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.