Interpolated with surface topo

Demonstrate interpolating two-dimensional model output when surface topography, rather than bedrock topography, is present in the original data. The result is the same as in the interpolated output example.

/home/docs/checkouts/readthedocs.org/user_builds/hyoga/envs/latest/lib/python3.12/site-packages/hyoga/open/example.py:29: FutureWarning: In a future version, xarray will not decode timedelta values based on the presence of a timedelta-like units attribute by default. Instead it will rely on the presence of a timedelta64 dtype attribute, which is now xarray's default way of encoding timedelta64 values. To continue decoding timedeltas based on the presence of a timedelta-like units attribute, users will need to explicitly opt-in by passing True or CFTimedeltaCoder(decode_via_units=True) to decode_timedelta. To silence this warning, set decode_timedelta to True, False, or a 'CFTimedeltaCoder' instance.
  return xr.open_dataset(path)
downloading https://raw.githubusercontent.com/juseg/hyoga-data/main/pism/pism.alps.vis.refined.nc...

import matplotlib.pyplot as plt
import hyoga

# initialize figure
ax = plt.subplot()

# open demo data
with hyoga.open.example('pism.alps.out.2d.nc') as ds:

    # compute surface altitude and remove bedrock altitude
    ds = ds.hyoga.assign(surface_altitude=ds.hyoga.getvar('surface_altitude'))
    ds = ds.drop_vars(ds.hyoga.getvar('bedrock_altitude').name)

    # compute isostatic adjustment from a reference input topography
    ds = ds.hyoga.assign_isostasy(hyoga.open.example('pism.alps.in.boot.nc'))

    # perform the actual interpolation
    ds = ds.hyoga.interp(hyoga.open.example('pism.alps.vis.refined.nc'))

    # plot model output
    ds.hyoga.plot.bedrock_altitude(ax=ax, cmap='Topographic', center=False)
    ds.hyoga.plot.surface_altitude_contours(ax=ax)
    ds.hyoga.plot.ice_margin(ax=ax, facecolor='w')

    # add scale bar
    ds.hyoga.plot.scale_bar()

# set title
ax.set_title('Interpolated output')

# show
plt.show()