The ‘COupled Snowpack and Ice surface energy and mass balance model in PYthon’ COSIPY solves the energy balance at the surface and is coupled to an adaptive vertical multi-layer subsurface module.
Release v1.2 includes several major improvements:
- Changes that affect the output:
- Improved surface temperature parameterization now including the Monin-Obukhov stability correction (can be selected to be used instead of the parameterization based on the Richardson-Number)
- Updated densification parameterization now including two possibilities (Essery et al. 2013 and Vionnet et al. 2011)
- Fresh snow density is now a function depending on air temperature and wind speed (Hantel et al. 2000)
- Minor changes to other parameterizations
- Updated grid class (mainly to the log and adaptive re-meshing algorithms)
- Technical improvements:
- Changed structure to implement Read the docs, Travis CI and codecov
- Now code is tested against different Python versions and modules
- To save storage, the users can select the variables which are going to be stored in the output netCDF
- WRF output can be used directly to create the input (there is a wrf2cosipy utility)
- Ablation stake data can be used for automatic evaluation of the results
We encourage all users to use COSIPY v1.2!
A model description paper is currently under review at GMD with open access to the manuscript and discussion.