Skip to main content

Python Glacier Evolution Model for large-scale glacier modeling

Project description

Python Glacier Evolution Model (PyGEM)

Overview: Python Glacier Evolution Model (PyGEM) is an open-source glacier evolution model coded in Python that models the transient evolution of glaciers. Each glacier is modeled independently using a monthly timestep. PyGEM has a modular framework that allows different schemes to be used for model calibration or model physics (e.g., climatic mass balance, glacier dynamics). In the newest version under development, PyGEM is working to become compatible with the Open Global Glacier Model (OGGM; https://oggm.org/).

Manual: Details concerning the model physics, installation, and running the model may be found here: https://github.com/drounce/PyGEM/wiki

Usage: PyGEM is meant for large-scale glacier evolution modeling. PyGEM is still under active development. Therefore, if you would like to run the model independently, it is suggested to install Release PyGEMv0.2.0. However, given the major changes to the code, this release of the code is not being actively supported anymore. We therefore highly encourage you to contact the lead developer (David Rounce) if you're interested in using the version that is actively being developed.

Contributing: We welcome contributions from any interested parties and are in the process of outlining how to best incorporate outside contributions. For the time being, if you would like to contribute to the development of the model, please contact David Rounce (drounce@cmu.edu).

Credits: If using PyGEM for scientific applications, please cite the following: Rounce, D.R., Hock, R., Maussion, F., Hugonnet, R., Kochtitzky, W., Huss, M., Berthier, E., Brinkerhoff, D., Compagno, L., Copland, L., Farinotti, D., Menounos, B., and McNabb, R.W. “Global glacier change in the 21st century: Every increase in temperature matters”, Science, 379(6627), pp. 78-83, (2023), doi:10.1126/science.abo1324.

License: PyGEM uses an MIT license.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pygem-0.2.5.tar.gz (53.6 kB view details)

Uploaded Source

Built Distribution

pygem-0.2.5-py2.py3-none-any.whl (56.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file pygem-0.2.5.tar.gz.

File metadata

  • Download URL: pygem-0.2.5.tar.gz
  • Upload date:
  • Size: 53.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for pygem-0.2.5.tar.gz
Algorithm Hash digest
SHA256 861040d099c84b55900c61a2f6d45eb3dde61d7d09b0e923c971b72989e71d5e
MD5 fe9143fcf22f100efbd62fd40fdeb4b1
BLAKE2b-256 c5063d3e375549743841ffb6189f9d875297eef95a5d03f24a27be95a49a4331

See more details on using hashes here.

File details

Details for the file pygem-0.2.5-py2.py3-none-any.whl.

File metadata

  • Download URL: pygem-0.2.5-py2.py3-none-any.whl
  • Upload date:
  • Size: 56.0 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for pygem-0.2.5-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ee6231d98120fb9d62886fe521375d3d5dc9a346eab12de9adc569f7d3a31b73
MD5 21d296fa029b89428191da37b5a38865
BLAKE2b-256 e7e7ad245261f387fe98abb8c30ac1b699696881ca746a2a1eecc4b5741113ef

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page