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). 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.
