Update _stash_to_lfric.py for missing model level variables
- Dominant language
- Python
- Stars
- 33
- Forks
- 19
- Avg merge
- 1d 22h
- Merged PRs (30d)
- 30
Description
With the ability to plot model level data we need to ensure that `_stash_to_lfric.py` is up-to-date and contains all relevant fields so that we can compare UM and LFRic.
Variables to check to see if there is a UM equivalent (and if they need to be added to `_stash_to_lfric.py` are
- cloud_droplet_number_concentration
- cloud_liquid_water_mixing_ratio
- divergence_of_wind
- eastward_wind
- m_r
- northward_wind
- potential_vorticity
- upward_heat_flux_in_air
Contributor guide
No contributing guide indexed for this repository
Research direction
Open `_stash_to_lfric.py` and inspect how existing fields are mapped for model-level data. Check each listed variable for a UM equivalent, add the relevant fields to the mapping, and verify that the resulting entries support comparison between UM and LFRic.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100