Small-scale variation of snow in a regional permafrost model
The strong winds prevalent in high altitude and arctic environments heavily redistribute the snow cover, causing a small-scale pattern of highly variable snow depths. This has profound implications for the ground thermal regime, resulting in highly variable near-surface ground temperatures on the me...
Published in: | The Cryosphere |
---|---|
Main Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2016
|
Subjects: | |
Online Access: | https://doi.org/10.5194/tc-10-1201-2016 https://noa.gwlb.de/receive/cop_mods_00013068 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00013024/tc-10-1201-2016.pdf https://tc.copernicus.org/articles/10/1201/2016/tc-10-1201-2016.pdf |
id |
ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00013068 |
---|---|
record_format |
openpolar |
spelling |
ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00013068 2023-05-15T15:14:21+02:00 Small-scale variation of snow in a regional permafrost model Gisnås, Kjersti Westermann, Sebastian Schuler, Thomas Vikhamar Melvold, Kjetil Etzelmüller, Bernd 2016-06 electronic https://doi.org/10.5194/tc-10-1201-2016 https://noa.gwlb.de/receive/cop_mods_00013068 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00013024/tc-10-1201-2016.pdf https://tc.copernicus.org/articles/10/1201/2016/tc-10-1201-2016.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-10-1201-2016 https://noa.gwlb.de/receive/cop_mods_00013068 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00013024/tc-10-1201-2016.pdf https://tc.copernicus.org/articles/10/1201/2016/tc-10-1201-2016.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2016 ftnonlinearchiv https://doi.org/10.5194/tc-10-1201-2016 2022-02-08T22:55:48Z The strong winds prevalent in high altitude and arctic environments heavily redistribute the snow cover, causing a small-scale pattern of highly variable snow depths. This has profound implications for the ground thermal regime, resulting in highly variable near-surface ground temperatures on the metre scale. Due to asymmetric snow distributions combined with the nonlinear insulating effect of snow, the spatial average ground temperature in a 1 km2 area cannot be determined based on the average snow cover for that area. Land surface or permafrost models employing a coarsely classified average snow depth will therefore not yield a realistic representation of ground temperatures. In this study we employ statistically derived snow distributions within 1 km2 grid cells as input to a regional permafrost model in order to represent sub-grid variability of ground temperatures. This improves the representation of both the average and the total range of ground temperatures. The model reproduces observed sub-grid ground temperature variations of up to 6 °C, and 98 % of borehole observations match the modelled temperature range. The mean modelled temperature of the grid cell reproduces the observations with an accuracy of 1.5 °C or better. The observed sub-grid variations in ground surface temperatures from two field sites are very well reproduced, with estimated fractions of sub-zero mean annual ground surface temperatures within ±10 %. We also find that snow distributions within areas of 1 km2 in Norwegian mountain environments are closer to a gamma than to a lognormal theoretical distribution. The modelled permafrost distribution seems to be more sensitive to the choice of distribution function than to the fine-tuning of the coefficient of variation. When incorporating the small-scale variation of snow, the modelled total permafrost area of mainland Norway is nearly twice as large compared to the area obtained with grid-cell average snow depths without a sub-grid approach. Article in Journal/Newspaper Arctic permafrost The Cryosphere Niedersächsisches Online-Archiv NOA Arctic Norway The Cryosphere 10 3 1201 1215 |
institution |
Open Polar |
collection |
Niedersächsisches Online-Archiv NOA |
op_collection_id |
ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
spellingShingle |
article Verlagsveröffentlichung Gisnås, Kjersti Westermann, Sebastian Schuler, Thomas Vikhamar Melvold, Kjetil Etzelmüller, Bernd Small-scale variation of snow in a regional permafrost model |
topic_facet |
article Verlagsveröffentlichung |
description |
The strong winds prevalent in high altitude and arctic environments heavily redistribute the snow cover, causing a small-scale pattern of highly variable snow depths. This has profound implications for the ground thermal regime, resulting in highly variable near-surface ground temperatures on the metre scale. Due to asymmetric snow distributions combined with the nonlinear insulating effect of snow, the spatial average ground temperature in a 1 km2 area cannot be determined based on the average snow cover for that area. Land surface or permafrost models employing a coarsely classified average snow depth will therefore not yield a realistic representation of ground temperatures. In this study we employ statistically derived snow distributions within 1 km2 grid cells as input to a regional permafrost model in order to represent sub-grid variability of ground temperatures. This improves the representation of both the average and the total range of ground temperatures. The model reproduces observed sub-grid ground temperature variations of up to 6 °C, and 98 % of borehole observations match the modelled temperature range. The mean modelled temperature of the grid cell reproduces the observations with an accuracy of 1.5 °C or better. The observed sub-grid variations in ground surface temperatures from two field sites are very well reproduced, with estimated fractions of sub-zero mean annual ground surface temperatures within ±10 %. We also find that snow distributions within areas of 1 km2 in Norwegian mountain environments are closer to a gamma than to a lognormal theoretical distribution. The modelled permafrost distribution seems to be more sensitive to the choice of distribution function than to the fine-tuning of the coefficient of variation. When incorporating the small-scale variation of snow, the modelled total permafrost area of mainland Norway is nearly twice as large compared to the area obtained with grid-cell average snow depths without a sub-grid approach. |
format |
Article in Journal/Newspaper |
author |
Gisnås, Kjersti Westermann, Sebastian Schuler, Thomas Vikhamar Melvold, Kjetil Etzelmüller, Bernd |
author_facet |
Gisnås, Kjersti Westermann, Sebastian Schuler, Thomas Vikhamar Melvold, Kjetil Etzelmüller, Bernd |
author_sort |
Gisnås, Kjersti |
title |
Small-scale variation of snow in a regional permafrost model |
title_short |
Small-scale variation of snow in a regional permafrost model |
title_full |
Small-scale variation of snow in a regional permafrost model |
title_fullStr |
Small-scale variation of snow in a regional permafrost model |
title_full_unstemmed |
Small-scale variation of snow in a regional permafrost model |
title_sort |
small-scale variation of snow in a regional permafrost model |
publisher |
Copernicus Publications |
publishDate |
2016 |
url |
https://doi.org/10.5194/tc-10-1201-2016 https://noa.gwlb.de/receive/cop_mods_00013068 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00013024/tc-10-1201-2016.pdf https://tc.copernicus.org/articles/10/1201/2016/tc-10-1201-2016.pdf |
geographic |
Arctic Norway |
geographic_facet |
Arctic Norway |
genre |
Arctic permafrost The Cryosphere |
genre_facet |
Arctic permafrost The Cryosphere |
op_relation |
The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-10-1201-2016 https://noa.gwlb.de/receive/cop_mods_00013068 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00013024/tc-10-1201-2016.pdf https://tc.copernicus.org/articles/10/1201/2016/tc-10-1201-2016.pdf |
op_rights |
uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/tc-10-1201-2016 |
container_title |
The Cryosphere |
container_volume |
10 |
container_issue |
3 |
container_start_page |
1201 |
op_container_end_page |
1215 |
_version_ |
1766344816599236608 |