alaska_et_2020 Conversion to Zarr

Checklist for Workflow associated with dataset conversion:

Dataset Name: Gridded 20km Daily Reference Evapotranspiration for the State of Alaska from 1979 to 2017

https://cida.usgs.gov/thredds/catalog.html?dataset=cida.usgs.gov/alaska_et_2020/gfdl_historical_simulation https://cida.usgs.gov/thredds/catalog.html?dataset=cida.usgs.gov/alaska_et_2020/ccsm4_historical_simulation https://cida.usgs.gov/thredds/catalog.html?dataset=cida.usgs.gov/alaska_et_2020/era-interim_reanalysis

https://cida.usgs.gov/thredds/catalog/demo/thredds/alaska_et_2020/catalog.html

3 instances of 1 variable @ 261 X 261 X 22325 natively stored in annual NetCDF files.

Suggest working converting directly from OPeNDAP to avoid file diversity. Should be able to request ~100 time steps at a time.

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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.