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Forecast Verification Project for Denver International Airport
A new study led by GSL and Cooperative Institute for Research in the Atmosphere (CIRA) scientists investigates the skill of various forecasting tools in predicting severe winter weather.
Aviation managers are often faced with many forecasting options to help make decisions. In winter, these forecasts are used to decide which snow alert level to declare and when to declare it. Snow alerts have significant impacts for airport operations, and for the customers who rely on them.
A recent study, led by NOAA GSL scientists, investigated the skill of four meteorological models in predicting snowfall for decision-making at Denver International Airport.
This study was novel in its use of operational evaluation, which means it verified forecasts in the specific context of airport management. Most verification processes are general, but this study emphasized the importance of mimicking the context in which the forecasting is actually taking place. Operations and maintenance at DIA were regarded as the primary stakeholders throughout the study. The research team conducted interviews and shadowed staff at DIA to understand how the forecast information is used.
Learn more about the methods and conclusions through this story map!