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 NettetWe give an overview of the Instructed Glacier Model (IGM) -- a new framework to model the evolution of glaciers at any scale by coupling ice dynamics, surface mass balance, and mass conservation.

PhD position in glacier and landscape evolution modelling

NettetThe Instructed Glacier Model (IGM) simulates the ice dynamics, surface mass balance, and its coupling through mass conservation to predict the evolution of glaciers, … NettetWe give an overview of the Instructed Glacier Model (IGM) -- a new framework to model the evolution of glaciers at any scale by coupling ice dynamics, surface mass balance, … cch prosystem download manager

GitHub - jouvetg/igm: The Instructed Glacier Model (IGM)

Nettet28. mar. 2024 · The Instructed Glacier Model substitutes the most computationally demanding model component by using a neural network trained from large datasets. … Nettet31. okt. 2024 · In the framework of a newly-funded project by the Swiss National Science Foundation entitled “Reconciling geological and modelled reconstructions of Alpine glacier evolution from the Last Glacial Maximum into the Holocene”, we are looking to fill 1 PhD and 1 2-year-long PostDoc positions at the University of Lausanne (UNIL, ICE group, … NettetMethodology: The method for inferring thickness will be based around the python assimilation framework of [5], which makes use of the Instructed Glacier Model, a deep learning emulator [7]. The framework has been applied successfully to Alpine glaciers, but not to HMA glaciers where type and availability of observations differs. bus times glebe court