Economic Value of Hurricane Forecasts

Economic Value of Hurricane Forecasts

Author: Weather Group Television July 23, 2025 Duration: 32:51
Guest: Dr. Renato Molina, University of Miami Every year, hurricanes threaten lives, infrastructure, and the economies of coastal communities—but what if better forecasting could actually save billions of dollars? Turns out, it already has! But how can we put a dollar value on something as complex as a weather forecast? Today on Weather Geeks, we’re joined by Dr. Renato Molina of the University of Miami, who has dived deep into the economic impact of improved hurricane forecasts. From the costs of misjudged wind speeds to the hidden value of getting the forecast right, his research shows just how powerful—and expensive—information can be when a hurricane is on the horizon. Chapters00:00 The Economic Impact of Hurricane Forecasting07:10 Understanding Forecast Accuracy and Economic Value13:25 Protective Spending and Recovery Costs20:08 Quantifying the Value of Forecast Improvements29:56 Connecting Research to Policy and Industry See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The conversation about our atmosphere is constant, but it often skims the surface. Weather Geeks, from Weather Group Television, dives into the profound depth behind the daily forecast. This isn't just about whether you'll need an umbrella; it's about the sprawling, interconnected science that turns a cloud into a catastrophe or a sunset into a spiritual moment. Each episode pulls apart the forces that shape our global reality, exploring the latest meteorological research, the history of epic storms, and the cultural impact of climate. You'll hear from the scientists and experts who decode the chaos, making the complex physics of our planet not just understandable, but genuinely compelling. Tune in for a podcast that treats the weather as the urgent, beautiful, and ever-evolving story it truly is-the one narrative we all share, written in wind, water, and data.
Author: Language: English Episodes: 100

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