• <xmp id="om0om">
  • <table id="om0om"><noscript id="om0om"></noscript></table>
  • After clicking “Watch Now” you will be prompted to login or join.


    WATCH NOW



     
    Click “Watch Now” to login or join the NVIDIA Developer Program.

    WATCH NOW

    Interpretable Deep Learning for Hurricane Intensity Prediction

    Richard Loft, Computational and Information Systems Laboratory, National Center for Atmospheric Research

    GTC 2020

    Hurricanes can experience rapid increases in intensity, in which they can strengthen from a tropical storm to a major hurricane in only a couple of days. These rapid intensification periods are currently difficult to predict, but deep learning may be able to detect spatial patterns in the storms that are precursors to rapid intensification. We'll show how a convolutional neural network trained on output from the Hurricane Weather Research and Forecasting model can produce probabilistic estimates of rapid intensification. We'll also show how deep-learning interpretation techniques can reveal what storm structures are associated with rapid intensification versus rapid weakening.




    View More GTC 2020 Content

    人人超碰97caoporen国产