2026-04-05T15:02:13Zhttp://doidb.wdc-terra.org/oaip/oai

oai:doidb.wdc-terra.org:73472023-02-08T19:06:29ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.3.3.2021.007 Wetterauer, Katharina Katharina Wetterauer 0000-0002-2937-5856 GFZ German Research Centre for Geosciences, Potsdam, Germany Scherler, Dirk Dirk Scherler 0000-0003-3911-2803 GFZ German Research Centre for Geosciences, Potsdam, Germany Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany Anderson, Leif S. Leif S. Anderson 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 Hella Wittmann 0000-0002-1252-7059 GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2022 Alpine glaciers medial moraines cosmogenic 10Be grain size headwall erosion rates supraglacial debris EARTH SCIENCE > LAND SURFACE > EROSION/SEDIMENTATION > EROSION EARTH SCIENCE > SOLID EARTH > GEOCHEMISTRY > GEOCHEMICAL PROPERTIES > CHEMICAL CONCENTRATIONS EARTH SCIENCE > SOLID EARTH > GEOCHEMISTRY > GEOCHEMICAL PROPERTIES > ISOTOPES EARTH SCIENCE > SOLID EARTH > GEOMORPHIC LANDFORMS/PROCESSES > GLACIAL LANDFORMS > MORAINES > MEDIAL MORAINE Wetterauer, Katharina GFZ German Research Centre for Geosciences, Potsdam, Germany Scherler, Dirk GFZ German Research Centre for Geosciences, Potsdam, Germany; Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany Wetterauer, Katharina GFZ German Research Centre for Geosciences, Potsdam, Germany Scherler, Dirk GFZ German Research Centre for Geosciences, Potsdam, Germany; Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany Dataset 10.1002/esp.5386 10.1016/j.quageo.2007.12.001 10.1016/j.quageo.2015.01.009 10.5194/tc-9-2135-2015 http://www.tectonics.caltech.edu 10.1016/j.nimb.2012.04.030 10.1016/S0169-555X(98)00086-5 https://instaar.colorado.edu/uploads/occasional-papers/OP55_glaciers.pdf 10.1038/s41561-019-0300-3 10.1657/1938-4246-46.4.933 10.18750/lengthchange.2019.r2019 10.18750/massbalance.2019.r2019 10.18750/volumechange.2019.r2019 https://www.glamos.ch 10.3189/S0022143000034067 10.1098/rspa.1955.0066 10.1191/0959683605hl853ra 10.3189/172756500781833016 10.1016/j.jhydrol.2009.09.021 10.1017/S0022143000015604 10.1016/0012-821X(91)90220-C 10.1109/TGRS.2006.888937 10.5069/G9445JDF 10.3189/S0022143000033967 10.1098/rspa.1957.0026 10.1016/j.rse.2008.05.018 10.5194/esurf-2-1-2014 https://www.slf.ch/de/index.html 10.1029/2000JB900181 https://map.geo.admin.ch 10.1029/2003JF000049 CC BY 4.0 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).
The data were collected as part of the project “COLD”, which investigates the Climate Sensitivity of Glacial Landscape Dynamics with a focus on the European Alps. This research receives funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program under grant agreement 759639.
Study area Glacier d'Otemma, Switzerland 7.41592 7.49763 45.9313 45.9847 H2020 European Research Council http://doi.org/10.13039/100010663 759639 Project: “COLD - Climate Sensitivity of Glacial Landscape Dynamics”