/AGILE

COMBINE: Cost Minimization Bed Inversion model for glaciers and ice caps

Primary LanguageJupyter NotebookBSD 3-Clause "New" or "Revised" LicenseBSD-3-Clause

AGILE

AGILE - Open Global Glacier Data Assimilation Framework

Work in progress!

This project is an adaption/extension to OGGM and utilizes its dynamical model together with backwards functionalities (Automatic/Algorithmic Differentiation) of PyTorch to enable a cost function based assimilation.

agile2D (previously called combine2d) is based on a dynamical 2D Shallow-Ice-Approximation model, using surface outlines, surface topography, surface mass-balance time series and optionally also existing ice thickness measurements for ice caps. For further information look at the master thesis of @phigre (Repository stage of master thesis).

agile1D (previously called combine1d) is based on a dynamical 1D or flowline model, using flowline surface heights and widths as well as surface mass-balance time series for valley glaciers. For further information look at the master thesis of @pat-schmitt (Repository stage of master thesis).