Snow cover data across Nordenskiöldland, Svalbard, from point measurements during 2014-2016 ...

Snow depths and bulk densities of the annual snow layer were measured at 69 different locations on glaciers across Nordenskiöldland, Svalbard, during the spring seasons of the period 2014–2016. Sampling locations lie along nine transects extending over 17 individual glaciers. Several of the location...

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Bibliographic Details
Main Authors: Möller, Marco, Möller, Rebecca
Format: Dataset
Language:English
Published: PANGAEA 2018
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.896581
https://doi.pangaea.de/10.1594/PANGAEA.896581
id ftdatacite:10.1594/pangaea.896581
record_format openpolar
spelling ftdatacite:10.1594/pangaea.896581 2024-09-15T18:07:56+00:00 Snow cover data across Nordenskiöldland, Svalbard, from point measurements during 2014-2016 ... Möller, Marco Möller, Rebecca 2018 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.896581 https://doi.pangaea.de/10.1594/PANGAEA.896581 en eng PANGAEA https://dx.doi.org/10.5194/essd-2018-158 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Event label Latitude of event Longitude of event Elevation of event DATE/TIME Number Randolph Glacier Inventory 6.0, glacier ID Snow thickness Snow thickness, uncertainty Density, snow Density, snow, uncertainty Snow water equivalent Snow water equivalent, uncertainty Flag Ice measurement dataset Supplementary Dataset Dataset 2018 ftdatacite https://doi.org/10.1594/pangaea.89658110.5194/essd-2018-158 2024-08-01T10:58:30Z Snow depths and bulk densities of the annual snow layer were measured at 69 different locations on glaciers across Nordenskiöldland, Svalbard, during the spring seasons of the period 2014–2016. Sampling locations lie along nine transects extending over 17 individual glaciers. Several of the locations were visited repeatedly, leading to a total of 109 point measurements, on which we report in this study. Snow water equivalents were calculated for each point measurement. In the dataset, snow depth and density measurements are accompanied by appropriate uncertainties which are rigorously transferred to the calculated snow water equivalents using a straightforward Monte Carlo simulation-style procedure. The final dataset can be downloaded from the Pangaea data repository (https://www.pangaea.de; https://doi.org/10.1594/PANGAEA.896581). Snow cover data indicate a general and statistically significant increase of snow depths and water equivalents with terrain elevation. A significant increase of both quantities ... : Supplement to: Möller, Marco; Möller, Rebecca (2019): Snow cover variability across glaciers in Nordenskiöldland (Svalbard) from point measurements in 2014–2016. Earth System Science Data Discussions ... Dataset glacier Svalbard DataCite
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language English
topic Event label
Latitude of event
Longitude of event
Elevation of event
DATE/TIME
Number
Randolph Glacier Inventory 6.0, glacier ID
Snow thickness
Snow thickness, uncertainty
Density, snow
Density, snow, uncertainty
Snow water equivalent
Snow water equivalent, uncertainty
Flag
Ice measurement
spellingShingle Event label
Latitude of event
Longitude of event
Elevation of event
DATE/TIME
Number
Randolph Glacier Inventory 6.0, glacier ID
Snow thickness
Snow thickness, uncertainty
Density, snow
Density, snow, uncertainty
Snow water equivalent
Snow water equivalent, uncertainty
Flag
Ice measurement
Möller, Marco
Möller, Rebecca
Snow cover data across Nordenskiöldland, Svalbard, from point measurements during 2014-2016 ...
topic_facet Event label
Latitude of event
Longitude of event
Elevation of event
DATE/TIME
Number
Randolph Glacier Inventory 6.0, glacier ID
Snow thickness
Snow thickness, uncertainty
Density, snow
Density, snow, uncertainty
Snow water equivalent
Snow water equivalent, uncertainty
Flag
Ice measurement
description Snow depths and bulk densities of the annual snow layer were measured at 69 different locations on glaciers across Nordenskiöldland, Svalbard, during the spring seasons of the period 2014–2016. Sampling locations lie along nine transects extending over 17 individual glaciers. Several of the locations were visited repeatedly, leading to a total of 109 point measurements, on which we report in this study. Snow water equivalents were calculated for each point measurement. In the dataset, snow depth and density measurements are accompanied by appropriate uncertainties which are rigorously transferred to the calculated snow water equivalents using a straightforward Monte Carlo simulation-style procedure. The final dataset can be downloaded from the Pangaea data repository (https://www.pangaea.de; https://doi.org/10.1594/PANGAEA.896581). Snow cover data indicate a general and statistically significant increase of snow depths and water equivalents with terrain elevation. A significant increase of both quantities ... : Supplement to: Möller, Marco; Möller, Rebecca (2019): Snow cover variability across glaciers in Nordenskiöldland (Svalbard) from point measurements in 2014–2016. Earth System Science Data Discussions ...
format Dataset
author Möller, Marco
Möller, Rebecca
author_facet Möller, Marco
Möller, Rebecca
author_sort Möller, Marco
title Snow cover data across Nordenskiöldland, Svalbard, from point measurements during 2014-2016 ...
title_short Snow cover data across Nordenskiöldland, Svalbard, from point measurements during 2014-2016 ...
title_full Snow cover data across Nordenskiöldland, Svalbard, from point measurements during 2014-2016 ...
title_fullStr Snow cover data across Nordenskiöldland, Svalbard, from point measurements during 2014-2016 ...
title_full_unstemmed Snow cover data across Nordenskiöldland, Svalbard, from point measurements during 2014-2016 ...
title_sort snow cover data across nordenskiöldland, svalbard, from point measurements during 2014-2016 ...
publisher PANGAEA
publishDate 2018
url https://dx.doi.org/10.1594/pangaea.896581
https://doi.pangaea.de/10.1594/PANGAEA.896581
genre glacier
Svalbard
genre_facet glacier
Svalbard
op_relation https://dx.doi.org/10.5194/essd-2018-158
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.1594/pangaea.89658110.5194/essd-2018-158
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