COSIPY version 1.2

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.

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