A glacier melt model applied to Breithorngletscher (Zermatt, Switzerland) to learn about reproducible research practices

This an example code repository going along with the workshop https://github.com/mauro3/CORDS/tree/master/Workshop-Reproducible-Research

Mass balance model

• The melt model is a simple temperature index melt model.
• Temperature lapses with a linear function.
• Precipitation is from measurements and a threshold temperature determines whether it is snow.

The main function is glacier_net_balance_fn which returns:

• the glacier net balance [m] (i.e. how much volume was gained or lost over the time period)
• net balance at all points [m] (i.e. how much volume was gained or lost at each grid cell)

Data

• measured temperature (operated by VAW-LG in 2007) from a met-station near Breithorngletscher is used
• digital elevation model is the DHM200 of swisstopo
• mask is derived from outlines of the Swiss Glacier Inventory (however, we pretend that we digitised that outline ourselves)

Data is located at https://raw.githubusercontent.com/mauro3/CORDS/master/data/workshop-reproducible-research

Installation

• first install minimamba
• mamba env create --prefix ./.env --file environment.yml
• mamba activate ./.env
• pip install -e .

Getting started

Just check out and run python examples/simple.py

References

@article {CORDS2024,
  author       = {Victor Boussange and Mauro Werder},
  title        = {A Course On Reproducible research, Data pipelines and Scientific computing},
  year         = {2024},
  URL          = {https://github.com/mauro3/CORDS/},
}