sublimpy

Tools for working with data from the Sublimation of Snow project.


License
MIT
Install
pip install sublimpy==0.0.1

Documentation

sublimpy

Tools for working with data from the Sublimation of Snow project.

This package is published to pip. It can be installed

pip install sublimpy

Check out test.ipynb or example_with_plotting.ipynb to see some functionality.

Contains the following modules: sublimpy.utils

  • Utilities for downloading, cleaning, and otherwise working with SoS data.

sublimpy.variables

  • Convenience functions for calculating additional variables from SoS measurements.
  • E.g. surface temperatures, virtual potential temperatures, turbulent kinetic energy

sublimpy.tidy

  • Convenience functions for creating a tidy dataframe dataset from SoS NetCDF datasets.
  • Tidy dataframes have "height", "tower", and "measurement" columns which are parsed from the variables provided in the original SoS datasets.

sublimpy.gradients

  • Classes to calculate wind and temperature gradients and Richardson numbers from SoS measurements.
  • Multiple methods are available, including fitting log-linear and log-polynomial curves, and simple central-differencing.

It is published to pypi like so:

python setup.py sdist bdist_wheel
python -m twine upload dist/*