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Welcome to Meteorology Matters, everyone. Today,

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we're going to take a look at some pretty big

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changes going on in the institutions that study

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weather and climate. And we'll be discussing

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a really interesting debate about just where

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climate science stands at this moment. You've

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brought some really fascinating stuff for us

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to dig into today, an article about shake -ups

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at the National Oceanic and Atmospheric Administration.

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I'll just call it NOAA from now on. Sure. NOAA.

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And also a really thought -provoking piece from

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nature that takes a close look at how our knowledge

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about the climate is changing. I think our aim

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today should be to really break these sources

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down for our listeners. You know, pick out the

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most important takeaways and maybe even find

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some surprising links between them. Absolutely.

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So let's kick things off with the news from NOAA.

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One of the articles you shared, it's from Axios,

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talks about NOAA merging its Climate Prediction

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Center, that's the CPC, with another branch of

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the organization. And get this, the article cites

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anonymous sources who say that one of the main

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reasons for this move is a worry that the CPC,

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simply because of what it's called, might be

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targeted for budget cuts. Oh, wow. It's kind

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of alarming, you know, especially when you think

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about the fact that other federal agencies have

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actually cut funding for climate research before

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and even removed climate change data from their

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websites. It really does highlight, you know,

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the, how should I put this, the difficult atmosphere

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surrounding climate -related work within government

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right now. The idea that just the name Climate

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Prediction Center could be seen as a liability,

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well, it's concerning to say the least. Yeah.

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The article does say, though, that the CPC is

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expected to stay a separate center, at least

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for now, while they work out this integration.

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And their primary function, monitoring and predicting

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things like El Nino and La Nina and issuing those

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seasonal outlooks, it's a pretty big deal. Yeah.

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Hugely important. I mean that information has

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a huge impact on so many different sectors like

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agriculture and energy. It gives them those critical

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early warnings about big shifts in weather patterns

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that are coming down the line. But it's important

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to remember that the CPC isn't solely focused

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on tracking human -caused climate change or making

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those really long -term projections, the ones

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that go way beyond just a season or two. That

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responsibility actually falls to other parts

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of NOAA, like the National Centers for Environmental

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Information. Right. It's such a critical distinction

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to make, too. When we're talking about the CPC,

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we're mainly talking about the shorter cyclical

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climate patterns that have a pretty big impact

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on us right now. The long -term trends and the

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influence of, you know, human activity. That

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stuff is monitored and analyzed by different

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groups within NOAA. So if the CPC is perceived

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as being under threat, it really means our ability

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to forecast and prepare for things like El Nino

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and La Nina events, which could lead to widespread

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drought or flooding. That's what's at stake.

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And, you know, speaking of that bigger picture,

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the Axios article also brings up something interesting.

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It seems like NOAA is kind of downplaying the

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public visibility of its climate change related

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work. They've paused those monthly media calls

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that used to focus on global climate monitoring,

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and they've even changed the names of some of

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their monthly reports. And on top of that, there's

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talk of potential staff cuts within NOAA, which,

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well, it's understandable that people are worried

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about that. Plus, there's been discussion, the

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article says, about the current administration

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maybe considering privatizing or downsizing the

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National Weather Service. And experts are concerned

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that, you know, that could really upset the balance

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that's already in place, this collaboration between

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the government, universities, and the private

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sector when it comes to gathering and sharing

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all that crucial weather and climate data. And

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the article also points out that the director

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of the Weather Prediction Center, you know, the

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one that focuses on the shorter range fork, well,

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they'll be overseeing the CPC during this whole

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merger. Yeah, I think it's definitely something

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to keep an eye on. I mean, both centers, they

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both deal with forecasting, but their time horizons

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and specific areas of expertise are quite different.

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It does raise questions about how priorities

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might change and how resources are going to be

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allocated going forward. And that decreased public

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profile of climate change work, well, that's

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a significant development too. I mean, even if

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the data itself is still accessible, having less

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public discussion about it, it can easily lead

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to less public awareness and understanding of

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these crucial trends and the ongoing research

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that NOAA is doing. Absolutely. All right, let's

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switch gears a bit and turn to that perspective

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piece in nature called The Other Climate Crisis.

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The authors, Tiffany A. Shaw and Bjorn Stevens,

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they lay out a pretty compelling argument. They

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say that the main way climate science has been

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tackling things, they call it the standard approach,

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is basically hitting a wall. This standard approach,

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the way they explain it, has been pretty effective

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in explaining some of those big global climate

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patterns we've observed. You know, things like

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why land areas are warming up faster than the

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oceans and why the Arctic is warming so rapidly.

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And they say that this success was based on the

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idea that there's a clear distinction between

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large scale and small scale weather and climate

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phenomena and on applying fundamental laws of

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physics. It's kind of like that initial broad

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strokes understanding of how the planet reacts

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to having more greenhouse gases in the atmosphere.

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Yeah. Exactly. The standard approach has been

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the bedrock of a lot of our current understanding,

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wouldn't you say? Yeah. It allowed us to get

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a grasp on the basic mechanisms driving global

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climate change and to build models that can actually

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predict these responses on a large scale. The

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idea that there was this neat separation between

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these different scales, well, it kind of simplified

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what is an incredibly complex system. You know,

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it made it easier to analyze and predict things

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at the global level. Yeah. But here's the thing.

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Shaw and Stevens argue that as the planet keeps

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warming, we're starting to see these gaps between

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what's actually happening out there in the real

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world and what the standard approach would have

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predicted. And these discrepancies are particularly

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noticeable when we zoom in and look at things

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on a regional level. At the same time, they point

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out that these new computational methods are

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giving us different ways to look at these problems,

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new tools in our toolbox, so to speak. They actually

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draw a parallel to these like turning point moments

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in other areas of science. You know, when a bunch

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of unexplained observations eventually start

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to chip away at the confidence people have in

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the prevailing theory. I think the comparison

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to scientific revolutions in other fields is

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really, really insightful. It suggests that we

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might be standing at a pretty important crossroads

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in climate science. You know, the fact that we're

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seeing more and more of these regional discrepancies,

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it's not just a bit of random noise. It could

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be a sign that there's a fundamental limitation

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in how we're currently thinking about things.

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Yeah. And the nature piece emphasizes that while

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the standard approach has, for the most part,

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focused on those big planetary scale dynamics,

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many of the discrepancies that are building up

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are actually happening at those smaller regional

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scales. This might suggest that maybe that assumption

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that we started with about a clean separation

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between the big and the small stuff, it might

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not be holding up so well. Or it could be that

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there are really important processes happening

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at smaller scales that our current dominant way

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of thinking just isn't capturing very well. So

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while we've got to handle on the global warming

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trend overall, accurately predicting exactly

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how that's going to play out in your specific

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neighborhood is proving to be a lot trickier.

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And this is where things start to get really

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real for people. I mean, if the way large scale

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and small scale climate interact is actually

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more complicated than we thought, or if there

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are important regional factors that our global

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models aren't fully accounting for, well then

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our ability to give people accurate and actually

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useful climate information. at the local level.

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And that's the level where people actually feel

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the impacts. It's going to be limited. For sure.

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So the authors go on to talk about what these

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potential problems mean for policy, whether it's

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a full blown crisis or just a period of really

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significant change in the science. They argue

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that going forward, we need to use the actual

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climate signals that we're observing out there

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in the real world to really put those underlying

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assumptions and processes that drive warming

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to the test. We need to develop new ideas that

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can actually be tested and promote a more integrated

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way of thinking about the climate system, you

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know, one that can bridge the gaps between the

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different branches of climate science. The policy

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implications are huge, too. I mean, if the level

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of certainty we have at the regional level isn't

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as strong as we thought, it's directly going

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to affect how communities and governments plan

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for and adapt to the specific ways the climate

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change is going to hit them. That call for a

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more rigorous examination of the assumptions

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we're making in the development of new theories,

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that's essential. for both advancing the science

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and making our predictions more reliable at those

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local scales, the scales that matter most to

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people. Right. So in essence, what the Nature

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article is saying is that even though we've come

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a long way in understanding climate change as

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this global phenomenon, actually predicting and

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understanding the changes that happen on a regional

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level is proving to be a really, really tough

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challenge. And it might require us to completely

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rethink how we approach the science. They're

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basically calling for us to take a more critical

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look at the very foundation of our current climate

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models, you know, those basic assumptions. And

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they're saying we need to put more emphasis on

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figuring out why there's such a mismatch between

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what the models are predicting and what we're

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actually seeing on the ground in different places.

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It's a call for more granular and nuanced understanding,

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right? Yeah. I mean, we all get the big picture.

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The planet is getting warmer. That's clear. But

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the specifics of how that warming is playing

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out in different regions, that's proving to be

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incredibly complex. And addressing these discrepancies,

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that's absolutely essential for giving communities

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and policymakers the kind of localized, actionable

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information that they need to make informed decisions

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about the future. Just to kind of sum things

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up here, you've given us two perspectives that

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are connected, but also distinct, right? On the

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one hand, we have potential changes happening

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within the institutions in the U .S. that are

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actually doing the climate research and the forecasting.

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We've got the merger at NOAA and these broader

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concerns about, you know, where government efforts

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on climate are headed. And then on the other

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hand, we have the Nature article, which is presenting

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more fundamental challenge to the very way we

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scientifically understand climate change, you

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know, suggesting that the methods we've been

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relying on might be reaching their limits, especially

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when it comes to those regional forecasts, which

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are arguably the most important for people. And

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what's really fascinating here is how these two

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developments could interact. I mean, if those

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established ways of doing climate science really

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are struggling to accurately explain the changes

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happening on a regional level, then if we weaken

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the research capacity or reduce public communication

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about climate trends, well, that could seriously

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hold us back from actually addressing these discrepancies

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and coming up with those innovative new approaches

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that Shaw and Stevens are calling for in the

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Nature article. Right. It's all connected. And

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it brings up a super important question for everyone

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listening. How should these potential changes

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within these institutions and the fact that our

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scientific understanding is always evolving?

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How should those things influence how we interpret

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the climate information that's out there, and

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how we get ourselves ready for the future? The

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nature piece encourages us to think critically

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about, you know, the very basis of those climate

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predictions. And the news from NOAA really underscores

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the fact that this incredibly important science

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is always happening within a dynamic political

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and administrative context. It really highlights

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the need for both continuous progress in climate

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science itself and having a strong, well -supported

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system for conducting and communi - indicating

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that science effectively. And recognizing the

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limitations and the uncertainties that we have

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in our current understanding, like the Nature

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article points out, that's just as important

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as having the resources and the institutional

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backing to keep pushing those boundaries of climate

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knowledge forward. Couldn't have said it better

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myself. We hope this conversation today has given

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you a clearer picture of these important developments.

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And hey, don't forget to follow meteorologist

00:11:44.879 --> 00:11:48.620
Rob Jones on Instagram at meteorologist on TikTok

00:11:48.620 --> 00:11:51.480
at TV meteorologist and on YouTube. Just search

00:11:51.480 --> 00:11:54.460
for Rob Jones hurricane. You'll also find the

00:11:54.460 --> 00:11:57.019
Meteorology Matters podcast playlist on YouTube.

00:11:57.379 --> 00:12:01.100
And here's a final thought to chew on. If our

00:12:01.100 --> 00:12:03.279
current climate models, like that nature article

00:12:03.279 --> 00:12:05.740
suggested, are having a hard time with regional

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accuracy, what does that actually mean for how

00:12:08.679 --> 00:12:12.220
we plan and adapt at the local level? It seems

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to me it means that we need robust research,

00:12:15.179 --> 00:12:17.240
open discussions within the scientific community,

00:12:17.440 --> 00:12:19.600
and maybe an even more nuanced understanding

00:12:19.600 --> 00:12:21.740
of the uncertainties that come with those climate

00:12:21.740 --> 00:12:24.000
projections, especially at the scales where we

00:12:24.000 --> 00:12:25.860
feel the most direct and significant impacts.

00:12:26.179 --> 00:12:27.200
Thanks for listening, everybody.
