Chris Slocum
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. He has published many
scientific journal publications, technical reports, and has made presentations at numerous
scientific meetings.
Dr. Slocum earned a B.S. in Meteorology (2011) from The Pennsylvania State University,
and a Masters (2013) and Ph.D. (2018) in Atmospheric Science from Colorado State University.
He continued as a Postdoctoral Fellow and later as a Research Scientist at the
Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University
before joining the Regional and Mesoscale Meteorology (RAMM) Branch of NOAA/NESDIS/STAR
as a Physical Scientist in 2019.
Chris Slocum
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. He has published many
scientific journal publications, technical reports, and has made presentations at numerous
scientific meetings.