domains / families / science / weather-data-reproducibility

weather-data-reproducibility

authentic

Record and verify provenance manifests for weather-data inputs and derived artifacts, including object identity, selections, software versions, transformations, and hashes.

When to use

• A map, sounding, time series, dataset, or benchmark must be auditable.
• Weather inputs came from mutable URLs, mirrors, byte-range subsets, or caches.
• A result must distinguish model initialization, forecast lead, and valid time.
• Temporary GRIB2, NetCDF, radar, satellite, or observation files will be
• Two outputs differ and their inputs or processing environment must be compared.
• A publication or release needs machine-readable data and software provenance.

When not to use

• A manifest cannot restore data that was deleted from a mutable source unless
• Exact replay may require licensed software, hardware, or provider access not
• Provenance establishes lineage and integrity; it does not establish forecast

Skill page

Source