Avalanche occurrences in Norway deduced from meteorological data

Avalanche formation depends on terrain characteristics, snowpack, and meteorological conditions. Of these, meteorological parameters, such as temperature, precipitation, and wind, strongly influence the possibility of a catastrophe in an avalanche-prone area. One-fourth of Norway´s public roads are...

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Main Authors: Bandyopadhyay, D., Graversen, R., Marinoni, A.
Format: Conference Object
Language:English
Published: 2023
Subjects:
Online Access:https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021684
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spelling ftgfzpotsdam:oai:gfzpublic.gfz-potsdam.de:item_5021684 2023-07-30T04:06:07+02:00 Avalanche occurrences in Norway deduced from meteorological data Bandyopadhyay, D. Graversen, R. Marinoni, A. 2023-07-11 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021684 eng eng info:eu-repo/semantics/altIdentifier/doi/10.57757/IUGG23-4247 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021684 XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) info:eu-repo/semantics/conferenceObject 2023 ftgfzpotsdam https://doi.org/10.57757/IUGG23-4247 2023-07-16T23:40:25Z Avalanche formation depends on terrain characteristics, snowpack, and meteorological conditions. Of these, meteorological parameters, such as temperature, precipitation, and wind, strongly influence the possibility of a catastrophe in an avalanche-prone area. One-fourth of Norway´s public roads are exposed to the risk of avalanches; hence, the Norwegian Meteorological Institute (MET Norway) produces daily warnings on a scale of 1-5, 5 being the maximum danger level of risk of avalanche activity. The warnings are restricted to the winter period, i.e. December, January, February, March, and April. In this study, we identify the regions in Norway with high avalanche warnings (warning >= 4, named the `avalanche day´) based on the MET warnings. Four regions in Norway, namely Ofoten, Salten, Svartisen, and Hegeland, observed maximum avalanches (>= 35) between Dec 2017 and April 2022.The two conditions that drive the instability of the snowpack are (i) loose snow and (ii) slab avalanches. In particular, wet snow instances and persistent weak layers in the snowpack of slab avalanches are responsible for most avalanches in these four regions. To understand the impact of meteorological variables on these avalanches, we utilise the long-term observational gridded datasets (1 km resolution) from MET Norway. Over the last five years (Dec 2017- April 2022), during the winter months, the daily mean temperature analysis shows an increase three days before the `avalanche day´, but the accumulated precipitation increases by 12.5% a day before the event. Future work entails analysing long-term climate data for avalanche monitoring and prediction studies. Conference Object Ofoten Svartisen GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) Norway Ofoten ENVELOPE(16.378,16.378,68.029,68.029) Svartisen ENVELOPE(13.698,13.698,66.642,66.642)
institution Open Polar
collection GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)
op_collection_id ftgfzpotsdam
language English
description Avalanche formation depends on terrain characteristics, snowpack, and meteorological conditions. Of these, meteorological parameters, such as temperature, precipitation, and wind, strongly influence the possibility of a catastrophe in an avalanche-prone area. One-fourth of Norway´s public roads are exposed to the risk of avalanches; hence, the Norwegian Meteorological Institute (MET Norway) produces daily warnings on a scale of 1-5, 5 being the maximum danger level of risk of avalanche activity. The warnings are restricted to the winter period, i.e. December, January, February, March, and April. In this study, we identify the regions in Norway with high avalanche warnings (warning >= 4, named the `avalanche day´) based on the MET warnings. Four regions in Norway, namely Ofoten, Salten, Svartisen, and Hegeland, observed maximum avalanches (>= 35) between Dec 2017 and April 2022.The two conditions that drive the instability of the snowpack are (i) loose snow and (ii) slab avalanches. In particular, wet snow instances and persistent weak layers in the snowpack of slab avalanches are responsible for most avalanches in these four regions. To understand the impact of meteorological variables on these avalanches, we utilise the long-term observational gridded datasets (1 km resolution) from MET Norway. Over the last five years (Dec 2017- April 2022), during the winter months, the daily mean temperature analysis shows an increase three days before the `avalanche day´, but the accumulated precipitation increases by 12.5% a day before the event. Future work entails analysing long-term climate data for avalanche monitoring and prediction studies.
format Conference Object
author Bandyopadhyay, D.
Graversen, R.
Marinoni, A.
spellingShingle Bandyopadhyay, D.
Graversen, R.
Marinoni, A.
Avalanche occurrences in Norway deduced from meteorological data
author_facet Bandyopadhyay, D.
Graversen, R.
Marinoni, A.
author_sort Bandyopadhyay, D.
title Avalanche occurrences in Norway deduced from meteorological data
title_short Avalanche occurrences in Norway deduced from meteorological data
title_full Avalanche occurrences in Norway deduced from meteorological data
title_fullStr Avalanche occurrences in Norway deduced from meteorological data
title_full_unstemmed Avalanche occurrences in Norway deduced from meteorological data
title_sort avalanche occurrences in norway deduced from meteorological data
publishDate 2023
url https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021684
long_lat ENVELOPE(16.378,16.378,68.029,68.029)
ENVELOPE(13.698,13.698,66.642,66.642)
geographic Norway
Ofoten
Svartisen
geographic_facet Norway
Ofoten
Svartisen
genre Ofoten
Svartisen
genre_facet Ofoten
Svartisen
op_source XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
op_relation info:eu-repo/semantics/altIdentifier/doi/10.57757/IUGG23-4247
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021684
op_doi https://doi.org/10.57757/IUGG23-4247
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