GribStream Blog
RAP model support and Skew-T examples
GribStream added NOAA RAP support and published a Python Skew-T log-P example.
On December 31, 2024, we added NOAA RAP (Rapid Refresh) to GribStream and published a Skew-T log-P example for rapid vertical-profile analysis.
About RAP
RAP is NOAA's hourly-updated mesoscale model for CONUS with a ~13 km grid and 54-hour forecast horizon. It focuses on boundary-layer and mesoscale evolution and is a key short-range input to downstream products like the NBM.
Why it matters
RAP's high-frequency cycles make it ideal for workflows that need rapid updates and short-range guidance: aviation, convective initiation, wind ramps, and fast-changing boundary-layer conditions.
Skew-T log-P example
We published a Python example showing how to fetch RAP profiles and render a Skew-T. This makes it easy to inspect stability, moisture profiles, and wind shear using historical or real-time runs.