SFMS: Prototype spatial interpolation of weather and FWI System inputs
- Dominant language
- Python
- Stars
- 65
- Forks
- 11
- Avg merge
- 21h 25m
- Merged PRs (30d)
- 70
Description
**Describe the task**
Implement an existing code base to interpolate FWI system station values to a raster. This can be demonstrated with a static sample data set.
**Acceptance Criteria**
- [ ] Given station location and fire weather information, interpolate weather parameters (temp, rh, precip, wind speed, wind direction) to a raster grid that matches provincial fuel grid extent, projection, and resolution.
- [ ] Use interpolated weather grid inputs to calculate FWI System values to a raster.
**Additional context**
- Elevation adjustments are applied to some weather parameters such as temperature and relative humidity using adiabatic lapse rates.
- Recommend considering CFS code base written in C. Should ask if they can also provide an example implementation.
Contributor guide
Research direction
No implementation files or tests are named, so start by locating the existing code base for station weather interpolation and FWI System calculations. Use the static sample data suggested in the issue, and consider the CFS C code base as a reference. Done means producing weather and FWI raster grids matching the provincial fuel grid's extent, projection, and resolution, including the noted elevation adjustments.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- c, python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100