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Xarray extension for unstructured climate and global weather data analysis and visualization.

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> > > I would say that our test `test_centroids_from_mean_verts_scrip` is pretty comprehensive, since it runs the algorithm on a dataset that already has `Mesh2_face_x/y` and the results match up....

Should showcase our directly supported plotting methods.

documentation
improvement

Produce composites of the UxDataset at the specific locations via stereographic projection. `UxDataset uxarray.UxDataset.composite(self, nodes)`

new feature

Produce snapshots of the UxDataset at the specific locations via stereographic projection. `UxDataset UxDataset.snapshot(self, nodes) `

new feature

Compute the divergence of the vector field defined by a UxDataArray and other. `UxDataArray UxDataArray.divergence(self, UxDataArray other)`

new feature

Compute the vertical component of the vorticity of the vector field defined by an UxDataArray and the other `UxDataArray UxDataArray.relative_vorticity(self, UxDataArray other)`

new feature

Most MPAS grid datasets already contain face areas, parse them at the I/O step.

new feature

We support and expect to deal mostly with convex grids; however. support for concave grids in the future can also be good for additional use cases. Add a Grid function...

new feature

(optional; not in UGRID standard) A DataArray indicating the type of edges (0 = great circle arc, 1 = line of constant latitude) `Grid.Mesh2_edge_types: int` DataArray of size (`nMesh2_edge`) (optional;...

new feature