This research uses image classification and machine learning methods on radar reflectivity
mosaics to segment, classify, and track quasi-linear convective systems (QLCSs) in the …

Radar data during the period 1 April–31 August 2002 were used to classify all convective
storms occurring in a 10-state region of the central United States into nine predominant …

A severe thunderstorm wind gust climatology spanning 2003–09 for the contiguous United
States is developed using measured Automated Surface Observing System (ASOS) and …

A Method for Identifying Midlatitude Mesoscale Convective Systems in Radar Mosaics. Part I:
Segmentation and Classification in: Journal of Applied Meteorology and Climatology Volume …

Abstracts The history of severe thunderstorm research and forecasting over the past century
has been a remarkable story involving interactions between technological development of …

There are still hundreds of casualties produced by thunderstorm hazards each year in the
United States despite the many recent advances in prediction and mitigation of the effects of …

Tornadoes that occur during the cold season, defined here as November–February (NDJF),
pose many societal risks, yet less attention has been given to their climatological trends and …

ABSTRACT A climatological and composite study of banded precipitation in the northeast
United States during the cold season (October–April) is presented. Precipitation systems in …

This study compares severe weather reports associated with the nine convective system
morphologies used in a recent study by to an additional morphology, supercell storms. As in …

The primary objective of this study was to estimate the percentage of US tornadoes that are
spawned annually by squall lines and bow echoes, or quasi-linear convective systems …