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2. Examples
The best way to get to know IGM is to run given examples. You can do this with online Colab Notebook or locally on your machine:
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The easiest way is to run notebooks in
, which offers free access to GPU. Advantageously, you don't have to install anything, all is done.
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If you managed to install IGM on your machine, you may already run ready-to-use examples in the folder
examples/, which contains input data and scripts with necessary commands.
In both cases (colab notebooks or local installation), you will find the following examples:
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aletsch-simple provides a simple set-up for an advance-retreat simulation of the largest glacier of the European Alps -- Aletsch Glacier, Switzerland -- using a simple parametrization of the mass balance based on time-varying Equilibrium Line Altitudes (ELA), as well as an example of a fully-customized mass balance routine implementing an oscillating ELA.
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cluster-simple is similar to aletsch-simple, but over a wider domain including tens of glaciers to demonstrate the capability of IGM to model a glacier network.
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aletsch-1880-2100 gives the set-up to reproduce the simulations of the Great Aletsch Glacier (Switzerland) in the past and in the future based on the CH2018 climate scenarios and an accumulation/melt model.
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paleo-alps consists of a simple set-up to run a paleo glacier model in the European Alps in paleo times with different catchments (lyon, ticino, rhine, linth glaciers) with IGM around the last glacial maximum (LGM, about 24 BP in the Alps).
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aletsch-invert gives an example of data assimilation with IGM.
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mer-de-glace gives a combined example of inverse and forward modelling for the Mer de Glace Glacier in France.