Allow wind speeds to be corrected by a location-specific linear factor (e.g. from GWA)
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- Dominant language
- Python
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Description
We should bias correct ERA5's wind speeds using DTU's global wind atlas (GWA). This will raise wind speeds in e.g. onshore Germany and the Alps.
See a similar PR in PyPSA-Eur from @p-glaum.
Consensus was we should wait until ERA6 is published before taking this on, since ERA6 will have improved resolution.
Implementation
Allow some sort of matrix mask to be passed to convert_wind that pre-multiplies the wind speeds in convert.py. Perhaps provide functionality/example for GWA, or leave that to PyPSA-X models.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading convert.py and the convert_wind entry point, then review the similar PyPSA-Eur pull request linked in the issue. Confirm whether ERA6 is available before defining the matrix-mask API and deciding whether GWA support belongs in atlite or downstream models. Done means location-specific wind factors can be passed through convert_wind and are applied as specified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100