Joe Schoonover

I started to get some things out of my head here : https://github.com/orgs/OceanParcels/projects/5?pane=issue&itemId=97546771 @willirath has a good start (IMO) of a trimmed down FieldSet in https://github.com/OceanParcels/Parcels/compare/main...v/mvp-dependency-discovery . Would it make...

Of course. The one example I'm working with to start is here : https://github.com/FESOM/fesom2/tree/main/test/meshes/soufflet

Loading just the vertices and face connectivity can be done with ``` def load_ascii_mesh(mesh_path): """ Loads the mesh data from the specified path and returns the node coordinates and element...

[This is an MITgcm example](https://drive.google.com/drive/folders/1-8EAWAQc_myrojnNm49bzEddkN-ivW83?usp=drive_link) dataset for a Cartesian rectilinear regional grid (baroclinic double gyre) that has 3 time levels in the netcdf file. The time is not managed with...

@VeckoTheGecko - I would vote for using analytical functions rather than random data in the fields. This is a bit more useful for validating interpolation methods. For example, if we...

What would be a use case for random data ? Patching would still be good to allow for development of more sophisticated tests without reproducing a ton of boiler plate...

> Agreed. What do you have in mind? > > * replace `np.random` with `np.ones`? > * more spatially varying so you can do interesting interpolation? Replacing `np.random` with `np.ones`...