Use of numerical weather prediction (NWP) models to identify convective outflows for fire weather forecasting
Numerical weather prediction (NWP) models can produce high-resolution forecasts of gust front conditions, and identifying these conditions from the model outputs may provide enhanced fire weather guidance. Abrupt changes in wind direction and speed can dramatically impact wildfire development and spread. Most importantly, such changes can pose significant problems to firefighting efforts and have resulted in a number of fire fatalities over the years. Frequent causes of such wind shifts are thunderstorm and convective system outflows, known as gust fronts, and the identification and prediction of these present critical challenges for fire weather forecasters. Anticipating and warning of these phenomena in wildland fire situations thus represent opportunities for enhancing the safety of incident personnel and the effectiveness of the firefighting operations. With these considerations we have developed a software tool to identify and depict convective outflow boundaries in high-resolution numerical weather prediction (NWP) models to provide guidance for fire weather forecasting.