KACE-1-0-G fails clean-cmip6 with chunking issue in xclim_convert_360day_calendar_interpolate function

[dgergel]

error from the logs:

INFO:dodola.services:Starting dodola service clean_cmip6 with args=('gs://scratch-170cd6ec/1acf3ca2-9f7a-4a3b-b842-8f4562c6e531/clean-cmip6-dev-vbgln-2364147584/timesliced.zarr'
, 'gs://scratch-170cd6ec/1acf3ca2-9f7a-4a3b-b842-8f4562c6e531/clean-cmip6-dev-vbgln-1245057932/standardized.zarr', True), kwargs={})
INFO:dodola.repository:Read gs://scratch-170cd6ec/1acf3ca2-9f7a-4a3b-b842-8f4562c6e531/clean-cmip6-dev-vbgln-2364147584/timesliced.zarr
Traceback (most recent call last):
  File "/opt/conda/bin/dodola", line 33, in <module>
    sys.exit(load_entry_point('dodola', 'console_scripts', 'dodola')())
  File "/opt/conda/lib/python3.9/site-packages/click/core.py", line 1137, in __call__
    return self.main(*args, **kwargs)
  File "/opt/conda/lib/python3.9/site-packages/click/core.py", line 1062, in main
    rv = self.invoke(ctx)
  File "/opt/conda/lib/python3.9/site-packages/click/core.py", line 1668, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "/opt/conda/lib/python3.9/site-packages/click/core.py", line 1404, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/opt/conda/lib/python3.9/site-packages/click/core.py", line 763, in invoke
    return __callback(*args, **kwargs)
  File "/opt/dodola/dodola/cli.py", line 477, in cleancmip6
    services.clean_cmip6(x, out, drop_leapdays)
  File "/opt/dodola/dodola/services.py", line 35, in service_logger
    func(*args, **kwargs)
  File "/opt/dodola/dodola/services.py", line 721, in clean_cmip6
    cleaned_ds = standardize_gcm(ds, leapday_removal)
  File "/opt/dodola/dodola/core.py", line 524, in standardize_gcm
    ds_converted = xclim_convert_360day_calendar_interpolate(
  File "/opt/dodola/dodola/core.py", line 647, in xclim_convert_360day_calendar_interpolate
    ds_out = ds_converted.interpolate_na("time", interpolation)
  File "/opt/conda/lib/python3.9/site-packages/xarray/core/dataset.py", line 4875, in interpolate_na
    new = _apply_over_vars_with_dim(
  File "/opt/conda/lib/python3.9/site-packages/xarray/core/missing.py", line 204, in _apply_over_vars_with_dim
    ds[name] = func(var, dim=dim, **kwargs)
  File "/opt/conda/lib/python3.9/site-packages/xarray/core/missing.py", line 349, in interp_na
    arr = apply_ufunc(
  File "/opt/conda/lib/python3.9/site-packages/xarray/core/computation.py", line 1174, in apply_ufunc
    return apply_dataarray_vfunc(
File "/opt/conda/lib/python3.9/site-packages/xarray/core/computation.py", line 293, in apply_dataarray_vfunc
    result_var = func(*data_vars)
  File "/opt/conda/lib/python3.9/site-packages/xarray/core/computation.py", line 681, in apply_variable_ufunc
    raise ValueError(
ValueError: dimension time on 0th function argument to apply_ufunc with dask='parallelized' consists of multiple chunks, but is also a core dimension. To fix, either rechunk int
o a single dask array chunk along this dimension, i.e., ``.chunk(dict(time=-1))``, or pass ``allow_rechunk=True`` in ``dask_gufunc_kwargs`` but beware that this may significantl
y increase memory usage.

[brews]

I think we got through the rechunking issue with ClimateImpactLab/dodola#151.

Need to rerun and check. If there is a new issue, please close this and open a new issue.