Projects

With MIT AeroAstro, we are developing forecasts and decision support tools to aid air traffic controllers in avoiding the formation of persistent contrails, which are increasingly considered to have a substantial impact on climate warming.

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

A constellation of small satellites is collecting rapidly refreshed weather data to advance studies of hurricane structure and intensity and improve forecasts.

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.

The Laboratory's long-term collaboration with NOAA and NASA on environmental monitoring satellites has led to revolutionized weather imagery and products and improved detection for space and solar phenomena.