Ryan Lagerquist

Making the Black Box More Transparent: Understanding the Physical Implications of Machine Learning

Amy McGovern, Ryan Lagerquist, David John Gagne et al. · Bulletin of the American Meteorological Society · 2019 · 522 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather

Amy McGovern, Kimberly L. Elmore, David John Gagne et al. · Bulletin of the American Meteorological Society · 2017 · 430 citations

Artificial Intelligence, Forecasting Methodology, High-impact Weather +21

Deep Learning for Spatially Explicit Prediction of Synoptic-Scale Fronts

Ryan Lagerquist, Amy McGovern, David John Gagne · Weather and Forecasting · 2019 · 127 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +16

Machine Learning for Real-Time Prediction of Damaging Straight-Line Convective Wind

Ryan Lagerquist, Amy McGovern, Travis M. Smith · Weather and Forecasting · 2017 · 117 citations · Full text

Forecasting Methodology, Engineering, Machine Learning +17

Deep Learning on Three-Dimensional Multiscale Data for Next-Hour Tornado Prediction

Ryan Lagerquist, Amy McGovern, Cameron R. Homeyer et al. · Monthly Weather Review · 2020 · 97 citations · Full text

Radar, Meteorology, Storm Surge +15