1-2 of 2 results
-
Using Machine Learning to Improve Forecasting of Deep Convection
PI Christopher Hennon
CO-I Ronny Schroeder
CO-I Curtis James
CO-I Abd AlRahman AlMomani
We are working to train a neural network to forecast the initiation time, location, and intensity of thunderstorms. These results will support operations during the proposed CONVECT project and could ultimately aid operational forecasting during the North American Monsoon (NAM).
Read moreCategories: Faculty-Staff
-
Environmental Analysis of Convective Initiation Events in Central Florida using Integrated Mobile Observation
PI Shawn Milrad
PI Daniel Halperin
This research collaboration with the National Weather Service (NWS) Weather Forecast Office Tampa Bay aims to develop an ingredients-based methodology to help improve forecasts of first-strike cloud-to-ground lightning strikes in summer thunderstorms across Central Florida. Results will be used to construct a new forecast tool that will aid NWS forecasters in protecting the region’s life and property from these dangerous lightning events.
Read moreCategories: Faculty-Staff
1-2 of 2 results