The Instructed Glacier Model (IGM) simulates the ice dynamics, surface mass balance, and its coupling through mass conservation to predict the evolution of glaciers, icefields, or ice sheets (Figs. 1 and 2). The specificity of IGM is that it models the ice flow by a Neural Network, which is trained with state … Se mer We have 1 PhD and 1 postdoc open position in glacier and landscape evolution modelling at the University of Lausanne (UNIL), Switzerland. … Se mer The easiest and quickest way is to get to know IGM is to run notebooks in , which offers free access to GPU, or to install IGM on your machine, and start with examples. Se mer IGM is a very young model, continuously developped, with limited documentation and testing. To start with, I recomand to start with examples (via colab notebooks or the example folder). … Se mer Feel free to drop me an email for any questions, bug reports, or ideas of model extension: guillaume.jouvet at unil.ch Se mer NettetThe Instructed Glacier Model (IGM) simulates the ice dynamics, surface mass balance, and its coupling through mass conservation to predict the evolution of glaciers, …
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Nettet17. feb. 2024 · Project Description: The landscape of the European Alps has been shaped from the combination of a number of processes, e.g., uplift, fluvial or glacial erosion. In … NettetDeep learning speeds up ice flow modelling by several orders of magnitude . International audience This paper introduces the Instructed Glacier Model (IGM) – a model that … creation hospitality group
Machine learning techniques can speed up glacier modeling by …
Nettetglacier modeling by 1,000 times March 28 2024, by Lily Roberts ... The state-of-the-art Instructed Glacier Model is highly efficient compared to well-established simulation tools. Nettet19. des. 2016 · Martin P. Lüthi's 100 research works with 2,190 citations and 11,081 reads, including: The control of short-term ice mélange weakening episodes on calving activity at major Greenland outlet glaciers NettetDOI: 10.1016/j.cageo.2014.07.019 Corpus ID: 5951516; Ice-sheet modelling accelerated by graphics cards @article{Brdstrup2014IcesheetMA, title={Ice-sheet modelling accelerated by graphics cards}, author={Christian Fredborg Br{\ae}dstrup and Anders Damsgaard and David Lundbek Egholm}, journal={Comput. creation homes group