Projects

A low-cost technology can increase the number and quality of wind and temperature atmospheric observations made by aircraft to improve forecasts.

An algorithm uses camera imagery to estimate visibility for pilots flying in remote areas that lack weather sensors.

A radar and guidance system enables uncrewed aircraft systems (UAS) to avoid collisions with other aircraft, allowing the Department of Defense to operate UAS in the National Airspace System.

By compiling lightning data, satellite imagery, and numerical weather models, the GSWR provides radar-like analyses and forecasts over regions not observed by actual weather radars.

We compiled a massive open-source dataset to develop deep learning models capable of detecting and predicting tornadoes.