WEBVTT

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Okay, let's unpack this. For those of you who

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regularly track climate shifts and infrastructure

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planning, you already know how critical long

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-range weather data is, but what happens when

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the most advanced tool we have, designed specifically

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to give us foresight into our rainfall future,

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I mean, a system crucial for protecting lives

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and property, what happens when that's suddenly

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put on ice? Welcome to the Meteorology Matters

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podcast. Today we're taking a deep dive into

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something that while it really touches every

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single community across the United States, how

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we predict extreme rainfall, especially now as

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our climate is, let's face it, rapidly shifting.

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We're talking about the fundamental science that

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lets us prepare for dangerous flood events, and

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importantly, a groundbreaking program that was

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really poised to revolutionize that preparation.

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Until it wasn't, we're going to explore what

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this vital project, known as Atlas 15, was meticulously

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engineered to achieve. And, maybe more importantly,

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precisely why its most crucial component, the

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part that looks squarely into our future rainfall

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risks, has been, well... inexplicably halted.

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You're going to hear why leading experts believe

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this decision could leave entire communities

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dangerously vulnerable, especially with the escalating

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number of severe floods we're already seeing.

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This isn't just about, you know, numbers on a

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chart. It's about safety. It's about resilience

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and frankly the staggering cost of inaction.

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So let's set the stage. What exactly is Atlas

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15 and why is it considered so incredibly important

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for the safety and the long -term planning of

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our communities. That's really the foundational

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question, isn't it? What's truly groundbreaking

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about Atlas 15 is how it's designed. It's meant

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to be the definitive source, spatially continuous,

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for understanding precipitation frequency across

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the entire United States. Spatially continuous,

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so like... covering everywhere. Exactly. Think

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of it as this unparalleled national map. And

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it doesn't just show you how much rain might

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fall, but precisely the statistically expected

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amount for any given storm duration. So that

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could be anything from a quick five -minute downpour

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right up to, say, two months of continuous rain.

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60 days. Wow. Yeah, at any specific location

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you can imagine. And it's not about vague possibilities.

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It's about the precise probability of an event

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happening, like, you know, a 20 % chance chance

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that a certain rainfall amount will be exceeded

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in any given year. OK, so it gives planners actual

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odds to work with. Precisely. And this represents

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a truly monumental upgrade from our current standard,

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which is called Atlas 14. Right, Atlas 14. I've

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had that mentioned a lot in engineering context.

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Oh, absolutely. For decades, Atlas 14 has been

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the steadfast bedrock. Civil engineers, regional

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planners, they've all relied on it. It guides

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the design of everything from essential drainage

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systems to massive city infrastructure projects.

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Its data really underpins countless critical

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decisions that affect our daily lives, our safety,

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the very foundation of our built environment.

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So for decades, that's been our guiding star

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for planning. But now with our climate changing

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so fast, it sounds like that star is Well, it's

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moving, isn't it? And we definitely need a new

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map. Absolutely. That's a great way to put it.

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The core insight here, the real sort of paradigm

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shift with Atlas 15, is its move away from what's

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called a stationary assumption. A stationary

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assumption, meaning? Meaning it assumes the climate

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is stable. That extreme precipitation events

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don't significantly change over time. For decades,

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we designed things as if the climate were static.

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Imagine building a house for, say, 20th century

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weather and just assuming it would never fundamentally

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change. Which we now know isn't true. Exactly.

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But Atlas 15, for the very first time at this

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national scale, would account for future temporal

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trends in rainfall all the way through the year

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2100. It embraces a non -stationary assumption.

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Non -stationary. OK, so it builds in the fact

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that things are changing. Precisely. Think of

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it like this. A stationary approach is like predicting

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future traffic based only on today's patterns.

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OK. A non -stationary approach, which Atlas 15

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embraces, means you're also factoring in that,

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say, the number of cars on the road is growing

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every single year. So you predict, based on future

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traffic, not just what's happened before. That

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makes sense. You have to account for the trend.

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Right. And that foresight is absolutely crucial

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for planning resilient infrastructure. And what

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we know is a rapidly changing climate. The science

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has advanced. equivocally acknowledge that past

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patterns are no longer a perfect predictor of

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future risks, especially with warming global

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temperatures? That's a huge leap in thinking,

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isn't it? It means we're no longer just predicting

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weather in the short term, but predicting the

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impact of climate change on weather, specifically

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rainfall, decades out. And this wasn't just some

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like academic side project, right? This is a

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federally funded, broadly supported effort. Exactly

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right. It's important to note that the United

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States Congress, specifically through the bipartisan

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infrastructure law, actually provided the National

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Oceanic and Atmospheric Administration, NOAA,

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with direct funding to update Atlas 14 and, crucially,

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develop Atlas 15. NOAA's own Office of Water

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Prediction is developing it, with contributions

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from a really vast array of experts across government

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agencies, private industry, academia. This isn't

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some small, isolated project. It's a monumental

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collection. collaborative scientific endeavor

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backed by federal law and broad expertise. So

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Alice 15 sounds like the essential tool we desperately

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need, especially for a future with more extreme

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weather and escalating flood risks. But it's

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not quite that simple, is it? Things got complicated.

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We understand Atlas 15 was intended to be released

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in two distinct volumes. Can you break those

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down for us? What do they entail? And where do

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things stand now? Absolutely. It was intelligently

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envisioned in two parts, volume one and volume

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two. Volume one provides a comprehensive snapshot

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of current precipitation estimates. It meticulously

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accounts for temporal changes and historical

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observations right up to the present day. When

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it's published, this will significantly update

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and supersede the existing Atlas 14 data. So

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it brings us up to date based on recent history.

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Okay, so Volume 1 is like the modern version

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of Atlas 14 using the latest historical data.

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Pretty much. In that part of the project, Volume

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1 is still on track. Preliminary estimates for

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the contiguous US are expected to be available

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for peer review this year, 2025, and then published

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estimates by 2026. So that alone is a valuable

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update for planners and engineers working with,

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you know, contemporary conditions. OK, that's

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good news at least. But then there's volume two.

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Right. And here's where the true foresight and,

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well, the unexpected twist in this story comes

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in. Volume two is where the real forward looking

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capability resides. This volume was ingeniously

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designed to provide model based precipitation

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frequency estimates projected directly into the

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future. Okay, so that's the non -stationary part

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in action. Exactly. It takes the robust current

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estimates from Volume 1 and then applies these

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sophisticated adjustment factors based on downscaled

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climate model data. Essentially, it was built

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to show us, in granular, actionable detail, how

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rainfall risks, the frequency, the intensity

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of storms, how those will evolve in a warming

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world, peering decades into the future to help

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communities not just react but proactively prepare.

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And this Volume 2, the one that tells us about

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future risks, that's the part that has been stopped.

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We've heard conflicting reports about why. What

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exactly happened to this crucial component? That's

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correct. Work on volume two, specifically Atlas

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15's climate projections, has been put on indefinite

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hold for months now. According to reports, this

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decision came after a review of volume two was

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ordered this spring by Commerce Secretary Howard

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Litnick, who is an official appointed by the

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Donald Trump administration. OK, so a review

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was ordered by the Commerce Secretary. What was

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the official reason given? Well, a spokeswoman

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for the National Weather Service speaking on

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behalf of NOAA confirmed the delay. The statement

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was that the review is about making sure research

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dollars and technology investments are being

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put to the very best use for the American people.

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Maximizing resources. But you mentioned conflicting

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reports. Yes, because former federal officials

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who were intimately familiar with the project,

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they offer a different perspective. Ed Clark,

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for instance, he was the director of NOAA's National

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Water Center until recently. He noted that the

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research for Volume 2 was actually nearly complete

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before he retired in April. Nearly complete that's

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what he stated and he explicitly emphasized that

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the remaining work wasn't a large price tag Implying

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that cost wasn't really the primary barrier or

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perhaps shouldn't have been so we have these

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two narratives an official statement about maximizing

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resource use ensuring taxpayer money is well

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spent and on the other hand Experts like Clark

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saying the work was almost done wasn't that expensive

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and is incredibly vital From your perspective,

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what could be the potential arguments for initiating

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such a review, even if the research was nearing

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completion? And how do experts weigh those against

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the warnings we're hearing about losing this

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critical data? That's a really crucial point

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of contention. You could argue from a purely

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administrative standpoint that any new leadership

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or even existing leadership under a particular

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administration might want to review ongoing projects,

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you know, to ensure alignment with their priorities,

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perhaps scrutinize the methodology, maybe evaluate

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the underlying climate models for robustness,

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even if the scientists involved are confident.

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Due diligence, they might call it. Okay, so a

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standard procedural review, potentially. Potentially.

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However, experts like Clark are weighing that

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against the, frankly, immense public good this

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data promises. They argue that halting a nearly

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complete project, one that's described as relatively

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inexpensive at this stage and one with such profound

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implications for public safety and fiscal responsibility,

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well, it simply doesn't seem to align with the

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idea of best use of resources. Right. The urgency

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seems to be a major factor for them. Absolutely.

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The urgency of climate change impacts, which

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we're seeing daily, makes any delay and crucial

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foresight deeply concerning. Regardless of the

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stated intentions behind the review, the question

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really becomes whether a review is genuinely

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about optimizing things or if it inadvertently

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or some might argue intentionally hampers progress

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on climate sensitive projects like this one.

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That definitely makes the situation even more

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perplexing. So, OK, let's get down to brass tacks

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here. What is this indefinite suspension of volume

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two? mean for us, for the general public? If

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we lose this crucial future projection, what's

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the real tangible impact on our safety, our communities,

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and ultimately our wallets? This raises an absolutely

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vital question. And the answer is quite stark

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and immediate. We are not talking about hypothetical

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future problems, not at all. These are current

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escalating threats that impact communities right

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now. The toll of intensifying storms is already

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painfully apparent across the country. Just look

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at the first 15 days of July this year. The National

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Weather Service reported double the usual number

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of flash floods. Double. That's significant.

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It's huge. And this wasn't just a statistic.

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It included tragic delusions, like in central

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Texas, that claimed over 130 lives. Heavy rains

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in the Northeast drowned two people in New Jersey

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severely submerged New York's subway stations,

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paralyzing parts of the city. These aren't isolated

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anymore, they're becoming horrifyingly more frequent,

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more intense. And without the forward -looking

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data that Atlas 15 Volume 2 promised, communities

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are, frankly, tragically struggling to keep up.

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It feels like we're constantly reacting, not

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preparing. Exactly. And consider this alarming

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reality. Communities across the country are still

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relying on rainfall data that is decades old

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to determine their flood risks and design their

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infrastructure. Decades. Decades old. In this

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rapidly changing climate. Yes. Imagine trying

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to navigate a rapidly changing, unpredictable

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road ahead by looking only in your rearview mirror.

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That's essentially what we're doing without these

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future projections. Without Atlas 15 Volume 2,

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there will be no single authoritative national

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data set to show how rainfall and flood threats

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will undeniably increase as the world warms.

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This creates a dangerous and, frankly, expanding

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knowledge gap for absolutely crucial long -term

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planning. It leaves us blindsided by events that

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we could and really should anticipate. And even

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Volume 1, the updated historical data, might

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not be enough. Well, Jeremy Porter, who leads

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climate implications research at the First Street

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Foundation, he highlights that critical point.

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Even volume one, which uses historical data,

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he says, will be out of date very quickly because

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rising global temperatures are just so profoundly

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and rapidly altering precipitation patterns.

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Right. The underlying system's changing too fast.

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Exactly. The physics are clear. They're undeniable.

00:12:28.019 --> 00:12:30.559
A warmer atmosphere simply holds more moisture

00:12:30.559 --> 00:12:33.740
that provides significantly more fuel for extreme

00:12:33.740 --> 00:12:37.039
storms. His team's analysis found that a staggering

00:12:37.039 --> 00:12:40.120
20 percent of the U .S. has already seen a fourfold

00:12:40.120 --> 00:12:42.379
increase in the likelihood of what used to be

00:12:42.379 --> 00:12:44.740
considered a one in 100 year rainfall event.

00:12:44.940 --> 00:12:47.059
A fourfold increase for one fifth of the country

00:12:47.059 --> 00:12:49.419
already. Already. And these once rare events

00:12:49.419 --> 00:12:51.600
are now expected to become even more common.

00:12:52.059 --> 00:12:53.799
Turning what we thought of as once in a lifetime

00:12:53.799 --> 00:12:56.320
floods in to much more frequent, devastating

00:12:56.320 --> 00:12:58.700
occurrences. So it's not just about bigger storms.

00:12:58.820 --> 00:13:01.080
It's like our whole definition of extreme is

00:13:01.080 --> 00:13:03.580
being rapidly rewritten, and our current plans

00:13:03.580 --> 00:13:05.840
just aren't accounting for it. What's the practical

00:13:05.840 --> 00:13:08.419
implication of that for, say, a city engineer

00:13:08.419 --> 00:13:11.120
trying to design a bridge or a culvert? Precisely.

00:13:11.259 --> 00:13:13.200
It's a moving target, and they're aiming based

00:13:13.200 --> 00:13:16.529
on old information. Ed Clark, the former NOAA

00:13:16.529 --> 00:13:19.210
official we mentioned, he explicitly stated that

00:13:19.210 --> 00:13:22.429
delaying or cancelling Atlas 15's climate injections

00:13:22.429 --> 00:13:25.070
could leave communities dangerously unprepared

00:13:25.070 --> 00:13:27.730
for these shifting flood risks. He stressed that

00:13:27.730 --> 00:13:29.970
it makes it significantly harder, maybe even

00:13:29.970 --> 00:13:32.529
impossible sometimes, for engineers to properly

00:13:32.529 --> 00:13:35.830
design buildings, bridges, road culverts, all

00:13:35.830 --> 00:13:38.570
sorts of vital projects, to design them to cope

00:13:38.570 --> 00:13:40.950
with future rainfall extremes that are no longer

00:13:40.950 --> 00:13:44.470
theoretical, but, uh... And he linked it to cost

00:13:44.470 --> 00:13:47.289
savings, didn't he? He did. His summation was

00:13:47.289 --> 00:13:49.889
powerful, I thought. He said, designing our infrastructure

00:13:49.889 --> 00:13:52.350
for resilience is fundamentally a cost -saving

00:13:52.350 --> 00:13:54.610
measure. When we don't design for these future

00:13:54.610 --> 00:13:56.669
conditions, we are essentially guaranteeing that

00:13:56.669 --> 00:13:59.289
we'll have to pay far more later, often repeatedly.

00:13:59.690 --> 00:14:02.450
To repair or replace severely damaged infrastructure,

00:14:02.830 --> 00:14:05.690
it drains taxpayer dollars and massively disrupts

00:14:05.690 --> 00:14:07.330
lives. That really puts it in perspective. It's

00:14:07.330 --> 00:14:09.129
not just about the initial cost, but the long

00:14:09.129 --> 00:14:11.950
-term cost of not preparing. Exactly. And Chad

00:14:11.950 --> 00:14:13.929
Brigennis, he's the executive director of the

00:14:13.929 --> 00:14:16.789
Association of State Floodplain Managers. He

00:14:16.789 --> 00:14:19.730
emphasizes this point, especially for you, the

00:14:19.730 --> 00:14:23.169
taxpayer. He points out that city and state regulations

00:14:23.169 --> 00:14:25.889
and the civil engineers designing critical infrastructure,

00:14:26.169 --> 00:14:28.529
they aren't just encouraged. They're often required

00:14:28.529 --> 00:14:31.210
to consult NOAA's data. And these projects, you

00:14:31.210 --> 00:14:33.809
know, bridges, dams, drainage systems, they're

00:14:33.809 --> 00:14:36.929
meant to last 50 years, maybe even more. 50 years

00:14:36.929 --> 00:14:39.679
or more built on potentially outdated data. That's

00:14:39.679 --> 00:14:42.720
the risk. So without these future projections,

00:14:43.019 --> 00:14:49.980
Brigidus asks us to think about it. infrastructure

00:14:49.980 --> 00:14:52.779
that simply wasn't designed for the weather conditions

00:14:52.779 --> 00:14:55.080
climate change is bringing. The cycle of damage

00:14:55.080 --> 00:14:57.600
and repair. Precisely. His conclusion is crystal

00:14:57.600 --> 00:14:59.879
clear. If we have this future information we

00:14:59.879 --> 00:15:01.620
won't have to continue to be in the cycle of

00:15:01.620 --> 00:15:04.379
damage, repair, replace, damage again. This isn't

00:15:04.379 --> 00:15:06.600
just about scientific accuracy. It's about fundamental

00:15:06.600 --> 00:15:09.100
fiscal responsibility and the basic well -being

00:15:09.100 --> 00:15:12.250
of every American community. That's a very stark

00:15:12.250 --> 00:15:15.110
reminder of the financial and human cost. And

00:15:15.110 --> 00:15:17.429
wasn't there even concrete evidence of this impact

00:15:17.429 --> 00:15:20.230
from areas that did get a glimpse of this forward

00:15:20.230 --> 00:15:23.009
looking data? Right. A pilot program. There was,

00:15:23.230 --> 00:15:26.730
yes. Which makes the suspension even more frustrating

00:15:26.730 --> 00:15:29.450
for many observers. A pilot version of Atlas

00:15:29.450 --> 00:15:32.389
15 was done for Montana, and it did include future

00:15:32.389 --> 00:15:34.710
projections. It showed that rainfall rates for

00:15:34.710 --> 00:15:36.830
what were once considered one in a hundred year

00:15:36.830 --> 00:15:39.230
events could increase significantly on the current

00:15:39.230 --> 00:15:42.350
warming path. This is an abstract theory. It's

00:15:42.350 --> 00:15:44.929
tangible data for a specific region. And what

00:15:44.929 --> 00:15:48.169
about other vulnerable areas? Well, flood -prone

00:15:48.169 --> 00:15:50.590
regions like the Northeast and Appalachia, they

00:15:50.590 --> 00:15:53.289
are expected to experience even greater increases

00:15:53.289 --> 00:15:56.360
in extreme rainfall. But without Volume 2 being

00:15:56.360 --> 00:15:58.659
completed and released, those states won't know

00:15:58.659 --> 00:16:01.159
the exact extent of these critical changes. They're

00:16:01.159 --> 00:16:03.779
left planning, essentially, flying blind. Planning

00:16:03.779 --> 00:16:06.600
for a past climate that, quite simply, no longer

00:16:06.600 --> 00:16:08.679
exists. It's like knowing there's a storm coming,

00:16:08.860 --> 00:16:10.980
but having no idea if it's just a drizzle or

00:16:10.980 --> 00:16:13.620
a Category 5 hurricane. This is a truly sobering

00:16:13.620 --> 00:16:15.919
picture. Okay, let's shift gears slightly for

00:16:15.919 --> 00:16:18.370
a moment, though it's all connected. Let's zoom

00:16:18.370 --> 00:16:19.970
in on the cutting -edge science that was being

00:16:19.970 --> 00:16:23.029
developed for Volume 2. What exactly are we talking

00:16:23.029 --> 00:16:25.690
about when we discuss tools like iMURG and these

00:16:25.690 --> 00:16:27.990
hybrid models? And what capability are we actually

00:16:27.990 --> 00:16:31.090
missing out on by not having Volume 2 move forward?

00:16:31.259 --> 00:16:33.279
Absolutely. It's important to understand the

00:16:33.279 --> 00:16:35.860
sophistication here. The research we're discussing,

00:16:35.940 --> 00:16:38.100
leveraging something kind of integrated multi

00:16:38.100 --> 00:16:40.320
-satellite retrievals for global precipitation

00:16:40.320 --> 00:16:43.159
measurement. IMERG. IMERG, exactly. It's precisely

00:16:43.159 --> 00:16:45.080
the kind of advanced science that would have

00:16:45.080 --> 00:16:49.360
fed directly into Atlas 15 Volume 2. IMERG is

00:16:49.360 --> 00:16:52.039
really a next -generation satellite -based precipitation

00:16:52.039 --> 00:16:54.840
product. It's incredibly sophisticated. It doesn't

00:16:54.840 --> 00:16:57.460
just collect data from one satellite, but combines

00:16:57.460 --> 00:17:00.299
data from various satellite sources and then

00:17:00.299 --> 00:17:02.590
crucially it rigorously calibrates that data

00:17:02.590 --> 00:17:05.289
with extensive global ground observations rain

00:17:05.289 --> 00:17:08.950
gauges on the ground. This multi -source, validated

00:17:08.950 --> 00:17:11.509
approach gives it an incredibly high degree of

00:17:11.509 --> 00:17:14.170
accuracy and reliability for precipitation estimates,

00:17:14.710 --> 00:17:17.069
especially across vast regions where ground data

00:17:17.069 --> 00:17:19.349
might be sparse. Okay, so it's pointing together

00:17:19.349 --> 00:17:22.029
the best of space -based and ground -based data?

00:17:22.210 --> 00:17:24.500
In essence, yes. And the study we're looking

00:17:24.500 --> 00:17:28.140
at introduces a novel hybrid PDF model for estimating

00:17:28.140 --> 00:17:30.519
what are called depth duration frequency curves,

00:17:30.819 --> 00:17:34.259
DDF curves, using this IMERG data. DDF curves.

00:17:34.380 --> 00:17:36.279
Remind us what those are again. Right. DDF curves

00:17:36.279 --> 00:17:39.079
are basically the precision blueprints for engineers

00:17:39.079 --> 00:17:41.619
and hydrologists. They tell you exactly how much

00:17:41.619 --> 00:17:45.079
rain depth is expected over a given time duration,

00:17:45.140 --> 00:17:49.220
say, one hour or 24 hours. And critically, how

00:17:49.220 --> 00:17:51.500
often frequency that kind of event is likely

00:17:51.500 --> 00:17:54.299
to occur maybe once every 10 years, or once every

00:17:54.299 --> 00:17:57.700
100 years, or even more rarely. This data is

00:17:57.700 --> 00:17:59.779
the absolute bedrock for designing everything

00:17:59.779 --> 00:18:02.259
from storm drains and culverts to bridges and

00:18:02.259 --> 00:18:04.920
skyscrapers, ensuring they can handle the expected

00:18:04.920 --> 00:18:07.480
rainfall without failing. Got it. So these DDF

00:18:07.480 --> 00:18:09.579
curves are the vital numbers engineers need.

00:18:09.819 --> 00:18:12.019
How does this new hybrid model improve on how

00:18:12.019 --> 00:18:14.019
we get those numbers? Well, the true brilliance

00:18:14.019 --> 00:18:16.220
of this hybrid model isn't just about using more

00:18:16.220 --> 00:18:19.180
data, like from IMERG, but its inherent intelligence,

00:18:19.180 --> 00:18:21.799
if you will. This model integrates no less than

00:18:21.799 --> 00:18:23.720
four four different probability distribution

00:18:23.720 --> 00:18:26.660
functions. Okay, probability distribution functions.

00:18:26.859 --> 00:18:28.779
Yeah. Those are the math formulas. Exactly. They're

00:18:28.779 --> 00:18:31.559
just the mathematical formulas or models that

00:18:31.559 --> 00:18:34.880
help us predict the likelihood of different rainfall

00:18:34.880 --> 00:18:37.880
amounts happening. The probability of getting

00:18:37.880 --> 00:18:40.299
two inches in an hour versus five inches, for

00:18:40.299 --> 00:18:43.799
example. Now, why is using four of them so important?

00:18:44.029 --> 00:18:46.930
Because no single mathematical model works perfectly

00:18:46.930 --> 00:18:50.289
across all climate zones. A formula that's great

00:18:50.289 --> 00:18:53.710
for, say, the rainy Pacific Northwest might not

00:18:53.710 --> 00:18:56.450
be the best for the arid southwest. Ah, so different

00:18:56.450 --> 00:18:58.730
climates need different math. Essentially, yes.

00:18:59.069 --> 00:19:01.509
What this hybrid approach does is it dynamically

00:19:01.509 --> 00:19:04.250
adjusts its weights. How much importance it gives

00:19:04.250 --> 00:19:06.529
to each of those four individual mathematical

00:19:06.529 --> 00:19:09.369
models based on the specific local climate conditions.

00:19:09.849 --> 00:19:12.390
This optimizes the rainfall estimates for both

00:19:12.390 --> 00:19:15.299
wet regions and dry regions, making the predictions

00:19:15.299 --> 00:19:18.099
much more accurate and precisely tailored to

00:19:18.099 --> 00:19:20.740
specific geographies, that's crucial for real

00:19:20.740 --> 00:19:22.900
world applications. So it adapts itself depending

00:19:22.900 --> 00:19:25.619
on where you're looking. Precisely. And the study

00:19:25.619 --> 00:19:28.240
rigorously showed that the DDF estimates derived

00:19:28.240 --> 00:19:30.880
from IMERG using this hybrid model aligned very

00:19:30.880 --> 00:19:33.720
strongly with the existing Atlas 14 data, where

00:19:33.720 --> 00:19:37.099
we have good ground truth from over 2 ,300 stations

00:19:37.099 --> 00:19:40.569
across the contiguous US. This validation isn't

00:19:40.569 --> 00:19:43.349
just a detail. It powerfully demonstrates its

00:19:43.349 --> 00:19:46.089
robust capability for continental scale extreme

00:19:46.089 --> 00:19:49.009
precipitation analysis. It's not just a theoretical

00:19:49.009 --> 00:19:51.710
concept. It's a proven, high -performing tool

00:19:51.710 --> 00:19:54.150
ready for prime time. That sounds like a significant

00:19:54.150 --> 00:19:56.869
step forward in accuracy. It is. A key innovation

00:19:56.869 --> 00:19:59.369
here is that this hybrid model gives us a much

00:19:59.369 --> 00:20:01.809
better way to understand how precipitation extremes

00:20:01.809 --> 00:20:05.069
actually vary with climate zone and wetness conditions.

00:20:05.390 --> 00:20:07.630
That's a major improvement over relying on just

00:20:07.630 --> 00:20:11.059
one single model of for everywhere. And its adaptability

00:20:11.059 --> 00:20:13.240
to climate change projections is absolutely key.

00:20:13.480 --> 00:20:15.259
Remember, those projections predict not only

00:20:15.259 --> 00:20:17.539
increases in extreme precipitation, but also

00:20:17.539 --> 00:20:19.660
significant shifts in patterns. Right. Things

00:20:19.660 --> 00:20:21.839
might get wetter overall in some places, but

00:20:21.839 --> 00:20:24.119
maybe the rain falls in shorter, more intense

00:20:24.119 --> 00:20:26.930
bursts, for example. Exactly. So, for instance,

00:20:27.150 --> 00:20:29.089
in high precipitation areas, like the eastern

00:20:29.089 --> 00:20:31.470
US, where heavy, prolonged rains are common,

00:20:31.849 --> 00:20:34.470
the model might determine an optimal equal weighting

00:20:34.470 --> 00:20:36.690
for its components to capture those events accurately.

00:20:37.230 --> 00:20:40.450
But then, in drier, western areas, where maybe

00:20:40.450 --> 00:20:42.589
flashier, shorter -duration intense events are

00:20:42.589 --> 00:20:46.240
more critical, it intelligently adapts. It might

00:20:46.240 --> 00:20:48.319
give more weight to the mathematical models better

00:20:48.319 --> 00:20:51.420
suited for those specific conditions. This capability

00:20:51.420 --> 00:20:54.779
means significantly more accurate extreme precipitation

00:20:54.779 --> 00:20:57.599
forecasting tailored for very different regional

00:20:57.599 --> 00:21:00.160
needs across the country. That kind of regional

00:21:00.160 --> 00:21:02.839
precision sounds incredibly valuable. It moves

00:21:02.839 --> 00:21:04.880
away from a one -size -fits -all approach to

00:21:04.880 --> 00:21:07.019
something that genuinely understands the nuances

00:21:07.019 --> 00:21:09.940
of different climates. Were there any limitations

00:21:09.940 --> 00:21:12.220
or biases identified? I mean, it's pretty common

00:21:12.220 --> 00:21:14.869
in complex modeling like this, right? Absolutely,

00:21:15.049 --> 00:21:17.769
and it's important to acknowledge them. Understanding

00:21:17.769 --> 00:21:20.829
limitations is just part of robust science. The

00:21:20.829 --> 00:21:23.430
research did identify some biases, which is normal

00:21:23.430 --> 00:21:27.170
and expected. For example, IMERG tends to slightly

00:21:27.170 --> 00:21:29.950
underestimate rainfall in some of the drier western

00:21:29.950 --> 00:21:32.829
regions, particularly for shorter duration events,

00:21:32.950 --> 00:21:35.849
and it might slightly overestimate in some wetter

00:21:35.849 --> 00:21:38.130
eastern areas, especially for longer durations.

00:21:38.230 --> 00:21:41.069
Okay, so there are known tendencies. Yes, but

00:21:41.069 --> 00:21:43.710
these are well understood biases. The crucial

00:21:43.710 --> 00:21:46.049
point is that because they are understood, they

00:21:46.049 --> 00:21:48.569
can be accounted for. They can be further refined

00:21:48.569 --> 00:21:51.289
through ongoing research and calibration. These

00:21:51.289 --> 00:21:53.730
aren't fundamental flaws that undermine the model's

00:21:53.730 --> 00:21:56.049
overall utility. They're known quantities that

00:21:56.049 --> 00:21:58.089
engineers and planners are actually trained to

00:21:58.089 --> 00:22:00.450
work with. Knowing these biases allows them to

00:22:00.450 --> 00:22:02.690
apply precise adjustment factors in their designs,

00:22:03.150 --> 00:22:05.650
ensuring real -world accuracy. So the biases

00:22:05.650 --> 00:22:08.839
are known and manageable. Correct. And this kind

00:22:08.839 --> 00:22:11.640
of precise, regionally adapted predictive analytics

00:22:11.640 --> 00:22:15.059
is truly essential for developing effective climate

00:22:15.059 --> 00:22:18.200
adaptation strategies. It directly supports better

00:22:18.200 --> 00:22:20.900
flood risk management. It leads to improved and

00:22:20.900 --> 00:22:23.519
more resilient infrastructure planning. It even

00:22:23.519 --> 00:22:26.059
enables more effective ecosystem conservation

00:22:26.059 --> 00:22:28.819
in areas most vulnerable to climate -induced

00:22:28.819 --> 00:22:31.799
extreme weather events. Plus, the ability to

00:22:31.799 --> 00:22:33.900
seamlessly integrate this kind of model with

00:22:33.900 --> 00:22:36.079
machine learning techniques further amplifies

00:22:36.079 --> 00:22:38.640
its potential. It allows for continuous learning

00:22:38.640 --> 00:22:40.839
and improvement in forecasting accuracy over

00:22:40.839 --> 00:22:42.960
time. It's like a living tool that learns and

00:22:42.960 --> 00:22:45.519
gets better. It certainly sounds like the science

00:22:45.519 --> 00:22:48.519
is not only ready, but really capable of providing

00:22:48.519 --> 00:22:50.839
the nuanced, forward -looking information our

00:22:50.839 --> 00:22:52.839
communities desperately need to face a changing

00:22:52.839 --> 00:22:55.200
climate. It seems, then, that the suspension

00:22:55.200 --> 00:22:59.319
of Volume 2 could really lead us to inadvertently

00:22:59.319 --> 00:23:01.420
or perhaps deliberately ignore these critical

00:23:01.420 --> 00:23:03.420
insights into our changing climate, potentially

00:23:03.420 --> 00:23:05.140
leaving communities much more vulnerable. That's

00:23:05.140 --> 00:23:07.980
a profound implication. It is. It essentially

00:23:07.980 --> 00:23:10.359
means we might be consciously choosing to operate

00:23:10.359 --> 00:23:13.000
with an incomplete picture of our future risks,

00:23:13.039 --> 00:23:15.299
despite having the scientific capability right

00:23:15.299 --> 00:23:18.220
here, right now, to paint a much clearer one.

00:23:18.799 --> 00:23:21.720
So, to try and tie all this together, we've explored

00:23:21.720 --> 00:23:24.299
ALICE -15, its immense promise to help us foresee

00:23:24.299 --> 00:23:27.440
future rainfall extremes, and the really groundbreaking

00:23:27.440 --> 00:23:29.720
science, like IMERG and the hybrid models, that

00:23:29.720 --> 00:23:32.359
was driving it forward. Yet, the critical volume

00:23:32.359 --> 00:23:34.960
2, The part designed specifically to give us

00:23:34.960 --> 00:23:38.259
those absolutely vital future projections that's

00:23:38.259 --> 00:23:41.039
been indefinitely suspended following a review

00:23:41.039 --> 00:23:43.279
ordered by officials in the Donald Trump administration.

00:23:43.619 --> 00:23:45.420
And as we've heard, this isn't just about scientific

00:23:45.420 --> 00:23:48.339
data, as important as that is. It seems deeply

00:23:48.339 --> 00:23:50.480
connected to the safety of our homes, the long

00:23:50.480 --> 00:23:52.380
-term resilience of our roads, bridges, cities,

00:23:52.559 --> 00:23:54.660
our infrastructure, and of course the massive

00:23:54.660 --> 00:23:57.160
escalating costs we continue to face from ever

00:23:57.160 --> 00:23:58.799
-increasing flood events across the country.

00:23:58.890 --> 00:24:01.450
That's right. Without these authoritative future

00:24:01.450 --> 00:24:03.730
projections, communities are really left trying

00:24:03.730 --> 00:24:06.269
to build and plan with an incomplete picture.

00:24:06.589 --> 00:24:09.029
They're relying on outdated assumptions in a

00:24:09.029 --> 00:24:11.250
world that is fundamentally and rapidly changing

00:24:11.250 --> 00:24:13.730
around them. The consequences are tangible. We

00:24:13.730 --> 00:24:16.670
see them in the news. More frequent and devastating

00:24:16.670 --> 00:24:19.630
floods, higher repair costs for taxpayers, and

00:24:19.630 --> 00:24:22.349
most tragically, more lives put needlessly at

00:24:22.349 --> 00:24:25.009
risk. The ability to predict these future conditions

00:24:25.009 --> 00:24:27.710
using advanced tools like the IMERG hybrid model.

00:24:27.920 --> 00:24:30.460
It sounds less like an academic exercise and

00:24:30.460 --> 00:24:32.740
more like, as you said, a taxpayer -saving, even

00:24:32.740 --> 00:24:35.160
life -saving imperative. Many experts would certainly

00:24:35.160 --> 00:24:37.900
argue that. So the decision to halt this work,

00:24:38.240 --> 00:24:41.400
to pause this progress, it means that we as a

00:24:41.400 --> 00:24:44.380
nation are potentially less informed and consequently

00:24:44.380 --> 00:24:47.619
far more vulnerable to the accelerating impacts

00:24:47.619 --> 00:24:50.039
of climate change that we know are happening.

00:24:50.319 --> 00:24:52.680
As you or listeners go about your day, maybe

00:24:52.680 --> 00:24:54.680
consider the floods we've already seen just this

00:24:54.680 --> 00:24:57.400
July alone. Think about the mounting costs of

00:24:57.400 --> 00:25:01.200
rebuilding both financially and emotionally for

00:25:01.200 --> 00:25:04.000
the communities affected. Now just imagine for

00:25:04.000 --> 00:25:05.640
a moment if our communities actually had that

00:25:05.640 --> 00:25:08.019
authoritative forward -looking data that Atlas

00:25:08.019 --> 00:25:11.099
15 Volume 2 promised. What fundamental changes

00:25:11.099 --> 00:25:13.339
would we make? In our infrastructure, our zoning

00:25:13.339 --> 00:25:15.839
laws, our emergency preparedness plans, what

00:25:15.839 --> 00:25:18.099
devastating disasters could we potentially avert

00:25:18.099 --> 00:25:20.559
or at least mitigate significantly? That's something

00:25:20.559 --> 00:25:22.519
truly worth mulling over. Thank you for joining

00:25:22.519 --> 00:25:24.640
us on this critical discussion for the Meteorology

00:25:24.640 --> 00:25:26.799
Matters podcast. It's certainly given us a lot

00:25:26.799 --> 00:25:29.160
to think about. For more insights into the world

00:25:29.160 --> 00:25:31.259
of meteorology and how it impacts all our lives,

00:25:31.619 --> 00:25:33.299
make sure you follow meteorologist Rob Jones

00:25:33.299 --> 00:25:36.000
on Instagram. His handle there is simply Meteorologist.

00:25:36.339 --> 00:25:38.960
On TikTok, you can find him at TVMeteorologist.

00:25:39.130 --> 00:25:40.950
And for all things weather, including our full

00:25:40.950 --> 00:25:43.549
podcast playlist, you can subscribe to Rob Jones

00:25:43.549 --> 00:25:46.690
Hurricane over on YouTube. You'll find the Meteorology

00:25:46.690 --> 00:25:49.470
Matters podcast playlist right there, too. Stay

00:25:49.470 --> 00:25:51.230
informed and stay curious.
