meb.xarray_to_griddata函数在xarray为0.19.0版本下出错，0.18.2版本没问题

[LuckyBoy314]

meteva版本：1.5.9.4

报错信息如下：

---

TypeError Traceback (most recent call last)
/tmp/ipykernel_16868/2886223431.py in
----> 1 direction = meb.xarray_to_griddata(direction1, time_dim='forecast_reference_time', dtime_dim='forecast_period')
2 direction

/opt/anaconda3/lib/python3.8/site-packages/meteva/base/basicdata/grid_data.py in xarray_to_griddata(xr0, value_name, member_dim, level_dim, time_dim, dtime_dim, lat_dim, lon_dim)
268 ds.coords["dtime"] = ("dtime", dts)
269 else:
--> 270 ds.coords["dtime"] = ("dtime", dts)
271 attrs_name = list(dts.attrs)
272 for key in attrs_name:

/opt/anaconda3/lib/python3.8/site-packages/xarray/core/coordinates.py in setitem(self, key, value)
39
40 def setitem(self, key: Hashable, value: Any) -> None:
---> 41 self.update({key: value})
42
43 @Property

/opt/anaconda3/lib/python3.8/site-packages/xarray/core/coordinates.py in update(self, other)
161 def update(self, other: Mapping[Hashable, Any]) -> None:
162 other_vars = getattr(other, "variables", other)
--> 163 coords, indexes = merge_coords(
164 [self.variables, other_vars], priority_arg=1, indexes=self.xindexes
165 )

/opt/anaconda3/lib/python3.8/site-packages/xarray/core/merge.py in merge_coords(objects, compat, join, priority_arg, indexes, fill_value)
470 coerced, join=join, copy=False, indexes=indexes, fill_value=fill_value
471 )
--> 472 collected = collect_variables_and_indexes(aligned)
473 prioritized = _get_priority_vars_and_indexes(aligned, priority_arg, compat=compat)
474 variables, out_indexes = merge_collected(collected, prioritized, compat=compat)

/opt/anaconda3/lib/python3.8/site-packages/xarray/core/merge.py in collect_variables_and_indexes(list_of_mappings)
292 append_all(coords, indexes)
293
--> 294 variable = as_variable(variable, name=name)
295 if variable.dims == (name,):
296 variable = variable.to_index_variable()

/opt/anaconda3/lib/python3.8/site-packages/xarray/core/variable.py in as_variable(obj, name)
119 elif isinstance(obj, tuple):
120 if isinstance(obj[1], DataArray):
--> 121 raise TypeError(
122 "Using a DataArray object to construct a variable is"
123 " ambiguous, please extract the data using the .data property."

TypeError: Using a DataArray object to construct a variable is ambiguous, please extract the data using the .data property.