Dataset

Sample and Modelling Data for Cosmogenic 10Be in Medial Moraine Debris of Glacier d’Otemma, Switzerland

Wetterauer, Katharina; Scherler, Dirk; Anderson, Leif S.; Wittmann, Hella;

2022 || GFZ Data Services

This data publication is supplementary to the study on headwall erosion rates at Glacier d'Otemma in Switzerland, by Wetterauer et al. (2022). Debris on glacier surfaces stems from steep bedrock hillslopes that tower above the ice, so-called headwalls. Recently, rock walls in high-alpine glacial environments experience increased destabilization due to climate warming. Since supraglacial debris alters the melt behaviour of the ice underneath, increased headwall erosion and debris delivery to glacier surfaces will modify glacial mass balances. Therefore, we expect that the response of glaciers to climate change is likely linked to how headwall erosion responds to climate change.

As headwall debris is deposited on the ice surface of valley glaciers it is passively transported downglacier, both supra- and englacially. Where two glaciers join, debris along their margins is merged to form medial moraines. Since medial moraine debris tends to be older downglacier, systematic downglacier-sampling of medial moraine debris and the measurement of in situ-produced cosmogenic 10Be concentrations ([10Be]) hold the potential to assess long-term (>10^2-10^4 yrs) headwall erosion rates through time. However, to obtain the cosmogenic signals of headwall erosion, [10Be] within supraglacial debris need to be corrected for glacial transport time, as cosmogenic nuclides continue to accumulate during exposure and transport. This additional 10Be accumulation during debris transport can be accounted for by simple downglacier debris trajectory modelling. Providing our 10Be dataset together with detailed information on our 1-D modelling approach is the main objective of this data publication.

The data is presented as one single xlsx-file with three different tables. A detailed description of the sample processing and the debris trajectory model are provided in the data description file of this data publication. For more information see our study Wetterauer et al. (2022).

Originally assigned keywords

Corresponding MSL vocabulary keywords

MSL enriched keywords

MSL enriched sub domains	microscopy and tomography
Source	http://dx.doi.org/10.5880/gfz.3.3.2021.007
Source publisher	GFZ Data Services
DOI	10.5880/gfz.3.3.2021.007
Authors	Wetterauer, Katharina 0000-0002-2937-5856 GFZ German Research Centre for Geosciences, Potsdam, Germany; Scherler, Dirk 0000-0003-3911-2803 GFZ German Research Centre for Geosciences, Potsdam, Germany; Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany; Anderson, Leif S. 0000-0003-3134-1775 GFZ German Research Centre for Geosciences, Potsdam, Germany; Institute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland; Department of Geology and Geophysics, University of Utah, Salt Lake City, United States; Wittmann, Hella 0000-0002-1252-7059 GFZ German Research Centre for Geosciences, Potsdam, Germany;
Contributors	Wetterauer, Katharina ContactPerson GFZ German Research Centre for Geosciences, Potsdam, Germany; Scherler, Dirk ContactPerson GFZ German Research Centre for Geosciences, Potsdam, Germany; Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany; Wetterauer, Katharina ContactPerson GFZ German Research Centre for Geosciences, Potsdam, Germany; Scherler, Dirk ContactPerson GFZ German Research Centre for Geosciences, Potsdam, Germany; Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany;
References	Wetterauer, K., Scherler, D., Anderson, L. S., & Wittmann, H. (2022). Temporal evolution of headwall erosion rates derived from cosmogenic nuclide concentrations in the medial moraines of Glacier d’Otemma, Switzerland. Earth Surface Processes and Landforms, 47(10), 2437–2454. Portico. https://doi.org/10.1002/esp.5386 10.1002/esp.5386 IsSupplementTo Balco, G., Stone, J. O., Lifton, N. A., & Dunai, T. J. (2008). A complete and easily accessible means of calculating surface exposure ages or erosion rates from 10Be and 26Al measurements. Quaternary Geochronology, 3(3), 174–195. https://doi.org/10.1016/j.quageo.2007.12.001 10.1016/j.quageo.2007.12.001 Cites Borchers, B., Marrero, S., Balco, G., Caffee, M., Goehring, B., Lifton, N., Nishiizumi, K., Phillips, F., Schaefer, J., & Stone, J. (2016). Geological calibration of spallation production rates in the CRONUS-Earth project. Quaternary Geochronology, 31, 188–198. https://doi.org/10.1016/j.quageo.2015.01.009 10.1016/j.quageo.2015.01.009 Cites Braithwaite, R. J. (2015). From Doktor Kurowski’s Schneegrenze to our modern glacier equilibrium line altitude (ELA). The Cryosphere, 9(6), 2135–2148. https://doi.org/10.5194/tc-9-2135-2015 10.5194/tc-9-2135-2015 Cites Cites Dewald, A., Heinze, S., Jolie, J., Zilges, A., Dunai, T., Rethemeyer, J., Melles, M., Staubwasser, M., Kuczewski, B., Richter, J., Radtke, U., von Blanckenburg, F., & Klein, M. (2013). CologneAMS, a dedicated center for accelerator mass spectrometry in Germany. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 294, 18–23. https://doi.org/10.1016/j.nimb.2012.04.030 10.1016/j.nimb.2012.04.030 Cites Dunne, J., Elmore, D., & Muzikar, P. (1999). Scaling factors for the rates of production of cosmogenic nuclides for geometric shielding and attenuation at depth on sloped surfaces. Geomorphology, 27(1–2), 3–11. https://doi.org/10.1016/s0169-555x(98)00086-5 10.1016/S0169-555X(98)00086-5 Cites Cites Farinotti, D., Huss, M., Fürst, J. J., Landmann, J., Machguth, H., Maussion, F., & Pandit, A. (2019). A consensus estimate for the ice thickness distribution of all glaciers on Earth. Nature Geoscience, 12(3), 168–173. https://doi.org/10.1038/s41561-019-0300-3 10.1038/s41561-019-0300-3 Cites Fischer, M., Huss, M., Barboux, C., & Hoelzle, M. (2014). The New Swiss Glacier Inventory SGI2010: Relevance of Using High-Resolution Source Data in Areas Dominated by Very Small Glaciers. Arctic, Antarctic, and Alpine Research, 46(4), 933–945. https://doi.org/10.1657/1938-4246-46.4.933 10.1657/1938-4246-46.4.933 Cites GLAMOS-Glacier Monitoring Switzerland. (2019). Swiss Glacier Length Change (release 2019) [Data set]. GLAMOS - Glacier Monitoring Switzerland; Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zürich, Switzerland; Department of Geosciences, University of Fribourg, Switzerland; Department of Geography, University of Zürich, Switzerland. https://doi.org/10.18750/LENGTHCHANGE.2019.R2019 10.18750/lengthchange.2019.r2019 Cites GLAMOS-Glacier Monitoring Switzerland. (2019). Swiss Glacier Mass Balance (release 2019) [Data set]. GLAMOS - Glacier Monitoring Switzerland; Laboratory of Hydraulics, Hydrology and Glaciology (VAW), Swiss Federal Institute of Technology Zurich (ETH Zurich); Department of Geosciences, University of Fribourg, Switzerland; Department of Geography, University of Zürich, Switzerland. https://doi.org/10.18750/MASSBALANCE.2019.R2019 10.18750/massbalance.2019.r2019 Cites GLAMOS-Glacier Monitoring Switzerland. (2019). Swiss Glacier Volume Change (release 2019) [Data set]. GLAMOS - Glacier Monitoring Switzerland; Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zürich, Switzerland; Department of Geosciences, University of Fribourg, Switzerland; Department of Geography, University of Zürich, Switzerland. https://doi.org/10.18750/VOLUMECHANGE.2019.R2019 10.18750/volumechange.2019.r2019 Cites Cites Glen, J. W. (1952). Experiments on the Deformation of Ice. Journal of Glaciology, 2(12), 111–114. https://doi.org/10.3189/s0022143000034067 10.3189/S0022143000034067 Cites The creep of polycrystalline ice. (1955). Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences, 228(1175), 519–538. https://doi.org/10.1098/rspa.1955.0066 10.1098/rspa.1955.0066 Cites Holzhauser, H., Magny, M., & Zumbuühl, H. J. (2005). Glacier and lake-level variations in west-central Europe over the last 3500 years. The Holocene, 15(6), 789–801. https://doi.org/10.1191/0959683605hl853ra 10.1191/0959683605hl853ra Cites Hubbard, A., Willis, I., Sharp, M., Mair, D., Nienow, P., Hubbard, B., & Blatter, H. (2000). Glacier mass-balance determination by remote sensing and high-resolution modelling. Journal of Glaciology, 46(154), 491–498. https://doi.org/10.3189/172756500781833016 10.3189/172756500781833016 Cites Jonas, T., Marty, C., & Magnusson, J. (2009). Estimating the snow water equivalent from snow depth measurements in the Swiss Alps. Journal of Hydrology, 378(1–2), 161–167. https://doi.org/10.1016/j.jhydrol.2009.09.021 10.1016/j.jhydrol.2009.09.021 Cites
Contact	Scherler, Dirk GFZ German Research Centre for Geosciences, Potsdam, Germany; Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany; Scherler, Dirk GFZ German Research Centre for Geosciences, Potsdam, Germany; Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany; Scherler, Dirk GFZ German Research Centre for Geosciences, Potsdam, Germany; Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany; Scherler, Dirk GFZ German Research Centre for Geosciences, Potsdam, Germany; Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany;
Citation	Wetterauer, K., Scherler, D., Anderson, L. S., & Wittmann, H. (2022). Sample and Modelling Data for Cosmogenic 10Be in Medial Moraine Debris of Glacier d’Otemma, Switzerland [Data set]. GFZ Data Services. https://doi.org/10.5880/GFZ.3.3.2021.007
Geo location(s)	Study area Glacier d'Otemma, Switzerland
Spatial coordinates	eLong 7.49763 nLat 45.9847 sLat 45.9313 wLong 7.41592