issues: 905452377

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
905452377 MDU6SXNzdWU5MDU0NTIzNzc= 5395 ValueError: unrecognized engine zarr must be one of: ['netcdf4', 'scipy', 'store'] 5797727 closed 0     6 2021-05-28T13:53:38Z 2021-12-07T19:44:04Z 2021-05-28T15:09:30Z NONE      

Hi,

I am trying to load MUR data from AWS on Google Colab just as Chelle did for her Pangeo tutorial. https://github.com/pangeo-gallery/osm2020tutorial/blob/master/AWS-notebooks/aws_mur_sst_tutorial_long.ipynb

What happened:

```python

ValueError Traceback (most recent call last)

<ipython-input-15-363886c4b27b> in <module>() 1 import xarray as xr 2 ----> 3 ds = xr.open_zarr('https://mur-sst.s3.us-west-2.amazonaws.com/zarr-v1',consolidated=True)

2 frames

/usr/local/lib/python3.7/dist-packages/xarray/backends/plugins.py in get_backend(engine) 133 if engine not in engines: 134 raise ValueError( --> 135 f"unrecognized engine {engine} must be one of: {list(engines)}" 136 ) 137 backend = engines[engine]

ValueError: unrecognized engine zarr must be one of: ['netcdf4', 'scipy', 'store'] ```

What you expected to happen:

Load Zarr data from S3.

Minimal Complete Verifiable Example:

python import xarray as xr ds = xr.open_zarr('https://mur-sst.s3.us-west-2.amazonaws.com/zarr-v1',consolidated=True)

Anything else we need to know?:

I am using Google Colab.

Environment:

Output of <tt>xr.show_versions()</tt> INSTALLED VERSIONS ------------------ commit: None python: 3.7.10 (default, May 3 2021, 02:48:31) [GCC 7.5.0] python-bits: 64 OS: Linux OS-release: 5.4.109+ machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: 1.12.0 libnetcdf: 4.7.4 xarray: 0.18.2 pandas: 1.1.5 numpy: 1.19.5 scipy: 1.4.1 netCDF4: 1.5.6 pydap: None h5netcdf: None h5py: 3.1.0 Nio: None zarr: 2.8.3 cftime: 1.5.0 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: 1.3.2 dask: 2.12.0 distributed: 1.25.3 matplotlib: 3.2.2 cartopy: None seaborn: 0.11.1 numbagg: None pint: None setuptools: 56.1.0 pip: 19.3.1 conda: None pytest: 3.6.4 IPython: 5.5.0 sphinx: 1.8.5 
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   completed 13221727 issue

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