CA-BCM-2014 Conversion to Zarr

****If this one is not easy to convert, we should just archive it.

Checklist for Workflow associated with dataset conversion:

Dataset Name: California Basin Characterization Model Downscaled Climate and Hydrology

https://cida.usgs.gov/thredds/CA-BCM-Catalog.html?dataset=cida.usgs.gov/CA-BCM-2014/future
https://cida.usgs.gov/thredds/CA-BCM-Catalog.html?dataset=cida.usgs.gov/CA-BCM-2014/historical

https://cida.usgs.gov/thredds/catalog/demo/thredds/CA-BCM-2014/catalog.html

Large spatial and temporal domain and semi-complex joins with many variables. This one may be tricky.

    Float64 x[x = 3486];
    Float64 y[y = 4477];
    Int32 time[time = 1380];

Test OPeNDAP speed and triage.

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• Identify Source Data location and access (check the dataset spreadsheet)

• Collect ownership information (Who do we ask questions of if we have problems?)

• Create new workflow notebook from template; stash in the ./workflows folder tree in an appropriate spot.
  • Identify landing spot on S3 (currently somewhere in: https://s3.console.aws.amazon.com/s3/buckets/nhgf-development?prefix=workspace/&region=us-west-2)
  • Calculate chunking, layout, compression, etc
  • Run notebook
  • Read test (pattern to be determined by the dataset)
• Create STAC catalog entry;
  • Verify all metadata
  • Create entry
• Reportage
  • add notebook and the dask performance report to the repo
  • Calculate summary statistics on output (compression ratio, total size)
  • Save STAC JSON snippet to repo
• Merge and close the issue.