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Examining the Predictability of Tornadic and Nontornadic Non-Supercellular MCS Storms using GridRad-Severe Radar Data and Machine Learning Techniques
(2023-12-15)
Many studies have aimed to identify novel storm characteristics that are indicative of current or future severe weather potential using a combination of ground-based radar observations and severe reports. However, this is ...
Observations of Evolving Lightning, Microphysics, and Kinematics for a Supercell, a Multicell, and a Mesoscale Convective System
(2019)
The Deep Convective Clouds and Chemistry (DC3) field experiment collected data on a variety of storms to investigate the relationships between lightning and other storm processes. This study focuses on the relationships ...
The creation and analysis of next-day random forest-based high-impact weather forecasts
(2021-05)
Flash floods, tornadoes, damaging winds, and large hail are costly and difficult to predict, even for state-of-the-art, high-resolution numerical weather prediction (NWP) systems. Current operational NWP ensembles have a ...