High resolution snow distribution data from complex Arctic terrain: a tool for model validation
Blowing snow and snow drifts are common features in the Arctic. Due to sparse vegetation, low temperatures and high wind speeds, the snow is constantly moving. This causes severe problems for transportation and infrastructure in the affected areas. To minimise the effect of drifting snow already in...
Main Authors: | , |
---|---|
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2002
|
Subjects: | |
Online Access: | https://doaj.org/article/5b8ee4eb165b4f6682af8aad468918bb |
id |
ftdoajarticles:oai:doaj.org/article:5b8ee4eb165b4f6682af8aad468918bb |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:5b8ee4eb165b4f6682af8aad468918bb 2023-05-15T14:54:45+02:00 High resolution snow distribution data from complex Arctic terrain: a tool for model validation Ch. Jaedicke A. D. Sandvik 2002-01-01T00:00:00Z https://doaj.org/article/5b8ee4eb165b4f6682af8aad468918bb EN eng Copernicus Publications http://www.nat-hazards-earth-syst-sci.net/2/147/2002/nhess-2-147-2002.pdf https://doaj.org/toc/1561-8633 https://doaj.org/toc/1684-9981 1561-8633 1684-9981 https://doaj.org/article/5b8ee4eb165b4f6682af8aad468918bb Natural Hazards and Earth System Sciences, Vol 2, Iss 3/4, Pp 147-155 (2002) Environmental technology. Sanitary engineering TD1-1066 Geography. Anthropology. Recreation G Environmental sciences GE1-350 Geology QE1-996.5 article 2002 ftdoajarticles 2022-12-31T12:48:45Z Blowing snow and snow drifts are common features in the Arctic. Due to sparse vegetation, low temperatures and high wind speeds, the snow is constantly moving. This causes severe problems for transportation and infrastructure in the affected areas. To minimise the effect of drifting snow already in the designing phase of new structures, adequate models have to be developed and tested. In this study, snow distribution in Arctic topography is surveyed in two study areas during the spring of 1999 and 2000. Snow depth is measured by ground penetrating radar and manual methods. The study areas encompass four by four kilometres and are partly glaciated. The results of the surveys show a clear pattern of erosion, accumulation areas and the evolution of the snow cover over time. This high resolution data set is valuable for the validation of numerical models. A simple numerical snow drift model was used to simulate the measured snow distribution in one of the areas for the winter of 1998/1999. The model is a two-level drift model coupled to the wind field, generated by a mesoscale meteorological model. The simulations are based on five wind fields from the dominating wind directions. The model produces a satisfying snow distribution but fails to reproduce the details of the observed snow cover. The results clearly demonstrate the importance of quality field data to detect and analyse errors in numerical simulations. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental technology. Sanitary engineering TD1-1066 Geography. Anthropology. Recreation G Environmental sciences GE1-350 Geology QE1-996.5 |
spellingShingle |
Environmental technology. Sanitary engineering TD1-1066 Geography. Anthropology. Recreation G Environmental sciences GE1-350 Geology QE1-996.5 Ch. Jaedicke A. D. Sandvik High resolution snow distribution data from complex Arctic terrain: a tool for model validation |
topic_facet |
Environmental technology. Sanitary engineering TD1-1066 Geography. Anthropology. Recreation G Environmental sciences GE1-350 Geology QE1-996.5 |
description |
Blowing snow and snow drifts are common features in the Arctic. Due to sparse vegetation, low temperatures and high wind speeds, the snow is constantly moving. This causes severe problems for transportation and infrastructure in the affected areas. To minimise the effect of drifting snow already in the designing phase of new structures, adequate models have to be developed and tested. In this study, snow distribution in Arctic topography is surveyed in two study areas during the spring of 1999 and 2000. Snow depth is measured by ground penetrating radar and manual methods. The study areas encompass four by four kilometres and are partly glaciated. The results of the surveys show a clear pattern of erosion, accumulation areas and the evolution of the snow cover over time. This high resolution data set is valuable for the validation of numerical models. A simple numerical snow drift model was used to simulate the measured snow distribution in one of the areas for the winter of 1998/1999. The model is a two-level drift model coupled to the wind field, generated by a mesoscale meteorological model. The simulations are based on five wind fields from the dominating wind directions. The model produces a satisfying snow distribution but fails to reproduce the details of the observed snow cover. The results clearly demonstrate the importance of quality field data to detect and analyse errors in numerical simulations. |
format |
Article in Journal/Newspaper |
author |
Ch. Jaedicke A. D. Sandvik |
author_facet |
Ch. Jaedicke A. D. Sandvik |
author_sort |
Ch. Jaedicke |
title |
High resolution snow distribution data from complex Arctic terrain: a tool for model validation |
title_short |
High resolution snow distribution data from complex Arctic terrain: a tool for model validation |
title_full |
High resolution snow distribution data from complex Arctic terrain: a tool for model validation |
title_fullStr |
High resolution snow distribution data from complex Arctic terrain: a tool for model validation |
title_full_unstemmed |
High resolution snow distribution data from complex Arctic terrain: a tool for model validation |
title_sort |
high resolution snow distribution data from complex arctic terrain: a tool for model validation |
publisher |
Copernicus Publications |
publishDate |
2002 |
url |
https://doaj.org/article/5b8ee4eb165b4f6682af8aad468918bb |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Natural Hazards and Earth System Sciences, Vol 2, Iss 3/4, Pp 147-155 (2002) |
op_relation |
http://www.nat-hazards-earth-syst-sci.net/2/147/2002/nhess-2-147-2002.pdf https://doaj.org/toc/1561-8633 https://doaj.org/toc/1684-9981 1561-8633 1684-9981 https://doaj.org/article/5b8ee4eb165b4f6682af8aad468918bb |
_version_ |
1766326511783116800 |