WEBVTT - Forecasting El Niño’s Ferocity

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<v Speaker 1>Financial markets can no longer ignore the impacts of climate change,

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<v Speaker 1>shifting consumer expectations and increasing regulatory scrutiny. These forces are

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<v Speaker 1>reshaping industries, redefining risk and creating new opportunities for long-term

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<v Speaker 1>value creation. Through conversations with industry leaders, investors and subject

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<v Speaker 1>matter experts, we explore where sustainability is translating into measurable

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<v Speaker 1>financial outcomes. Welcome to Sustainability Currents, brought to you by

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<v Speaker 1>Bloomberg Intelligence.

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<v Speaker 2>My name is Andy Stevenson, and I'm the Senior Climate

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<v Speaker 2>Analyst here at Bloomberg Intelligence. And today we're going to

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<v Speaker 2>talk about all things El Nino. It's certainly a topic

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<v Speaker 2>really around the world that is driving a lot of attention.

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<v Speaker 2>And we're going to dig in deep here with my guest, Dr.

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<v Speaker 2>Hansi Singh, founder and CEO of Planet AI.

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<v Speaker 3>Welcome to the program.

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<v Speaker 4>Thank you, Andrew. It's great to be here. Great.

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<v Speaker 2>Could you please tell the audience a little bit about

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<v Speaker 2>your company and what you do?

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<v Speaker 3>That would be really helpful.

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<v Speaker 4>Absolutely. So we do all things El Nino and anything

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<v Speaker 4>sort of long-term in the climate system in terms of forecasting.

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<v Speaker 4>So our specialty is not a seven-day weather forecast, but

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<v Speaker 4>it is a forecast beyond that seven days. So anywhere

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<v Speaker 4>from one week all the way out to about a year.

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<v Speaker 4>And you know, I think that this is kind of

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<v Speaker 4>an interesting area because there's not many people actively using

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<v Speaker 4>this information. The one area that people are actively using

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<v Speaker 4>this information has been certain highly specialized hedge funds, for example.

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<v Speaker 4>as well as certain energy trading desks as well. But

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<v Speaker 4>this generally is just not an area of forecasting that

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<v Speaker 4>is used by the general public, used by your average business.

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<v Speaker 4>And so, you know, I started this company because this

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<v Speaker 4>really felt like an opportunity. It's an area that's just

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<v Speaker 4>advanced so much, you know, specifically in the last, you know,

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<v Speaker 4>decade or so. And it's an area where, yeah, people

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<v Speaker 4>are still not using the weather information that they need.

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<v Speaker 4>And I think like You know, this is a sustainability

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<v Speaker 4>podcast with climate change. This is really information that I

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<v Speaker 4>believe more people need to use, specifically because resilience requires planning.

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<v Speaker 4>And so in order to plan, you got to know

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<v Speaker 4>what you're planning for. And so, you know, the great

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<v Speaker 4>thing is there's so many companies out there now that

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<v Speaker 4>are offering sort of climate, you know, resilience advice. but

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<v Speaker 4>a lot of people, they also want to know, okay,

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<v Speaker 4>I know what the next 20 years are going to

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<v Speaker 4>look like, but what about the next year, right? How

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<v Speaker 4>do I plan for that next year? And this is

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<v Speaker 4>where we really come in. So we're in that sort

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<v Speaker 4>of sweet spot.

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<v Speaker 1>Yeah.

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<v Speaker 4>Yeah.

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<v Speaker 2>I mean, if you think about the reinsurance industry, that

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<v Speaker 2>is all they insure is one year. So that's like

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<v Speaker 2>the outer bound, effectively, that is the outer bound of

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<v Speaker 2>what they're doing. I mean, obviously, if you look at

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<v Speaker 2>catastrophic bonds, they can do multiple years, multiple years, but

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<v Speaker 2>they're really just doing one year and guessing for the

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<v Speaker 2>rest of it, hoping for the best. And clearly, I mean,

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<v Speaker 2>there are many things valuable about being able to forecast

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<v Speaker 2>out a year, clearly, with respect to crops and everything else.

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<v Speaker 2>But in the context of where we are today, which

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<v Speaker 2>is sort of kind of walking into this El Nino situation,

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<v Speaker 2>I think it's particularly valuable because this is.

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<v Speaker 3>A You tell me, it's the end of March.

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<v Speaker 2>Is that when the actual El Nino season is going

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<v Speaker 2>to be kind of over and done with?

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<v Speaker 4>Yeah, March, April-ish. Yeah. Yeah, these things take a long

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<v Speaker 4>time to dissipate. But, you know, definitely, like, so, you know,

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<v Speaker 4>the lead up to this has been over the course

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<v Speaker 4>of this year, right? Yeah. In January, that's when this

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<v Speaker 4>El Nino first started appearing in our forecasts. You know,

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<v Speaker 4>I started talking about it. It's very exciting when you're

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<v Speaker 4>a seasonal forecaster and you see something like this coming up, right?

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<v Speaker 4>You're like, oh, my gosh, it's an El Nino. So

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<v Speaker 4>much predictability, so much, you know, like kind of weather

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<v Speaker 4>anomalies that we can tell you about, you can plan for.

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<v Speaker 4>It's great, right? And, you know, we've been watching it

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<v Speaker 4>sort of over the course of the last six months,

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<v Speaker 4>the last eight months. And, yeah, it's just been getting

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<v Speaker 4>stronger and stronger. Initially, you know, I was like, yeah,

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<v Speaker 4>moderate El Nino. That was my January prediction. And then,

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<v Speaker 4>you know, in a couple of months, I'm like, yeah,

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<v Speaker 4>this looks like it's going to be pretty strong. And

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<v Speaker 4>then a couple of months after that, oh, this is

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<v Speaker 4>definitely in the super territory.

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<v Speaker 1>Right.

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<v Speaker 4>This is definitely. Now we're talking about Godzilla. Yeah.

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<v Speaker 3>Yeah, yeah.

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<v Speaker 2>And just so people on the podcast understand, a super

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<v Speaker 2>El Nino is really surface temperatures above two Celsius above zero. normal,

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<v Speaker 2>and this is 3.2 is what they're targeting now, maybe

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<v Speaker 2>even higher, right, in terms of what the surface temperature

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<v Speaker 2>of the oceans are going to end up at, which

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<v Speaker 2>puts them in the super duper El Nino category.

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<v Speaker 3>I don't know if there is one yet, but there

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<v Speaker 3>probably should be.

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<v Speaker 2>If we're going, if two is super, 3.2 is on steroids, right?

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<v Speaker 4>Yeah, unprecedented. I mean, you hear a lot of hyperbolic

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<v Speaker 4>language around this, and I think that is like I mean,

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<v Speaker 4>we have not seen this in the observational record before.

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<v Speaker 4>And so, you know, it's a big deal. I mean,

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<v Speaker 4>I think the other thing here too is that whenever

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<v Speaker 4>people hear El Nino, I think there's a lot of

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<v Speaker 4>fear about it. But really, you know, it's basically a

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<v Speaker 4>pattern of climate variability, right? So when we say variability,

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<v Speaker 4>it's like, you know, each year is a little bit

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<v Speaker 4>different than the last year. Of course, we're warming our planet.

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<v Speaker 4>So that means that there's like a trend in that,

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<v Speaker 4>you know, year to year, we see kind of this

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<v Speaker 4>trend as well. But, you know, those year to year variations, like,

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<v Speaker 4>El Nino and La Ninas, they're responsible for some of those.

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<v Speaker 4>And the nice thing about those particular modes of variability

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<v Speaker 4>is that they're very predictable. And El Nino in some

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<v Speaker 4>ways is actually associated with like, you know, a reprieve

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<v Speaker 4>over some areas. So for example, you've probably noticed the

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<v Speaker 4>Atlantic hurricane season is super chill this year, right? So,

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<v Speaker 4>you know, I guess if I bought cat bonds for

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<v Speaker 4>Atlantic hurricane activity, I would be doing pretty well. And

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<v Speaker 4>I'd be really happy with myself right now. Because yeah,

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<v Speaker 4>that area is like with an El Nino, it tends

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<v Speaker 4>to not form hurricanes as readily and have those hurricanes

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<v Speaker 4>be making landfall. On the other hand, you know, if

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<v Speaker 4>you had a port over on the coast of China,

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<v Speaker 4>you sort of had a harrowing three months because there

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<v Speaker 4>were a fair number of tropical cyclones that hit that region.

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<v Speaker 2>And you hit maybe like even highlight how much rainfall.

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<v Speaker 2>I mean, it's pretty substantial, some of these, the dumps

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<v Speaker 2>that they've seen in China and how that affects ports.

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<v Speaker 2>Can you maybe give a little data on that or

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<v Speaker 2>are you familiar with that?

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<v Speaker 4>Yeah, yeah. So when some of these tropical cyclones hit,

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<v Speaker 4>we get sort of 24-hour rainfall anomalies that are on

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<v Speaker 4>the order of, you know, 10 inches, right? So just

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<v Speaker 4>kind of these deluges that just kind of knock out operations.

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<v Speaker 4>And in addition to that, I mean, if the winds

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<v Speaker 4>are too high, I mean, any port is going to

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<v Speaker 4>shut down as well, right? So a combination of those

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<v Speaker 4>sorts of perils means that, yeah, you're going to have

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<v Speaker 4>disruptions in shipping. So this is like a very clear

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<v Speaker 4>impact of Dal Nino. The cool thing is, is that

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<v Speaker 4>We're probably sort of past that time a little bit.

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<v Speaker 4>So as the season wears on, what tends to happen

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<v Speaker 4>with El Ninos is that, you know, the East Pacific

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<v Speaker 4>is very warm. The West Pacific often forms these kind

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<v Speaker 4>of cooler centers to it. And the circulation really strengthens.

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<v Speaker 4>So what tends to happen is over those warm regions

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<v Speaker 4>in the Pacific, you form these nice tropical cyclones. This

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<v Speaker 4>is one of the reasons why like Hawaii has been

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<v Speaker 4>hit and Hawaii is probably still in the crosshairs for

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<v Speaker 4>the next few months. But, you know, if you're in China,

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<v Speaker 4>often what you'll see is that the cyclones will form

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<v Speaker 4>over the Central Pacific and then they'll kind of arc

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<v Speaker 4>away from China. So, you know, they will be getting

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<v Speaker 4>a reprieve, which is good for them, I think. And

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<v Speaker 4>in some ways, yeah, like one of the stories of

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<v Speaker 4>El Nino is not necessarily tropical cyclones because those actually

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<v Speaker 4>like other than, you know, early in the season where

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<v Speaker 4>we tend to see a lot over China, it tends

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<v Speaker 4>to actually be mellower globally.

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<v Speaker 3>Sure. Unless you live in Hawaii. Yeah.

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<v Speaker 4>Yeah. Do you live in Hawaii, Andrew?

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<v Speaker 3>Are you? I don't. But, you know, I like to visit.

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<v Speaker 3>But I mean, this summer they've had three basically big storms. Right.

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<v Speaker 2>I mean, March was the first one. But then you've

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<v Speaker 2>had two in the last three weeks. The first one

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<v Speaker 2>knocked out 20 percent of the power grid. This one

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<v Speaker 2>knocked out about 12 percent of the power grid. And

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<v Speaker 2>so even if your island is protected, you know, you're

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<v Speaker 2>sharing a lot of electricity around. So you also need

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<v Speaker 2>to be, you know, that affects obviously tourism and just

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<v Speaker 2>a lot of general commerce beyond the property damage, right?

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<v Speaker 2>For some place like Hawaii, which, you know, the property

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<v Speaker 2>damage is probably not the biggest loss when you talk

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<v Speaker 2>about the billions of dollars of tourism that goes through

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<v Speaker 2>that part of.

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<v Speaker 3>The world, right?

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<v Speaker 4>Absolutely. And, you know, speaking of tourism, I think this

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<v Speaker 4>is another area that's quite interesting, right, when it comes

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<v Speaker 4>to the Super El Nino. So, you know, this summer,

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<v Speaker 4>Europe has had quite a summer. Now, I can't necessarily

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<v Speaker 4>say that that's a Super El Nino thing, though this

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<v Speaker 4>did show up in our forecasts. It did show up

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<v Speaker 4>that Europe was going to be quite dry today. That

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<v Speaker 4>they were going to have a dry winter, a dry

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<v Speaker 4>spring being a water deficit. And of course, that sets

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<v Speaker 4>you up for some of these impacts that we saw,

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<v Speaker 4>which is heat and wildfire. So those did show up

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<v Speaker 4>in forecasts. And we're seeing the impacts of that likely

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<v Speaker 4>on tourism. If you think like an idyllic summer in

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<v Speaker 4>Europe trip, I just think that that is not often

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<v Speaker 4>the situation that you should expect anymore. That's not a given. Yeah.

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<v Speaker 3>Yeah, I agree.

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<v Speaker 2>We've done some research on this, on how the vacation

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<v Speaker 2>season is widening in Europe. People are not going in

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<v Speaker 2>August anymore. They're going in November and they're going in March,

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<v Speaker 2>which paradoxically makes it a better investment for like an Airbnb.

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<v Speaker 2>It's strangely enough, you know, if you think about they,

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<v Speaker 2>instead of making a lot of money in one month,

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<v Speaker 2>they make a lot more, you know, a broader amount,

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<v Speaker 2>a longer, have a longer holiday horizon to take that from.

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<v Speaker 3>But But just to echo what you're.

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<v Speaker 2>Saying on the heat, like in France, it was off

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<v Speaker 2>the chart. Like we think of 2003 as being their

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<v Speaker 2>kind of big year for heat. And this year just

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<v Speaker 2>blew it away in terms of days above 90 degrees.

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<v Speaker 2>And my understanding is that, and correct me if I'm wrong,

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<v Speaker 2>is that 2027 is not going to be much better, right?

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<v Speaker 2>Isn't it still for Europe a concern or is that,

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<v Speaker 2>should they get a break next year after what happened

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<v Speaker 2>this year?

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<v Speaker 4>So I, at this point, I haven't looked at the

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<v Speaker 4>temperature forecast. However, I have been keeping an eye on

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<v Speaker 4>the rainfall and it looks like they will be getting

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<v Speaker 4>a decent amount of rainfall. So they might break out

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<v Speaker 4>Or they almost certainly will break out of this drought.

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<v Speaker 4>I mean, right now, the Danube and the Rhine are very,

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<v Speaker 4>very low in terms of water levels. And of course,

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<v Speaker 4>this is like disrupting trade and movement of goods in

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<v Speaker 4>that region, interestingly. And so I think that some of

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<v Speaker 4>those problems will be reduced. I mean, one thing that

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<v Speaker 4>we often see with El Ninos, I mean, this is

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<v Speaker 4>a similar situation with California. I think California right now

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<v Speaker 4>actually has plenty of water, but they're going to get

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<v Speaker 4>even more, right, this coming year. So this is another

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<v Speaker 4>area that's going to see, you know, a lot of

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<v Speaker 4>excess rainfall with this coming El Nino. Or with this

0:12:06.860 --> 0:12:10.620
<v Speaker 4>El Nino as it grows. And so, you know, this

0:12:10.660 --> 0:12:13.770
<v Speaker 4>year they're not going to have water problems. But, you know,

0:12:13.870 --> 0:12:16.089
<v Speaker 4>the question is, OK, so they're going to get a

0:12:16.130 --> 0:12:17.510
<v Speaker 4>lot of rain. There's going to be a lot of

0:12:17.550 --> 0:12:21.980
<v Speaker 4>vegetation growth. And what is that? That's fuel for future fires. Right.

0:12:22.000 --> 0:12:22.220
<v Speaker 3>Sure.

0:12:22.480 --> 0:12:26.020
<v Speaker 4>So, I mean, it's one of those things where we

0:12:26.140 --> 0:12:29.870
<v Speaker 4>often see these cycles happen. The other thing where, you know,

0:12:29.910 --> 0:12:32.209
<v Speaker 4>kind of previous fire years interact with what's going to

0:12:32.230 --> 0:12:34.710
<v Speaker 4>happen this year, which is, you know, a lot of rainfall,

0:12:35.620 --> 0:12:39.220
<v Speaker 4>is that we often see landslides, particularly over regions that

0:12:39.280 --> 0:12:40.000
<v Speaker 4>previously burned.

0:12:40.559 --> 0:12:40.800
<v Speaker 3>Right.

0:12:40.820 --> 0:12:45.740
<v Speaker 4>So burned areas tend to have soils that do not

0:12:46.100 --> 0:12:48.980
<v Speaker 4>hold water very well. And so because of that, you

0:12:49.040 --> 0:12:52.460
<v Speaker 4>just get these situations where the land just starts like

0:12:52.480 --> 0:12:56.330
<v Speaker 4>sloughing off. And so, you know, you'll get flooding, you'll

0:12:56.350 --> 0:13:02.530
<v Speaker 4>get landslides, erosion, everything. And so, yeah, I mean, we're

0:13:02.580 --> 0:13:05.360
<v Speaker 4>just kind of in this cycle, it feels like sometimes of,

0:13:05.500 --> 0:13:09.260
<v Speaker 4>you know, one problematic thing after another.

0:13:09.280 --> 0:13:13.300
<v Speaker 2>Yeah, people like their Goldilocks climate. They don't like this

0:13:13.450 --> 0:13:16.950
<v Speaker 2>too hot and too cold situation, which is what we're

0:13:17.010 --> 0:13:19.010
<v Speaker 2>running at. I just wanted to kind of throw a

0:13:19.030 --> 0:13:21.770
<v Speaker 2>statistic at you, if just, you may already know this,

0:13:21.809 --> 0:13:25.110
<v Speaker 2>but France, this number of day, degree days above 90

0:13:25.110 --> 0:13:29.470
<v Speaker 2>degrees Fahrenheit this summer, the peak in 2003 was 150

0:13:29.470 --> 0:13:32.880
<v Speaker 2>degree days, and we are at now 230 degree days.

0:13:33.480 --> 0:13:37.380
<v Speaker 2>So it is, and the other days, the other years

0:13:37.420 --> 0:13:39.840
<v Speaker 2>look tiny, you know, so the average is somewhere around

0:13:39.840 --> 0:13:41.479
<v Speaker 2>75 or something like that, maybe 70.

0:13:41.460 --> 0:13:42.990
<v Speaker 3>So it's, It's.

0:13:42.929 --> 0:13:45.000
<v Speaker 2>Really on an order of something that we have not

0:13:45.100 --> 0:13:48.099
<v Speaker 2>seen before. I wanted to go back to your comments

0:13:48.140 --> 0:13:49.819
<v Speaker 2>on California because I want to kind of play this

0:13:49.880 --> 0:13:53.120
<v Speaker 2>out for people so they understand the progression of what

0:13:53.160 --> 0:13:56.760
<v Speaker 2>you're talking about with respect to how this, it's almost

0:13:56.860 --> 0:14:00.370
<v Speaker 2>like how a rainy season becomes a wildfire, you know,

0:14:00.400 --> 0:14:01.590
<v Speaker 2>like that kind of thing.

0:14:01.970 --> 0:14:05.570
<v Speaker 3>So let's go to, let's start with where we.

0:14:05.590 --> 0:14:07.770
<v Speaker 2>Are now in terms of the rain. When do you

0:14:07.809 --> 0:14:12.340
<v Speaker 2>think that rain will happen? generate the vegetation that is

0:14:12.500 --> 0:14:16.520
<v Speaker 2>ultimately the fuel, right, for another cycle of, can you

0:14:16.540 --> 0:14:18.319
<v Speaker 2>kind of walk through the timeline of that?

0:14:18.980 --> 0:14:19.480
<v Speaker 3>Absolutely.

0:14:19.600 --> 0:14:23.810
<v Speaker 4>So this is like kind of a several year process,

0:14:23.890 --> 0:14:25.950
<v Speaker 4>though it could be as early as next year. So

0:14:26.010 --> 0:14:28.970
<v Speaker 4>here's the situation. Right now, California has plenty of water

0:14:30.410 --> 0:14:33.950
<v Speaker 4>and they're about to get a ton more over, you know,

0:14:34.330 --> 0:14:38.550
<v Speaker 4>the next three to five months. So in terms of

0:14:38.610 --> 0:14:43.920
<v Speaker 4>that excess rainfall, you know, California has an interesting sort

0:14:43.940 --> 0:14:47.480
<v Speaker 4>of set of ecosystems. When you get a lot of rainfall, yeah,

0:14:47.520 --> 0:14:49.890
<v Speaker 4>the trees are happy, but what tends to grow a

0:14:49.930 --> 0:14:53.240
<v Speaker 4>lot is just shrubs. You know, a lot of just,

0:14:53.320 --> 0:14:57.400
<v Speaker 4>you know, excess low-lying vegetation. Well, those shrubs don't necessarily

0:14:57.440 --> 0:15:00.400
<v Speaker 4>have super deep roots. And so as soon as conditions

0:15:00.450 --> 0:15:03.630
<v Speaker 4>get dry again, they will die. And they will die,

0:15:03.690 --> 0:15:06.370
<v Speaker 4>they will dry out, and that is then the fuel

0:15:06.410 --> 0:15:10.050
<v Speaker 4>for the next fire. When does this happen? Well, the

0:15:10.090 --> 0:15:12.960
<v Speaker 4>dry season in California tends to be from, say, like,

0:15:13.170 --> 0:15:18.320
<v Speaker 4>you know, March, April, all the way to, you know,

0:15:18.700 --> 0:15:19.500
<v Speaker 4>November or December.

0:15:19.520 --> 0:15:19.600
<v Speaker 3>Okay.

0:15:19.930 --> 0:15:23.150
<v Speaker 4>So it's a long dry season. So depending on how

0:15:23.230 --> 0:15:27.390
<v Speaker 4>next year's dry season is, how long it is, how

0:15:27.450 --> 0:15:29.410
<v Speaker 4>dry it is, and a lot of that how dry

0:15:29.430 --> 0:15:31.430
<v Speaker 4>it is depends on how hot it is, right? So

0:15:32.030 --> 0:15:35.380
<v Speaker 4>if there's a lot of vegetation, but, you know, temperatures

0:15:35.440 --> 0:15:37.760
<v Speaker 4>are cool, then that vegetation takes a lot longer to

0:15:37.800 --> 0:15:40.600
<v Speaker 4>dry out. Whereas if it's hot, it will dry out

0:15:40.840 --> 0:15:43.860
<v Speaker 4>so fast and you will just make tinder. And so

0:15:44.000 --> 0:15:48.120
<v Speaker 4>by essentially the end of the year, you know, if

0:15:48.340 --> 0:15:52.080
<v Speaker 4>it starts raining in October, great. Maybe they can avoid

0:15:52.160 --> 0:15:55.420
<v Speaker 4>some of sort of the major fire catastrophes next year.

0:15:55.840 --> 0:15:58.450
<v Speaker 4>But if not, you know, if it takes until December

0:15:58.490 --> 0:16:01.330
<v Speaker 4>or even January 2028, then that's when we're going to

0:16:01.350 --> 0:16:04.250
<v Speaker 4>see some really high risks. So if we have a

0:16:04.330 --> 0:16:09.170
<v Speaker 4>hot and dry year, you know, dry season this coming year,

0:16:09.950 --> 0:16:12.930
<v Speaker 4>whatever vegetation forms right now is going to end up,

0:16:13.320 --> 0:16:15.360
<v Speaker 4>you know, really being a hazard for them.

0:16:15.960 --> 0:16:16.310
<v Speaker 3>I got you.

0:16:16.320 --> 0:16:18.420
<v Speaker 2>And can you just highlight like a year where we had,

0:16:18.440 --> 0:16:21.979
<v Speaker 2>you know, a horrendous wildfire year that played out like this?

0:16:22.320 --> 0:16:24.460
<v Speaker 2>Is there a year in the past that you can

0:16:24.540 --> 0:16:26.360
<v Speaker 2>think of that would be representative?

0:16:26.860 --> 0:16:31.590
<v Speaker 4>So L.A., the L.A. fires. So those fires were in,

0:16:31.710 --> 0:16:36.980
<v Speaker 4>I believe it was This was last year, 2025.

0:16:36.980 --> 0:16:38.340
<v Speaker 3>Yeah, January 25th.

0:16:39.000 --> 0:16:41.739
<v Speaker 4>And so, okay, so this is actually, this kind of

0:16:42.000 --> 0:16:44.840
<v Speaker 4>goes a little bit with the El Nino narrative, though

0:16:45.180 --> 0:16:47.640
<v Speaker 4>it's interesting. So there was a 23-24 super El Nino.

0:16:47.660 --> 0:16:53.330
<v Speaker 4>The impacts of that over California were not huge, interestingly.

0:16:54.170 --> 0:16:58.470
<v Speaker 4>But they did get a ton of rainfall in early 2024.

0:16:58.450 --> 0:17:05.840
<v Speaker 4>So there was a ton of vegetation. And then, you know,

0:17:06.119 --> 0:17:10.440
<v Speaker 4>after that excess rainfall in early 2024, then there was

0:17:10.460 --> 0:17:13.449
<v Speaker 4>sort of, you know, a lot of vegetation that grew

0:17:13.470 --> 0:17:16.790
<v Speaker 4>and then that vegetation dried out. Now, if you were

0:17:16.850 --> 0:17:20.669
<v Speaker 4>looking at seasonal forecasts and thinking about what it was

0:17:20.710 --> 0:17:24.670
<v Speaker 4>going to finally start raining in 2024, you could even

0:17:24.770 --> 0:17:27.300
<v Speaker 4>see like quite early in the season that it was

0:17:27.340 --> 0:17:30.340
<v Speaker 4>just looking dry, dry, dry. When is it going to start?

0:17:30.380 --> 0:17:33.450
<v Speaker 4>When is it going to start? And so, yeah, even like,

0:17:33.490 --> 0:17:36.550
<v Speaker 4>you know, it was very clear October, November and December

0:17:36.590 --> 0:17:39.230
<v Speaker 4>were going to be like drier than usual months. Now,

0:17:39.300 --> 0:17:41.780
<v Speaker 4>here's the thing with California, you know, you can always

0:17:41.800 --> 0:17:43.960
<v Speaker 4>get lucky and you can get some big weather system

0:17:44.000 --> 0:17:46.880
<v Speaker 4>that moves in. So even if the fundamentals are like

0:17:46.920 --> 0:17:49.800
<v Speaker 4>dry conditions, you can still sometimes see, you know, oh, yeah,

0:17:49.840 --> 0:17:53.100
<v Speaker 4>the system broken. And now, you know, we're we're. in

0:17:53.119 --> 0:17:57.580
<v Speaker 4>a good position. In this case, that didn't happen. And so, yeah,

0:17:57.640 --> 0:18:01.100
<v Speaker 4>by the time we got to January, things were, you know,

0:18:01.340 --> 0:18:06.700
<v Speaker 4>so dry that then there was a Santa Ana wind event.

0:18:07.020 --> 0:18:09.780
<v Speaker 4>And that often tends to be the instigating event for

0:18:10.619 --> 0:18:14.369
<v Speaker 4>fire weather in that region. And so, yeah, the conditions

0:18:14.400 --> 0:18:16.609
<v Speaker 4>were sort of perfect. We had this period early in

0:18:16.630 --> 0:18:18.350
<v Speaker 4>the year where there was a lot of rain, a

0:18:18.390 --> 0:18:21.250
<v Speaker 4>lot of vegetation grew, and then a long dry period

0:18:21.290 --> 0:18:25.170
<v Speaker 4>where that vegetation dried out. And, you know, no early

0:18:25.250 --> 0:18:29.430
<v Speaker 4>reprieve from that dryness with, you know, the wet season starting.

0:18:29.630 --> 0:18:32.190
<v Speaker 4>And so by January, we were just in this very

0:18:32.230 --> 0:18:35.030
<v Speaker 4>kind of danger zone. And the interesting thing about that

0:18:35.210 --> 0:18:39.070
<v Speaker 4>is that Santa Anas, they tend to be strongest in

0:18:39.109 --> 0:18:40.130
<v Speaker 4>December and January.

0:18:40.550 --> 0:18:42.010
<v Speaker 3>Okay.

0:18:42.030 --> 0:18:44.190
<v Speaker 4>So essentially, like, I mean.

0:18:44.230 --> 0:18:47.530
<v Speaker 2>You're saying it's the pump is primed if... You don't

0:18:47.570 --> 0:18:50.770
<v Speaker 2>get the rainfall by November. You're in the lights flashing

0:18:50.810 --> 0:18:51.970
<v Speaker 2>at least orange.

0:18:52.150 --> 0:18:55.929
<v Speaker 4>Yeah. Like for that, for the state of California, I mean,

0:18:55.970 --> 0:18:59.340
<v Speaker 4>this is one of those things where like it's probably

0:18:59.359 --> 0:19:02.340
<v Speaker 4>a good idea to expect a lot of fire weather

0:19:02.940 --> 0:19:04.720
<v Speaker 4>in December and January.

0:19:04.740 --> 0:19:04.840
<v Speaker 3>Right.

0:19:05.630 --> 0:19:08.920
<v Speaker 4>And to really be on the lookout for like, okay,

0:19:08.940 --> 0:19:11.439
<v Speaker 4>am I going to get these wins? And do I

0:19:11.480 --> 0:19:14.240
<v Speaker 4>have a lot of fuel lying around? I mean, if

0:19:14.280 --> 0:19:17.700
<v Speaker 4>those two things are satisfied, then like, yeah, it really

0:19:17.740 --> 0:19:20.840
<v Speaker 4>should be like everybody is on call and prepared for this.

0:19:20.980 --> 0:19:21.260
<v Speaker 3>Sure.

0:19:21.420 --> 0:19:24.020
<v Speaker 2>I mean, obviously the utilities are on the hook these

0:19:24.060 --> 0:19:27.460
<v Speaker 2>days for that repair. So they need to be as

0:19:28.060 --> 0:19:30.440
<v Speaker 2>on high alert as possible. It's still a pretty frustrating

0:19:31.530 --> 0:19:33.240
<v Speaker 2>thing for them to have to do. There's like tens

0:19:33.290 --> 0:19:38.619
<v Speaker 2>of thousands of miles of grid that they have to prune.

0:19:38.680 --> 0:19:40.830
<v Speaker 2>So it's not the easiest task in the world to

0:19:40.869 --> 0:19:43.230
<v Speaker 2>get that done. I want to do one more thing

0:19:43.290 --> 0:19:46.250
<v Speaker 2>on California because it is just getting battered right now

0:19:46.450 --> 0:19:49.250
<v Speaker 2>on the coast, which is very new.

0:19:49.630 --> 0:19:49.810
<v Speaker 3>Right?

0:19:49.850 --> 0:19:52.409
<v Speaker 2>The amount of flood insurance in California, I think it's 1.3%

0:19:52.410 --> 0:19:56.209
<v Speaker 2>or something like that. If homes have flood insurance, it's

0:19:56.270 --> 0:20:01.060
<v Speaker 2>not something that they really budget for. And clearly that's

0:20:01.080 --> 0:20:04.430
<v Speaker 2>happening presumably because of El Nino that we're getting these

0:20:04.990 --> 0:20:09.520
<v Speaker 2>specific events. Can you maybe highlight how that is I mean,

0:20:09.540 --> 0:20:11.440
<v Speaker 2>this is this is sort of new territory for a

0:20:11.480 --> 0:20:14.200
<v Speaker 2>lot of those communities. They've never seen that this kind of,

0:20:14.210 --> 0:20:18.030
<v Speaker 2>you know, storms are effectively storm surge right on the

0:20:18.230 --> 0:20:19.190
<v Speaker 2>on the Pacific coast.

0:20:19.470 --> 0:20:23.350
<v Speaker 4>Yeah. So this is a really interesting year where we

0:20:23.390 --> 0:20:26.940
<v Speaker 4>have this big El Nino and we sort of have

0:20:27.000 --> 0:20:30.460
<v Speaker 4>this like kind of very warm water all down the

0:20:30.500 --> 0:20:34.410
<v Speaker 4>coast of California and, you know, even extending up here. So,

0:20:34.510 --> 0:20:38.450
<v Speaker 4>for example, here I'm in Seattle, Washington. We usually have like,

0:20:38.490 --> 0:20:41.930
<v Speaker 4>you know, very kind of like the air is very dry.

0:20:42.030 --> 0:20:44.910
<v Speaker 4>Our relative humidity is very low. It just feels like

0:20:45.190 --> 0:20:47.290
<v Speaker 4>when it's 70 degrees or 80 degrees here, it just

0:20:47.310 --> 0:20:51.409
<v Speaker 4>feels very like fresh because the humidity is low. Well,

0:20:51.490 --> 0:20:53.699
<v Speaker 4>guess what? We've had kind of a muggy year. And

0:20:53.760 --> 0:20:56.840
<v Speaker 4>that is literally because we have this sort of marine

0:20:56.880 --> 0:21:00.810
<v Speaker 4>heat wave. sitting off of our coast right now. And

0:21:00.850 --> 0:21:03.990
<v Speaker 4>that extends all the way to California. Now, this kind

0:21:04.010 --> 0:21:07.170
<v Speaker 4>of marine heat wave region, it's a region where, you know,

0:21:07.190 --> 0:21:10.990
<v Speaker 4>the ocean temperatures are high. So guess what? Tropical cyclones

0:21:11.040 --> 0:21:17.639
<v Speaker 4>can form there. And that then puts California, you know,

0:21:17.680 --> 0:21:22.919
<v Speaker 4>Baja California, the west coast of Mexico, all in the

0:21:22.940 --> 0:21:24.160
<v Speaker 4>crosshairs this year.

0:21:24.180 --> 0:21:26.970
<v Speaker 3>Nicholas Cage's house. These are all, I don't know if

0:21:26.990 --> 0:21:30.359
<v Speaker 3>you saw that. There's a sinkhole formed in front of

0:21:30.400 --> 0:21:31.240
<v Speaker 3>his property.

0:21:31.320 --> 0:21:34.260
<v Speaker 4>Yeah, don't ask me about sinkholes. I know nothing about sinkholes.

0:21:34.300 --> 0:21:36.520
<v Speaker 4>I mean, is that, do you know if that's related

0:21:36.619 --> 0:21:39.220
<v Speaker 4>to sort of a lot of the excess rainfall? Is

0:21:39.240 --> 0:21:40.260
<v Speaker 4>that what they're saying right now?

0:21:40.280 --> 0:21:41.860
<v Speaker 3>No, I don't know. I don't know.

0:21:41.920 --> 0:21:44.399
<v Speaker 2>I'm just saying that that's the headline of the paper is,

0:21:44.440 --> 0:21:47.240
<v Speaker 2>you know, sinkhole emerges in front of Nicolas Cage's house.

0:21:48.190 --> 0:21:50.310
<v Speaker 2>And I don't know if you've seen a picture of it.

0:21:50.420 --> 0:21:52.560
<v Speaker 2>It is right in front of his house. There's no

0:21:52.619 --> 0:21:57.240
<v Speaker 2>driving around that sucker. You need a bridge to land there.

0:21:57.340 --> 0:22:01.050
<v Speaker 2>But anyway, but I just want to, yeah, that and

0:22:01.090 --> 0:22:03.890
<v Speaker 2>the idea of mugginess, as you say, in L.A.

0:22:03.950 --> 0:22:05.110
<v Speaker 3>Is sort of unheard of, right?

0:22:05.270 --> 0:22:07.610
<v Speaker 2>I mean, they don't, no one whines about, we whine

0:22:07.630 --> 0:22:10.889
<v Speaker 2>about that here in D.C. Nobody complains about that. on

0:22:10.910 --> 0:22:13.949
<v Speaker 2>a consistent basis in California that you're used to, as

0:22:13.970 --> 0:22:18.170
<v Speaker 2>you say, kind of more low humidity environments. I wanted

0:22:18.210 --> 0:22:21.330
<v Speaker 2>to ask you really about some of your work with

0:22:21.930 --> 0:22:26.820
<v Speaker 2>understanding how you understand these historical events. And obviously you're

0:22:26.980 --> 0:22:29.380
<v Speaker 2>pulling from history in many ways to figure out what's

0:22:29.420 --> 0:22:32.340
<v Speaker 2>gonna happen in the next year. When some of them

0:22:32.619 --> 0:22:36.619
<v Speaker 2>are like older and the built universe is totally different.

0:22:37.180 --> 0:22:40.170
<v Speaker 2>So if you think about like the Panama Canal, in

0:22:40.170 --> 0:22:44.090
<v Speaker 2>2015 even, it's a different Panama Canal, right? So it's like,

0:22:44.109 --> 0:22:48.650
<v Speaker 2>you know, their ability to kind of navigate and prepare

0:22:48.770 --> 0:22:51.399
<v Speaker 2>for these events in the context of the fact that, oh,

0:22:51.410 --> 0:22:54.270
<v Speaker 2>we've had these bad things happen, even though 2023, 2024

0:22:54.270 --> 0:23:00.550
<v Speaker 2>was a pretty exceptionally bad situation. They've been planning for

0:23:00.730 --> 0:23:02.730
<v Speaker 2>trying to fix it for 10 or 15 years, right?

0:23:02.760 --> 0:23:05.679
<v Speaker 2>So it's not like they're unaware of it. I'm just

0:23:05.720 --> 0:23:09.540
<v Speaker 2>curious how, when you look at these if you're looking

0:23:09.560 --> 0:23:13.310
<v Speaker 2>at a one-year forecast, the world sometimes is different than

0:23:13.390 --> 0:23:14.250
<v Speaker 2>in those days.

0:23:14.670 --> 0:23:16.110
<v Speaker 3>How do you kind of think about that?

0:23:16.510 --> 0:23:19.550
<v Speaker 4>Yeah. So there's a couple of parts to this question, right?

0:23:19.630 --> 0:23:23.580
<v Speaker 4>So there's the weather, right? So that's like the physical system.

0:23:23.960 --> 0:23:28.180
<v Speaker 4>So that is a sort of a different modeling effort than,

0:23:28.320 --> 0:23:32.679
<v Speaker 4>you know, how do those, you know, anomalies in the

0:23:32.740 --> 0:23:35.760
<v Speaker 4>weather then project onto the real world? on something like

0:23:35.880 --> 0:23:38.820
<v Speaker 4>the Panama Canal, right? So speaking of the first thing,

0:23:39.800 --> 0:23:43.510
<v Speaker 4>what we use are physics-based models that are enhanced with

0:23:43.609 --> 0:23:46.689
<v Speaker 4>AI methods. So what that means is that we use

0:23:46.730 --> 0:23:51.340
<v Speaker 4>fundamental physics, we model essentially Not only the atmosphere, which

0:23:51.400 --> 0:23:53.520
<v Speaker 4>is what you would do for, say, a three-day or

0:23:53.540 --> 0:23:57.359
<v Speaker 4>a seven-day weather forecast, but also the ocean, the land.

0:23:57.460 --> 0:23:59.700
<v Speaker 4>Those are the parts of the system that actually give

0:23:59.760 --> 0:24:03.280
<v Speaker 4>us longer-term predictability. These are actually the same models that

0:24:03.300 --> 0:24:06.520
<v Speaker 4>we use for climate science studies. So these are models

0:24:06.560 --> 0:24:09.179
<v Speaker 4>that literally, like, I can look, you know, a thousand

0:24:09.200 --> 0:24:11.690
<v Speaker 4>years into the future. I can look at the Cretaceous.

0:24:11.750 --> 0:24:16.620
<v Speaker 4>I can look at snowball Earth, right? They're very flexible models. And,

0:24:16.680 --> 0:24:20.220
<v Speaker 4>you know, yeah, you can adjust a lot of, you know,

0:24:20.420 --> 0:24:23.920
<v Speaker 4>physical things within those models, like say how much CO2

0:24:24.040 --> 0:24:26.440
<v Speaker 4>is in the atmosphere. And you can, you know, generate

0:24:26.560 --> 0:24:29.220
<v Speaker 4>like the climate of today or, you know, the climate

0:24:29.240 --> 0:24:32.109
<v Speaker 4>of what we think 2100 will look like given a

0:24:32.119 --> 0:24:35.610
<v Speaker 4>certain emission scenario. So these are, you know, like with

0:24:35.650 --> 0:24:38.709
<v Speaker 4>these physics-based models, right, like we are, we can be

0:24:38.890 --> 0:24:42.929
<v Speaker 4>quite confident that they are able to take into account

0:24:42.970 --> 0:24:45.640
<v Speaker 4>the fact that we're living in a very different world

0:24:45.700 --> 0:24:48.200
<v Speaker 4>right now, right? Land use has changed. The amount of

0:24:48.440 --> 0:24:52.399
<v Speaker 4>CO2 in the atmosphere has changed. You know, industrial activity

0:24:52.520 --> 0:24:55.460
<v Speaker 4>leads to the emissions of these little particles called aerosols,

0:24:55.500 --> 0:25:00.240
<v Speaker 4>which changes, change clouds, change, you know, radiation, ocean temperatures,

0:25:00.300 --> 0:25:02.880
<v Speaker 4>all of that. The models have all of these things

0:25:03.040 --> 0:25:06.760
<v Speaker 4>in them. So that's good. But absolutely, like, you know,

0:25:06.780 --> 0:25:10.500
<v Speaker 4>the Panama Canal is different. However, one thing that's interesting

0:25:10.600 --> 0:25:13.159
<v Speaker 4>is that for that canal, Where do they get their water?

0:25:13.240 --> 0:25:16.610
<v Speaker 4>It's not saltwater. Obviously, you know, the lake. Yeah, it's

0:25:16.660 --> 0:25:17.139
<v Speaker 4>a lake.

0:25:17.310 --> 0:25:17.930
<v Speaker 3>Yeah, yeah, yeah.

0:25:17.950 --> 0:25:20.130
<v Speaker 4>I had this brilliant idea of putting a lake.

0:25:20.430 --> 0:25:21.150
<v Speaker 3>Yeah.

0:25:21.170 --> 0:25:22.010
<v Speaker 4>Lake water in there.

0:25:22.050 --> 0:25:23.930
<v Speaker 3>Right. Because I had it a hundred years ago.

0:25:24.010 --> 0:25:28.150
<v Speaker 2>That's what they that's what they had the idea.

0:25:28.270 --> 0:25:32.030
<v Speaker 4>So maybe like do you know about like are they

0:25:32.050 --> 0:25:33.430
<v Speaker 4>making plans to change this?

0:25:34.200 --> 0:25:36.090
<v Speaker 2>No, they're really just trying to regulate it is really

0:25:36.109 --> 0:25:39.170
<v Speaker 2>what it comes down to. I mean, they're just saying, okay,

0:25:39.369 --> 0:25:41.630
<v Speaker 2>we know this can be an issue going forward. So

0:25:41.650 --> 0:25:45.570
<v Speaker 2>what they're doing is really, even now, they're holding back

0:25:45.670 --> 0:25:47.669
<v Speaker 2>on the number of ships that it can go through

0:25:47.690 --> 0:25:50.580
<v Speaker 2>at a certain kind of, whatever you call it, height

0:25:50.859 --> 0:25:53.760
<v Speaker 2>or whatever the right, you know, floating height in order

0:25:54.020 --> 0:25:56.960
<v Speaker 2>to prepare and conserve water so that, you know, if

0:25:56.980 --> 0:26:00.440
<v Speaker 2>there's an emergency going forward, they can address it. And

0:26:00.480 --> 0:26:03.590
<v Speaker 2>then in the next three to five years, they've really

0:26:03.790 --> 0:26:07.170
<v Speaker 2>tried to make sure that they did a much better job.

0:26:07.190 --> 0:26:08.780
<v Speaker 2>So right now it's kind of like, I can't remember

0:26:08.800 --> 0:26:11.660
<v Speaker 2>what they're actually, but they're investing, I think it's $ 15

0:26:11.220 --> 0:26:15.790
<v Speaker 2>billion to kind of make sure that what happened in 2023,

0:26:15.790 --> 0:26:18.659
<v Speaker 2>2024 is not going to happen again. Like they'll be

0:26:18.680 --> 0:26:22.040
<v Speaker 2>able to regulate the water flows better. And I don't

0:26:22.060 --> 0:26:25.040
<v Speaker 2>know the specifics of it, unfortunately, to be able to

0:26:25.619 --> 0:26:27.440
<v Speaker 2>share it with you, but that's, they are kind of

0:26:27.560 --> 0:26:31.570
<v Speaker 2>halfway through the investment cycle of making sure that they

0:26:31.609 --> 0:26:35.630
<v Speaker 2>have different height canal zones that they won't, it won't

0:26:35.960 --> 0:26:39.560
<v Speaker 2>stop up the entire canal if one kind of ship

0:26:39.640 --> 0:26:40.280
<v Speaker 2>can't get through.

0:26:40.540 --> 0:26:40.840
<v Speaker 4>Okay.

0:26:40.980 --> 0:26:43.600
<v Speaker 3>That's sort of the, that's what my understanding is.

0:26:43.640 --> 0:26:47.369
<v Speaker 4>So, you know, the fact that they have had issues

0:26:47.410 --> 0:26:49.730
<v Speaker 4>with this, you know, just in the very recent past

0:26:49.750 --> 0:26:53.100
<v Speaker 4>with the last Super El Nino, I mean, this is, that's,

0:26:53.359 --> 0:26:57.440
<v Speaker 4>that's an important detail, right? Because essentially, okay, so here's

0:26:57.480 --> 0:27:00.040
<v Speaker 4>a few things. First of all, whenever there's these strong

0:27:00.100 --> 0:27:04.600
<v Speaker 4>El Nino events, it does not rain in Panama. Their

0:27:04.660 --> 0:27:09.419
<v Speaker 4>rainy season becomes very, you know, anomalously dry. Sometimes they'll,

0:27:09.500 --> 0:27:11.880
<v Speaker 4>you know, be at like even a 50% water deficit

0:27:11.920 --> 0:27:16.879
<v Speaker 4>or more because of this event. And so, yeah, like I,

0:27:19.380 --> 0:27:22.919
<v Speaker 4>We can talk later about whether climate change leads to

0:27:23.010 --> 0:27:25.970
<v Speaker 4>more El Nino events or stronger El Nino events. Some

0:27:26.010 --> 0:27:28.409
<v Speaker 4>of that is still, you know, in research, but I

0:27:28.430 --> 0:27:30.190
<v Speaker 4>think there are a few things we can say about that.

0:27:30.550 --> 0:27:34.160
<v Speaker 4>But regardless of that, with climate change, Panama is drier.

0:27:34.580 --> 0:27:36.980
<v Speaker 4>Central America is drier. Like this is just something that

0:27:37.000 --> 0:27:39.500
<v Speaker 4>you have to adapt to. You know, there's going to

0:27:39.520 --> 0:27:41.440
<v Speaker 4>be more and more years like this, you know, where

0:27:41.460 --> 0:27:43.460
<v Speaker 4>they're going to be running out of water deficit. So

0:27:44.560 --> 0:27:47.379
<v Speaker 4>once again, you know, maybe they designed this canal at

0:27:47.420 --> 0:27:51.440
<v Speaker 4>a time where it just seemed like water was, you know, limitless,

0:27:52.020 --> 0:27:52.920
<v Speaker 4>but it's not.

0:27:54.060 --> 0:27:56.140
<v Speaker 2>And so I mean, they got lucky this year because

0:27:56.160 --> 0:27:58.139
<v Speaker 2>they got a ton of rain in February and March,

0:27:58.340 --> 0:28:00.940
<v Speaker 2>and that's going to last them through this cycle.

0:28:01.510 --> 0:28:01.619
<v Speaker 3>But.

0:28:02.119 --> 0:28:04.960
<v Speaker 2>But luck is not the best planning, you know, like getting,

0:28:05.140 --> 0:28:08.920
<v Speaker 2>getting away with it is not the greatest. You don't

0:28:09.060 --> 0:28:10.580
<v Speaker 2>get away with it over the longer term.

0:28:10.619 --> 0:28:10.939
<v Speaker 3>Right.

0:28:11.380 --> 0:28:13.879
<v Speaker 2>And I mean, adding to what you're saying, the, the need,

0:28:14.280 --> 0:28:16.159
<v Speaker 2>you know, like we're trying to, every economy in the

0:28:16.180 --> 0:28:18.700
<v Speaker 2>world is trying to grow. So when you add that

0:28:19.000 --> 0:28:21.290
<v Speaker 2>as a factor as well, because that's, you know, if

0:28:21.310 --> 0:28:24.469
<v Speaker 2>you're talking about the impact that we're having on the planet, it's,

0:28:26.030 --> 0:28:29.530
<v Speaker 2>capitalist economies try to grow, growing means there's going to be,

0:28:29.830 --> 0:28:31.619
<v Speaker 2>we're going to be using more stuff, you know, like

0:28:31.650 --> 0:28:32.280
<v Speaker 2>it's just the way.

0:28:32.220 --> 0:28:32.800
<v Speaker 3>It is, right?

0:28:33.119 --> 0:28:35.980
<v Speaker 4>I mean, you have to move goods, right? I mean, like,

0:28:36.060 --> 0:28:38.420
<v Speaker 4>how else are you going to get, you know, components

0:28:38.460 --> 0:28:43.160
<v Speaker 4>of semiconductor chips from mines in Brazil to, you know, Taiwan?

0:28:43.480 --> 0:28:45.200
<v Speaker 4>Like there's no way that you can do it without

0:28:45.240 --> 0:28:47.120
<v Speaker 4>the Panama Canal. I mean, who wants to go through

0:28:47.160 --> 0:28:49.400
<v Speaker 4>like the Drake Passage, right? That doesn't sound.

0:28:49.420 --> 0:28:50.270
<v Speaker 3>Yeah, absolutely.

0:28:50.420 --> 0:28:52.670
<v Speaker 2>And the interesting thing about this year, as opposed to

0:28:52.730 --> 0:28:55.250
<v Speaker 2>the last El Nino, is when it happened. So like

0:28:55.290 --> 0:28:57.790
<v Speaker 2>the idea was if you ended up with a water

0:28:57.810 --> 0:29:01.300
<v Speaker 2>deficit in the summer, which is where this was like

0:29:01.320 --> 0:29:01.950
<v Speaker 2>early summer.

0:29:01.990 --> 0:29:03.260
<v Speaker 3>That's a different ship.

0:29:03.480 --> 0:29:05.600
<v Speaker 2>Different things are shipped in the summertime than your ship

0:29:05.780 --> 0:29:06.640
<v Speaker 2>towards Christmas time.

0:29:06.740 --> 0:29:07.680
<v Speaker 4>Interesting. Right.

0:29:07.740 --> 0:29:10.280
<v Speaker 2>So, so it had a very, it had a very

0:29:10.360 --> 0:29:15.360
<v Speaker 2>strange potential impact on agricultural commodities because those big kind

0:29:15.400 --> 0:29:19.000
<v Speaker 2>of bulk container ships are what you, you, that's usually

0:29:19.040 --> 0:29:20.800
<v Speaker 2>for like food and things like that. You know, like

0:29:20.840 --> 0:29:22.940
<v Speaker 2>the higher end stuff also is on a ship, but

0:29:22.960 --> 0:29:25.800
<v Speaker 2>they're not on these kind of low ones that are,

0:29:26.100 --> 0:29:29.800
<v Speaker 2>that require water. what's the, I can't remember what the

0:29:29.840 --> 0:29:31.480
<v Speaker 2>word is, but, you know, kind of need to float

0:29:31.480 --> 0:29:32.170
<v Speaker 2>at a higher level.

0:29:32.170 --> 0:29:34.060
<v Speaker 4>Yeah, I think they call it draft, right? The draft

0:29:34.060 --> 0:29:34.850
<v Speaker 4>level or something.

0:29:34.850 --> 0:29:37.330
<v Speaker 3>Yeah, that's right, draft. Yeah, exact draft levels. That's exactly right.

0:29:37.750 --> 0:29:38.650
<v Speaker 3>This thing isn't over.

0:29:38.890 --> 0:29:42.010
<v Speaker 2>I mean, as you mentioned earlier, we've had that Hawaii

0:29:42.070 --> 0:29:45.150
<v Speaker 2>is still in the crosshairs of this thing going forward that,

0:29:45.430 --> 0:29:49.070
<v Speaker 2>you know, from in terms of potentially getting hit even again,

0:29:49.130 --> 0:29:51.650
<v Speaker 2>even though we've seen a few already happen this year.

0:29:51.670 --> 0:29:54.979
<v Speaker 2>Can you highlight maybe some other areas where you are

0:29:55.120 --> 0:29:58.800
<v Speaker 2>concerned going forward into the next, again, we're You kind

0:29:58.820 --> 0:30:00.360
<v Speaker 2>of have free reign here for the next six months

0:30:00.880 --> 0:30:03.180
<v Speaker 2>in terms of what you think could happen because it's,

0:30:04.060 --> 0:30:05.580
<v Speaker 2>you just pick a few.

0:30:05.620 --> 0:30:06.560
<v Speaker 3>You don't need to go crazy.

0:30:06.600 --> 0:30:09.820
<v Speaker 2>But if you could, if there's anything you would caution

0:30:09.840 --> 0:30:13.810
<v Speaker 2>people to spend a little more time researching, given your analysis?

0:30:13.870 --> 0:30:18.210
<v Speaker 4>Yeah, absolutely. So currently what we've already seen is that

0:30:18.350 --> 0:30:21.910
<v Speaker 4>the South Asian monsoon was quite weak this year, as expected.

0:30:22.010 --> 0:30:25.510
<v Speaker 4>That showed up in our forecast even in January. The

0:30:25.630 --> 0:30:28.890
<v Speaker 4>other thing that we're seeing right now is areas that

0:30:28.930 --> 0:30:34.520
<v Speaker 4>are usually not burning are burning. So this is particularly, interestingly, Indonesia.

0:30:35.300 --> 0:30:38.720
<v Speaker 4>When you think of Indonesia, you just think, you know, lush, tropical,

0:30:38.740 --> 0:30:42.520
<v Speaker 4>you know, paradise with plenty of rain, but it's on

0:30:42.560 --> 0:30:43.280
<v Speaker 4>fire right now.

0:30:43.820 --> 0:30:47.260
<v Speaker 2>I mean, 98, it was on fire when I lived

0:30:47.320 --> 0:30:50.790
<v Speaker 2>out there in Indonesia, but Asia in 98.

0:30:50.790 --> 0:30:51.510
<v Speaker 3>It was on fire.

0:30:51.830 --> 0:30:53.810
<v Speaker 2>Like, you know, that that was the whole you could

0:30:53.830 --> 0:30:56.970
<v Speaker 2>the smoke from those fires in Indonesia almost made it

0:30:56.990 --> 0:31:02.540
<v Speaker 2>to Japan. Like, you know, they they were scary, I

0:31:02.580 --> 0:31:04.140
<v Speaker 2>think is the right word for it. And we're heading

0:31:04.160 --> 0:31:05.500
<v Speaker 2>into that same cycle, are we not?

0:31:05.620 --> 0:31:11.280
<v Speaker 4>Yeah, absolutely. Absolutely. Right now, there is already haze in Malaysia,

0:31:11.420 --> 0:31:16.660
<v Speaker 4>the Philippines, Singapore. So, yeah, I mean, that's from those fires.

0:31:16.720 --> 0:31:22.440
<v Speaker 4>So unusual fires. But there we go. So going forward,

0:31:22.960 --> 0:31:25.160
<v Speaker 4>areas to keep in mind, first of all, in terms

0:31:25.220 --> 0:31:29.330
<v Speaker 4>of fires, Brazil. Yeah. So like the Amazon is going

0:31:29.350 --> 0:31:32.090
<v Speaker 4>to be on fire this year. Like, unfortunately.

0:31:32.110 --> 0:31:34.370
<v Speaker 2>It is or is on the verge of becoming so?

0:31:34.410 --> 0:31:37.470
<v Speaker 4>Well, they're about to get into their wet season. They

0:31:37.530 --> 0:31:40.630
<v Speaker 4>are already in a drought. It is going to be,

0:31:40.830 --> 0:31:46.850
<v Speaker 4>you know, a very weak wet season. So, yeah, they're

0:31:46.890 --> 0:31:49.870
<v Speaker 4>going to very much be, like, especially in early 2027,

0:31:49.870 --> 0:31:54.070
<v Speaker 4>we're going to see some fire activity there for sure.

0:31:54.830 --> 0:31:57.680
<v Speaker 4>The other thing that we really see there already is

0:31:57.740 --> 0:32:00.860
<v Speaker 4>just the fact that river levels are really low. So

0:32:01.060 --> 0:32:06.740
<v Speaker 4>speaking of, like, maritime transport and, you know, weather forecasting and,

0:32:06.860 --> 0:32:09.750
<v Speaker 4>you know, sort of thinking about, like, okay, what industries

0:32:09.810 --> 0:32:13.070
<v Speaker 4>are affected by the fact that, like, you know, this particular–

0:32:13.550 --> 0:32:17.430
<v Speaker 4>You know, maritime transport channel is not, you know, functioning properly.

0:32:17.490 --> 0:32:21.450
<v Speaker 4>Say rivers in the Amazon that move, you know, agricultural

0:32:21.490 --> 0:32:25.680
<v Speaker 4>produce and or around, right, to other parts of the

0:32:25.700 --> 0:32:29.120
<v Speaker 4>world that use it. Well, we are actually working with

0:32:29.160 --> 0:32:31.940
<v Speaker 4>a really cool supply chain company on this. And so

0:32:32.320 --> 0:32:35.920
<v Speaker 4>they're called N4EA. And so we'll actually have a product

0:32:35.960 --> 0:32:39.370
<v Speaker 4>for this pretty soon. And so really excited to kind

0:32:39.430 --> 0:32:42.230
<v Speaker 4>of like actually connect this weather to the real world.

0:32:42.510 --> 0:32:44.350
<v Speaker 3>So this is river as well.

0:32:44.710 --> 0:32:49.360
<v Speaker 4>Yeah, or lack of water in the waterways.

0:32:49.620 --> 0:32:53.340
<v Speaker 2>Well, I mean, the Rhine needs your expertise and the

0:32:53.380 --> 0:32:57.960
<v Speaker 2>Mississippi River needs your expertise. And you're not short of

0:32:58.020 --> 0:32:59.680
<v Speaker 2>rivers that have had these problems.

0:32:59.780 --> 0:33:01.400
<v Speaker 3>Yeah, yeah, absolutely.

0:33:01.520 --> 0:33:04.790
<v Speaker 4>And speaking of other rivers, you mentioned the Mississippi. So

0:33:04.830 --> 0:33:06.170
<v Speaker 4>the Mississippi is going to get a lot of rain

0:33:06.190 --> 0:33:08.830
<v Speaker 4>this year. So that's great. So we're expecting a lot

0:33:08.870 --> 0:33:11.760
<v Speaker 4>in the southern U.S. As I said, Europe should see

0:33:11.840 --> 0:33:17.740
<v Speaker 4>some more water. Hopefully some of these low river levels

0:33:17.840 --> 0:33:20.710
<v Speaker 4>will get corrected over the next few months as they

0:33:20.730 --> 0:33:23.830
<v Speaker 4>get excess rain. The other area to really keep in

0:33:23.890 --> 0:33:30.070
<v Speaker 4>mind is with Africa, particularly. Often we see really wet

0:33:30.110 --> 0:33:33.310
<v Speaker 4>conditions in East Africa. And there is like so much

0:33:33.370 --> 0:33:37.540
<v Speaker 4>natural resource sort of work that goes on there. So

0:33:37.560 --> 0:33:41.720
<v Speaker 4>a ton of mining work, a lot of agriculture. So

0:33:41.940 --> 0:33:44.979
<v Speaker 4>that's another area to kind of really keep tabs on.

0:33:45.380 --> 0:33:49.000
<v Speaker 4>And then, of course, with El Nino, we tend to see, like,

0:33:49.040 --> 0:33:52.220
<v Speaker 4>for example, this year with this El Nino combined with

0:33:52.310 --> 0:33:57.140
<v Speaker 4>the fact that Our polar vortex is pretty strong. We're

0:33:57.180 --> 0:33:59.420
<v Speaker 4>not going to really see those kind of, you know,

0:33:59.620 --> 0:34:02.260
<v Speaker 4>dramatic cold snows this year. We should not see those

0:34:02.420 --> 0:34:05.020
<v Speaker 4>over the U.S. So that's another area that's interesting in

0:34:05.060 --> 0:34:09.420
<v Speaker 4>terms of, say, natural resources, particularly energy. On the other hand,

0:34:09.460 --> 0:34:13.600
<v Speaker 4>you know, we were looking at like renewables and specifically

0:34:13.719 --> 0:34:16.989
<v Speaker 4>solar and wind. And so, you know, there's like over

0:34:17.010 --> 0:34:20.890
<v Speaker 4>the U.S., for example, we expect areas of reduced wind.

0:34:21.640 --> 0:34:26.339
<v Speaker 4>and areas of reduced solar. And so, yes. And so

0:34:26.420 --> 0:34:28.480
<v Speaker 4>the fact that they're kind of like occurring at the

0:34:28.520 --> 0:34:32.350
<v Speaker 4>same time is significant. Another area where we expect a

0:34:32.390 --> 0:34:35.250
<v Speaker 4>wind drought is actually Australia. So, and these are things

0:34:35.290 --> 0:34:37.049
<v Speaker 4>that last for months, right? I mean, if I just

0:34:37.070 --> 0:34:40.010
<v Speaker 4>have one month where there's less wind, it's like, cool,

0:34:40.030 --> 0:34:42.730
<v Speaker 4>you know, I'll figure it out. But I mean, the

0:34:42.750 --> 0:34:44.589
<v Speaker 4>thing with El Nino is that it is like the

0:34:44.640 --> 0:34:47.399
<v Speaker 4>signal that lasts for, yeah, like a good, you know,

0:34:47.460 --> 0:34:50.100
<v Speaker 4>six months, nine months. And so- you know, you really

0:34:50.140 --> 0:34:55.299
<v Speaker 4>have to figure out a plan for whatever anomalies are

0:34:55.340 --> 0:34:56.360
<v Speaker 4>going to be that persistent.

0:34:56.739 --> 0:34:59.980
<v Speaker 3>Well, that's great. It's a lot to unpack there. That's

0:35:00.000 --> 0:35:01.459
<v Speaker 3>not much to unpack. Yeah.

0:35:01.480 --> 0:35:03.719
<v Speaker 2>Well, again, thank you so much for your time. This

0:35:03.760 --> 0:35:06.440
<v Speaker 2>has been great. I hope everyone has enjoyed this. I

0:35:06.480 --> 0:35:06.980
<v Speaker 2>certainly have.

0:35:07.140 --> 0:35:10.160
<v Speaker 4>Yeah. Thank you for having me, Andrew. Really appreciate it.

0:35:10.400 --> 0:35:10.899
<v Speaker 3>Thanks again.