ocean-forecast-data-preprocess

This Skill preprocesses ocean forecast NC data into NPY-ready datasets by enforcing strict temporal ordering and variable consistency. It generates time_index.json, var_names.json, and preprocess_manifest.json to ensure data traceability for model training workflows.

Variable consistency in NetCDF forecast data is validated through data inspection and optional masking of static variables. The Skill enforces variable validation and generates a preprocess_manifest.json to track data integrity for downstream model loaders.

Yes, generating metadata files for NPY datasets converted from NC format is a core feature. The Skill outputs time_index.json, var_names.json, and preprocess_manifest.json to provide complete metadata for downstream model training workflows.

Yes, this NC to NPY preprocessor handles time-ordered time-series data by enforcing strict temporal ordering during the conversion process. It preserves chronological order in the output NPY datasets specifically for time-series forecasting workflows.

Preprocessing ocean forecast data without strict time ordering breaks temporal consistency for time-series forecasting. This Skill prevents such issues by enforcing strict time ordering and variable validation before generating the final NPY datasets.