Dr. David Harrison is a research meteorologist employed by the University of Oklahoma’s Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) in partnership with the National Weather Service’s Storm Prediction Center (SPC). David earned his B.S. in Meteorology from the University of Oklahoma in 2016, his M.S. in Meteorology from the University of Oklahoma in 2018, and his PhD from the University of Oklahoma in 2022. David also holds a Minor in Computer Science and a Minor in Mathematics.
David’s research interests center around the development, testing, and implementation of machine learning procedures in operational meteorology. In particular, David has utilized machine learning techniques to develop probabilistic guidance to help SPC forecasters predict the timing and location of lightning occurrence, plan convective watch placement up to 48 hours in advance of a severe weather day, and estimate winter precipitation type in real-time. David is also involved in web development, and has created several web displays used internally at the SPC to view and process experimental products. Be sure to check out the Projects page for a look at some of David’s ongoing research, experimental products, and personal projects!
All products, displays, and information hosted on this site should be considered experimental and are not guaranteed for accuracy or timeliness. Use them at your own risk. This site and the products provided within are created and maintained by David Harrison and are not associated with NOAA, the National Weather Service, or the Storm Prediction Center except where explicitly stated. For the most up-to-date weather information, check out your local National Weather Service office at www.weather.gov and the Storm Prediction Center at www.spc.noaa.gov.