Seeing the Atmosphere Through Machine Learning
Channel: NSF NCAR & UCAR Science Education
Date: 2020-07-20

Machine learning algorithms are part of our everyday digital lives, but did you know that they can also be used in atmospheric research? These algorithms can improve weather predictions, assist forecasters in identifying hazards, and aid in increasing our understanding of atmospheric phenomena. Join NCAR scientist David John Gagne as he provides an overview of machine learning algorithms commonly used in atmospheric science research, such as in producing more accurate predictions of hailstorms and hurricanes. Peer inside the black box of machine learning as it discovers the patterns that lead to severe weather, and learn about the challenges, blind spots, and potential hazards of machine learning.

Learn more about the NCAR Explorer Series: https://ncar.ucar.edu/what-we-offer/education-outreach/public