bcca Conversion to Zarr
Checklist for Workflow associated with dataset conversion:
Dataset Name:
Statistically downscaled GCM data using Bias Corrected Constructed Analogs Daily CMIP3 Climate Projections V2
Statistically downscaled GCM data using Bias Corrected Constructed Analogs Daily CMIP5 Climate Projections V2
https://cida.usgs.gov/thredds/catalog.html?dataset=cida.usgs.gov/cmip5_bcca/historical https://cida.usgs.gov/thredds/catalog.html?dataset=cida.usgs.gov/cmip5_bcca/future
https://cida.usgs.gov/thredds/catalog/demo/thredds/bcca/cmip5/catalog.html
https://cida.usgs.gov/thredds/catalog/demo/thredds/bcca/cmip3/catalog.html
Should be able to follow LOCA pattern with this one. It is VERY large and NetCDF files have unique variable names.
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Identify Source Data location and access (check the dataset spreadsheet) -
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Collect ownership information (Who do we ask questions of if we have problems?) -
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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/®ion=us-west-2) -
Calculate chunking, layout, compression, etc -
Run notebook -
Read test (pattern to be determined by the dataset)
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Create STAC catalog entry; -
Verify all metadata -
Create entry
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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
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Merge and close the issue.
Edited by Blodgett, David L.