Chris Slocum is a Physical Scientist with the NOAA/NESDIS/StAR/CoRP Regional and Mesoscale Meteorology Branch (RAMMB). He specializes in tropical and satellite meteorology specifically tropical cyclone dynamics, applications from geostationary platforms, and machine learning. His current research emphasis includes exploring machine learning applications to improve short-term forecasts and blend data from geostationary and polar-orbiting satellites.
Chris focused on how processes in the inner-core of tropical cyclones impact storm intensity and storm structure for his Ph.D. work at CSU. He joined CIRA as a postdoctoral fellow in 2017 to leverage those ideas to develop tropical cyclone rapid intensification and genesis products using the GOES-R series of satellites and continued as a Research Scientist before starting with NOAA.
- Atmospheric Fluid Dynamics
- Tropical Cyclones & Meteorology
- Satellite Meteorology
- Machine Learning
- Model & Forecast Validation
- Ph.D. in Atmospheric Science, Colorado State University, 2018
- M.S. in Atmospheric Science, Colorado State University, 2013
- B.S. in Meteorology, The Pennsylvania State University, 2011
- Physical Scientist, NOAA/NESDIS/StAR/CoRP/RAMMB, 2019 – Present
- Research Scientist/Scholar I, CIRA, 2019
- Postdoctoral Fellow, CIRA, 2017 – 2019
- Graduate Research Assistant, Colorado State Univ., 2011 – 2017