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climate
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I think we should move towards a hydrological approach instead of the "cost route" algorithm we are currently using.
Chhota Shigri is a good example of things going wrong.
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Currently, data/overview/solutions.csv holds the sector names as published in the 2017 Project Drawdown book. The Drawdown Review in 2020 updated the sectors, now called Areas, with new names and organization. A number of the solutions are now present in multiple Areas. For example, Waste to Energy was former
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Follow this:
[ dataset_name ]( data_link) A short description
make sure it's a public dataset!
Steps:
🌟 the repository- Fork it
- Make changes to the README by adding the dataset name and link as mentioned above on yours forked repo.
- Make PR for that
- That's all
Congratulation 🎉
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See pangeo-data/climpred#439. We added discrimination and reliability from xskillscore, which returns the data necessary to make these plots. Would be good to have a small section in the docs + maybe a convenience function in graphics.py to actually construct these plots with the output.
See "reliability diagram" and "discrimination diagram" under https://www.cawcr.
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@charleskawczynski suggest looking at https://github.com/ronisbr/PrettyTables.jl to make output for human reading part of #1086 even more beautiful.