TopoWx2017 Conversion to Zarr

Checklist for Workflow associated with dataset conversion:

Dataset Name: TopoWx: Topoclimatic Daily Air Temperature Dataset for the Conterminous United States

https://cida.usgs.gov/thredds/catalog.html?dataset=cida.usgs.gov/topowx
https://cida.usgs.gov/thredds/catalog.html?dataset=cida.usgs.gov/topowx_monthly
https://cida.usgs.gov/thredds/catalog.html?dataset=cida.usgs.gov/topowx_normals

https://cida.usgs.gov/thredds/catalog/demo/thredds/TopoWx2017/catalog.html

Daily is 25k time steps. Other domains are much smaller.

Suggest aggregating to ZARR from OPeNDAP to avoid reproducing ncml aggregation.

    Float64 lat[lat = 3250];
    Float64 lon[lon = 7000];
    Int16 crs;
    Float64 time[time = 25203];

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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)
• 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.