ORCA2 Grid (Projected)

This example demonstrates how to render a projected extruded curvilinear grid.

📋 Summary

Creates a mesh from 2-D latitude and longitude curvilinear cell bounds.

The resulting mesh contains quad cells.

It uses an ORCA2 global ocean with tri-polar model grid with sea water potential temperature data. The data targets the mesh faces/cells.

Note that, a threshold is applied to remove land NaN cells, before the mesh is then transformed to the Mollweide pseudo-cylindrical projection and extruded to give depth to the projected surface. Finally, 10m resolution Natural Earth coastlines are also rendered.

🏷 Tags: Coastlines Curvilinear Extrude Projection Threshold Transform Mesh

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Static Scene

Interactive Scene

from __future__ import annotations

import geovista as gv
from geovista.common import cast_UnstructuredGrid_to_PolyData as cast
from geovista.pantry.data import um_orca2
import geovista.theme
from geovista.transform import transform_mesh


def main() -> None:
    """Plot a projected ORCA2 curvilinear grid.

    Notes
    -----
    .. versionadded:: 0.1.0

    """
    # Load the sample data.
    sample = um_orca2()

    # Create the mesh from the sample data.
    mesh = gv.Transform.from_2d(sample.lons, sample.lats, data=sample.data)

    # Remove cells from the mesh with NaN values.
    mesh = cast(mesh.threshold())

    # Transform the mesh to the Mollweide projection and extrude.
    mesh = transform_mesh(mesh, crs := "esri:54009")
    mesh.extrude((0, 0, -1000000), capping=True, inplace=True)

    # Plot the curvilinear mesh.
    plotter = gv.GeoPlotter(crs=crs)
    sargs = {"title": f"{sample.name} / {sample.units}", "shadow": True}
    plotter.add_mesh(mesh, scalar_bar_args=sargs)
    plotter.add_coastlines(color="black")
    plotter.add_axes()
    plotter.add_text(
        f"ORCA ({crs}, extrude)",
        position="upper_left",
        font_size=10,
        shadow=True,
    )
    plotter.view_xy()
    plotter.camera.zoom(1.5)
    plotter.show()


if __name__ == "__main__":
    main()