Podcast
USWW Podcast
Deep-dive episodes on meteorology research, operational forecasting, and post-event analysis. AI-generated from peer-reviewed sources, reviewed by USWW staff.
Beyond Tornado Alley - What 21 Years of Storms Reveal
What kinds of thunderstorms produce America’s tornadoes—and are those patterns changing? This episode examines more than 21,000 tornado events recorded from 2003 through 2023. Through a casual but technically grounded discussion, the hosts explain supercells, QLCSs, radar-based storm classification, seasonal and regional tornado patterns, and why a sharp increase in documented QLCS tornadoes may reflect both atmospheric variability and improvements in how tornadoes are detected and reported.
When the Models Run Cold: Forecast Biases, CAPE, and Southeast Severe Weather
In this episode, we break down a research paper examining how high-resolution convection-allowing weather models handle near-surface temperature and moisture in severe storm environments. The discussion focuses on a key operational finding: widely used HREF model members often run about 1 K too cold in Southeast U.S. cool-season warm sectors, with some members closer to 2 K cold during daytime heating. The hosts explain why that seemingly small error can meaningfully reduce forecast CAPE, especially in high-shear, low-CAPE tornado environments, and what it means for forecasters using HREF and future RRFS guidance.
When Rain Turns Dangerous: The Ingredients Behind Flash Floods
In this episode, we break down why flash floods are so hard to forecast and why the most dangerous rainfall events are not always obvious from a simple weather map. Using an ingredients-based approach, the discussion explains how moisture, lift, rainfall efficiency, storm motion, training convection, terrain, and hydrology combine to turn ordinary rain into a life-threatening flood. The episode uses real-world case examples from Iowa, Nevada, and Alaska to show how different atmospheric setups can produce the same dangerous result: too much rain, over the same place, for too long.
Tornadoes in the Line: Supercells, Squalls, and the Radar Clues We Miss
This episode breaks down how tornadoes from classic right-moving supercells compare with those embedded in quasi-linear convective systems, or squall lines. The hosts discuss why QLCS tornado reports have increased, why EF1 QLCS tornadoes raise important radar and damage-survey questions, and how forecasters use clues like rotational velocity, velocity couplet size, and tornadic debris signatures to separate weak, fast-moving spin-ups from more dangerous tornado threats.
When Supercells Collide: How a Boundary Sparked Tornadogenesis
In this episode, we break down a fascinating 29 May 2012 Oklahoma storm case where a long-lived right-moving supercell produced giant hail but remained nontornadic for hours—until it interacted with the rear-flank gust front from a left-moving supercell. Through a casual but meteorologically rich discussion, the hosts explain how storm-scale boundaries, mesocyclone ingestion, outflow, and low-level vorticity can rapidly change tornado potential and why these interactions matter for real-time forecasting and warning decisions.