snow. © 2019 Copernicus GmbH. All rights reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162926
Appears in Collections: 气候变化与战略
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作者单位: Redpath, T.A.N., National School of Surveying, University of Otago, P.O. Box 56, Dunedin, New Zealand, Department of Geography, University of Otago, P.O. Box 56, Dunedin, New Zealand; Sirguey, P., National School of Surveying, University of Otago, P.O. Box 56, Dunedin, New Zealand; Cullen, N., Department of Geography, University of Otago, P.O. Box 56, Dunedin, New Zealand
Recommended Citation:
Redpath T.A.N.,Sirguey P.,Cullen N.. Characterising spatio-temporal variability in seasonal snow cover at a regional scale from MODIS data: the Clutha Catchment; New Zealand[J]. Hydrology and Earth System Sciences,2019-01-01,23(8)