A numerical reconstruction of the LGM Rhone Glacier and its ice dynamics

These datasets are part of chapter 4 in: Imhof, M. A., "Combined climate-ice flow modelling of the Alpine Ice Field during the Last Glacial Maximum", 2021, ETH Zurich, dissertation no. 27416, https://doi.org/10.3929/ethz-b-000471073 The datasets are from ice flow modelling experiments that...

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Bibliographic Details
Main Author: Imhof, Michael Andreas
Format: Dataset
Language:unknown
Published: Zenodo 2021
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Online Access:https://dx.doi.org/10.5281/zenodo.4640819
https://zenodo.org/record/4640819
Description
Summary:These datasets are part of chapter 4 in: Imhof, M. A., "Combined climate-ice flow modelling of the Alpine Ice Field during the Last Glacial Maximum", 2021, ETH Zurich, dissertation no. 27416, https://doi.org/10.3929/ethz-b-000471073 The datasets are from ice flow modelling experiments that aimed to reconstruct the Rhone Glacier during the Last Glacial Maximum and how its dynamics and boulder transport evolved. All datasets have a horizontal resolution of 2 km. The filename indicates the model settings that were used for the climate signal [EPICA], lambda [l2km], sliding parameter [C1=1000Paam-1 | C1=300Paam-1], and climate forcing [LGM+PD]. See table 4.1 in the thesis. The netcdf datasets contain the following variables: ice thickness (thk) bedrock elevation (topg) surface ice velocity (uvelsurf,vvelsurf) basal ice velocity/sliding velocity (uvelbase,vvelbase) pressure adjusted basal temperature (temppabase) An animation of the C1=300Paam-1 simulation can watched here. This project was funded by the Swiss National Science Foundation (project 200021-162444).