Contribute to the climpred package for analyzing climate predictions
climpred is a package that uses pangeo-supported software like xarray and dask to make evaluating climate predictions easier. Many institutions are running climate models similar to a weather model to predict the Earth system anywhere from 2 weeks to decades in advance. These projects produce massive datasets and require users to tediously write code to assess how well the forecasts did. climpred automates a lot of the analysis (like aligning forecast times with real-world times and computing statistical metrics) so that users can get right to answering the scientific questions they care about.
What to contribute
Look for tags “Help Wanted”, “ASP Projects”, or “Good First Issue”
Required Skills
What technical skills are needed in order to contribute?
- Intermediate python programming
- Basic knowledge of git (Although see https://climpred.readthedocs.io/en/stable/contributing.html for instructions on how to contribute)
- Some domain-specific knowledge of forecasting/forecast evaluation
Note that Aaron and I are eager to mentor anyone who is a first time contributor. The code review is friendly and you’ll learn a lot from the process. Feel free to email us if you have ideas or just want to help out and want some guidance on where to get started.
Mentors
-
Riley Brady (PhD candidate at CU Boulder)
riley.brady@colorado.edu
https://www.github.com/bradyrx -
Aaron Spring (PhD candidate at MPI in Hamburg, Germany)
@aaronspring
aaron.spring@mpimet.mpg.de
https://www.github.com/aaronspring