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Discussion papers
https://doi.org/10.5194/essd-2018-158
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2018-158
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 02 Jan 2019

Research article | 02 Jan 2019

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This discussion paper is a preprint. A revision of the manuscript for further review has not been submitted.

Snow cover variability across glaciers in Nordenskiöldland (Svalbard) from point measurements in 2014–2016

Marco Möller1,2,3 and Rebecca Möller3,4 Marco Möller and Rebecca Möller
  • 1Institute of Geography, University of Bremen, Bremen, Germany
  • 2Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany
  • 3Department of Geography, RWTH Aachen University, Aachen, Germany
  • 4Geological Institute, Energy and Minerals Resources Group, RWTH Aachen University, Aachen, Germany

Abstract. 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 with decreasing distance towards the east coast of Nordenskiöldland is also evident, but shows distinct interannual variability. Snow density does not show any characteristic spatial pattern.

Marco Möller and Rebecca Möller
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Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Interactive discussion
Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Marco Möller and Rebecca Möller
Data sets

Snow cover data across Nordenskiöldland, Svalbard, from point measurements during 2014-2016 M. Möller and R. Möller https://doi.pangaea.de/10.1594/PANGAEA.896581

Marco Möller and Rebecca Möller
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Latest update: 25 May 2019
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Short summary
Snow water equivalents (SWE) are useful for calibration and validation of different snow cover-related modeling efforts (e.g. glacier mass balance or snow drift). They form a measure of snow accumulation better than snow depth as they are independent of density differences and thus comparable. A dataset is presented which provides point data of snow depth and density measurements as well as of calculated SWE from 109 locations on glaciers in the central region of the Arctic archipelago Svalbard.
Snow water equivalents (SWE) are useful for calibration and validation of different snow...
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