Hansbreen Snowpit Dataset : over 30-year of detailed snow research on an Arctic glacier

2022
journal article
article
3
cris.lastimport.wos2024-04-09T20:54:41Z
dc.abstract.enSnow 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.pl
dc.affiliationWydział Geografii i Geologii : Instytut Geografii i Gospodarki Przestrzennejpl
dc.contributor.authorLaska, Michałpl
dc.contributor.authorLuks, Bartłomiejpl
dc.contributor.authorKępski, Danielpl
dc.contributor.authorGądek, Bogdanpl
dc.contributor.authorGłowacki, Piotrpl
dc.contributor.authorPuczko, Dariuszpl
dc.contributor.authorMigała, Krzysztofpl
dc.contributor.authorNawrot, Adampl
dc.contributor.authorPętlicki, Michał - 463549 pl
dc.date.accessioned2022-11-10T09:21:32Z
dc.date.available2022-11-10T09:21:32Z
dc.date.issued2022pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalBibliogr.pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume9pl
dc.identifier.articleid656pl
dc.identifier.doi10.1038/s41597-022-01767-8pl
dc.identifier.eissn2052-4463pl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/303579
dc.languageengpl
dc.language.containerengpl
dc.pbn.affiliationDziedzina nauk ścisłych i przyrodniczych : nauki o Ziemi i środowiskupl
dc.rightsUdzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa*
dc.rights.licenceCC-BY
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/legalcode.pl*
dc.share.typeotwarte czasopismo
dc.subtypeArticlepl
dc.titleHansbreen Snowpit Dataset : over 30-year of detailed snow research on an Arctic glacierpl
dc.title.journalScientific Datapl
dc.typeJournalArticlepl
dspace.entity.typePublication
cris.lastimport.wos
2024-04-09T20:54:41Z
dc.abstract.enpl
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.
dc.affiliationpl
Wydział Geografii i Geologii : Instytut Geografii i Gospodarki Przestrzennej
dc.contributor.authorpl
Laska, Michał
dc.contributor.authorpl
Luks, Bartłomiej
dc.contributor.authorpl
Kępski, Daniel
dc.contributor.authorpl
Gądek, Bogdan
dc.contributor.authorpl
Głowacki, Piotr
dc.contributor.authorpl
Puczko, Dariusz
dc.contributor.authorpl
Migała, Krzysztof
dc.contributor.authorpl
Nawrot, Adam
dc.contributor.authorpl
Pętlicki, Michał - 463549
dc.date.accessioned
2022-11-10T09:21:32Z
dc.date.available
2022-11-10T09:21:32Z
dc.date.issuedpl
2022
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additionalpl
Bibliogr.
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
9
dc.identifier.articleidpl
656
dc.identifier.doipl
10.1038/s41597-022-01767-8
dc.identifier.eissnpl
2052-4463
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/303579
dc.languagepl
eng
dc.language.containerpl
eng
dc.pbn.affiliationpl
Dziedzina nauk ścisłych i przyrodniczych : nauki o Ziemi i środowisku
dc.rights*
Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa
dc.rights.licence
CC-BY
dc.rights.uri*
http://creativecommons.org/licenses/by/4.0/legalcode.pl
dc.share.type
otwarte czasopismo
dc.subtypepl
Article
dc.titlepl
Hansbreen Snowpit Dataset : over 30-year of detailed snow research on an Arctic glacier
dc.title.journalpl
Scientific Data
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations

* The migration of download and view statistics prior to the date of April 8, 2024 is in progress.

Views
2
Views per month
Downloads
petlicki_et-al_hansbreen_snowpit_dataset_2022.pdf
20