Colorado State University TC-RAMS team
Colorado State University TC-RAMS team
Colorado State University TC-RAMS team
Colorado State University TC-RAMS team
Colorado State University is a world leader in hurricane research and forecasting. Our group continues the long CSU tradition in hurricane forecasting with continually improving techniques for predicting tropical cyclone activity powered by cutting-edge new research.
Our team develops new software and AI tools that enable better data analysis and forecasts of high-impact weather. These tools include open source software for analyzing weather lidar and radar data, and AI products for better forecasts of hurricanes.
We collect data in field experiments to better study the atmosphere around the world. We manage and deploy the CSU SEA-POL radar, an NSF Community Facility, along with other weather radars on land, ships, aircraft, and satellites to study clouds and precipitation.
Our research team uses a combination of theoretical and numerical models to improve our understanding and prediction of extreme weather. The primary targets of our research are on high-impact tropical weather, including hurricanes, heavy rain, and El Nino impacts.
What's happening in the group
(2024-12-03)
Tyler Barbero, a PhD candidate in Professor Bell’s Tropical Cyclones, Radar, Atmospheric Modeling, and Software Team (TC-RAMS) was awarded the William M. Gray award for the best technical manuscript submitted for publication during the previous 18-month period on research advancing understanding of the physics and dynamics of the tropical atmosphere and ocean.
Congratulations Tyler!
The William M. Gray award was established in 2023 to honor the substantial contributions the late Bill Gray made to tropical meteorolgoy and hurricane research. William ‘Bill’ Gray was a professor at CSU from 1961 until his retirement in 2005. The Gray award includes scholarship funding that has been provided through an endowment from Gray’s family.
His legacy goes far beyond the seminal research papers that he published and includes the many graduate students he mentored and the more than 30 years of seasonal hurricane forecasts that he
made for the Atlantic.
(2024-12-03)
(2024-11-20)
Highlights of our team research activity
