
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
(2025-04-14)
Snow is an important part of the water cycle in the west. The recent NSF-sponsored field campaign Snow Sensitivity to Clouds in a Mountain Environment (S2noCliME) collected data during the 2024-2025 winter season around Steamboat Springs, CO to better understand winter cloud and precipitation processes in an orographic environment. Seven members of the Bell group including Instrument PI Brenda Dolan and Co-PI Michael Bell, Research Scientist Jen DeHart, graduate students Delián Colón-Burgos, Lauren Beard, Nick Mesa, and Meghan Stell. Other members of the Atmospheric Science Department and CIRA (Olivia Lee, Anastasia Tomanek, Marie McGraw, and James Larson) helped to keep the radar running and clear of snow over the 16 week season with engineering support from Professor V. Chandraskar and Radar Engineer Jim George in the ECE Department.
(2025-04-12)
(2024-12-03)
Highlights of our team research activity