WEBVTT

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The 2025 Atlantic hurricane season has finally

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wrapped up and it ended with, well, a truly catastrophic

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event, Hurricane Melissa. A historic storm, really.

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A category five Titan that just tore through

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the Caribbean. It slammed Jamaica, Cuba, Haiti,

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leaving behind just widespread destruction. The

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death toll is estimated close to 100 people.

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And the intensity was just off the charts. Yeah.

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Melissa peaked with sustained winds of 185 miles

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per hour. That's a record breaking level of ferocity.

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But here's the paradox of the season. And it's

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a huge one. Despite the brutal power of Melissa

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and two other cat fives this year, the continental

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US coast saw, well, nothing, an unprecedented

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escape. A massive statistical contradiction,

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and that's what we need to unpack today. Absolutely.

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Welcome to Meteorology Matters, the podcast that

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dives deep into the science, chaos, and stories

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behind the weather that shapes our world. This

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show is created by meteorologist Rob Jones, and

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we're doing something new this season, offering

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every episode in English and Spanish. Yeah, that's

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right. Same stories, two languages. Why? Because

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weather impacts everyone, and science should

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speak to all of us. But here's where you come

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in. We want to know what you think. Is this bilingual

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We want you to like, follow, comment, and rate

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the podcast. Now let's get into today's episode

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of Meteorology Matters. purely statistical point

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of view, it seems almost moderate. Right. On

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the surface. We ended up with 13 named storms,

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five hurricanes, and four major hurricanes. And

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the climatological average, what we normally

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see, is around 14, 7, and 3. So fewer named storms,

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fewer hurricanes overall. Exactly. So if you

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just look at the counts, you'd think, oh, a slightly

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below average season. But that completely misses

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the story of 2025, doesn't it? The research has

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been calling this an all -or -nothing season,

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and that feels right. The real story is in the

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intensity. The intensity paradox, yeah. That's

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the key. We only had five storms get strong enough

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to be called a hurricane. But four of those five,

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four out of five, that's 80 % escalated to major

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hurricane status. So category three or higher.

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And that 80 % ratio is the crucial number. It's

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a huge statistical anomaly. Put that in context

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for us. What's the normal ratio? Well, the long

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-term average, what you'd expect to see, is that

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about 40 % of hurricanes become majors. So this

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season doubled that. It literally doubled the

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historical average. And what that tells us is

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that the atmospheric conditions were, well, they

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were extremely picky. They either shut down storm

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formation completely, Or they provided the absolute

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perfect fuel for these explosive, incredibly

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powerful systems. There was no middle ground.

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We can actually measure that power difference,

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right, using the accumulated cyclone energy,

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or ACE. Right. ACE combines the intensity and

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the duration of all the storms. So with fewer

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hurricanes, you might think, OK, the ACE score

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would be lower this year. And that would be a

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very logical assumption. But it's wrong. So what

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was the final number? Despite having fewer storms,

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the total ACE for the season ended up around

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133. It's actually about seven or eight percent

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above the long -term average. So quality over

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quantity, basically. The storms that did manage

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to survive were way more potent and they lasted

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longer than usual. Precisely. And some of those

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storms were carrying almost the entire season's

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energy budget on their own. You're talking about

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Hurricane Aaron? Absolutely. The disproportionate

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intensity is perfectly illustrated by Aaron.

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The accumulated cyclone energy that Aaron generated

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all by itself. It was roughly equal to the combined

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ACE of seven other named storms. Seven storms

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combined. Which ones? Andrea, Barry, Chantal,

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Dexter, Fernand, Gabrielle, and Imelda. All seven

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of them together barely match the energy output

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of Erin alone. Wow. So the season wasn't balanced

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at all. It was just dominated by three or four

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absolute monsters. That's the perfect way to

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describe it. A few powerhouses just dominated

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the whole atmospheric energy budget. Which brings

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us to the weird timing of the season. It really

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felt disjointed with these long lulls and then

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these sudden violent bursts of activity. That

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stop -start nature was. Yeah. It was bewildering,

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even for us watching it unfold. First, the season

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started late. Andre, yeah. It didn't form until

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late June. June 24th. That's the latest start

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we've seen since 2014. And it's well past the

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median date of June 15th. But then, after a burst

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of activity, we hit this this massive quiet period,

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a real dormancy. And that quiet spell from late

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August through mid -September, that's supposed

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to be the absolute peak of the season. For almost

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three weeks, the Atlantic just went completely

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silent. It felt dead. That lull, it ran from

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August 29th through September 16th, and it became

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a huge puzzle for researchers. When you see a

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quiet period that profound and that long right

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during the climatological peak, You know, it's

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not just random. It points to some massive planetary

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skill dynamics at play. So what were they? What

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were the scientific mechanisms that basically

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just flipped the off switch on the Atlantic?

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The research points to two main culprits. The

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first is something we see pretty often, which

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is huge plumes of Saharan dust drifting out over

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the ocean. The Saharan air layer, SAL, it brings

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dry, stable air. Right, and that's just hostile

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for hurricane formation. But the bigger factor,

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the more dominant one this season, was the Madden

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-Julian Oscillation, or MJO. Okay, for listeners

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who might not be familiar, can you break down

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the MJO and why it's so critical? Sure. The MJO

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is this massive wave of pressure and moisture.

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It travels eastward around the entire globe,

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right near the equator, and it completes a full

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circle every 30 to 60 days. And it has two different

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modes, right? It has two main phases. The active

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phase is characterized by rising air, deep clouds,

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low pressure. basically all the ingredients that

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help hurricanes form and grow. And the other

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one? The other is the quiescent or suppressed

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phase, which is the exact opposite. You get sinking

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air, clear skies, and much more stable atmosphere.

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So if the MJO is active over the Atlantic, it's

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like a green light for storms. If it's suppressed,

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it's a red light. Precisely. And during that

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critical lull in late August and early September,

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analysis confirmed the MJO was firmly in its

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suppressed phase over the entire Western Atlantic

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and the Caribbean. That sinking air was warming

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and drying out the mid -levels of the atmosphere.

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It was essentially starving any little disturbances

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of the moisture and lift they needed to get organized.

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The Atlantic was just uninhabitable for storms

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during that window. Okay, so let's shift to the

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US side of the story. We have this explosive,

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scientifically fascinating, but very start and

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stop season out in the Atlantic. But the headline

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that really got everyone's attention was the

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incredible U .S. escape. It's a truly remarkable

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data point. 2025 was the first time in 10 years

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since 2015 that no hurricane made landfall on

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the continental U .S. And you have to think of

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the context of recent years. We just broke a

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record long streak of five straight years from

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2020 to 2024, where we had at least one major

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hurricane landfall every single year. We were

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getting used to names like Irma, Ian, Harvey,

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Helene. These catastrophic landfalls felt like

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the new normal. The feeling going into 2025 was

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that the US was due for another big hit. The

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atmosphere, as you said, had other plans. None

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of the five hurricanes this year even got close

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enough to trigger major evacuation orders. So

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what was it? What were the specific persistent

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atmospheric patterns that created this protective

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shield around the country? It was an incredible

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combination of steering currents. We saw two

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main sustained features that just worked together

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perfectly to keep these powerful storms safely

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out at sea. The first factor was something we

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call persistent troughiness. Okay, that's a term

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you hear meteorologists use, but can you break

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down what troughiness means and why its persistence

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was so unusual this year? Of course. A trough

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is basically an elongated area of low atmospheric

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pressure. You can think of it as a sustained

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southward dip in the jet stream over a specific

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region. This season we had one of these troughs

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just stubbornly parked over the southeast United

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States. And because storms tend to flow around

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these pressure systems. Exactly. Low pressure

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systems spin counterclockwise in the northern

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hemisphere, so this persistent trough created

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a reliable counterclockwise steering current.

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Meaning any storm that approached the east coast

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from the south or east would just hit those winds

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and get shunted away? Precisely. It acted like

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a giant continuous defensive wall. It diverted

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all the incoming storms northward and then eastward,

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pushing them out into the open Atlantic long

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before they had a chance to even threaten the

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coast. And the other piece of the puzzle was

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the Bermuda High. The Bermuda High, or the North

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Atlantic Subtropical High, was the second critical

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component. It's this huge semi -permanent high

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pressure system, and its position really dictates

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where storms go. If it builds west, it pushes

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them right into the Gulf of Mexico or the East

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Coast. Right. But this season, that high was

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consistently positioned farther east than usual.

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And how did that change the steering? Because

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the center of the high was displaced so far to

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the east, the clockwise flow on its western edge,

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the flow that would normally steer storms inland,

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was much weaker and shifted offshore. This gave

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the storms enough room to make that graceful

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curve away from both the East Coast and the Gulf

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of Mexico. The persistence of that favorable

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pattern was just a huge piece of atmospheric

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good fortune for the U .S. It's so important

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to point out though that even though the U .S.

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escaped a hurricane landfall, It wasn't completely

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untouched. That's a crucial distinction to make.

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We did have one named Storm Make Landfall. Tropical

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Storm Chantal. Right. Chantal came ashore in

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South Carolina on July 6th with winds around

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50 miles per hour. It wasn't a powerful system

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by any means, but it was a slow mover. It caused

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a lot of inland flooding, contributed to three

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deaths, and ended up causing about half a billion

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dollars in damages as it moved into North Carolina.

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But the really devastating coastal damage this

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year didn't come from a direct hit. It came from

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the raw power of those distant category fives

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churning up the ocean. That's right. Even from

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thousands of miles away, hurricanes Aaron, Humberto

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and Imelda generated these immense long period

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swells that pounded the U .S. East Coast for

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weeks. And that sustained wave action has been

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incredibly destructive, especially on the fragile

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barrier islands like the Outer Banks in North

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Carolina. We're seeing houses collapsing now

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from surf that was generated months ago. The

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research on this is dramatic. The erosion and

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the constant battering from the waves has been

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relentless. Since September 16th alone, those

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swells from the three distant titans have triggered

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the collapse of 16 beachfront homes along the

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outer banks. 16. And on one single day, September

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30th, five houses were lost at the same time,

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all driven by the energy from waves created by

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Emelda and Humberto. It's a costly reminder that

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you don't need a landfall to get catastrophic

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damage when the ocean is energized by these hiker

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intense storms far out at sea. And that brings

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us right to the heart of the 2025 season, that

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sheer intensity. The fact that the Atlantic produced

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three separate category five hurricanes, Aaron,

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Humberto and Melissa, is an extreme event in

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itself. It's genuinely rare. Historically speaking,

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only about three percent of all Atlantic tropical

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cyclones ever reach category five strength. This

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season now joins the infamous 2005 season as

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the only years on record to have three or more

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cat fives 2005 had Emily Katrina Rita and Wilma

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That was a season for the history books. It set

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an incredibly high bar for intensity and 2025

00:11:52.509 --> 00:11:54.889
came very, very close to matching it. Let's start

00:11:54.889 --> 00:11:56.850
with Aaron. The speed at which it strengthened

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was just alarming. It's a perfect example of

00:11:59.070 --> 00:12:01.549
this rapid intensification trend we keep seeing.

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Aaron's intensification wasn't just rapid. It

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was classified as extreme rapid intensification.

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It became the earliest cat five ever recorded

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outside of the Gulf of Mexico in the Caribbean.

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And the speed was historic. In just 24 hours,

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its winds exploded from 75 miles per hour. to

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160 miles per hour. Oh, an 85 mile per hour increase

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in one day. That jump is tied for the fifth fastest

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24 hour wind increase we have on record. And

00:12:24.990 --> 00:12:26.669
with winds that are strengthening that fast,

00:12:26.909 --> 00:12:29.129
the central pressure has to be just plummeting.

00:12:29.370 --> 00:12:32.210
Oh, absolutely. Aaron's central pressure dropped

00:12:32.210 --> 00:12:35.830
83 millibars in that same 24 hour window. It

00:12:35.830 --> 00:12:39.409
went from 998 down to 915. That kind of pressure

00:12:39.409 --> 00:12:42.210
drop is tied for the third fastest ever recorded

00:12:42.210 --> 00:12:45.210
in the Atlantic. It's a sign of a truly explosive

00:12:45.210 --> 00:12:48.250
process happening inside the storm's core. And

00:12:48.250 --> 00:12:50.610
then things got even stranger. We had two of

00:12:50.610 --> 00:12:53.330
these intense storms, Humberto and Imelda, get

00:12:53.330 --> 00:12:56.230
locked in this bizarre atmospheric dance, the

00:12:56.230 --> 00:12:59.149
Fujiwara effect. And that interaction actually

00:12:59.149 --> 00:13:01.269
played a direct role in protecting the U .S.

00:13:01.309 --> 00:13:03.769
The Fujiwara effect is fascinating. It's what

00:13:03.769 --> 00:13:06.009
happens when two tropical cyclones get close

00:13:06.009 --> 00:13:07.929
enough that they start to orbit a common center.

00:13:08.309 --> 00:13:10.549
In this case, we had category five Humberto and

00:13:10.549 --> 00:13:13.230
category two Imelda get within 465 miles of each

00:13:13.230 --> 00:13:15.259
other. That sounds close. It's very close. The

00:13:15.259 --> 00:13:16.639
interaction zone usually starts when they're

00:13:16.639 --> 00:13:20.059
about 800, 900 miles apart. So at 465 miles,

00:13:20.379 --> 00:13:21.980
their movements are completely dictated by each

00:13:21.980 --> 00:13:24.179
other. And Humberto was the bigger, more powerful

00:13:24.179 --> 00:13:26.720
storm, so it was in control. Right. Humberto

00:13:26.720 --> 00:13:29.039
was the dominant partner in the dance. Before

00:13:29.039 --> 00:13:31.519
they got that close, Imelda was on a track that

00:13:31.519 --> 00:13:34.179
made a U .S. landfall, probably in the Carolinas,

00:13:34.580 --> 00:13:37.259
look like a real possibility. But Humberto changed

00:13:37.259 --> 00:13:39.740
that. Humberto essentially grabbed Imelda. Its

00:13:39.740 --> 00:13:42.399
larger circulation started tugging on Imelda,

00:13:42.559 --> 00:13:44.559
steering it in a counterclockwise loop around

00:13:44.559 --> 00:13:47.259
its center, and that pulled Imelda out into the

00:13:47.259 --> 00:13:50.100
open Atlantic, away from the coast. So in this

00:13:50.100 --> 00:13:53.019
case, the Fujiwara effect acted as yet another

00:13:53.019 --> 00:13:55.759
steering mechanism that helped the U .S. dodge

00:13:55.759 --> 00:13:58.539
a bullet. It spared the U .S., but Imelda still

00:13:58.539 --> 00:14:01.639
hit other places hard. It did. As it curved away,

00:14:01.919 --> 00:14:04.720
the center of Imelda passed directly over Bermuda

00:14:04.720 --> 00:14:07.220
as a Category 2, and its outer bands brought

00:14:07.220 --> 00:14:09.299
devastating rain and flooding to the Dominican

00:14:09.299 --> 00:14:11.919
Republic, where tragically four people were killed.

00:14:12.460 --> 00:14:14.720
It just goes to show the storms that miss the

00:14:14.720 --> 00:14:18.259
US still have immense destructive power. So let's

00:14:18.259 --> 00:14:19.759
connect this all back to the broader climate

00:14:19.759 --> 00:14:22.500
picture. This season was defined by extreme power

00:14:22.500 --> 00:14:25.500
four out of five hurricanes becoming major. Does

00:14:25.500 --> 00:14:27.440
this fit with the scientific research on long

00:14:27.440 --> 00:14:30.059
term storm trends? If you look at the wider research,

00:14:30.080 --> 00:14:33.299
the answer is an unequivocal yes. For the last

00:14:33.299 --> 00:14:35.639
20 years, studies have consistently shown the

00:14:35.639 --> 00:14:38.659
same thing. While the global number of tropocylones

00:14:38.659 --> 00:14:40.799
isn't really increasing, the critical finding

00:14:40.799 --> 00:14:42.980
is that the fraction of those storms that reach

00:14:42.980 --> 00:14:45.700
the most destructive category four or five status

00:14:45.700 --> 00:14:48.500
is absolutely increasing, and it's projected

00:14:48.500 --> 00:14:51.519
to keep doing so. So the focus is shifting. It's

00:14:51.519 --> 00:14:54.100
less about preparing for more frequent storms

00:14:54.100 --> 00:14:57.059
and more about preparing for... less frequent,

00:14:57.200 --> 00:15:00.179
but overwhelmingly powerful events. Exactly.

00:15:00.480 --> 00:15:02.519
The risk is becoming more and more concentrated

00:15:02.519 --> 00:15:05.120
in those high -end categories. And this is directly

00:15:05.120 --> 00:15:07.639
tied to that phenomenon of rapid intensification.

00:15:07.860 --> 00:15:09.940
The numbers on that are staggering. They are.

00:15:10.080 --> 00:15:12.980
Just look at the data. Since 2003, We have seen

00:15:12.980 --> 00:15:15.720
a six -fold increase in what we call extreme

00:15:15.720 --> 00:15:18.620
rapid intensification events. We've had 18 of

00:15:18.620 --> 00:15:21.580
those events since 2003, compared to only three

00:15:21.580 --> 00:15:24.419
in the entire period from 1980 to 2002. Wow,

00:15:24.620 --> 00:15:27.200
a six -fold increase. It's a profound shift,

00:15:27.519 --> 00:15:29.720
and it suggests that the thermodynamic environment

00:15:29.720 --> 00:15:31.779
of the Atlantic is just becoming more and more

00:15:31.779 --> 00:15:34.059
favorable for these explosive processes to occur.

00:15:34.360 --> 00:15:37.039
And that terrifying physics brings us back to

00:15:37.039 --> 00:15:40.820
Hurricane Melissa. the third Cat 5, and the most

00:15:40.820 --> 00:15:43.220
devastating storm of the year anywhere in the

00:15:43.220 --> 00:15:46.000
world. What were the specific conditions that

00:15:46.000 --> 00:15:48.879
allowed Melissa to become so incredibly powerful?

00:15:49.379 --> 00:15:51.519
Melissa was born into a hyper -fueled environment.

00:15:52.379 --> 00:15:54.940
Research confirmed that over 80 % of the entire

00:15:54.940 --> 00:15:57.279
Atlantic basin had above -average ocean heat

00:15:57.279 --> 00:16:00.259
content this season. 80 %? And that ranked as

00:16:00.259 --> 00:16:02.500
the third highest ocean heat content we have

00:16:02.500 --> 00:16:06.399
on record, going all the way back to 1958. But

00:16:06.399 --> 00:16:09.100
crucially, This warmth wasn't just a thin layer

00:16:09.100 --> 00:16:12.019
on the surface. The heat extended deep down into

00:16:12.019 --> 00:16:14.279
the ocean. And why is that depth so critical

00:16:14.279 --> 00:16:17.120
for a storm to intensify? It all comes down to

00:16:17.120 --> 00:16:20.120
a process called upwelling. A powerful hurricane's

00:16:20.120 --> 00:16:22.679
winds are so strong they churn up the ocean surface.

00:16:22.899 --> 00:16:25.620
If the warm water layer is shallow, that churning

00:16:25.620 --> 00:16:28.000
will pull up cooler water from the depths. And

00:16:28.000 --> 00:16:30.580
that cooler water acts like a brake, weakening

00:16:30.580 --> 00:16:33.080
the storm. It's a natural self -breaking mechanism.

00:16:33.460 --> 00:16:36.379
But Melissa found a way to avoid that. The key

00:16:36.379 --> 00:16:39.039
was its location and the fact that it stalled.

00:16:39.480 --> 00:16:42.200
It underwent this explosive intensification and

00:16:42.200 --> 00:16:44.259
then it became nearly stationary for three full

00:16:44.259 --> 00:16:46.879
days to South of Jamaica. It was drifting at

00:16:46.879 --> 00:16:49.019
less than four miles per hour. A walking case.

00:16:49.259 --> 00:16:51.440
And this stall happened over an area where that

00:16:51.440 --> 00:16:54.419
deep warm water layer was incredibly thick. So

00:16:54.419 --> 00:16:56.360
even with the immense churning power of a category

00:16:56.360 --> 00:16:59.019
five, Melissa couldn't pull up any cool water.

00:16:59.340 --> 00:17:01.820
It was just parked over a virtually endless supply

00:17:01.820 --> 00:17:04.339
of high octane fuel, which allowed it to maintain

00:17:04.339 --> 00:17:06.559
that extreme intensity. And that's how it peaked

00:17:06.559 --> 00:17:09.880
at 185 mile per hour winds and a central pressure

00:17:09.880 --> 00:17:13.640
of 892 millibars. Those numbers put Melissa in

00:17:13.640 --> 00:17:15.880
the absolute top tier of Atlantic hurricanes.

00:17:16.240 --> 00:17:18.299
It's tied for the second strongest ever by wind

00:17:18.299 --> 00:17:21.200
speed and the third strongest by pressure in

00:17:21.200 --> 00:17:23.339
the entire history of the basin. We're talking

00:17:23.339 --> 00:17:25.759
about the maximum possible ferocity for a storm

00:17:25.759 --> 00:17:28.099
on this planet. And that power led to a tragic

00:17:28.099 --> 00:17:31.180
historic landfall in Jamaica on October 28th.

00:17:31.240 --> 00:17:33.660
It made landfall in southwest Jamaica as a category

00:17:33.660 --> 00:17:36.579
five, and the preliminary data shows it's tied

00:17:36.579 --> 00:17:40.440
with the infamous 1935 Labor Day hurricane as

00:17:40.440 --> 00:17:42.799
the strongest landfalling Atlantic hurricane

00:17:42.799 --> 00:17:46.259
on record. Strongest ever. By both wind and pressure.

00:17:47.079 --> 00:17:49.839
The impact was immediate and catastrophic, and

00:17:49.839 --> 00:17:52.640
it continued as the storm moved over Cuba, Haiti,

00:17:52.819 --> 00:17:55.559
and the Bahamas. One of the most incredible scientific

00:17:55.559 --> 00:17:58.279
takeaways from Melissa came from a storm chaser.

00:17:58.599 --> 00:18:01.220
There was hyperlocal data collected by someone

00:18:01.220 --> 00:18:03.920
on the ground in Crawford, Jamaica, just five

00:18:03.920 --> 00:18:06.460
nautical miles from the center. That ground level

00:18:06.460 --> 00:18:09.299
data is absolutely invaluable. It helps us calibrate

00:18:09.299 --> 00:18:11.039
what we're seeing from satellites and planes.

00:18:11.779 --> 00:18:14.059
This chaser was deep inside the radius of maximum

00:18:14.059 --> 00:18:16.339
winds in the inner right front quadrant of the

00:18:16.339 --> 00:18:18.900
eyewall. That is the most dangerous place to

00:18:18.900 --> 00:18:20.720
be in a hurricane. What did the pressure readings

00:18:20.720 --> 00:18:23.180
show from that location? The chaser recorded

00:18:23.180 --> 00:18:26.720
a minimum sea level pressure of 926 millibars.

00:18:27.299 --> 00:18:28.900
Now remember, the storm central pressure was

00:18:28.900 --> 00:18:31.779
estimated to be 892 millibars. So that's a 34

00:18:31.779 --> 00:18:35.359
millibar drop over just five miles. An absolutely

00:18:35.359 --> 00:18:38.619
staggering pressure gradient. The sheer force

00:18:38.619 --> 00:18:41.519
created by a gradient that steep is what drives

00:18:41.519 --> 00:18:43.960
those explosive wind speeds. And the physical

00:18:43.960 --> 00:18:46.200
descriptions. They sound like something out of

00:18:46.200 --> 00:18:49.079
science fiction. They noted 100 % whiteout conditions.

00:18:49.599 --> 00:18:52.380
Zero visibility from the rain and spray. And

00:18:52.380 --> 00:18:55.079
they described a continuous screaming sound.

00:18:55.759 --> 00:18:58.400
The physical toll was intense. The explosive

00:18:58.400 --> 00:19:01.319
wind gusts created actual pain in their eardrums.

00:19:01.359 --> 00:19:03.720
Did they get into the eye itself? They experienced

00:19:03.720 --> 00:19:06.009
the southeastern edge of it. After the pressure

00:19:06.009 --> 00:19:07.990
bottomed out, there was a sudden lull that lasted

00:19:07.990 --> 00:19:10.650
about 45 minutes. But what's really fascinating

00:19:10.650 --> 00:19:12.829
is that the pressure data during that core passage

00:19:12.829 --> 00:19:15.650
showed these highly volatile spikes and dips.

00:19:15.910 --> 00:19:18.170
And what does that tell us? Researchers believe

00:19:18.170 --> 00:19:20.589
those are the distinct fingerprints of inner

00:19:20.589 --> 00:19:22.750
eye wall mesovortices. Okay, can you explain

00:19:22.750 --> 00:19:25.170
what those are? Mistal vortices are essentially

00:19:25.170 --> 00:19:28.589
small, intense mini tornadoes that spin up within

00:19:28.589 --> 00:19:31.109
the main eye wall of a very powerful hurricane.

00:19:31.609 --> 00:19:34.009
They create these sudden violent increases in

00:19:34.009 --> 00:19:36.849
wind and localized drops in pressure, which is

00:19:36.849 --> 00:19:39.730
what causes those wild spikes in the data. They

00:19:39.730 --> 00:19:42.690
represent a huge jump in localized damage potential.

00:19:43.150 --> 00:19:45.670
Beyond the ground data, Melissa also set some

00:19:45.670 --> 00:19:48.250
new global records with our advanced technology.

00:19:48.549 --> 00:19:51.730
It really was a scientific crucible. A drop sonde

00:19:51.829 --> 00:19:53.829
An instrument dropped from a Hurricane Hunter

00:19:53.829 --> 00:19:57.829
plane measured a wind gust of 252 miles per hour.

00:19:58.190 --> 00:20:00.609
That is the highest wind gust ever measured globally

00:20:00.609 --> 00:20:03.490
by a drop sought. That single data point will

00:20:03.490 --> 00:20:05.809
change how we design buildings for extreme wind.

00:20:06.049 --> 00:20:08.109
And the lightning data was even more unbelievable.

00:20:08.309 --> 00:20:11.390
It was revolutionary. As Melissa was making landfall.

00:20:11.559 --> 00:20:14.380
Satellites recorded a peak flash rate of 700

00:20:14.380 --> 00:20:16.460
lightning strikes per minute inside the core.

00:20:16.779 --> 00:20:18.900
700 per minute. That's nearly 12 lightning strikes

00:20:18.900 --> 00:20:20.940
every single second. It completely rewrites our

00:20:20.940 --> 00:20:22.619
understanding of how much lightning is possible

00:20:22.619 --> 00:20:24.579
inside a hurricane. That terrifying science,

00:20:24.579 --> 00:20:27.259
of course, translated into unimaginable destruction.

00:20:28.160 --> 00:20:30.740
Let's pivot now from the physics to the catastrophic

00:20:30.740 --> 00:20:34.079
costs. The storm chaser on the ground who had

00:20:34.079 --> 00:20:37.319
personally been through 84 hurricanes said Melissa's

00:20:37.319 --> 00:20:39.640
winds were the most extreme they had ever witnessed.

00:20:39.849 --> 00:20:42.509
The damage was classified as catastrophic. What

00:20:42.509 --> 00:20:44.690
did that look like? The landscape analysis showed

00:20:44.690 --> 00:20:47.970
100 % defoliation of trees. Everything was stripped

00:20:47.970 --> 00:20:51.769
bare, leaving this wintry, dead, even burnt looking

00:20:51.769 --> 00:20:54.670
landscape behind. And buildings? Total failure.

00:20:55.269 --> 00:20:57.650
Wood frame houses were just flattened, gone.

00:20:58.470 --> 00:21:01.009
And critically, even concrete buildings, which

00:21:01.009 --> 00:21:03.049
are supposed to be hurricane resistant, suffered

00:21:03.049 --> 00:21:06.609
partial collapse or major roof failure. The research

00:21:06.609 --> 00:21:08.609
suggests that while the walls were concrete,

00:21:09.150 --> 00:21:11.130
the rebar reinforcement just wasn't enough to

00:21:11.130 --> 00:21:13.589
handle the pressure from 185 mile per hour winds.

00:21:14.269 --> 00:21:16.650
The economic cost for Jamaica is a number that's

00:21:16.650 --> 00:21:18.650
hard to even comprehend. It's a generational

00:21:18.650 --> 00:21:21.289
catastrophe. The World Bank estimates Melissa

00:21:21.289 --> 00:21:25.279
will cost Jamaica 8 .8 billion dollars. And put

00:21:25.279 --> 00:21:28.240
that in perspective, that is 41 percent of Jamaica's

00:21:28.240 --> 00:21:30.839
entire annual GDP. Almost half their economy

00:21:30.839 --> 00:21:33.500
wiped out by one storm. Few countries on Earth

00:21:33.500 --> 00:21:36.000
could withstand a blow like that. And while Haiti

00:21:36.000 --> 00:21:38.140
and Cuba also suffered major damage relative

00:21:38.140 --> 00:21:41.160
to their economies, Jamaica's hit was just brutal.

00:21:41.559 --> 00:21:44.240
And if we zoom out, these extreme weather events

00:21:44.240 --> 00:21:47.700
are fueling a growing global refugee crisis.

00:21:47.940 --> 00:21:50.720
The link between climate disruption and human

00:21:50.720 --> 00:21:53.779
displacement is just stark. Research from the

00:21:53.779 --> 00:21:56.059
UN High Commissioner for Refugees shows that

00:21:56.059 --> 00:21:58.720
over the last decade, climate -related disasters

00:21:58.720 --> 00:22:02.640
have displaced 250 million people. 250 million?

00:22:02.839 --> 00:22:06.599
That's 70 ,000 people a day, or two people forced

00:22:06.599 --> 00:22:08.799
to flee their homes every three seconds. And

00:22:08.799 --> 00:22:11.079
the people most at risk are those who are already

00:22:11.079 --> 00:22:13.559
vulnerable. Absolutely. The research shows that

00:22:13.559 --> 00:22:15.680
three out of every four refugees who are already

00:22:15.680 --> 00:22:18.099
displaced because of conflict are now living

00:22:18.099 --> 00:22:19.859
in countries that are highly exposed to these

00:22:19.859 --> 00:22:22.279
climate risks. It creates this heartbreaking

00:22:22.279 --> 00:22:24.660
cycle where people who have already fled violence

00:22:24.660 --> 00:22:27.380
are at an incredibly high risk of being forced

00:22:27.380 --> 00:22:29.619
to flee all over again by a storm like Melissa.

00:22:29.920 --> 00:22:32.599
But against that backdrop of catastrophic failure

00:22:32.599 --> 00:22:35.839
in Jamaica, we saw this really powerful example

00:22:35.839 --> 00:22:38.539
of local resilience, specifically with energy.

00:22:38.859 --> 00:22:41.880
This was a critical bright spot. Most of Jamaica's

00:22:41.880 --> 00:22:44.319
centralized power grid relies on imported oil

00:22:44.319 --> 00:22:47.240
and gas, which is very vulnerable in a storm.

00:22:47.470 --> 00:22:50.809
But after Melissa hit, we saw that rooftop solar

00:22:50.809 --> 00:22:53.509
panels paired with batteries kept essential services

00:22:53.509 --> 00:22:56.549
running for many people, in stark contrast to

00:22:56.549 --> 00:22:59.309
the total failure of the main grid. This is more

00:22:59.309 --> 00:23:01.750
than just a nice story. It represents a new model

00:23:01.750 --> 00:23:04.150
for energy security in these vulnerable regions.

00:23:04.529 --> 00:23:07.210
It really is the model for the future. We learned

00:23:07.210 --> 00:23:09.029
this lesson from Puerto Rico after Hurricane

00:23:09.029 --> 00:23:12.549
Maria in 2017. It took six months to restore

00:23:12.549 --> 00:23:15.849
power to most of the island. Now, labs like Oak

00:23:15.849 --> 00:23:18.230
Ridge National Lab are pioneering the use of

00:23:18.230 --> 00:23:21.710
microgrids, small local power grids with solar

00:23:21.710 --> 00:23:24.089
and battery storage that are designed to operate

00:23:24.089 --> 00:23:26.349
independently when the main grid goes down. So

00:23:26.349 --> 00:23:29.970
you shift the focus from repairing massive transmission

00:23:29.970 --> 00:23:32.170
lines to just keeping a neighborhood online.

00:23:32.450 --> 00:23:34.789
And the benefit is immediate. As one energy expert

00:23:34.789 --> 00:23:36.970
said, if I have rooftop solar and batteries,

00:23:37.049 --> 00:23:39.089
and if I can keep my refrigerator running, my

00:23:39.089 --> 00:23:41.539
entire neighborhood benefits. It's about maintaining

00:23:41.539 --> 00:23:44.339
those essential local services. That's true resilience.

00:23:44.640 --> 00:23:46.720
Shifting gears to the technology that helps us

00:23:46.720 --> 00:23:49.180
track these storms. We have to talk about the

00:23:49.180 --> 00:23:51.400
work of the National Oceanic and Atmospheric

00:23:51.400 --> 00:23:54.640
Administration's hurricane hunters. Those P3

00:23:54.640 --> 00:23:58.119
Orion crews are mission critical. They fly directly

00:23:58.119 --> 00:24:00.579
into the core of these storms to deploy the drop

00:24:00.579 --> 00:24:03.039
sawns and drones that give us the data we need

00:24:03.039 --> 00:24:06.200
for watches and warnings. They were in Aaron,

00:24:06.460 --> 00:24:08.710
Imelda, and Melissa this year. And there was

00:24:08.710 --> 00:24:10.809
a bigger reliance on drone technology this year,

00:24:10.849 --> 00:24:13.150
wasn't there? There was. They deployed 18 of

00:24:13.150 --> 00:24:15.910
these specialized black swift drones right into

00:24:15.910 --> 00:24:18.809
the cores of the storms. And they tested a critical

00:24:18.809 --> 00:24:21.730
new science strategy during Gabriel and Imelda.

00:24:22.049 --> 00:24:24.710
What was the goal with that new strategy? The

00:24:24.710 --> 00:24:26.829
goal was to fly a drone just above the ocean

00:24:26.829 --> 00:24:29.589
surface, right near a wave buoy. The data from

00:24:29.589 --> 00:24:31.730
that lowest layer of the atmosphere is incredibly

00:24:31.730 --> 00:24:34.730
hard to get, but it's vital. Scientists need

00:24:34.730 --> 00:24:37.190
it to better understand how energy, the heat

00:24:37.190 --> 00:24:39.369
and moisture is exchanged between the warm ocean

00:24:39.369 --> 00:24:42.650
and the storm. That friction layer is the engine

00:24:42.650 --> 00:24:45.029
room of a hurricane. The better we understand

00:24:45.029 --> 00:24:46.990
it, the better our intensity forecast will get.

00:24:47.269 --> 00:24:50.650
And speaking of forecasting, 2025 was a monumental

00:24:50.650 --> 00:24:53.309
year for the industry. We saw the debut of a

00:24:53.309 --> 00:24:56.190
new AI model that just blew away the conventional

00:24:56.190 --> 00:24:58.369
systems. It's fascinating because the conventional

00:24:58.369 --> 00:25:01.130
physics -based models really struggled with all

00:25:01.130 --> 00:25:03.869
the rapid intensification events this year. But

00:25:03.869 --> 00:25:06.210
the postseason analysis showed the remarkable

00:25:06.210 --> 00:25:09.970
success of the new Google DeepMind AI model,

00:25:10.529 --> 00:25:12.930
the GDMI. It wasn't just good. It was the leader

00:25:12.930 --> 00:25:15.329
of the pack. It was unprecedented for a brand

00:25:15.329 --> 00:25:18.430
new model. The GDMI outperformed all the conventional

00:25:18.430 --> 00:25:21.490
models. For track forecasting, predicting where

00:25:21.490 --> 00:25:25.009
the storm will go, it either beat or tied the

00:25:25.009 --> 00:25:27.789
official National Hurricane Center forecast at

00:25:27.789 --> 00:25:30.349
every single lead time. And for intensity. It

00:25:30.349 --> 00:25:32.650
was highly competitive there too, nearly on par

00:25:32.650 --> 00:25:34.769
with the National Hurricane Center's best efforts.

00:25:35.109 --> 00:25:37.869
So why is an AI model, which is just trained

00:25:37.869 --> 00:25:40.450
on data, suddenly able to do better than models

00:25:40.450 --> 00:25:42.890
built on decades of atmospheric physics? The

00:25:42.890 --> 00:25:45.369
physics models are robust, but they struggle

00:25:45.369 --> 00:25:48.890
with chaotic, non -linear events like rapid intensification.

00:25:49.990 --> 00:25:52.890
The GDMI model is different. It's a data -driven

00:25:52.890 --> 00:25:56.059
model. It was trained on decades of storm histories

00:25:56.059 --> 00:25:59.099
and atmospheric data, and it learns to recognize

00:25:59.099 --> 00:26:01.380
complex patterns that lead to certain outcomes.

00:26:01.859 --> 00:26:04.000
That pattern recognition allowed it to anticipate

00:26:04.000 --> 00:26:07.019
the explosive leap in intensity far better than

00:26:07.019 --> 00:26:09.160
the traditional models could. So a new model

00:26:09.160 --> 00:26:11.859
leading in both track and intensity, that's a

00:26:11.859 --> 00:26:14.500
huge shift for the entire weather industry. It

00:26:14.500 --> 00:26:17.099
signals a profound revolution. The fact that

00:26:17.099 --> 00:26:20.019
a deep learning AI model could immediately outperform

00:26:20.019 --> 00:26:22.640
models that have been refined for decades tells

00:26:22.640 --> 00:26:24.460
you that artificial intelligence is about to

00:26:24.460 --> 00:26:26.920
fundamentally change how we forecast these storms.

00:26:27.579 --> 00:26:29.440
Let's bring it back home now to the institutional

00:26:29.440 --> 00:26:32.259
side of things. This statistically miraculous

00:26:32.259 --> 00:26:34.700
U .S. escape happened at a time when, according

00:26:34.700 --> 00:26:36.980
to research, our own federal agencies were in

00:26:36.980 --> 00:26:39.440
a state of operational weakness. And this raises

00:26:39.440 --> 00:26:42.359
a critical question of preparedness versus just

00:26:42.359 --> 00:26:45.339
sheer luck. Research indicates that both FEMA

00:26:45.339 --> 00:26:48.339
and the National Oceanic and Atmospheric Administration,

00:26:48.500 --> 00:26:51.839
or NOAA, entered the 2025 season in weakened

00:26:51.839 --> 00:26:54.980
states. This was mostly due to losing a lot of

00:26:54.980 --> 00:26:57.440
experienced staff over the last few years. And

00:26:57.440 --> 00:26:59.720
what does losing that experienced staff mean

00:26:59.720 --> 00:27:02.240
for an agency like the National Weather Service,

00:27:02.279 --> 00:27:04.680
which is part of NOAA? The impact is severe.

00:27:05.259 --> 00:27:07.779
When veteran forecasters leave, they take years

00:27:07.779 --> 00:27:10.460
of specialized, localized knowledge with them.

00:27:10.599 --> 00:27:13.420
You can't replace that overnight. Managers were

00:27:13.420 --> 00:27:15.880
trying to hire, but the federal process is slow

00:27:15.880 --> 00:27:19.279
and new staff need months of training. It creates

00:27:19.279 --> 00:27:22.119
gaps in institutional memory that can be dangerous

00:27:22.119 --> 00:27:24.720
during a high -stress event. On top of the staffing

00:27:24.720 --> 00:27:26.960
issues, there was also the very real threat of

00:27:26.960 --> 00:27:28.839
a government shutdown right in the middle of

00:27:28.839 --> 00:27:31.619
hurricane season. That shutdown risk was a huge

00:27:31.619 --> 00:27:34.500
administrative headwind. Now the core forecasters

00:27:34.500 --> 00:27:36.299
at the National Hurricane Center are considered

00:27:36.299 --> 00:27:38.519
essential so they would keep working. though

00:27:38.519 --> 00:27:40.880
without pay. The real disruption would hit the

00:27:40.880 --> 00:27:43.240
response and mitigation efforts, especially at

00:27:43.240 --> 00:27:45.539
FEMA. How would FEMA be compromised in a shutdown?

00:27:46.019 --> 00:27:48.940
FEMA relies on a huge support staff for logistics,

00:27:49.420 --> 00:27:52.119
processing aid, coordinating with states. And

00:27:52.119 --> 00:27:54.579
those people are often the first to be furloughed.

00:27:54.779 --> 00:27:56.759
So the forecasters could be issuing warnings,

00:27:57.079 --> 00:27:59.460
but the administrative machine needed to actually

00:27:59.460 --> 00:28:02.000
mobilize resources and help people would grind

00:28:02.000 --> 00:28:05.099
to a halt. So the whole response infrastructure

00:28:05.099 --> 00:28:08.730
was fragile. Exactly. The key takeaway from 2025

00:28:08.730 --> 00:28:11.470
is that the U .S. was exceptionally statistically

00:28:11.470 --> 00:28:14.250
fortunate not to be tested. We were spared a

00:28:14.250 --> 00:28:16.730
major hurricane landfall at the exact moment

00:28:16.730 --> 00:28:19.069
our critical agencies were battling these significant

00:28:19.069 --> 00:28:21.549
internal struggles. The atmosphere gave us a

00:28:21.549 --> 00:28:24.190
shield. As we look ahead to 2026, the forecast

00:28:24.190 --> 00:28:26.529
is all about balancing two conflicting factors.

00:28:27.230 --> 00:28:29.509
On one hand, we have the potential for an El

00:28:29.509 --> 00:28:31.750
Nino event to develop. Which usually means a

00:28:31.750 --> 00:28:34.170
quieter Atlantic season. Right. El Nino increases

00:28:34.170 --> 00:28:36.589
wind shear. which tear storms apart. So that

00:28:36.589 --> 00:28:38.710
would suggest a quieter season. But on the other

00:28:38.710 --> 00:28:41.190
side of scale, you have the incredible statistical

00:28:41.190 --> 00:28:44.690
anomaly we just witnessed. Precisely. It is highly,

00:28:44.930 --> 00:28:47.970
highly unusual to go two consecutive years without

00:28:47.970 --> 00:28:50.170
a U .S. hurricane landfall. It only happened

00:28:50.170 --> 00:28:53.130
six times since 1851. So the odds are not in

00:28:53.130 --> 00:28:55.670
our favor for a repeat. So the big question for

00:28:55.670 --> 00:28:59.369
you to think about is this. In 2026, will the

00:28:59.369 --> 00:29:01.670
large scale atmospheric patterns give us another

00:29:01.670 --> 00:29:04.890
lucky break? Or will our institutional preparedness

00:29:04.890 --> 00:29:07.710
be the only thing standing between us and the

00:29:07.710 --> 00:29:10.210
statistical certainty of a major hurricane landfall?

00:29:10.589 --> 00:29:12.710
You've been listening to Meteorology Matters,

00:29:12.710 --> 00:29:15.349
created by meteorologist Rob Jones. Now that

00:29:15.349 --> 00:29:17.829
you've heard both our English and Spanish versions,

00:29:17.869 --> 00:29:20.329
we really want your feedback. Is this bilingual

00:29:20.329 --> 00:29:22.089
approach helping more people connect with the

00:29:22.089 --> 00:29:24.490
science, or just making things messy? Don't stay

00:29:24.490 --> 00:29:26.390
quiet, jump on our socials and let us know what

00:29:26.390 --> 00:29:28.710
you think. Like it, share it, drop a comment,

00:29:28.809 --> 00:29:31.089
or send us a message directly. Your reaction's

00:29:31.089 --> 00:29:33.539
good, bad, or brutal. will shape how we move

00:29:33.539 --> 00:29:36.079
forward. Thanks for listening, and remember,

00:29:36.480 --> 00:29:38.960
the weather always matters, but so does your

00:29:38.960 --> 00:29:39.339
opinion.
