Unable to read kerchunk file on s3 with different version of packages #10597
Description
What happened?
when using fsspec.filesystem with xr.open_dataset there seems to have inconsistent results at different conda environments. The code snippets to generate the error is below
import xarray as xr
import fsspec
fs = fsspec.filesystem(
"reference",
fo='s3://noaa-oar-cefi-regional-mom6-pds/northwest_atlantic/full_domain/hindcast/monthly/regrid/r20230520/ssh.nwa.full.hcast.monthly.regrid.r20230520.199301-201912.json',
remote_protocol="s3",
remote_options={"anon":True}
)
ds = xr.open_dataset(fs.get_mapper(""), engine='zarr',backend_kwargs={"consolidated": False})
The error message is
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[44], line 12
3 import zarr
5 fs = fsspec.filesystem(
6 "reference",
7 fo='s3://noaa-oar-cefi-regional-mom6-pds/northwest_atlantic/full_domain/hindcast/monthly/regrid/r20230520/ssh.nwa.full.hcast.monthly.regrid.r20230520.199301-201912.json',
8 remote_protocol="s3",
9 remote_options={"anon":True}
10 )
---> 12 ds = xr.open_dataset(fs.get_mapper(""), engine='zarr',backend_kwargs={"consolidated": False})
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/xarray/backends/api.py:571, in open_dataset(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, inline_array, chunked_array_type, from_array_kwargs, backend_kwargs, **kwargs)
559 decoders = _resolve_decoders_kwargs(
560 decode_cf,
561 open_backend_dataset_parameters=backend.open_dataset_parameters,
(...)
567 decode_coords=decode_coords,
568 )
570 overwrite_encoded_chunks = kwargs.pop("overwrite_encoded_chunks", None)
--> 571 backend_ds = backend.open_dataset(
572 filename_or_obj,
573 drop_variables=drop_variables,
574 **decoders,
575 **kwargs,
576 )
577 ds = _dataset_from_backend_dataset(
578 backend_ds,
579 filename_or_obj,
(...)
589 **kwargs,
590 )
591 return ds
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/xarray/backends/zarr.py:1170, in ZarrBackendEntrypoint.open_dataset(self, filename_or_obj, mask_and_scale, decode_times, concat_characters, decode_coords, drop_variables, use_cftime, decode_timedelta, group, mode, synchronizer, consolidated, chunk_store, storage_options, stacklevel, zarr_version)
1149 def open_dataset( # type: ignore[override] # allow LSP violation, not supporting **kwargs
1150 self,
1151 filename_or_obj: str | os.PathLike[Any] | BufferedIOBase | AbstractDataStore,
(...)
1167 zarr_version=None,
1168 ) -> Dataset:
1169 filename_or_obj = _normalize_path(filename_or_obj)
-> 1170 store = ZarrStore.open_group(
1171 filename_or_obj,
1172 group=group,
1173 mode=mode,
1174 synchronizer=synchronizer,
1175 consolidated=consolidated,
1176 consolidate_on_close=False,
1177 chunk_store=chunk_store,
1178 storage_options=storage_options,
1179 stacklevel=stacklevel + 1,
1180 zarr_version=zarr_version,
1181 )
1183 store_entrypoint = StoreBackendEntrypoint()
1184 with close_on_error(store):
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/xarray/backends/zarr.py:500, in ZarrStore.open_group(cls, store, mode, synchronizer, group, consolidated, consolidate_on_close, chunk_store, storage_options, append_dim, write_region, safe_chunks, stacklevel, zarr_version, write_empty)
498 zarr_group = zarr.open_consolidated(store, **open_kwargs)
499 else:
--> 500 zarr_group = zarr.open_group(store, **open_kwargs)
501 close_store_on_close = zarr_group.store is not store
502 return cls(
503 zarr_group,
504 mode,
(...)
510 close_store_on_close,
511 )
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/zarr/api/synchronous.py:531, in open_group(store, mode, cache_attrs, synchronizer, path, chunk_store, storage_options, zarr_version, zarr_format, meta_array, attributes, use_consolidated)
454 def open_group(
455 store: StoreLike | None = None,
456 *,
(...)
467 use_consolidated: bool | str | None = None,
468 ) -> Group:
469 """Open a group using file-mode-like semantics.
470
471 Parameters
(...)
528 The new group.
529 """
530 return Group(
--> 531 sync(
532 async_api.open_group(
533 store=store,
534 mode=mode,
535 cache_attrs=cache_attrs,
536 synchronizer=synchronizer,
537 path=path,
538 chunk_store=chunk_store,
539 storage_options=storage_options,
540 zarr_version=zarr_version,
541 zarr_format=zarr_format,
542 meta_array=meta_array,
543 attributes=attributes,
544 use_consolidated=use_consolidated,
545 )
546 )
547 )
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/zarr/core/sync.py:163, in sync(coro, loop, timeout)
160 return_result = next(iter(finished)).result()
162 if isinstance(return_result, BaseException):
--> 163 raise return_result
164 else:
165 return return_result
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/zarr/core/sync.py:119, in _runner(coro)
114 """
115 Await a coroutine and return the result of running it. If awaiting the coroutine raises an
116 exception, the exception will be returned.
117 """
118 try:
--> 119 return await coro
120 except Exception as ex:
121 return ex
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/zarr/api/asynchronous.py:838, in open_group(store, mode, cache_attrs, synchronizer, path, chunk_store, storage_options, zarr_version, zarr_format, meta_array, attributes, use_consolidated)
835 if chunk_store is not None:
836 warnings.warn("chunk_store is not yet implemented", RuntimeWarning, stacklevel=2)
--> 838 store_path = await make_store_path(store, mode=mode, storage_options=storage_options, path=path)
839 if attributes is None:
840 attributes = {}
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/zarr/storage/_common.py:363, in make_store_path(store_like, path, mode, storage_options)
359 if storage_options:
360 raise ValueError(
361 "'storage_options was provided but is not used for FSMap store_like objects. Specify the storage options when creating the FSMap instance instead."
362 )
--> 363 store = FsspecStore.from_mapper(store_like, read_only=_read_only)
364 else:
365 raise TypeError(f"Unsupported type for store_like: '{type(store_like).__name__}'")
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/zarr/storage/_fsspec.py:202, in FsspecStore.from_mapper(cls, fs_map, read_only, allowed_exceptions)
178 @classmethod
179 def from_mapper(
180 cls,
(...)
183 allowed_exceptions: tuple[type[Exception], ...] = ALLOWED_EXCEPTIONS,
184 ) -> FsspecStore:
185 """
186 Create a FsspecStore from a FSMap object.
187
(...)
200 FsspecStore
201 """
--> 202 fs = _make_async(fs_map.fs)
203 return cls(
204 fs=fs,
205 path=fs_map.root,
206 read_only=read_only,
207 allowed_exceptions=allowed_exceptions,
208 )
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/zarr/storage/_fsspec.py:57, in _make_async(fs)
55 fs_dict = json.loads(fs.to_json())
56 fs_dict["asynchronous"] = True
---> 57 return fsspec.AbstractFileSystem.from_json(json.dumps(fs_dict))
59 if fsspec_version < parse_version("2024.12.0"):
60 raise ImportError(
61 f"The filesystem '{fs}' is synchronous, and the required "
62 "AsyncFileSystemWrapper is not available. Upgrade fsspec to version "
63 "2024.12.0 or later to enable this functionality."
64 )
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/fsspec/spec.py:1480, in AbstractFileSystem.from_json(blob)
1459 """
1460 Recreate a filesystem instance from JSON representation.
1461
(...)
1476 at import time.
1477 """
1478 from .json import FilesystemJSONDecoder
-> 1480 return json.loads(blob, cls=FilesystemJSONDecoder)
File ~/.conda/envs/regional-mom6/lib/python3.11/json/__init__.py:359, in loads(s, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
357 if parse_constant is not None:
358 kw['parse_constant'] = parse_constant
--> 359 return cls(**kw).decode(s)
File ~/.conda/envs/regional-mom6/lib/python3.11/json/decoder.py:337, in JSONDecoder.decode(self, s, _w)
332 def decode(self, s, _w=WHITESPACE.match):
333 """Return the Python representation of ``s`` (a ``str`` instance
334 containing a JSON document).
335
336 """
--> 337 obj, end = self.raw_decode(s, idx=_w(s, 0).end())
338 end = _w(s, end).end()
339 if end != len(s):
File ~/.conda/envs/regional-mom6/lib/python3.11/json/decoder.py:353, in JSONDecoder.raw_decode(self, s, idx)
344 """Decode a JSON document from ``s`` (a ``str`` beginning with
345 a JSON document) and return a 2-tuple of the Python
346 representation and the index in ``s`` where the document ended.
(...)
350
351 """
352 try:
--> 353 obj, end = self.scan_once(s, idx)
354 except StopIteration as err:
355 raise JSONDecodeError("Expecting value", s, err.value) from None
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/fsspec/json.py:97, in FilesystemJSONDecoder.custom_object_hook(self, dct)
95 if "cls" in dct:
96 if (obj_cls := self.try_resolve_fs_cls(dct)) is not None:
---> 97 return AbstractFileSystem.from_dict(dct)
98 if (obj_cls := self.try_resolve_path_cls(dct)) is not None:
99 return obj_cls(dct["str"])
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/fsspec/spec.py:1556, in AbstractFileSystem.from_dict(dct)
1553 dct.pop("cls", None)
1554 dct.pop("protocol", None)
-> 1556 return cls(
1557 *json_decoder.unmake_serializable(dct.pop("args", ())),
1558 **json_decoder.unmake_serializable(dct),
1559 )
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/fsspec/spec.py:81, in _Cached.__call__(cls, *args, **kwargs)
79 return cls._cache[token]
80 else:
---> 81 obj = super().__call__(*args, **kwargs)
82 # Setting _fs_token here causes some static linters to complain.
83 obj._fs_token_ = token
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/fsspec/implementations/reference.py:770, in ReferenceFileSystem.__init__(self, fo, target, ref_storage_args, target_protocol, target_options, remote_protocol, remote_options, fs, template_overrides, simple_templates, max_gap, max_block, cache_size, **kwargs)
768 self.fss[k] = AsyncFileSystemWrapper(f, asynchronous=self.asynchronous)
769 elif self.asynchronous ^ f.asynchronous:
--> 770 raise ValueError(
771 "Reference-FS's target filesystem must have same value "
772 "of asynchronous"
773 )
ValueError: Reference-FS's target filesystem must have same value of asynchronous
the version will not work are
xarry version: 2025.6.1
fsspec version: 2025.7.0
zarr version: 3.1.1
s3fs version: 2025.7.0
where the version work are
xarry version: 2024.3.0
fsspec version: 2025.2.0
zarr version: 2.18.3
s3fs version: 2025.2.0
What did you expect to happen?
no error
Minimal Complete Verifiable Example
import xarray as xr
import fsspec
fs = fsspec.filesystem(
"reference",
fo='s3://noaa-oar-cefi-regional-mom6-pds/northwest_atlantic/full_domain/hindcast/monthly/regrid/r20230520/ssh.nwa.full.hcast.monthly.regrid.r20230520.199301-201912.json',
remote_protocol="s3",
remote_options={"anon":True}
)
ds = xr.open_dataset(fs.get_mapper(""), engine='zarr',backend_kwargs={"consolidated": False})MVCE confirmation
- Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
- Complete example — the example is self-contained, including all data and the text of any traceback.
- Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
- New issue — a search of GitHub Issues suggests this is not a duplicate.
- Recent environment — the issue occurs with the latest version of xarray and its dependencies.
Relevant log output
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[44], line 12
3 import zarr
5 fs = fsspec.filesystem(
6 "reference",
7 fo='s3://noaa-oar-cefi-regional-mom6-pds/northwest_atlantic/full_domain/hindcast/monthly/regrid/r20230520/ssh.nwa.full.hcast.monthly.regrid.r20230520.199301-201912.json',
8 remote_protocol="s3",
9 remote_options={"anon":True}
10 )
---> 12 ds = xr.open_dataset(fs.get_mapper(""), engine='zarr',backend_kwargs={"consolidated": False})
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/xarray/backends/api.py:571, in open_dataset(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, inline_array, chunked_array_type, from_array_kwargs, backend_kwargs, **kwargs)
559 decoders = _resolve_decoders_kwargs(
560 decode_cf,
561 open_backend_dataset_parameters=backend.open_dataset_parameters,
(...)
567 decode_coords=decode_coords,
568 )
570 overwrite_encoded_chunks = kwargs.pop("overwrite_encoded_chunks", None)
--> 571 backend_ds = backend.open_dataset(
572 filename_or_obj,
573 drop_variables=drop_variables,
574 **decoders,
575 **kwargs,
576 )
577 ds = _dataset_from_backend_dataset(
578 backend_ds,
579 filename_or_obj,
(...)
589 **kwargs,
590 )
591 return ds
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/xarray/backends/zarr.py:1170, in ZarrBackendEntrypoint.open_dataset(self, filename_or_obj, mask_and_scale, decode_times, concat_characters, decode_coords, drop_variables, use_cftime, decode_timedelta, group, mode, synchronizer, consolidated, chunk_store, storage_options, stacklevel, zarr_version)
1149 def open_dataset( # type: ignore[override] # allow LSP violation, not supporting **kwargs
1150 self,
1151 filename_or_obj: str | os.PathLike[Any] | BufferedIOBase | AbstractDataStore,
(...)
1167 zarr_version=None,
1168 ) -> Dataset:
1169 filename_or_obj = _normalize_path(filename_or_obj)
-> 1170 store = ZarrStore.open_group(
1171 filename_or_obj,
1172 group=group,
1173 mode=mode,
1174 synchronizer=synchronizer,
1175 consolidated=consolidated,
1176 consolidate_on_close=False,
1177 chunk_store=chunk_store,
1178 storage_options=storage_options,
1179 stacklevel=stacklevel + 1,
1180 zarr_version=zarr_version,
1181 )
1183 store_entrypoint = StoreBackendEntrypoint()
1184 with close_on_error(store):
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/xarray/backends/zarr.py:500, in ZarrStore.open_group(cls, store, mode, synchronizer, group, consolidated, consolidate_on_close, chunk_store, storage_options, append_dim, write_region, safe_chunks, stacklevel, zarr_version, write_empty)
498 zarr_group = zarr.open_consolidated(store, **open_kwargs)
499 else:
--> 500 zarr_group = zarr.open_group(store, **open_kwargs)
501 close_store_on_close = zarr_group.store is not store
502 return cls(
503 zarr_group,
504 mode,
(...)
510 close_store_on_close,
511 )
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/zarr/api/synchronous.py:531, in open_group(store, mode, cache_attrs, synchronizer, path, chunk_store, storage_options, zarr_version, zarr_format, meta_array, attributes, use_consolidated)
454 def open_group(
455 store: StoreLike | None = None,
456 *,
(...)
467 use_consolidated: bool | str | None = None,
468 ) -> Group:
469 """Open a group using file-mode-like semantics.
470
471 Parameters
(...)
528 The new group.
529 """
530 return Group(
--> 531 sync(
532 async_api.open_group(
533 store=store,
534 mode=mode,
535 cache_attrs=cache_attrs,
536 synchronizer=synchronizer,
537 path=path,
538 chunk_store=chunk_store,
539 storage_options=storage_options,
540 zarr_version=zarr_version,
541 zarr_format=zarr_format,
542 meta_array=meta_array,
543 attributes=attributes,
544 use_consolidated=use_consolidated,
545 )
546 )
547 )
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/zarr/core/sync.py:163, in sync(coro, loop, timeout)
160 return_result = next(iter(finished)).result()
162 if isinstance(return_result, BaseException):
--> 163 raise return_result
164 else:
165 return return_result
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/zarr/core/sync.py:119, in _runner(coro)
114 """
115 Await a coroutine and return the result of running it. If awaiting the coroutine raises an
116 exception, the exception will be returned.
117 """
118 try:
--> 119 return await coro
120 except Exception as ex:
121 return ex
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/zarr/api/asynchronous.py:838, in open_group(store, mode, cache_attrs, synchronizer, path, chunk_store, storage_options, zarr_version, zarr_format, meta_array, attributes, use_consolidated)
835 if chunk_store is not None:
836 warnings.warn("chunk_store is not yet implemented", RuntimeWarning, stacklevel=2)
--> 838 store_path = await make_store_path(store, mode=mode, storage_options=storage_options, path=path)
839 if attributes is None:
840 attributes = {}
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/zarr/storage/_common.py:363, in make_store_path(store_like, path, mode, storage_options)
359 if storage_options:
360 raise ValueError(
361 "'storage_options was provided but is not used for FSMap store_like objects. Specify the storage options when creating the FSMap instance instead."
362 )
--> 363 store = FsspecStore.from_mapper(store_like, read_only=_read_only)
364 else:
365 raise TypeError(f"Unsupported type for store_like: '{type(store_like).__name__}'")
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/zarr/storage/_fsspec.py:202, in FsspecStore.from_mapper(cls, fs_map, read_only, allowed_exceptions)
178 @classmethod
179 def from_mapper(
180 cls,
(...)
183 allowed_exceptions: tuple[type[Exception], ...] = ALLOWED_EXCEPTIONS,
184 ) -> FsspecStore:
185 """
186 Create a FsspecStore from a FSMap object.
187
(...)
200 FsspecStore
201 """
--> 202 fs = _make_async(fs_map.fs)
203 return cls(
204 fs=fs,
205 path=fs_map.root,
206 read_only=read_only,
207 allowed_exceptions=allowed_exceptions,
208 )
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/zarr/storage/_fsspec.py:57, in _make_async(fs)
55 fs_dict = json.loads(fs.to_json())
56 fs_dict["asynchronous"] = True
---> 57 return fsspec.AbstractFileSystem.from_json(json.dumps(fs_dict))
59 if fsspec_version < parse_version("2024.12.0"):
60 raise ImportError(
61 f"The filesystem '{fs}' is synchronous, and the required "
62 "AsyncFileSystemWrapper is not available. Upgrade fsspec to version "
63 "2024.12.0 or later to enable this functionality."
64 )
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/fsspec/spec.py:1480, in AbstractFileSystem.from_json(blob)
1459 """
1460 Recreate a filesystem instance from JSON representation.
1461
(...)
1476 at import time.
1477 """
1478 from .json import FilesystemJSONDecoder
-> 1480 return json.loads(blob, cls=FilesystemJSONDecoder)
File ~/.conda/envs/regional-mom6/lib/python3.11/json/__init__.py:359, in loads(s, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
357 if parse_constant is not None:
358 kw['parse_constant'] = parse_constant
--> 359 return cls(**kw).decode(s)
File ~/.conda/envs/regional-mom6/lib/python3.11/json/decoder.py:337, in JSONDecoder.decode(self, s, _w)
332 def decode(self, s, _w=WHITESPACE.match):
333 """Return the Python representation of ``s`` (a ``str`` instance
334 containing a JSON document).
335
336 """
--> 337 obj, end = self.raw_decode(s, idx=_w(s, 0).end())
338 end = _w(s, end).end()
339 if end != len(s):
File ~/.conda/envs/regional-mom6/lib/python3.11/json/decoder.py:353, in JSONDecoder.raw_decode(self, s, idx)
344 """Decode a JSON document from ``s`` (a ``str`` beginning with
345 a JSON document) and return a 2-tuple of the Python
346 representation and the index in ``s`` where the document ended.
(...)
350
351 """
352 try:
--> 353 obj, end = self.scan_once(s, idx)
354 except StopIteration as err:
355 raise JSONDecodeError("Expecting value", s, err.value) from None
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/fsspec/json.py:97, in FilesystemJSONDecoder.custom_object_hook(self, dct)
95 if "cls" in dct:
96 if (obj_cls := self.try_resolve_fs_cls(dct)) is not None:
---> 97 return AbstractFileSystem.from_dict(dct)
98 if (obj_cls := self.try_resolve_path_cls(dct)) is not None:
99 return obj_cls(dct["str"])
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/fsspec/spec.py:1556, in AbstractFileSystem.from_dict(dct)
1553 dct.pop("cls", None)
1554 dct.pop("protocol", None)
-> 1556 return cls(
1557 *json_decoder.unmake_serializable(dct.pop("args", ())),
1558 **json_decoder.unmake_serializable(dct),
1559 )
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/fsspec/spec.py:81, in _Cached.__call__(cls, *args, **kwargs)
79 return cls._cache[token]
80 else:
---> 81 obj = super().__call__(*args, **kwargs)
82 # Setting _fs_token here causes some static linters to complain.
83 obj._fs_token_ = token
File ~/.conda/envs/regional-mom6/lib/python3.11/site-packages/fsspec/implementations/reference.py:770, in ReferenceFileSystem.__init__(self, fo, target, ref_storage_args, target_protocol, target_options, remote_protocol, remote_options, fs, template_overrides, simple_templates, max_gap, max_block, cache_size, **kwargs)
768 self.fss[k] = AsyncFileSystemWrapper(f, asynchronous=self.asynchronous)
769 elif self.asynchronous ^ f.asynchronous:
--> 770 raise ValueError(
771 "Reference-FS's target filesystem must have same value "
772 "of asynchronous"
773 )
ValueError: Reference-FS's target filesystem must have same value of asynchronousAnything else we need to know?
the version will not work are
xarry version: 2025.6.1
fsspec version: 2025.7.0
zarr version: 3.1.1
s3fs version: 2025.7.0
where the version work are
xarry version: 2024.3.0
fsspec version: 2025.2.0
zarr version: 2.18.3
s3fs version: 2025.2.0
Environment
/home/chsu/.conda/envs/regional-mom6/lib/python3.11/site-packages/_distutils_hack/init.py:26: UserWarning: Setuptools is replacing distutils.
warnings.warn("Setuptools is replacing distutils.")
INSTALLED VERSIONS
commit: None
python: 3.11.9 | packaged by conda-forge | (main, Apr 19 2024, 18:36:13) [GCC 12.3.0]
python-bits: 64
OS: Linux
OS-release: 4.18.0-553.63.1.el8_10.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.14.3
libnetcdf: 4.9.2
xarray: 2025.6.1
pandas: 2.2.2
numpy: 1.26.4
scipy: 1.13.1
netCDF4: 1.6.5
pydap: installed
h5netcdf: None
h5py: None
zarr: 3.1.1
cftime: 1.6.4
nc_time_axis: None
iris: None
bottleneck: None
dask: 2024.5.2
distributed: 2024.5.2
matplotlib: 3.8.4
cartopy: None
seaborn: None
numbagg: None
fsspec: 2025.7.0
cupy: None
pint: None
sparse: 0.15.4
flox: None
numpy_groupies: None
setuptools: 70.0.0
pip: 24.0
conda: None
pytest: 8.2.2
mypy: None
IPython: 8.25.0
sphinx: None