NOAA UFS-WM Regression Tests: 123 Tests for Weather Model Validation

The Unified Forecast System Weather Model (UFS-WM) regression test suite includes 123 tests to validate code changes for NOAA's operational numerical weather prediction. The tests, developed by NOAA, use input data like initial conditions and climatology data, with results logged and committed alongside code updates. The framework supports applications including global weather, hurricane, and seasonal forecasts.

Use Cases

• Validate numerical weather prediction model changes based on regression test logs
• Monitor model stability for operational forecasts like hurricane prediction based on the described test framework
• Generate new baseline data for confirmed model updates based on the regression test process

Strengths

• Includes 123 specific regression tests for model validation
• Framework supports multiple operational applications including global weather and hurricane forecasts
• Maintained by NOAA for its primary operational weather prediction system

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Last update date is unknown; freshness unverified

Provenance

Source

NOAA

Collection Method

Generated by the UFS-WM regression test framework to validate code changes.

Time Range

unknown

Freshness

unknown

Geography

unknown