The Verification and Validation (V&V) Dashboard provides an interactive interface for assessing forecast performance across a range of atmospheric variables, pressure levels, and statistical metrics. Users can dynamically select variables such as temperature, wind, surface pressure, and geopotential height, as well as performance metrics including Mean Error (ME) and Root Mean Square Error (RMSE). Results can be visualized as time-series plots of model errors across forecast lead times, allowing straightforward comparisons between modeling systems (e.g., experimental configurations versus operational baselines like the Global Forecast System (GFS) and High-Resolution Rapid Refresh (HRRR)) . Rapid filtering of variables and metrics helps researchers and developers quickly diagnose model biases, evaluate forecast skill, and track improvements across different atmospheric layers spanning the surface through the upper troposphere.
Start date: 2024-02-01 00Z
End date: 2025-01-31 18Z
Initializations every 30 hours.
These plots are associated with model runs staggered across different forecast cycles (00Z, 06Z, 12Z, and 18Z) approximately every fourth day to capture varying points within the diurnal cycle. As a result, the displayed plots are static and represent model runs performed slightly less than once per day over the course of a full year.
