This forecast system utilizes the method of combining interest maps at each forecast epoch. The interest maps are based on feature extraction using functional template correlation and advection. Each feature contributes differently at each forecast epoch. Accordingly, this system emphasizes small scale forcing (e.g. storm initiation, growth, and dissipation) during the 0 - 60 min forecast range and larger scale forcing (e.g. fronts) for the 60 - 120 min forecast range, and each forcing is advected with it own motion field.
This talk will review (1) the basic meteorological data utilized in the forecast, (2) the features having the greatest influence at each forecast horizon, and (3) the methods used to combine the features in order to generate the sequence of forecasts. Finally, we will discuss the Lincoln Laboratory vision of the role that weather information can play in reducing air traffic congestion in the en-route air space.
* This work was sponsored by the Federal Aviation Administration under Air Force Contract No. F19628-00-C-0002. The views expressed are those of the authors and do not reflect the official policy or position of the U.S. Government. Opinions, interpretations, conclusions, and recommendations are those of the authors and are not necessarily endorsed by the US Government.