updated CaSR notebook to access v3.2 data #371
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Diff coming from #371 ``` _______ pavics-sdi-master/docs/source/notebooks/CaSR_basic.ipynb::Cell 0 _______ Notebook cell execution failed Cell 0: Cell outputs differ Input: import xarray as xr url = "https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/dodsC/datasets/reanalyses/day_NAM_GovCan_CaSR_v32_1980-2024.ncml" # Open dataset. For hourly data, we suggest using the following chunking pattern: dict(time=1461, rlon=50, rlat=50) : 4 year chunks in time dim ds = xr.open_dataset(url, chunks=dict(time=1461, rlon=50, rlat=50)) ds Traceback: mismatch 'text/plain' assert reference_output == test_output failed: '<xarray.Data... CaSRv3.2' == '<xarray.Data... CaSRv3.2' - <xarray.Dataset> Size: 2TB ? ^ + <xarray.Dataset> Size: 1TB ? ^ Dimensions: (rlat: 778, rlon: 706, time: 16437) Coordinates: * rlat (rlat) float32 3kB -44.1 -44.01 -43.92 ... 25.65 25.74 25.83 * rlon (rlon) float32 3kB -35.4 -35.31 -35.22 ... 27.87 27.96 28.05 rotated_pole int32 4B ... * time (time) datetime64[ns] 131kB/DATE/... 2024-12-31 lat (rlat, rlon) float32 2MB dask.array<chunksize=(50, 50), meta=np.ndarray> lon (rlat, rlon) float32 2MB dask.array<chunksize=(50, 50), meta=np.ndarray> - Data variables: (12/49) ? ^ + Data variables: (12/41) ? ^ - orog (rlat, rlon) float32 2MB dask.array<chunksize=(50, 50), meta=np.ndarray> - sftgif (rlat, rlon) float32 2MB dask.array<chunksize=(50, 50), meta=np.ndarray> - sftlf (rlat, rlon) float32 2MB dask.array<chunksize=(50, 50), meta=np.ndarray> - sftlkf (rlat, rlon) float32 2MB dask.array<chunksize=(50, 50), meta=np.ndarray> - sftof (rlat, rlon) float32 2MB dask.array<chunksize=(50, 50), meta=np.ndarray> 20mWind (time, rlat, rlon) float32 36GB dask.array<chunksize=(1461, 50, 50), meta=np.ndarray> + 20mWinddir (time, rlat, rlon) float32 36GB dask.array<chunksize=(1461, 50, 50), meta=np.ndarray> + cfia (time, rlat, rlon) float32 36GB dask.array<chunksize=(1461, 50, 50), meta=np.ndarray> + hur (time, rlat, rlon) float32 36GB dask.array<chunksize=(1461, 50, 50), meta=np.ndarray> + hurmax (time, rlat, rlon) float32 36GB dask.array<chunksize=(1461, 50, 50), meta=np.ndarray> + hurmin (time, rlat, rlon) float32 36GB dask.array<chunksize=(1461, 50, 50), meta=np.ndarray> ... ... + vas (time, rlat, rlon) float32 36GB dask.array<chunksize=(1461, 50, 50), meta=np.ndarray> + winddir (time, rlat, rlon) float32 36GB dask.array<chunksize=(1461, 50, 50), meta=np.ndarray> + zcrd09975 (time, rlat, rlon) float32 36GB dask.array<chunksize=(1461, 50, 50), meta=np.ndarray> zcrd10000 (time, rlat, rlon) float32 36GB dask.array<chunksize=(1461, 50, 50), meta=np.ndarray> snd (time, rlat, rlon) float32 36GB dask.array<chunksize=(1461, 50, 50), meta=np.ndarray> snw (time, rlat, rlon) float32 36GB dask.array<chunksize=(1461, 50, 50), meta=np.ndarray> - ta (time, rlat, rlon) float32 36GB dask.array<chunksize=(1461, 50, 50), meta=np.ndarray> - tamax (time, rlat, rlon) float32 36GB dask.array<chunksize=(1461, 50, 50), meta=np.ndarray> - tamin (time, rlat, rlon) float32 36GB dask.array<chunksize=(1461, 50, 50), meta=np.ndarray> - Attributes: (12/30) ? ^^ + Attributes: (12/29) ? ^^ Conventions: CF-1.8 Remarks: Original variable names are following the conven... contact: doi: https://doi.org/10.5194/hess-25-4917-2021 - domain: NAM - frequency: fx ? ^^ + frequency: day ? ^^^ + history: DATE_TIME_NS: Variables converted ... ... ... format: netcdf description: Original data source: https://hpfx.collab.scienc... institute: Environment and Climate Change Canada institute_id: ECCC dataset_description: https://hpfx.collab.science.gc.ca/~scar700/rcas-... dataset_id: CaSRv3.2 _______ pavics-sdi-master/docs/source/notebooks/CaSR_basic.ipynb::Cell 1 _______ Notebook cell execution failed Cell 1: Cell outputs differ Input: from clisops.core import subset from dask.diagnostics import ProgressBar from matplotlib import pyplot as plt # Subset bounding box lon_bnds = [-70, -55] lat_bnds = [44, 55] # Loading the coordinate data speeds up the subsetting process a little for coord in ["lat", "lon"]: ds[coord] = ds[coord].load() # Subset bbox bbox = subset.subset_bbox( ds, lon_bnds=lon_bnds, lat_bnds=lat_bnds, start_date="1981", end_date="2010" ) # Subset gridpoint site = subset.subset_gridpoint(ds, lat=40, lon=-60) with xr.set_options(display_expand_data_vars=False, display_expand_coords=False): display(bbox) display(site) Traceback: mismatch 'text/plain' assert reference_output == test_output failed: '<xarray.Data... CaSRv3.2' == '<xarray.Data... CaSRv3.2' - <xarray.Dataset> Size: 45GB ? ^ + <xarray.Dataset> Size: 42GB ? ^ Dimensions: (rlat: 156, rlon: 150, time: 10957) Coordinates: (6) - Data variables: (49) ? ^ + Data variables: (41) ? ^ - Attributes: (12/30) ? ^^ + Attributes: (12/29) ? ^^ Conventions: CF-1.8 Remarks: Original variable names are following the conven... contact: doi: https://doi.org/10.5194/hess-25-4917-2021 - domain: NAM - frequency: fx ? ^^ + frequency: day ? ^^^ + history: DATE_TIME_NS: Variables converted ... ... ... format: netcdf description: Original data source: https://hpfx.collab.scienc... institute: Environment and Climate Change Canada institute_id: ECCC dataset_description: https://hpfx.collab.science.gc.ca/~scar700/rcas-... dataset_id: CaSRv3.2 _______ pavics-sdi-master/docs/source/notebooks/CaSR_basic.ipynb::Cell 4 _______ Notebook cell execution failed Cell 4: Cell outputs differ Input: bbox.rotated_pole Traceback: mismatch 'text/plain' assert reference_output == test_output failed: '<xarray.Data...ude_longitude' == '<xarray.Data...ude_longitude' Skipping 116 identical leading characters in diff, use -v to show Skipping 92 identical trailing characters in diff, use -v to show utes: + grid_north_pole_longitude: 87.59703130293302 north_pole_grid_longitude: 0.0 grid_north_pole_latitude: 31.758312454493154 - grid_north_pole_longitude: 87.59703130293302 eart ```
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