NEEM to EGRIP traverse - density and δ¹⁸O of the surface snow (2 m profiles) ...

Along a traverse through North Greenland in May 2015 we collected snow cores up to 2 m depth and analyzed their density and water isotopic composition. A new sampling technique and an adapted algorithm for comparing data sets from different sites and aligning stratigraphic features are presented. We...

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Main Authors: Schaller, Christoph Florian, Freitag, Johannes, Kipfstuhl, Sepp, Laepple, Thomas, Steen-Larsen, Hans Christian, Eisen, Olaf
Format: Article in Journal/Newspaper
Language:English
Published: PANGAEA 2016
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.867875
https://doi.pangaea.de/10.1594/PANGAEA.867875
id ftdatacite:10.1594/pangaea.867875
record_format openpolar
spelling ftdatacite:10.1594/pangaea.867875 2024-09-15T18:04:20+00:00 NEEM to EGRIP traverse - density and δ¹⁸O of the surface snow (2 m profiles) ... Schaller, Christoph Florian Freitag, Johannes Kipfstuhl, Sepp Laepple, Thomas Steen-Larsen, Hans Christian Eisen, Olaf 2016 application/zip https://dx.doi.org/10.1594/pangaea.867875 https://doi.pangaea.de/10.1594/PANGAEA.867875 en eng PANGAEA https://dx.doi.org/10.5194/tc-10-1991-2016 Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 East Greenland Ice-core Project EGRIP North Greenland Eemian Ice Drilling NEEM article Collection Supplementary Publication Series of Datasets 2016 ftdatacite https://doi.org/10.1594/pangaea.86787510.5194/tc-10-1991-2016 2024-08-01T11:01:20Z Along a traverse through North Greenland in May 2015 we collected snow cores up to 2 m depth and analyzed their density and water isotopic composition. A new sampling technique and an adapted algorithm for comparing data sets from different sites and aligning stratigraphic features are presented. We find good agreement of the density layering in the snowpack over hundreds of kilometers, which allows the construction of a representative density profile. The results are supported by an empirical statistical density model, which is used to generate sets of random profiles and validate the applied methods. Furthermore we are able to calculate annual accumulation rates, align melt layers and observe isotopic temperatures in the area back to 2010. Distinct relations of d18O with both accumulation rate and density are deduced. Inter alia the depths of the 2012 melt layers and high-resolution densities are provided for applications in remote sensing. ... : Supplement to: Schaller, Christoph Florian; Freitag, Johannes; Kipfstuhl, Sepp; Laepple, Thomas; Steen-Larsen, Hans Christian; Eisen, Olaf (2016): A representative density profile of the North Greenland snowpack. The Cryosphere, 10(5), 1991-2002 ... Article in Journal/Newspaper East Greenland East Greenland Ice-core Project Greenland Greenland ice core Greenland Ice core Project ice core North Greenland DataCite
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language English
topic East Greenland Ice-core Project EGRIP
North Greenland Eemian Ice Drilling NEEM
spellingShingle East Greenland Ice-core Project EGRIP
North Greenland Eemian Ice Drilling NEEM
Schaller, Christoph Florian
Freitag, Johannes
Kipfstuhl, Sepp
Laepple, Thomas
Steen-Larsen, Hans Christian
Eisen, Olaf
NEEM to EGRIP traverse - density and δ¹⁸O of the surface snow (2 m profiles) ...
topic_facet East Greenland Ice-core Project EGRIP
North Greenland Eemian Ice Drilling NEEM
description Along a traverse through North Greenland in May 2015 we collected snow cores up to 2 m depth and analyzed their density and water isotopic composition. A new sampling technique and an adapted algorithm for comparing data sets from different sites and aligning stratigraphic features are presented. We find good agreement of the density layering in the snowpack over hundreds of kilometers, which allows the construction of a representative density profile. The results are supported by an empirical statistical density model, which is used to generate sets of random profiles and validate the applied methods. Furthermore we are able to calculate annual accumulation rates, align melt layers and observe isotopic temperatures in the area back to 2010. Distinct relations of d18O with both accumulation rate and density are deduced. Inter alia the depths of the 2012 melt layers and high-resolution densities are provided for applications in remote sensing. ... : Supplement to: Schaller, Christoph Florian; Freitag, Johannes; Kipfstuhl, Sepp; Laepple, Thomas; Steen-Larsen, Hans Christian; Eisen, Olaf (2016): A representative density profile of the North Greenland snowpack. The Cryosphere, 10(5), 1991-2002 ...
format Article in Journal/Newspaper
author Schaller, Christoph Florian
Freitag, Johannes
Kipfstuhl, Sepp
Laepple, Thomas
Steen-Larsen, Hans Christian
Eisen, Olaf
author_facet Schaller, Christoph Florian
Freitag, Johannes
Kipfstuhl, Sepp
Laepple, Thomas
Steen-Larsen, Hans Christian
Eisen, Olaf
author_sort Schaller, Christoph Florian
title NEEM to EGRIP traverse - density and δ¹⁸O of the surface snow (2 m profiles) ...
title_short NEEM to EGRIP traverse - density and δ¹⁸O of the surface snow (2 m profiles) ...
title_full NEEM to EGRIP traverse - density and δ¹⁸O of the surface snow (2 m profiles) ...
title_fullStr NEEM to EGRIP traverse - density and δ¹⁸O of the surface snow (2 m profiles) ...
title_full_unstemmed NEEM to EGRIP traverse - density and δ¹⁸O of the surface snow (2 m profiles) ...
title_sort neem to egrip traverse - density and δ¹⁸o of the surface snow (2 m profiles) ...
publisher PANGAEA
publishDate 2016
url https://dx.doi.org/10.1594/pangaea.867875
https://doi.pangaea.de/10.1594/PANGAEA.867875
genre East Greenland
East Greenland Ice-core Project
Greenland
Greenland ice core
Greenland Ice core Project
ice core
North Greenland
genre_facet East Greenland
East Greenland Ice-core Project
Greenland
Greenland ice core
Greenland Ice core Project
ice core
North Greenland
op_relation https://dx.doi.org/10.5194/tc-10-1991-2016
op_rights Creative Commons Attribution 3.0 Unported
https://creativecommons.org/licenses/by/3.0/legalcode
cc-by-3.0
op_doi https://doi.org/10.1594/pangaea.86787510.5194/tc-10-1991-2016
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