AusClimateService / AusClimateService/ccam-evaluation
Produce full Climpact suite of indices in R.
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Description
As per discussions with @tha051 today, we're going to run a parallel evaluation of Climpact and Python for computing indices.
The first port of call is to run the Climpact suite against test data (CCAM?) to produces a directory of netcdf files containing the indices. We will then do the same analysis with Python and compare results.
@ngben, as you are already running Climpact are you able to assist with the R side of this evaluation? I will take care of the Python side of things as well as the inter comparison itself.
Contributor guide
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Research direction
No repository files, tests, or entry points are named. First locate the R-side Climpact setup and the CCAM test data, then run Climpact to produce the NetCDF index directory and compare those results with the Python analysis; done means the full suite has been generated and the cross-language results have been evaluated.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, r
- Domain
- data, testing
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100