`PerfectModel_persistence_from_initialized_lead_0=True` fails for other `reference` than `persistence`

[aaronspring]

Describe the bug
kwargs not properly passed

Code Sample

for b in [False, True]: # True fails
    with climpred.set_options(PerfectModel_persistence_from_initialized_lead_0=b):
        pm.verify(metric='rmse', comparison='m2e', dim=['member','init'], reference=['persistence','climatology'], skipna=True)[v].plot(hue='skill',label=b)
plt.legend()

/Users/aaron.spring/Coding/climpred/climpred/classes.py:683: UserWarning: Error due to verification/control/uninitialized: xr.sel((), {'init': slice('1990', '2000', None)}) failed
KeyError: 'init is not a valid dimension or coordinate'
  warnings.warn(
/Users/aaron.spring/Coding/climpred/climpred/classes.py:683: UserWarning: Error due to verification/control/uninitialized: xr.sel((), {'init': slice('1990', '2000', None)}) failed
KeyError: 'init is not a valid dimension or coordinate'
  warnings.warn(

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Input In [25], in <module>
      2 for b in [False, True]:
      3     with climpred.set_options(PerfectModel_persistence_from_initialized_lead_0=b):
----> 4         pm.sel(init=slice('1990','2000')).verify(metric='rmse', comparison='m2e', dim=['member','init'], reference=['persistence','climatology'], skipna=True)[v].plot(hue='skill',label=b)
      5 plt.legend()

File ~/Coding/climpred/climpred/classes.py:1371, in PerfectModelEnsemble.verify(self, metric, comparison, dim, reference, groupby, **metric_kwargs)
   1366     if (
   1367         not OPTIONS["PerfectModel_persistence_from_initialized_lead_0"]
   1368         and r != "persistence"
   1369     ):
   1370         ref_compute_kwargs["comparison"] = comparison
-> 1371     ref = getattr(self, f"_compute_{r}")(**ref_compute_kwargs)
   1372     result = xr.concat([result, ref], dim="skill", **CONCAT_KWARGS)
   1373 result = result.assign_coords(skill=["initialized"] + reference)

File ~/Coding/climpred/climpred/classes.py:1556, in PerfectModelEnsemble._compute_climatology(self, metric, comparison, dim, **metric_kwargs)
   1554 if dim is None:
   1555     dim = list(self.get_initialized().isel(lead=0).dims)
-> 1556 res = self._apply_climpred_function(
   1557     compute_climatology,
   1558     input_dict=input_dict,
   1559     metric=metric,
   1560     comparison=comparison,
   1561     dim=dim,
   1562     **metric_kwargs,
   1563 )
   1564 if self._temporally_smoothed:
   1565     res = _reset_temporal_axis(res, self._temporally_smoothed, dim="lead")

File ~/Coding/climpred/climpred/classes.py:1157, in PerfectModelEnsemble._apply_climpred_function(self, func, input_dict, **kwargs)
   1155 if control:
   1156     control = control.drop_vars(ctrl_vars)
-> 1157 return func(ensemble, control, **kwargs)

File ~/Coding/climpred/climpred/reference.py:242, in compute_climatology(initialized, verif, metric, comparison, alignment, dim, **metric_kwargs)
    239 if "iteration" in initialized.dims:
    240     initialized = initialized.isel(iteration=0, drop=True)
--> 242 if comparison.hindcast:
    243     kind = "hindcast"
    244 else:

AttributeError: 'NoneType' object has no attribute 'hindcast'

Expected behavior
should work