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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Published in:Fennia – International Journal of Geography
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:
geo
Online Access:https://doi.org/10.11143/46363
https://doaj.org/article/b4c7c7a47e8a453da14cf11a12cccb2c
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:b4c7c7a47e8a453da14cf11a12cccb2c 2023-05-15T13:03:28+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 2015-03-01 https://doi.org/10.11143/46363 https://doaj.org/article/b4c7c7a47e8a453da14cf11a12cccb2c en eng Geographical Society of Finland doi:10.11143/46363 1798-5617 https://doaj.org/article/b4c7c7a47e8a453da14cf11a12cccb2c undefined Fennia: International Journal of Geography, Vol 193, Iss 1, Pp 53-65 (2015) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2015 fttriple https://doi.org/10.11143/46363 2023-01-22T18:55:29Z 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 Unknown Yamal Peninsula ENVELOPE(69.873,69.873,70.816,70.816) Fennia – International Journal of Geography
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
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 geo
envir
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://doi.org/10.11143/46363
https://doaj.org/article/b4c7c7a47e8a453da14cf11a12cccb2c
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, Pp 53-65 (2015)
op_relation doi:10.11143/46363
1798-5617
https://doaj.org/article/b4c7c7a47e8a453da14cf11a12cccb2c
op_rights undefined
op_doi https://doi.org/10.11143/46363
container_title Fennia – International Journal of Geography
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