GIS and field data-based modelling of snow water equivalent in shrub tundra
An approach for snow water equivalent (SWE) modelling in tundra environments has been developed for the test area on the Yamal peninsula. Detailed mapping of snow cover is very important for tundra areas under continuous permafrost conditions, because the snow cover affects the active layer thicknes...
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| Format: | Article |
| Language: | English |
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Geographical Society of Finland
2015-05-01
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| Series: | Fennia: International Journal of Geography |
| Subjects: | |
| Online Access: | https://fennia.journal.fi/article/view/46363 |
| _version_ | 1828474523897298944 |
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| author | Yury A. Dvornikov Artem V. Khomutov Damir R. Mullanurov Ksenia A. Ermokhina Anatoly A. Gubarkov Marina O. Leibman |
| author_facet | Yury A. Dvornikov Artem V. Khomutov Damir R. Mullanurov Ksenia A. Ermokhina Anatoly A. Gubarkov Marina O. Leibman |
| author_sort | Yury A. Dvornikov |
| collection | DOAJ |
| description | An approach for snow water equivalent (SWE) modelling in tundra environments has been developed for the test area on the Yamal peninsula. Detailed mapping of snow cover is very important for tundra areas under continuous permafrost conditions, because the snow cover affects the active layer thickness (ALT) and the ground temperature, acting as a heat-insulating agent. The information concerning snow cover with specific regime of accumulation can support studies of ground temperature distribution and other permafrost related aspects. Special attention has been given to the presence of shrubs and microtopography, specifically ravines in a modelling approach. The methodology is based on statistical analysis of snow survey data and on GIS- (Geographical Information System) analysis of a range of parameters: topography, wind, and shrub vegetation. The topography significantly controls snow cover redistribution. This influence can be expressed as increase of snow depth on concave and decrease on convex surfaces. Specifically, snow depth was related to curvature in the study area with a correlation of R=0.83. An index is used to distinguish windward and leeward slopes in order to explain wind redistribution of snow. It is calculated from aspect data retrieved from a digital elevation model (obtained by field survey). It can be shown that shrub vegetation can serve as a ‘trap’ for wind-blown snow but is not a limiting factor for maximum snow depth, since the snow depth can be higher or lower than shrub height dependent on other factors. |
| first_indexed | 2024-12-11T06:01:46Z |
| format | Article |
| id | doaj.art-9d2e1cc4c2c34f8892411bac2edba200 |
| institution | Directory Open Access Journal |
| issn | 1798-5617 |
| language | English |
| last_indexed | 2024-12-11T06:01:46Z |
| publishDate | 2015-05-01 |
| publisher | Geographical Society of Finland |
| record_format | Article |
| series | Fennia: International Journal of Geography |
| spelling | doaj.art-9d2e1cc4c2c34f8892411bac2edba2002022-12-22T01:18:27ZengGeographical Society of FinlandFennia: International Journal of Geography1798-56172015-05-011931GIS and field data-based modelling of snow water equivalent in shrub tundraYury A. Dvornikov0Artem V. Khomutov1Damir R. Mullanurov2Ksenia A. Ermokhina3Anatoly A. Gubarkov4Marina O. Leibman5Earth Cryosphere Institute SB RASEarth Cryosphere Institute SB RASEarth Cryosphere Institute SB RASEarth Cryosphere Institute SB RASTumen State Oil and Gas UniversityEarth Cryosphere Institute SB RAS Tumen State Oil and Gas UniversityAn approach for snow water equivalent (SWE) modelling in tundra environments has been developed for the test area on the Yamal peninsula. Detailed mapping of snow cover is very important for tundra areas under continuous permafrost conditions, because the snow cover affects the active layer thickness (ALT) and the ground temperature, acting as a heat-insulating agent. The information concerning snow cover with specific regime of accumulation can support studies of ground temperature distribution and other permafrost related aspects. Special attention has been given to the presence of shrubs and microtopography, specifically ravines in a modelling approach. The methodology is based on statistical analysis of snow survey data and on GIS- (Geographical Information System) analysis of a range of parameters: topography, wind, and shrub vegetation. The topography significantly controls snow cover redistribution. This influence can be expressed as increase of snow depth on concave and decrease on convex surfaces. Specifically, snow depth was related to curvature in the study area with a correlation of R=0.83. An index is used to distinguish windward and leeward slopes in order to explain wind redistribution of snow. It is calculated from aspect data retrieved from a digital elevation model (obtained by field survey). It can be shown that shrub vegetation can serve as a ‘trap’ for wind-blown snow but is not a limiting factor for maximum snow depth, since the snow depth can be higher or lower than shrub height dependent on other factors.https://fennia.journal.fi/article/view/46363Snow water equivalentGISmodellingtopographysnow survey |
| spellingShingle | Yury A. Dvornikov Artem V. Khomutov Damir R. Mullanurov Ksenia A. Ermokhina Anatoly A. Gubarkov Marina O. Leibman GIS and field data-based modelling of snow water equivalent in shrub tundra Fennia: International Journal of Geography Snow water equivalent GIS modelling topography snow survey |
| title | GIS and field data-based modelling of snow water equivalent in shrub tundra |
| title_full | GIS and field data-based modelling of snow water equivalent in shrub tundra |
| title_fullStr | GIS and field data-based modelling of snow water equivalent in shrub tundra |
| title_full_unstemmed | GIS and field data-based modelling of snow water equivalent in shrub tundra |
| title_short | GIS and field data-based modelling of snow water equivalent in shrub tundra |
| title_sort | gis and field data based modelling of snow water equivalent in shrub tundra |
| topic | Snow water equivalent GIS modelling topography snow survey |
| url | https://fennia.journal.fi/article/view/46363 |
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