Add content on regridding?

[DamienIrving]

This is a common issue, particular for data on a curvilinear ocean grid. Relevant notes can be found at the following issues:

• https://github.com/DamienIrving/ocean-analysis/issues/2
• https://github.com/DamienIrving/ocean-analysis/issues/6

[DamienIrving]

Here's a post that goes into more depth on the issue: https://drclimate.wordpress.com/2018/12/30/data-analysis-and-ocean-model-grids/

[LindsayRAbrams]

I agree with this comment. Our office within the US' National Oceanic and Atmospheric Administration used this lesson for some recent Carpentries workshops and would have appreciated an example using data that needs to be regridded. Regridding was an immediate question within our group because this is generally required for our model datasets. There are several of us in NOAA that are involved with Carpentries and would be willing to work on a regridding lesson if the developer approves of this addition.

[DamienIrving]

@LindsayRAbrams Great to hear that you've been using the PyAOS lessons at NOAA. I'd certainly be open to the idea of working with some of you at NOAA to add a regridding lesson. Out of interest, what type of native model grid are you typically working with and what package/library do you typically use for the regridding?

[LindsayRAbrams]

@DamienIrving Sorry for the delayed response, was hosting another SC workshop just last week! Our model data uses an unstructured grid and we are using matplotlib.tri for regridding. Our data is publicly available and an example can be found here if you want to get a better idea: https://www.ncei.noaa.gov/data/operational-nowcast-and-forecast-hydrodynamic-model-systems-co-ops/access/northern-gulf-of-mexico-operational-forecast-system-ngofs/2021/03/ Let me know what you think.