AI in weather forecasting, prediction and communication
Peter Neilley serves as director of weather forecasting sciences and technologies for The Weather Company. He leads a team of scientists, engineers, and forecasters responsible for all the weather content used and distributed by the company, whether to enterprise clients or direct to consumers from properties such as The Weather Channel app and weather.com.
Before joining The Weather Company, Peter was a scientist at the National Center for Atmospheric Research (NCAR), pursuing research in mesoscale weather forecasting, terrain-induced turbulence, and applications of machine learning.
Peter holds Ph.D. and master’s degrees from the Massachusetts Institute of Technology and a bachelor’s degree in meteorology from McGill University. He is a Fellow of the American Meteorological Society (AMS). He has been active in community service, including chairing the AMS Weather Analysis and Forecasting committee. He’s served as a member of the AMS Board on Data Stewardship, the AMS Committee on Open Environmental Information Services, the AMS Undergraduate Curricula Committed, and the AMS Fellows Committee.
In addition, he was a long-term member of NOAA’s Science Advisory Board’s Environmental Information Services Working Group (EISWG), co-chair of the UCAR Community Advisory Committee for National Centers for Environmental Prediction (UCACN), member of the UCACN Modelling Advisory Committee, member of the advisory boards for NCAR’s Mesoscale and Microscale Meteorology and Education and Outreach divisions, the NSF Observing Facility Assessment Panel, and the AMS Forecast Improvement Group.
He also serves on advisory boards for the University of Oklahoma College of Atmospheric and Geographic Sciences; University of Lowell Department of Environmental, Earth, and Atmospheric Sciences; and the Department of Atmospheric Sciences and Chemistry at Plymouth State University.