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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Main Authors: Yury A. Dvornikov, Artem V. Khomutov, Damir R. Mullanurov, Ksenia A. Ermokhina, Anatoly A. Gubarkov, Marina O. Leibman
Format: Article in Journal/Newspaper
Language:English
Published: Geographical Society of Finland 2015
Subjects:
GIS
Online Access:https://doaj.org/article/9d2e1cc4c2c34f8892411bac2edba200
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spelling 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
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