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PyGEM — Frontal Ablation Calibration Branch (Zenodo Release v1.0.0)

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@Ruitangtang Ruitangtang released this 03 Jul 08:25
v1.0.0-zenodo-pygem-rt
82a4cc5

🧊 PyGEM — Frontal Ablation Calibration Branch (Zenodo Release v1.0.0)

This release corresponds to the PyGEM modifications (PyGEM_RT branch) used for the frontal ablation calibration and simulation experiments in the associated publication.

📄 Paper

Joint Bayesian Calibration of Frontal Ablation and Surface Mass Balance in Global Glacier Models
(GMD Preprint, 2026)
Paper

📦 Zenodo Archive

10.5281/zenodo.18761729

DOI

🔗 Related Components

This release is part of a three-component framework. The companion repositories and their tagged versions are:

Component Repository Branch Tag
OGGM core Ruitangtang/oggm SERMeQ_RT v1.0.0-zenodo-frontal-ablation
PyGEM (this release) Ruitangtang/PyGEM PyGEM_RT v1.0.0-zenodo-pygem-rt
Calibration scripts Ruitangtang/PyGEM-scripts FA_AdaPBS_RT v1.0.0-zenodo-fa-adapbs-rt

📂 Contents

This branch extends PyGEM with the following enhancements:

Mass balance module (core/massbalance.py):

  • Added get_monthly_mb function for monthly-scale mass balance calculations
  • Introduced new parameters in get_annual_mb to support year-month specific outputs
  • Added volume_m3_annual and volume_m3_month outputs within the ensure_mass_conservation function
  • Added glac_wide_massbalclim as a new variable in the PyGEMMassBalance class

Glacier geometry and storage:

  • Added length change as an extra glacier variable in the storage class to track terminus dynamics

Calving and flowline functions (core/flowline.py):

  • Refactored single_flowline_glacier_directory and single_flowline_glacier_directory_with_calving
  • Both functions now share the same workflow structure with cleaner logic and improved readability

Output handling:

  • Custom output handlers to export frontal ablation flux alongside standard mass balance outputs

🚀 Getting Started

This release is the source-code reference for the PyGEM modifications.

For a complete, lightweight, runnable package with:

  • Sample input data (single glacier example)
  • Step-by-step setup and execution instructions
  • All Jupyter notebooks to reproduce every figure from the paper

👉 Visit the dedicated showcase repository:
Ruitangtang/frontal-ablation-module

📌 Citation

If you use this code in your research, please cite both the paper and the Zenodo archive:

Joint Bayesian Calibration of Frontal Ablation and Surface Mass Balance in Global Glacier Models. GMD Preprint, 2026. DOI: 10.5194/egusphere-2026-1081

Frontal Ablation Module for OGGM-PyGEM (v1.0.0). Zenodo, 2026. DOI: 10.5281/zenodo.18761729

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