FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2913420978> ?p ?o ?g. }

• W2913420978 endingPage "3217" @default.
• W2913420978 startingPage "3189" @default.
• W2913420978 abstract "Abstract. 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−1. 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." @default.
• W2913420978 created "2019-02-21" @default.
• W2913420978 creator A5041073529 @default.
• W2913420978 creator A5047006257 @default.
• W2913420978 creator A5089677249 @default.
• W2913420978 date "2019-08-02" @default.
• W2913420978 modified "2023-10-18" @default.
• W2913420978 title "Characterising spatio-temporal variability in seasonal snow cover at a regional scale from MODIS data: the Clutha Catchment, New Zealand" @default.
• W2913420978 cites W1485504984 @default.
• W2913420978 cites W1970442892 @default.
• W2913420978 cites W1974315971 @default.
• W2913420978 cites W1975047175 @default.
• W2913420978 cites W1975411398 @default.
• W2913420978 cites W1984125303 @default.
• W2913420978 cites W1990226794 @default.
• W2913420978 cites W1998955225 @default.
• W2913420978 cites W1999805514 @default.
• W2913420978 cites W2002604925 @default.
• W2913420978 cites W2006165296 @default.
• W2913420978 cites W2006610445 @default.
• W2913420978 cites W2016354408 @default.
• W2913420978 cites W2016726538 @default.
• W2913420978 cites W2032901371 @default.
• W2913420978 cites W2033854784 @default.
• W2913420978 cites W2051207367 @default.
• W2913420978 cites W2065452149 @default.
• W2913420978 cites W2078120952 @default.
• W2913420978 cites W2078455576 @default.
• W2913420978 cites W2080253159 @default.
• W2913420978 cites W2082122402 @default.
• W2913420978 cites W2083841639 @default.
• W2913420978 cites W2087256543 @default.
• W2913420978 cites W2087837963 @default.
• W2913420978 cites W2092764603 @default.
• W2913420978 cites W2094087960 @default.
• W2913420978 cites W2096842752 @default.
• W2913420978 cites W2098320146 @default.
• W2913420978 cites W2103497845 @default.
• W2913420978 cites W2103794190 @default.
• W2913420978 cites W2116540370 @default.
• W2913420978 cites W2121548934 @default.
• W2913420978 cites W2126744313 @default.
• W2913420978 cites W2138229357 @default.
• W2913420978 cites W2139562884 @default.
• W2913420978 cites W2139709933 @default.
• W2913420978 cites W2143514530 @default.
• W2913420978 cites W2146237914 @default.
• W2913420978 cites W2148186985 @default.
• W2913420978 cites W2154741421 @default.
• W2913420978 cites W2160434086 @default.
• W2913420978 cites W2164453447 @default.
• W2913420978 cites W2272341249 @default.
• W2913420978 cites W2292899687 @default.
• W2913420978 cites W2297289199 @default.
• W2913420978 cites W2345254164 @default.
• W2913420978 cites W2395302273 @default.
• W2913420978 cites W2462309341 @default.
• W2913420978 cites W2466139127 @default.
• W2913420978 cites W2503993098 @default.
• W2913420978 cites W2523386833 @default.
• W2913420978 cites W2613819467 @default.
• W2913420978 cites W2742832110 @default.
• W2913420978 cites W2752852634 @default.
• W2913420978 cites W2755249541 @default.
• W2913420978 cites W2767065960 @default.
• W2913420978 cites W2789708641 @default.
• W2913420978 cites W2793938331 @default.
• W2913420978 cites W2800907055 @default.
• W2913420978 cites W2810503709 @default.
• W2913420978 cites W2857884453 @default.
• W2913420978 cites W2898057761 @default.
• W2913420978 cites W2899922064 @default.
• W2913420978 cites W2902522997 @default.
• W2913420978 cites W2903622289 @default.
• W2913420978 cites W2944964393 @default.
• W2913420978 cites W314265539 @default.
• W2913420978 cites W4248494329 @default.
• W2913420978 doi "https://doi.org/10.5194/hess-23-3189-2019" @default.
• W2913420978 hasPublicationYear "2019" @default.
• W2913420978 type Work @default.
• W2913420978 sameAs 2913420978 @default.
• W2913420978 citedByCount "6" @default.
• W2913420978 countsByYear W29134209782020 @default.
• W2913420978 countsByYear W29134209782021 @default.
• W2913420978 countsByYear W29134209782023 @default.
• W2913420978 crossrefType "journal-article" @default.
• W2913420978 hasAuthorship W2913420978A5041073529 @default.
• W2913420978 hasAuthorship W2913420978A5047006257 @default.
• W2913420978 hasAuthorship W2913420978A5089677249 @default.
• W2913420978 hasBestOaLocation W29134209781 @default.
• W2913420978 hasConcept C100970517 @default.
• W2913420978 hasConcept C105795698 @default.
• W2913420978 hasConcept C107054158 @default.
• W2913420978 hasConcept C121332964 @default.
• W2913420978 hasConcept C126645576 @default.
• W2913420978 hasConcept C127313418 @default.
• W2913420978 hasConcept C12997251 @default.
• W2913420978 hasConcept C153294291 @default.

• next