Research

With considerable scientific, academic, and operational experience, WeatherFlow team members have collaborated with academic, government, and industry researchers on topics covering a wide range of the atmospheric and oceanographic sciences.  Topics have included:

- the use of artificial intelligence techniques to develop a learned behavior tool kit for forecasters,
- the optimal method for using atmospheric model data to feed plume dispersion models,
- the application of improved climatological techniques in different planning applications,
- examination of metrics on the impact of forecast accuracy and delivery on operational decisions,
- improving the incorporation of weather data into radar propagation models,
- the integration of multiple data sources to improve predictions of inundation during storms,
- analysis of historical winds for use in wind energy resource assessment and other problems.

WeatherFlow’s personnel have actively collaborating on these and other projects, supported by funding that includes SBIR programs and a variety of government and other sources.