```
  _ PAVICS-landing-fix_nbs_jupyter_alpha_refresh_output/content/notebooks/climate_indicators/PAVICStutorial_ClimateDataAnalysis-2Subsetting.ipynb::Cell 0 _
  Notebook cell execution failed
  Cell 0: Cell outputs differ

  Input:
  import warnings

  import xarray as xr
  from IPython.display import display  # Fancy representation of xarray objects
  from siphon.catalog import TDSCatalog

  warnings.simplefilter("ignore")
  url = "https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/catalog/datasets/simulations/bias_adjusted/cmip5/ouranos/cb-oura-1.0/catalog.xml"  # TEST_USE_PROD_DATA

  # Create Catalog
  cat = TDSCatalog(url)

  # DAP link for this demo
  ds_url = cat.datasets[0].access_urls["OPENDAP"]

  # xarray.Dataset
  ds = xr.open_dataset(ds_url, chunks=dict(time=256 * 2, lon=32, lat=32))
  display(ds)
  a = ds.tasmin.isel(time=0).plot(figsize=(10, 4))

  Traceback:
   mismatch 'text/plain'

   assert reference_output == test_output failed:

    '<xarray.Data...id:       NCC' == '<xarray.Data...id:       NCC'

    Skipping 957 identical leading characters in diff, use -v to show
    -   driving_experiment:         historical,rcp85
    +   driving_model:              NorESM1-M
          ...                         ...
          frequency:                  day
          modeling_realm:             atmos
          target_dataset:             CANADA : ANUSPLIN interpolated Canada daily 3...
          target_dataset_references:  CANADA : https://doi.org/10.1175/2011BAMS3132...
          driving_institution:        Norwegian Climate Centre
          driving_institute_id:       NCC

  _ PAVICS-landing-fix_nbs_jupyter_alpha_refresh_output/content/notebooks/climate_indicators/PAVICStutorial_ClimateDataAnalysis-2Subsetting.ipynb::Cell 1 _
  Notebook cell execution failed
  Cell 1: Cell outputs differ

  Input:
  from clisops.core import subset

  lon = [-75.4, -85, -65.5]  # Longitude
  lat = [46.67, 41, 55.3]  # Latitude

  ds_gridpoint = subset.subset_gridpoint(ds, lon=lon, lat=lat)
  display(ds_gridpoint)

  # Plot first year of tasmax data
  a = ds_gridpoint.tasmax.isel(time=slice(0, 365)).plot.line(x="time", figsize=(10, 4))

  Traceback:
   mismatch 'text/plain'

   assert reference_output == test_output failed:

    '<xarray.Data...id:       NCC' == '<xarray.Data...id:       NCC'

    Skipping 892 identical leading characters in diff, use -v to show
    -   driving_experiment:         historical,rcp85
    +   driving_model:              NorESM1-M
          ...                         ...
          frequency:                  day
          modeling_realm:             atmos
          target_dataset:             CANADA : ANUSPLIN interpolated Canada daily 3...
          target_dataset_references:  CANADA : https://doi.org/10.1175/2011BAMS3132...
          driving_institution:        Norwegian Climate Centre
          driving_institute_id:       NCC

  _ PAVICS-landing-fix_nbs_jupyter_alpha_refresh_output/content/notebooks/climate_indicators/PAVICStutorial_ClimateDataAnalysis-2Subsetting.ipynb::Cell 3 _
  Notebook cell execution failed
  Cell 3: Cell outputs differ

  Input:
  # Specify the longitude and latitude boundaries
  lon_bnds = [-80.5, -60.2]
  lat_bnds = [44, 55]

  ds1 = subset.subset_bbox(ds, lon_bnds=lon_bnds, lat_bnds=lat_bnds)
  display(ds1)

  # Plot a map of first timestep
  a = ds1.tasmax.isel(time=0).plot()

  Traceback:
   mismatch 'text/plain'

   assert reference_output == test_output failed:

    '<xarray.Data...id:       NCC' == '<xarray.Data...id:       NCC'

    Skipping 955 identical leading characters in diff, use -v to show
    -   driving_experiment:         historical,rcp85
    +   driving_model:              NorESM1-M
          ...                         ...
          frequency:                  day
          modeling_realm:             atmos
          target_dataset:             CANADA : ANUSPLIN interpolated Canada daily 3...
          target_dataset_references:  CANADA : https://doi.org/10.1175/2011BAMS3132...
          driving_institution:        Norwegian Climate Centre
          driving_institute_id:       NCC
```

```
  _ PAVICS-landing-fix_nbs_jupyter_alpha_refresh_output/content/notebooks/climate_indicators/PAVICStutorial_ClimateDataAnalysis-3Climate-Indicators.ipynb::Cell 2 _
  Notebook cell execution failed
  Cell 2: Cell outputs differ

  Input:
  import xclim

  # Access some station data
  url = "https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/dodsC/datasets/station_obs/ECCC_AHCCD_gen3_temperature.ncml"
  ds_stat = xr.open_dataset(url, chunks=dict(station=1))
  istat = 115
  # Compare use of differernt percent tolerance levels  (tolerance == 0.1)
  plt.figure(figsize=(15, 10))
  color = ["blue", "green", "orange"]

  for i, tol in enumerate([0.25, 0.1, 0.05]):
      plt.subplot(3, 1, i + 1)
      with xclim.set_options(
          check_missing="pct", missing_options={"pct": {"tolerance": tol}}
      ):
          # compute yearly max tasmax
          tx_mean = xclim.atmos.tx_mean(
              tasmax=ds_stat.isel(station=istat).tasmax, freq="YS"
          )

          tx_mean.plot(
              marker="o",
              color=color[i],
              label=f"{len(tx_mean.dropna('time').values)} \
                       valid years w/ <={tol*100}% missing data",
          )
          plt.title("")
          plt.xlabel("")
          if i == 0:
              name = str(ds_stat.isel(station=istat).station_name.values)
              plt.title(f"{name.capitalize().replace('_',' ')} Station")

          elif i == 2:
              plt.xlabel("time")

          plt.legend(loc="lower right")

  Traceback:
  Unexpected output fields from running code: {'stderr'}
```

Attempt to fix the following error:
```
  _ PAVICS-landing-fix_nbs_jupyter_alpha_refresh_output/content/notebooks/climate_indicators/PAVICStutorial_ClimateDataAnalysis-3Climate-Indicators.ipynb::Cell 2 _
  Notebook cell execution failed
  Cell 2: Cell outputs differ

  Input:
  import xclim

  # Access some station data
  url = "https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/dodsC/datasets/station_obs/ECCC_AHCCD_gen3_temperature.ncml"
  ds_stat = xr.open_dataset(url, chunks=dict(station=1))
  istat = 115
  # Compare use of differernt percent tolerance levels  (tolerance == 0.1)
  plt.figure(figsize=(15, 10))
  color = ["blue", "green", "orange"]

  for i, tol in enumerate([0.25, 0.1, 0.05]):
      plt.subplot(3, 1, i + 1)
      with xclim.set_options(
          check_missing="pct", missing_options={"pct": {"tolerance": tol}}
      ):
          # compute yearly max tasmax
          tx_mean = xclim.atmos.tx_mean(
              tasmax=ds_stat.isel(station=istat).tasmax, freq="YS"
          )

          tx_mean.plot(
              marker="o",
              color=color[i],
              label=f"{len(tx_mean.dropna('time').values)} \
                       valid years w/ <={tol*100}% missing data",
          )
          plt.title("")
          plt.xlabel("")
          if i == 0:
              name = str(ds_stat.isel(station=istat).station_name.values)
              plt.title(f"{name.capitalize().replace('_',' ')} Station")

          elif i == 2:
              plt.xlabel("time")

          plt.legend(loc="lower right")

  Traceback:
  Missing output fields from running code: {'stderr'}
```

…nbs_jupyter_alpha_refresh_output

…into fix_nbs_jupyter_alpha

� Conflicts:
�	content/notebooks/climate_indicators/PAVICStutorial_ClimateDataAnalysis-2Subsetting.ipynb
�	content/notebooks/climate_indicators/PAVICStutorial_ClimateDataAnalysis-3Climate-Indicators.ipynb
�	content/notebooks/climate_indicators/PAVICStutorial_ClimateDataAnalysis-4Ensembles.html
�	content/notebooks/climate_indicators/PAVICStutorial_ClimateDataAnalysis-4Ensembles.ipynb
�	content/notebooks/climate_indicators/PAVICStutorial_ClimateDataAnalysis-5Visualization.ipynb
�	content/notebooks/climate_indicators/output.zip
�	src/assets/notebooks/PAVICStutorial_ClimateDataAnalysis-4Ensembles.html

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