blaylockbk/Herbie — Download numerical weather prediction datasets (HRRR, RAP, GFS, IFS, etc.) from NOMADS, NODD partner…

Description and use

The **Herbie** library provides a simple, command‑line and Python interface for automatically locating and downloading the latest numerical weather prediction (NWP) files—from sources such as NOAA’s NOMADS, partner cloud archives (Amazon, Google, Microsoft), ECMWF open data, and the University of Utah’s Pando Archive. It streamlines access to a wide range of model datasets (HRRR, RAP, GFS, IFS, etc.), making it easier for developers, researchers, and marketers to integrate up‑to‑date forecast data into their applications.

Problem

blaylockbk/Herbie helps convert raw data into searchable, analyzable, or automated pipelines.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• organize analytics pipelines
• process datasets
• improve reporting workflows

Evidence

Download numerical weather prediction datasets (HRRR, RAP, GFS, IFS, etc.) from NOMADS, NODD partners (Amazon, Google, Microsoft), ECMWF open data, and the University of Utah Pando Archive System.

Source