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.

Deploying large networks of ground-based methane detectors could help detect pipeline leaks, improve climate models, and regulate emission sources.

With Alabama A&M University, we are identifying opportunities to apply new remote sensing concepts to improve groundwater measurements and models.  These models can inform decisions related to agriculture, land use, human health and wellness, and geopolitical stability.

We are developing a compact and encapsulated optical salinity sensor to enable more distributed and persistent monitoring of the ocean’s 3D structure.

We are developing a neural network using data derived from satellite measurements of temperature and humidity to improve drought monitoring and forecasting.

We are designing a satellite-based lidar system to categorize aerosols in the atmosphere.

We are creating proactive, integrated decision -support tools and services that empower frontline communities to prepare for climate impacts and minimize losses.  

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

We are investigating the use of novel imaging technologies for detecting and quantifying methane emissions in the atmosphere.