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- Bias correction of numerical prediction model temperature forecast →
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- Resolve exact data files and digests through qualified isolated ingestion.
- Audit data schema, provenance and license conditions before designing a bounded analysis.
- Freeze preprocessing, splits, metrics, runtime requirements and budget before execution.
Limits to keep in view
- No dataset contents, dependency compatibility, runtime cost or scientific result was checked.
- Grouping, timing or identifiers needed by the proposed protocol may be absent; report that limitation rather than inventing split labels.
- Large or specialized sources may require a predetermined subset or a broader qualified runtime; no resource fit is established.
- The qualified self-contained Python 3.13 pilot is not evidence that this dataset or its usual analysis packages can run.
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