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 in a learned behavior forecaster tool kit,
• The optimal method for using atmospheric model data to feed plume dispersion models,
• The application of improved climatological techniques to planning applications,
• Analysis 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 tropical and noreaster storms,
• Analysis of historical winds for use in wind energy resource assessment and short term wind and energy forecasting,
• Development of high resolution coastal forecasting techniques for offshore wind energy.

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