Open jbusecke opened 4 months ago
When running virtual-zarr-script.py the xr dataset read from the json reference does not retain the time encoding.
Dataset before mean: <xarray.Dataset> Size: 73MB Dimensions: (time: 240, lat: 192, bnds: 2, lon: 384) Coordinates: height (time) float64 2kB dask.array<chunksize=(60,), meta=np.ndarray> * lat (lat) float64 2kB -89.28 -88.36 -87.42 ... 87.42 88.36 89.28 * lon (lon) float64 3kB 0.0 0.9375 1.875 2.812 ... 357.2 358.1 359.1 * time (time) float64 2kB 6.028e+04 6.031e+04 ... 6.752e+04 6.755e+04 Dimensions without coordinates: bnds Data variables: lat_bnds (time, lat, bnds) float64 737kB dask.array<chunksize=(1, 192, 2), meta=np.ndarray> lon_bnds (time, lon, bnds) float64 1MB dask.array<chunksize=(1, 384, 2), meta=np.ndarray> tas (time, lat, lon) float32 71MB dask.array<chunksize=(1, 192, 384), meta=np.ndarray> time_bnds (time, bnds) float64 4kB dask.array<chunksize=(1, 2), meta=np.ndarray> Attributes: (12/44) Conventions: CF-1.7 CMIP-6.2 activity_id: ScenarioMIP branch_method: standard branch_time_in_child: 60265.0 branch_time_in_parent: 60265.0 cmor_version: 3.4.0 ... ... sub_experiment_id: none table_id: Amon table_info: Creation Date:(09 May 2019) MD5:e6ef8ececc8f33864... title: MPI-ESM1-2-HR output prepared for CMIP6 variable_id: tas variant_label: r1i1p1f1
I think for this to work we need to wait for a solution to https://github.com/TomNicholas/VirtualiZarr/issues/117 (see https://github.com/TomNicholas/VirtualiZarr/pull/122).
When running virtual-zarr-script.py the xr dataset read from the json reference does not retain the time encoding.
I think for this to work we need to wait for a solution to https://github.com/TomNicholas/VirtualiZarr/issues/117 (see https://github.com/TomNicholas/VirtualiZarr/pull/122).