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weather-model-data-fetching

authentic

Retrieve numerical weather prediction data from public AWS S3 and HTTP archives using GRIB2 inventories, byte ranges, Herbie, provider fallbacks, and verified caching.

When to use

• A task needs GFS, GEFS, HRRR, RAP, NAM, IFS, or similar model output.
• Data lives in a public AWS S3 bucket, NOMADS, or a public cloud mirror.
• The input is GRIB2 and only selected variables or levels are needed.
• A point, sounding, time series, map, or batch job needs a reliable fetch path.
• A download is missing, partial, unexpectedly large, slow, or hard to resume.

When not to use

• Provider key layouts, retention windows, model schedules, and Herbie templates
• Variable subsetting requires a usable remote inventory. Without one, download
• This skill does not validate forecast skill, scientific suitability, or

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