Recent Releases of icepack
icepack - icepack: glacier flow modeling with the finite element method in Python
This release improves the data assimilation routines:
- You can now supply a list of loss and regularization functionals. They get assembled separately and then summed together. This works around a limitation in Firedrake where you can't assemble the sum of a point data integral and a volume integral.
- The ROL shims have been fixed for the new version.
Cryosphere - Glacier and Ice Sheets
- Jupyter Notebook
Published by danshapero almost 2 years ago

icepack - icepack: glacier flow modeling with the finite element method in Python
This is the 1.0 release of icepack, a new software package for modeling the flow of glaciers and ice sheets. The main goal of icepack is to both lower the barrier to entry to using flow models for glaciologists who are not experienced in computational physics and to create a tool that experts will find more productive and flexible. Icepack includes several flow models: the shallow ice approximation, the shallow shelf approximation, and a 3D model based on the first-order approximation to the Stokes equations. Additionally, icepack includes models for other processes such as heat transport and damage mechanics.
Cryosphere - Glacier and Ice Sheets
- Jupyter Notebook
Published by danshapero over 4 years ago

icepack - icepack: glacier flow modeling with the finite element method in Python
This is the beta release of icepack, a new software package for modeling the flow of glaciers and ice sheets in Python. The main design goal of icepack is to be easy to use for practicing glaciologists, whether they are experts or novices in computational physics and high-performance computing.
Cryosphere - Glacier and Ice Sheets
- Jupyter Notebook
Published by danshapero over 5 years ago

icepack - Alpha release for citation purposes
This release is to give icepack a DOI so that it will be citable in future.
Cryosphere - Glacier and Ice Sheets
- Jupyter Notebook
Published by danshapero about 7 years ago
