In this episode of Earthlings 2.0, we speak with Victor Gensini, professor of meteorology at Northern Illinois University, who explains how climate change is altering the frequency, intensity, and geographic reach of extreme weather events like hailstorms and tornadoes. He explains how the changing statistical distributions of climate make it harder to rely on historical models, and discusses his fieldwork through the ICECHIP hail research campaign. Gensini highlights the power of AI, Doppler radar, machine learning, and even drones to transform prediction, and stresses that exposure and development patterns are just as critical as climate change itself in determining damage. 

Key Points:

• Extreme Weather Events Are Becoming More Frequent and More Damaging: Gensini explains that climate change is shifting the statistical distribution of weather, making extreme events like hailstorms and tornadoes more likely. Though rare in occurrence, these events now carry an outsized impact on society in terms of destruction, disruption, and insured losses.
• Tornado and Hail Risk Is Moving — and So Should Our Thinking: The classic idea of “Tornado Alley” is outdated. Gensini’s research shows that tornado and hail activity is shifting geographically, affecting new regions with greater intensity. Relying on outdated maps or assumptions could leave entire communities unprepared.
• Technology Is Rapidly Enhancing Our Forecasting Capabilities: From upgraded Doppler radar systems to AI, machine learning, and even drone-based atmospheric sampling, the tools available to meteorologists are evolving fast. These technologies allow for more precise and timely predictions, helping people make smarter decisions in the face of severe weather.

• Victor Gensini, Certified Consulting Meteorologist, Associate Professor for the Department of Earth, Atmosphere and Environment at Northern Illinois University
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Lisa Ann Pinkerton, Earthlings 2.0 Host, CEO of Technica Communications, and Founder of Women in Cleantech and Sustainability, LinkedIn

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