New study finds a potential predictor for long-range US tornado forecasts
![Photo of tornado touching down](/sites/default/files/styles/full_width_620_original_image/public/2024-07/jul-09-2024-Tornado.png?itok=l-mZ7OrM)
A tornado touches down in an open field. Credit: NOAA
Tornadoes are among the deadliest and costliest natural disasters in the United States and are one of the hardest to predict. In December 2021, the most destructive winter tornado outbreak, known as the Quad-State Tornado Outbreak, caused 89 fatalities, 672 injuries, and at least $3.9 billion in property damages. Scientists at the University of Miami’s Cooperative Institute of Marine and Atmospheric Studies (CIMAS) and NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) investigated this outbreak and found that it occurred under an exceptionally strong and prolonged negative Pacific-North American (PNA) pattern, which created favorable conditions for tornado outbreaks.
Key atmospheric ingredients that lead to tornado formation include atmospheric instability, i.e., warm moist air near the ground with cooler dry air aloft, and wind shear, a change in wind speed and/or wind direction with height. These conditions most commonly occur during April, May, and June in the United States east of the Rockies. However, winter tornado outbreaks still occasionally occur, sometimes sneaking up on residents in lowlands and plains and causing large socioeconomic impacts.