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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Geographical Society of Finland
2015
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ftdoajarticles:oai:doaj.org/article:9d2e1cc4c2c34f8892411bac2edba200 2023-05-15T13:03:30+02:00 GIS and field data-based modelling of snow water equivalent in shrub tundra Yury A. Dvornikov Artem V. Khomutov Damir R. Mullanurov Ksenia A. Ermokhina Anatoly A. Gubarkov Marina O. Leibman 2015-05-01T00:00:00Z https://doaj.org/article/9d2e1cc4c2c34f8892411bac2edba200 EN eng Geographical Society of Finland https://fennia.journal.fi/article/view/46363 https://doaj.org/toc/1798-5617 1798-5617 https://doaj.org/article/9d2e1cc4c2c34f8892411bac2edba200 Fennia: International Journal of Geography, Vol 193, Iss 1 (2015) Snow water equivalent GIS modelling topography snow survey Geography (General) G1-922 article 2015 ftdoajarticles 2022-12-31T01:27:44Z 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. Article in Journal/Newspaper Active layer thickness permafrost Tundra Yamal Peninsula Directory of Open Access Journals: DOAJ Articles Yamal Peninsula ENVELOPE(69.873,69.873,70.816,70.816) |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Snow water equivalent GIS modelling topography snow survey Geography (General) G1-922 |
spellingShingle |
Snow water equivalent GIS modelling topography snow survey Geography (General) G1-922 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 |
topic_facet |
Snow water equivalent GIS modelling topography snow survey Geography (General) G1-922 |
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. |
format |
Article in Journal/Newspaper |
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 |
title |
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_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_sort |
gis and field data-based modelling of snow water equivalent in shrub tundra |
publisher |
Geographical Society of Finland |
publishDate |
2015 |
url |
https://doaj.org/article/9d2e1cc4c2c34f8892411bac2edba200 |
long_lat |
ENVELOPE(69.873,69.873,70.816,70.816) |
geographic |
Yamal Peninsula |
geographic_facet |
Yamal Peninsula |
genre |
Active layer thickness permafrost Tundra Yamal Peninsula |
genre_facet |
Active layer thickness permafrost Tundra Yamal Peninsula |
op_source |
Fennia: International Journal of Geography, Vol 193, Iss 1 (2015) |
op_relation |
https://fennia.journal.fi/article/view/46363 https://doaj.org/toc/1798-5617 1798-5617 https://doaj.org/article/9d2e1cc4c2c34f8892411bac2edba200 |
_version_ |
1766338204293660672 |