Hansbreen Snowpit Dataset : over 30-year of detailed snow research on an Arctic glacier
Snow cover is a key element in the water cycle, global heat balance and in the condition of glaciers. Characterised by high temporal and spatial variability, it is subject to short- and long-term changes in climatic conditions. This paper presents a unique dataset of snow measurements on Hansbreen,...
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ftjagiellonuniir:oai:ruj.uj.edu.pl:item/303579 2024-05-12T07:59:27+00:00 Hansbreen Snowpit Dataset : over 30-year of detailed snow research on an Arctic glacier Laska, Michał Luks, Bartłomiej Kępski, Daniel Gądek, Bogdan Głowacki, Piotr Puczko, Dariusz Migała, Krzysztof Nawrot, Adam Pętlicki, Michał 2022 https://ruj.uj.edu.pl/xmlui/handle/item/303579 https://doi.org/10.1038/s41597-022-01767-8 eng eng Scientific Data, T. 9 2052-4463 doi:10.1038/s41597-022-01767-8 https://ruj.uj.edu.pl/xmlui/handle/item/303579 Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa http://creativecommons.org/licenses/by/4.0/legalcode.pl artykuł w czasopiśmie 2022 ftjagiellonuniir https://doi.org/10.1038/s41597-022-01767-8 2024-04-18T23:56:41Z Snow cover is a key element in the water cycle, global heat balance and in the condition of glaciers. Characterised by high temporal and spatial variability, it is subject to short- and long-term changes in climatic conditions. This paper presents a unique dataset of snow measurements on Hansbreen, an Arctic glacier in Svalbard. The dataset includes 79 archived snow profiles performed from 1989 to 2021. It presents all available observations of physical properties for snow cover, such as grain shape and size, hardness, wetness, temperature and density, supplemented with organised metadata. All data has been revised and unified with current protocols and the present International Classification for Seasonal Snow on the Ground, allowing comparison of data from different periods and locations. The information included is essential for estimations of glacier mass balance or snow depth using indirect methods, such as ground-penetrating radar. A wide range of input data makes this dataset valuable to the greater community involved in the study of snow cover evolution and modelling related to glaciology, ecology and hydrology of glacierised areas. Article in Journal/Newspaper Arctic glacier Svalbard Jagiellonian University Repository Arctic Svalbard Hansbreen ENVELOPE(15.650,15.650,77.075,77.075) Scientific Data 9 1 |
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Open Polar |
collection |
Jagiellonian University Repository |
op_collection_id |
ftjagiellonuniir |
language |
English |
description |
Snow cover is a key element in the water cycle, global heat balance and in the condition of glaciers. Characterised by high temporal and spatial variability, it is subject to short- and long-term changes in climatic conditions. This paper presents a unique dataset of snow measurements on Hansbreen, an Arctic glacier in Svalbard. The dataset includes 79 archived snow profiles performed from 1989 to 2021. It presents all available observations of physical properties for snow cover, such as grain shape and size, hardness, wetness, temperature and density, supplemented with organised metadata. All data has been revised and unified with current protocols and the present International Classification for Seasonal Snow on the Ground, allowing comparison of data from different periods and locations. The information included is essential for estimations of glacier mass balance or snow depth using indirect methods, such as ground-penetrating radar. A wide range of input data makes this dataset valuable to the greater community involved in the study of snow cover evolution and modelling related to glaciology, ecology and hydrology of glacierised areas. |
format |
Article in Journal/Newspaper |
author |
Laska, Michał Luks, Bartłomiej Kępski, Daniel Gądek, Bogdan Głowacki, Piotr Puczko, Dariusz Migała, Krzysztof Nawrot, Adam Pętlicki, Michał |
spellingShingle |
Laska, Michał Luks, Bartłomiej Kępski, Daniel Gądek, Bogdan Głowacki, Piotr Puczko, Dariusz Migała, Krzysztof Nawrot, Adam Pętlicki, Michał Hansbreen Snowpit Dataset : over 30-year of detailed snow research on an Arctic glacier |
author_facet |
Laska, Michał Luks, Bartłomiej Kępski, Daniel Gądek, Bogdan Głowacki, Piotr Puczko, Dariusz Migała, Krzysztof Nawrot, Adam Pętlicki, Michał |
author_sort |
Laska, Michał |
title |
Hansbreen Snowpit Dataset : over 30-year of detailed snow research on an Arctic glacier |
title_short |
Hansbreen Snowpit Dataset : over 30-year of detailed snow research on an Arctic glacier |
title_full |
Hansbreen Snowpit Dataset : over 30-year of detailed snow research on an Arctic glacier |
title_fullStr |
Hansbreen Snowpit Dataset : over 30-year of detailed snow research on an Arctic glacier |
title_full_unstemmed |
Hansbreen Snowpit Dataset : over 30-year of detailed snow research on an Arctic glacier |
title_sort |
hansbreen snowpit dataset : over 30-year of detailed snow research on an arctic glacier |
publishDate |
2022 |
url |
https://ruj.uj.edu.pl/xmlui/handle/item/303579 https://doi.org/10.1038/s41597-022-01767-8 |
long_lat |
ENVELOPE(15.650,15.650,77.075,77.075) |
geographic |
Arctic Svalbard Hansbreen |
geographic_facet |
Arctic Svalbard Hansbreen |
genre |
Arctic glacier Svalbard |
genre_facet |
Arctic glacier Svalbard |
op_relation |
Scientific Data, T. 9 2052-4463 doi:10.1038/s41597-022-01767-8 https://ruj.uj.edu.pl/xmlui/handle/item/303579 |
op_rights |
Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa http://creativecommons.org/licenses/by/4.0/legalcode.pl |
op_doi |
https://doi.org/10.1038/s41597-022-01767-8 |
container_title |
Scientific Data |
container_volume |
9 |
container_issue |
1 |
_version_ |
1798840795800797184 |