WEBVTT - Is the world prepared for the 'super' El Niño?

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<v Speaker 1>More than fifty million people were killed between eighteen seventy

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<v Speaker 1>five and eighteen seventy eight. The period is now remembered

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<v Speaker 1>as the Great Famine, and one of the primary causes

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<v Speaker 1>behind the famine was a naturally occurring phenomenon called El Nino.

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<v Speaker 1>In fact, the eighteen seventy seven El Nino is the

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<v Speaker 1>strongest ever recorded. As of June, we have entered another

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<v Speaker 1>El Nino event, and scientists are expecting this one to

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<v Speaker 1>be very strong. Some call it a super El Nino,

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<v Speaker 1>or even a Godzilla El Nino. So are we better prepared?

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<v Speaker 1>In twenty twenty six? There are, after all, five times

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<v Speaker 1>as many people as in eighteen seventy seven, and the

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<v Speaker 1>planet is one point four degrees celsius orter. This is

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<v Speaker 1>zero I am Akshatrati this week understanding a monster. Since

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<v Speaker 1>nineteen seventy our appetite four fossil fuels has been increasing

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<v Speaker 1>global average temperatures by about zero point two degrees celsius

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<v Speaker 1>every decade. That is typically how much a single Al

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<v Speaker 1>Nino event raises global average temperatures by, and it does

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<v Speaker 1>so by releasing vast amounts of heat from the Pacific Ocean.

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<v Speaker 1>So this El Ninio will not just cause disasters around

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<v Speaker 1>the world, but it will also give us a taste

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<v Speaker 1>of what climate change could look like in twenty thirty

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<v Speaker 1>five if we continue to burn fossil fuels at the

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<v Speaker 1>same rate. To understand the al Ninia phenomenon, I'm joined

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<v Speaker 1>today by Ming Functing, Professor of Climate at Columbia University.

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<v Speaker 1>We talk about the science of al Nino, how prepared

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<v Speaker 1>the world is, and how scientists are responding to the

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<v Speaker 1>increased political attacks on an overheating planet. Professor Main Functing,

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<v Speaker 1>Welcome to zero.

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<v Speaker 2>Thanks for having me.

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<v Speaker 1>So we are about to enter what people are calling

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<v Speaker 1>a super el Nino. Before we start to talk about

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<v Speaker 1>the superpart, can you just woc us through the very

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<v Speaker 1>basics of what an el nino is.

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<v Speaker 3>El Nino is one of the most influential climate pattern

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<v Speaker 3>It the impacts not only the local region where it starts,

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<v Speaker 3>which is the tropical Pacific, but it also impacts regions

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<v Speaker 3>far from that region through something we call teleconnection, and

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<v Speaker 3>it can cause droughts in some parts of the world

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<v Speaker 3>and flooding in other parts, or you know, hurricanes and

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<v Speaker 3>other activities. So el Nino is a natural phenomena. And

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<v Speaker 3>to understand why only occurs, we have to start from

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<v Speaker 3>the normal state. So during the normal state of the

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<v Speaker 3>tropical Pacific, we have these steady trade winds that blows

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<v Speaker 3>from the east toward the west, which basically pushes warm

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<v Speaker 3>surface water that is exposed to the sunlight toward the

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<v Speaker 3>west and forming something we call the Pacific Western Pacific

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<v Speaker 3>warm pool. And the warm water there then fuels precipitation,

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<v Speaker 3>the rainfall, you know, convection and rainfall that leads to

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<v Speaker 3>rainy climate in regions like you know Indonesia, you know,

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<v Speaker 3>Northern Australia, and relatively cool climate in the eastern part

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<v Speaker 3>of the Pacific like the coast of Peru. And it

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<v Speaker 3>also the cooling you know, the water walmart being moved away.

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<v Speaker 3>It also allows the deep, cold and rich water come

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<v Speaker 3>to the surface. That also helps the ecosystem there, allows

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<v Speaker 3>you know, fish to flourish in that region. Uh during

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<v Speaker 3>a Nino, which is a disruption of normal cycle, and

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<v Speaker 3>what happens there is the wind tends to weaken, the

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<v Speaker 3>trade winds tend to weaken, and that allows the warm

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<v Speaker 3>water that is pushed toward the west to spread back

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<v Speaker 3>toward the east. Covering pretty much the majority of the

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<v Speaker 3>Tropical Pacific. The Tropical Pacific is a huge basin, so

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<v Speaker 3>that allows a lot of the heat from the surface

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<v Speaker 3>to be sent back to the atmosphere, increases the global

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<v Speaker 3>mean surface temperature and you know, causing convection changes that

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<v Speaker 3>alters the atmospheric circulation, which means high pressure low pressure

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<v Speaker 3>in different regions. So that then leads to anomalous climate

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<v Speaker 3>linked to surface temperature as well as precipitation, droughts, and

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<v Speaker 3>other other phenomena.

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<v Speaker 1>And the opposite happens in a La Ninia phase where

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<v Speaker 1>instead of the heat being released from the Pacific, more

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<v Speaker 1>heat is stored in the Pacific right.

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<v Speaker 3>Exactly, So there is an opposite phase of the Nino

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<v Speaker 3>site sudden we call it, and so Southern oscillation cycle.

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<v Speaker 3>And the opposite phase is the intensification of trade winds.

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<v Speaker 3>So the wind actually becomes a but normally strong that

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<v Speaker 3>pushes warm water further.

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<v Speaker 2>To the west.

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<v Speaker 3>That allows a warm warm to shrink, and that causes

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<v Speaker 3>more or less opposite kind of impact to a lot

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<v Speaker 3>of the global phenomena climate phenomena, but not exactly. You know,

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<v Speaker 3>there are some some asymmetriies between the two.

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<v Speaker 1>And just so we understand. Obviously, the Pacific Ocean is

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<v Speaker 1>the largest ocean by quite some distance, and when the

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<v Speaker 1>heat from the Pacific Ocean is released or absorbed in

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<v Speaker 1>these two phases, it has these global impacts because it

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<v Speaker 1>can make a big global difference to average temperatures. Right,

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<v Speaker 1>what is the range in which typically global average temperatures

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<v Speaker 1>increase or decrease during an Alninio versus in Coloninia?

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<v Speaker 2>Very good question. Yes.

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<v Speaker 3>One of the things Elnino does is that, as I mentioned,

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<v Speaker 3>that the surface water becomes warm across the type Pacific,

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<v Speaker 3>so that it allows more heat to be transferred from

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<v Speaker 3>the ocean toward the atmosphere through this warm surface water.

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<v Speaker 3>As you pointed out, it's Pacific, it's the largest ocean,

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<v Speaker 3>so once it's all covered by warm water, that is

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<v Speaker 3>a very big source of heat to the atmosphere, and

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<v Speaker 3>that actually increases the global mean surface temperature by the

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<v Speaker 3>order of something like point five degree across you know,

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<v Speaker 3>globally averaged. This is what happened in.

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<v Speaker 1>Some sense, pidegree celsius celsius.

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<v Speaker 3>Yes, half degree celsius. This is what happened in twenty three,

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<v Speaker 3>twenty four. The most recent Nini. If you recall there

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<v Speaker 3>was this a spike in the global means offace temperature.

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<v Speaker 1>And now scientists are talking about a super el Nino.

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<v Speaker 1>What is this definition of weak normal, big super al nino?

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<v Speaker 1>How is it measured exactly?

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<v Speaker 3>The strength of the al nino is measured by what

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<v Speaker 3>we call nino indexes induses. There are multiple indices. We

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<v Speaker 3>basically average the surface temperature over a certain region of

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<v Speaker 3>the tropical Pacific where we get the largest anomaly. So

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<v Speaker 3>a normal nino is one that indexes above point five

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<v Speaker 3>degrees over a certain period of time, and a strong

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<v Speaker 3>al nino would be above one degree, and a super

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<v Speaker 3>al nino would be something like above two degrees celsius,

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<v Speaker 3>all of them celsius.

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<v Speaker 1>Yeah, and right now there's a discussion that this is

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<v Speaker 1>a super el ninos. It's it's is do we know

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<v Speaker 1>how much is the anomaly? Is it two degrees celsius

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<v Speaker 1>or more?

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<v Speaker 3>Right now, the probability in all of the forecasts are probabilistic.

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<v Speaker 3>We based on multi model, So we estimate using statistical

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<v Speaker 3>methods of what is the likelihood of this aneno happening

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<v Speaker 3>and what is likelihood of it reaching certain strands so

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<v Speaker 3>currently the model forecasts, based on multiple models across the world,

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<v Speaker 3>is that there is one hundred percent chance theo will

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<v Speaker 3>be happening, and it's in fact already exists the conditions

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<v Speaker 3>we're already seeing it. But even back in you know, April,

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<v Speaker 3>we knew quite high high likelihood this all news happening.

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<v Speaker 3>And currently the chance of a superl Nino is about

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<v Speaker 3>sixty three percent. So it's about sixty percent.

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<v Speaker 1>And in terms of trying to understand the Almineo system's

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<v Speaker 1>strength and weakness, what causes certain alninos to be bigger

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<v Speaker 1>than other al ninos.

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<v Speaker 3>That's a very good question, which is something that we

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<v Speaker 3>are still researching. We know the mechanism of how AINO happens,

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<v Speaker 3>which is when you have the heat. You know, during

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<v Speaker 3>the normal time, you have the heat being pushed toward

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<v Speaker 3>the west, and that heat is pushed toward ocean in

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<v Speaker 3>the La Nina phase you know, including the normal phase,

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<v Speaker 3>that the heat is stored into the ocean, and that

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<v Speaker 3>ocean will be accumulating heat and taking a lot of

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<v Speaker 3>heat from the atmosphere and eventually it reaches a state

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<v Speaker 3>that it can release that heat back into the atmosphere

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<v Speaker 3>and that is where Nino will happen. Now, when exactly

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<v Speaker 3>it releases that heat and what triggers it, we know

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<v Speaker 3>a lot about it, but it's not like you know,

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<v Speaker 3>so there's a random chance like the Westley what we

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<v Speaker 3>call Westley wind bursts is the reason. You know, it

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<v Speaker 3>weakens the trade wings, and the question of how strong

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<v Speaker 3>it will be depends on the amount of heat that

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<v Speaker 3>is stored and other ocean conditions, ocean dynamics, and the

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<v Speaker 3>release process. So what we know for sure is the

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<v Speaker 3>model takes into account all of these conditions and was

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<v Speaker 3>able to predict how strong it might become.

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<v Speaker 1>Yeah, and so this La Ninia and Ninia phase the

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<v Speaker 1>cycle between two and seven years roughly and do this

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<v Speaker 1>process of absorbing the heat and then releasing the heat.

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<v Speaker 1>This is a natural phenomenon that has been happening on

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<v Speaker 1>the planet for a very long time now. Of course,

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<v Speaker 1>over the last two hundred years, we have been heating

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<v Speaker 1>up the planet by burning fossil fuels and adding to

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<v Speaker 1>the greenhouse gas blanket, which is heating up the planet,

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<v Speaker 1>but it's also heating up the ocean because when you're

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<v Speaker 1>heating the atmosphere, this La Nina alminio system, and of

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<v Speaker 1>course the other oceans are absorbing the heat that's in

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<v Speaker 1>the atmosphere. Yes, Is it then that climate change, because

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<v Speaker 1>of the heat being built up in the atmosphere, is

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<v Speaker 1>supercharging the al nino.

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<v Speaker 3>There are certainly possibilities that is happening, But currently the

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<v Speaker 3>models are not showing us for sure that the climate change,

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<v Speaker 3>the global warming for sulfiel induced, the global warming is

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<v Speaker 3>actually changing the behavior of the alnino itself. So anino

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<v Speaker 3>is still happening on a natural basis. It's an ocean

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<v Speaker 3>atmosphere interaction in the tropical Pacific. But what you said,

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<v Speaker 3>you know, that is something that we are all thinking about.

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<v Speaker 3>How much of it could be contributed by the fact

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<v Speaker 3>that the oceans taking up more heat.

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<v Speaker 1>Yes, the strongest al ninion record is known to be

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<v Speaker 1>between eighteen seventy seven and eighteen seventy eight, and there

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<v Speaker 1>are various impacts that came from that al nino and

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<v Speaker 1>that were quite severe. You know, the world was much

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<v Speaker 1>poorer a place back then. Something like fifty million people

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<v Speaker 1>were killed across India, China, Brazil. That's about three to

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<v Speaker 1>four percent of the global population at the time because

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<v Speaker 1>of the droughts that happened in the famine that was caused.

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<v Speaker 1>Now we are going into a strong super al ninio.

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<v Speaker 1>Are we better prepared? Do you think in twenty twenty six,

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<v Speaker 1>twenty seven with eight billion people on the planet.

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<v Speaker 3>I hope so, I suddenly hope so.

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<v Speaker 1>Yes.

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<v Speaker 3>Eighteen seventy six seventy eight is what we call a

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<v Speaker 3>great farming period caused you know, severe drought across the globe,

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<v Speaker 3>as you already mentioned India, China, Africa as well as

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<v Speaker 3>Brazil as well Brazil, and those droughts obviously affected the

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<v Speaker 3>crop yield, so crop failed in many, many regions. And

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<v Speaker 3>one of the things I would say, the farming is

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<v Speaker 3>obviously not directly caused by just crop yield drop. That's contributed,

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<v Speaker 3>but a lot of it is policy as well. So

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<v Speaker 3>people didn't know we are going to get into this

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<v Speaker 3>period of you know, droughts in multiple regions. So for

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<v Speaker 3>example India, you know, the crop trading at the time

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<v Speaker 3>was continuing like normal. So one of the things I

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<v Speaker 3>would hope now we know is that we know exactly

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<v Speaker 3>what's going to happen. I mean, not exactly. I am

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<v Speaker 3>very high likelihood we are going into a supernien yo,

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<v Speaker 3>so we can be better prepared in terms of what

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<v Speaker 3>we can do about it. By the way, I should

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<v Speaker 3>mention India rainfalls already reduced this year. We're already seeing

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<v Speaker 3>the impact of this El Nino, and I believe the

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<v Speaker 3>onset of monsoon's delayed, which partially also led to some

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<v Speaker 3>of the you know, contributed to the to the heat

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<v Speaker 3>waves there earlier pre monsoon heat waves.

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<v Speaker 2>So my hope is that.

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<v Speaker 3>You know, people will be actually prepared in the sense

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<v Speaker 3>of delayed planting for example, for agriculture side of things,

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<v Speaker 3>and also not to uh you know, export crops. You know,

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<v Speaker 3>when when farming is, when when drugs coming uh So, Yeah,

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<v Speaker 3>I think there are a lot of ways and technology

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<v Speaker 3>as well.

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<v Speaker 1>Yeah, and in the recent decades when we have had

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<v Speaker 1>technology both to make predictions about al NIU and then

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<v Speaker 1>ideally make some policy changes. What are the recent strong

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<v Speaker 1>El Ninos that have happened and what kind of impacts

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<v Speaker 1>have they led to.

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<v Speaker 3>The most recent one is twenty three twenty four yo.

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<v Speaker 3>That one's actually really unusual. It's not a superos, it's

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<v Speaker 3>a strong eno. It's reached index reached one point five

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<v Speaker 3>degrees celsius so it is a strong on year, but

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<v Speaker 3>it's not a super one. One consequence of that nino

0:15:28.200 --> 0:15:32.920
<v Speaker 3>was the actual concurrent heat waves we experienced, you know,

0:15:33.200 --> 0:15:36.680
<v Speaker 3>in July twenty three, you know, the sum of twenty

0:15:36.720 --> 0:15:40.200
<v Speaker 3>three and both some of twenty three and twenty four.

0:15:40.240 --> 0:15:43.560
<v Speaker 3>In fact, we had lots and lots of heat waves

0:15:43.600 --> 0:15:49.280
<v Speaker 3>happening across different continents, and I think that is you know,

0:15:49.360 --> 0:15:53.960
<v Speaker 3>as we talked earlier, it is contributed partially by the

0:15:54.600 --> 0:15:59.520
<v Speaker 3>increase in global surface temperature on top of already gradually

0:15:59.520 --> 0:16:01.200
<v Speaker 3>increasing temperature.

0:16:01.360 --> 0:16:04.479
<v Speaker 1>Right the heat waves we are experiencing are the alineo

0:16:04.840 --> 0:16:08.520
<v Speaker 1>point two degree celsius temperature increase on top of the

0:16:08.640 --> 0:16:11.560
<v Speaker 1>one point two or one point four degrees celsius of

0:16:11.600 --> 0:16:15.400
<v Speaker 1>climate change that we have caused, and that makes the

0:16:15.440 --> 0:16:18.080
<v Speaker 1>heat waves even more extreme than they would have been

0:16:18.600 --> 0:16:22.920
<v Speaker 1>it we not cause climate change, yes, exactly. And in

0:16:22.960 --> 0:16:26.960
<v Speaker 1>that case, then is it accurate to say that, you know,

0:16:27.080 --> 0:16:30.600
<v Speaker 1>when we see this al ninio phase, we are sort

0:16:30.600 --> 0:16:33.760
<v Speaker 1>of getting a flavor of what extreme weather would look

0:16:33.880 --> 0:16:37.560
<v Speaker 1>like in five or ten years as we continue to

0:16:37.600 --> 0:16:39.360
<v Speaker 1>burn fossil fuels and heat up the planet.

0:16:40.640 --> 0:16:43.800
<v Speaker 3>Absolutely, I mean, we are definitely seeing the temperatures continue

0:16:43.840 --> 0:16:47.120
<v Speaker 3>to rise. So on top of that, if we have

0:16:47.200 --> 0:16:51.080
<v Speaker 3>another super onion you're like this upcoming one, then that

0:16:51.080 --> 0:16:55.080
<v Speaker 3>that adds to another additional heat into the atmosphere.

0:16:55.280 --> 0:16:58.760
<v Speaker 2>So that kind of you know, higher.

0:16:58.480 --> 0:17:02.120
<v Speaker 3>Global meanings surface temperature. Obviously, the global meaning when we say,

0:17:02.160 --> 0:17:04.800
<v Speaker 3>you know, the point five point two point point five

0:17:04.840 --> 0:17:08.320
<v Speaker 3>degrees celsius is in the global mean, it's regionally it

0:17:08.359 --> 0:17:12.360
<v Speaker 3>can be much higher. So they're not evenly distributed, so

0:17:12.480 --> 0:17:15.359
<v Speaker 3>some regions may be up to you know, one degree

0:17:15.400 --> 0:17:19.560
<v Speaker 3>two degrees, right, So that is a substantial amount being added.

0:17:19.880 --> 0:17:23.600
<v Speaker 3>So we can definitely expect to see a lot more

0:17:23.720 --> 0:17:27.960
<v Speaker 3>of concurrent heat when that happens, which means basically you

0:17:28.000 --> 0:17:31.240
<v Speaker 3>are seeing heat wave happening across different regions at the

0:17:31.280 --> 0:17:31.840
<v Speaker 3>same time.

0:17:32.640 --> 0:17:35.440
<v Speaker 1>And let's just talk through some of the impacts we've mentioned.

0:17:35.480 --> 0:17:38.080
<v Speaker 1>In the eighteen seventy seven a linear the strongest ever,

0:17:38.640 --> 0:17:42.520
<v Speaker 1>there were famines. But the thing that Alinea does is

0:17:42.680 --> 0:17:46.399
<v Speaker 1>increases droughts in certain regions but also increases flooding in

0:17:46.480 --> 0:17:50.359
<v Speaker 1>other regions. It just changes rainfall patterns in multiple places,

0:17:50.720 --> 0:17:55.480
<v Speaker 1>and both can have impact on agricultural yields. But as

0:17:55.520 --> 0:18:00.000
<v Speaker 1>we've also become much more urban in the last two century.

0:18:00.600 --> 0:18:03.960
<v Speaker 1>It can have massive impacts on cities and people. The

0:18:04.040 --> 0:18:07.240
<v Speaker 1>twenty three twenty four al Ninio, for example, had catastrophic

0:18:07.280 --> 0:18:11.800
<v Speaker 1>floods in Kenya. And then there are other impacts from

0:18:12.119 --> 0:18:15.359
<v Speaker 1>Alninius that can come through. So the twenty fifteen twenty

0:18:15.359 --> 0:18:18.160
<v Speaker 1>sixteen al NINII is known for having caused a lot

0:18:18.160 --> 0:18:22.480
<v Speaker 1>of coal bleaching, especially in the Great Barrier reef in Australia.

0:18:23.640 --> 0:18:25.959
<v Speaker 1>What other impacts should people be aware of?

0:18:27.760 --> 0:18:33.159
<v Speaker 3>Impact like wilderfires is wildfires is very severe. As we know,

0:18:33.680 --> 0:18:38.600
<v Speaker 3>global warming already are causing dry, drier conditions in many

0:18:38.960 --> 0:18:43.840
<v Speaker 3>regions like California for example, southwestern US, and so that

0:18:43.960 --> 0:18:49.879
<v Speaker 3>already increased wildfire risk. So in this Caseino is very

0:18:49.960 --> 0:18:52.640
<v Speaker 3>well known to be linked to increase the wildfire risk

0:18:52.800 --> 0:19:01.160
<v Speaker 3>in regions like Indonesia, Northern Australia, Eastern Australia where the

0:19:01.200 --> 0:19:04.320
<v Speaker 3>suppressed the rainfall happens. You know, when the rainfall shifts

0:19:04.359 --> 0:19:09.560
<v Speaker 3>toward the Central Pacific, the warm water moves toward the east,

0:19:10.000 --> 0:19:13.680
<v Speaker 3>the rainfall also moves with it. So that is causing

0:19:13.920 --> 0:19:16.000
<v Speaker 3>a lot of the drying conditions there and a lot

0:19:16.040 --> 0:19:19.280
<v Speaker 3>of fires. One of them. As you pointed out, Flooding

0:19:19.520 --> 0:19:25.280
<v Speaker 3>is another common risk associated with El Nino in regions

0:19:25.320 --> 0:19:30.640
<v Speaker 3>like the California West south southern US and some part

0:19:30.680 --> 0:19:36.560
<v Speaker 3>of proving you know, coast regions there can be really

0:19:36.960 --> 0:19:42.600
<v Speaker 3>severe flooding that can lead to landslides for example, hazards

0:19:42.680 --> 0:19:43.000
<v Speaker 3>like that.

0:19:43.720 --> 0:19:46.760
<v Speaker 1>One way in which one of the scientists explained to

0:19:46.840 --> 0:19:49.919
<v Speaker 1>me the super part of the al nino was to

0:19:50.000 --> 0:19:54.520
<v Speaker 1>think about the things that put heat into the ocean

0:19:54.520 --> 0:19:57.679
<v Speaker 1>which then eventually comes out. So one is, because of

0:19:57.840 --> 0:20:00.280
<v Speaker 1>human cross climate change, we are heating up the planet.

0:20:00.400 --> 0:20:02.920
<v Speaker 1>Some of that heat is being transferred into the ocean.

0:20:03.440 --> 0:20:05.760
<v Speaker 1>The other is the La Ninia phase, which is a

0:20:05.800 --> 0:20:09.119
<v Speaker 1>phase where there is more than normal heat that is

0:20:09.160 --> 0:20:11.840
<v Speaker 1>absorbed by the oceans and then it gets stored in

0:20:12.160 --> 0:20:16.239
<v Speaker 1>the Pacific. And typically an el nino follows a La

0:20:16.320 --> 0:20:21.280
<v Speaker 1>Ninia and so you get sort of a battery that

0:20:21.359 --> 0:20:24.720
<v Speaker 1>is being charged, then that gets released in the El nino.

0:20:25.640 --> 0:20:28.080
<v Speaker 1>And then there are other factors that we are still

0:20:28.200 --> 0:20:33.000
<v Speaker 1>to understand. And of course this is a very complex phenomenon,

0:20:33.440 --> 0:20:37.199
<v Speaker 1>so all the factors are not yet understood. But is

0:20:37.280 --> 0:20:39.760
<v Speaker 1>there any other factor that we should be thinking about

0:20:40.080 --> 0:20:42.760
<v Speaker 1>on how much more heat is released in an al nino.

0:20:43.080 --> 0:20:46.480
<v Speaker 3>I think you have covered most of it. You're understanding

0:20:46.560 --> 0:20:51.960
<v Speaker 3>is so complete. I can't think of any additional factor

0:20:52.080 --> 0:20:58.400
<v Speaker 3>that we haven't talked about. I think, you know, yes,

0:20:58.600 --> 0:21:03.359
<v Speaker 3>ultimately we are still trying to understand better. One of

0:21:03.400 --> 0:21:07.119
<v Speaker 3>the things you mentioned is La Nina before al Nino,

0:21:07.520 --> 0:21:12.200
<v Speaker 3>which is a phase that heat is me put into

0:21:12.240 --> 0:21:16.879
<v Speaker 3>the ocean storage phase. So there were studies indicating the

0:21:16.960 --> 0:21:19.719
<v Speaker 3>longer the La Nina. Laanina seems, you know, tend to

0:21:19.760 --> 0:21:22.800
<v Speaker 3>be lasting longer, not this time, this time. You know,

0:21:22.880 --> 0:21:26.440
<v Speaker 3>after the twenty three twenty four al Nino, we entered

0:21:26.440 --> 0:21:30.520
<v Speaker 3>the Laina phase and pretty much just ended right before

0:21:30.560 --> 0:21:34.159
<v Speaker 3>this al Nino, so it wasn't a super long Laina's

0:21:34.200 --> 0:21:38.560
<v Speaker 3>you know, heat storage phase. So there are studies indicating

0:21:39.040 --> 0:21:43.320
<v Speaker 3>the longer Laanina phase could lead to stronger al Ninho,

0:21:44.000 --> 0:21:48.280
<v Speaker 3>but I don't think that is being widely accepted as

0:21:48.320 --> 0:21:53.240
<v Speaker 3>a valid mechanism because we don't see that in data.

0:21:53.840 --> 0:21:57.239
<v Speaker 3>So that could be one, you know, it's how La

0:21:57.280 --> 0:22:01.680
<v Speaker 3>Nina behaves right before El Nino that could determine the

0:22:01.720 --> 0:22:05.040
<v Speaker 3>intensity of the following nino. But ultimately, I think we

0:22:05.280 --> 0:22:07.600
<v Speaker 3>still have a lot up to to understand.

0:22:08.520 --> 0:22:10.600
<v Speaker 1>And then one of the scientists I was listening to said,

0:22:11.160 --> 0:22:15.000
<v Speaker 1>no two el ninos are the same. What does that mean?

0:22:16.600 --> 0:22:21.159
<v Speaker 3>Right? So first of all, not yes, exactly, it means

0:22:21.440 --> 0:22:23.960
<v Speaker 3>none of the No two. You can you can try

0:22:24.000 --> 0:22:27.560
<v Speaker 3>to find the exact replica of you know, theinos.

0:22:27.600 --> 0:22:29.240
<v Speaker 2>They always differ in some ways.

0:22:29.400 --> 0:22:33.200
<v Speaker 3>But I think what it means more is that even

0:22:33.320 --> 0:22:37.320
<v Speaker 3>if you have identical al Ninho, the impact will never

0:22:37.400 --> 0:22:40.000
<v Speaker 3>be exactly the same. I think that is more of

0:22:40.080 --> 0:22:42.880
<v Speaker 3>what you know we usually mean in the sense that

0:22:43.440 --> 0:22:47.200
<v Speaker 3>Ninho is putting, you know again the weight to the

0:22:47.400 --> 0:22:52.400
<v Speaker 3>you know, the the dice. So it's not the only factor.

0:22:53.160 --> 0:22:56.560
<v Speaker 3>Rainfall patterns here and there, you know, droughts and all

0:22:56.600 --> 0:22:59.840
<v Speaker 3>of that that can be impacted by multiple factors in

0:22:59.880 --> 0:23:03.760
<v Speaker 3>the climate system. Nino is just adding a weight to

0:23:04.080 --> 0:23:10.760
<v Speaker 3>one direction. So depending on how the climate, the weather

0:23:10.800 --> 0:23:15.600
<v Speaker 3>pattern itself evolves in the under a Certainino condition, you

0:23:15.640 --> 0:23:19.040
<v Speaker 3>can get a very different impact in different regions.

0:23:23.480 --> 0:23:27.320
<v Speaker 1>After the break, I ask Professor Ming Functing how climate

0:23:27.359 --> 0:23:30.640
<v Speaker 1>scientists are responding in the phase of increased political attacks.

0:23:31.880 --> 0:23:34.680
<v Speaker 1>If you've learned something new from zero, please do give

0:23:34.760 --> 0:23:38.040
<v Speaker 1>us a rating on your favorite podcast app. It helps

0:23:38.080 --> 0:23:54.119
<v Speaker 1>new listeners find the show. Now, this is all happening

0:23:54.119 --> 0:23:58.040
<v Speaker 1>at a time where, at least in the US, there

0:23:58.040 --> 0:24:04.080
<v Speaker 1>are attacks from governments, from political actors on climate science itself. Now,

0:24:04.160 --> 0:24:08.119
<v Speaker 1>climate science is not new to political attacks. These have

0:24:08.240 --> 0:24:10.960
<v Speaker 1>happened over the past three decades in many different ways,

0:24:11.280 --> 0:24:15.119
<v Speaker 1>and the climate scientists community, including yourself, have worked to

0:24:15.160 --> 0:24:18.159
<v Speaker 1>try and figure out what is the best way to

0:24:18.480 --> 0:24:21.639
<v Speaker 1>showcase the work that you're doing, why it helps people,

0:24:22.000 --> 0:24:24.960
<v Speaker 1>what are the facts, and how it allows us to

0:24:25.000 --> 0:24:29.960
<v Speaker 1>prepare for a better world. But particularly in this period,

0:24:30.400 --> 0:24:33.720
<v Speaker 1>you know, there are direct impacts that can come through

0:24:34.080 --> 0:24:39.680
<v Speaker 1>on people's lived experiences. So there was a recent proposal

0:24:39.760 --> 0:24:44.080
<v Speaker 1>from the Trump administration to dismantle the ocean monitoring system

0:24:44.119 --> 0:24:46.600
<v Speaker 1>that you talked about, which can help us predict and

0:24:46.720 --> 0:24:51.960
<v Speaker 1>al Ninio. Of course, Congress has stopped that from happening,

0:24:52.040 --> 0:24:56.800
<v Speaker 1>and so the ocean monitoring system will continue to support

0:24:57.000 --> 0:25:01.560
<v Speaker 1>El Nino work for much longer. As a climate scientist,

0:25:01.600 --> 0:25:02.800
<v Speaker 1>how have you been affected?

0:25:04.160 --> 0:25:07.720
<v Speaker 3>We are all affected in different ways. One of the

0:25:07.760 --> 0:25:11.680
<v Speaker 3>biggest impact is the funding itself. So you know, you

0:25:12.040 --> 0:25:14.600
<v Speaker 3>we are all our works depend on funding. You know,

0:25:14.600 --> 0:25:18.480
<v Speaker 3>our graduate students, post docs, uh, you know, at other

0:25:18.680 --> 0:25:22.480
<v Speaker 3>facilities that we need to to to do the work. Myself,

0:25:22.560 --> 0:25:26.959
<v Speaker 3>I'm not an observational climate scientist in the sense that

0:25:27.040 --> 0:25:30.560
<v Speaker 3>I don't go out and collect data, but as you

0:25:30.640 --> 0:25:33.640
<v Speaker 3>pointed out, that is a super important part of our

0:25:33.680 --> 0:25:37.200
<v Speaker 3>research because we rely on data and my work is

0:25:37.240 --> 0:25:41.960
<v Speaker 3>mostly rely on model so that needs supercomputer infrastructure like

0:25:42.000 --> 0:25:47.080
<v Speaker 3>that to help us continue our research. So one of

0:25:47.160 --> 0:25:49.840
<v Speaker 3>the things I wanted to bring up is, you know,

0:25:50.080 --> 0:25:55.560
<v Speaker 3>climate science itself, it's a physical science, it's not really political.

0:25:55.920 --> 0:25:59.320
<v Speaker 3>But I think we we can communicate better in the sense,

0:25:59.440 --> 0:26:02.280
<v Speaker 3>you know, it is a kind of like you know,

0:26:02.320 --> 0:26:06.040
<v Speaker 3>you're thinking about throw a dice, you're really saying you're

0:26:06.080 --> 0:26:10.760
<v Speaker 3>putting weight on certain high numbers climate changes. That is

0:26:10.800 --> 0:26:13.960
<v Speaker 3>basically doing that. You know you're not equal chance of

0:26:14.000 --> 0:26:16.720
<v Speaker 3>getting all the numbers, but rather now you're getting the

0:26:16.800 --> 0:26:18.200
<v Speaker 3>extremes more likely.

0:26:18.560 --> 0:26:23.280
<v Speaker 1>Yeah, and thinking about life in probability terms is very

0:26:23.280 --> 0:26:27.640
<v Speaker 1>difficult for people in general, even for people who understand

0:26:27.680 --> 0:26:32.800
<v Speaker 1>probability and who are working on statistical methods, and so

0:26:32.880 --> 0:26:36.760
<v Speaker 1>that becomes a difficult issue to communicate. But one field

0:26:36.800 --> 0:26:40.400
<v Speaker 1>that is emerging that is trying to make this communication

0:26:40.520 --> 0:26:44.600
<v Speaker 1>simpler to say, not all extreme weather is caused by

0:26:44.600 --> 0:26:48.399
<v Speaker 1>climate change, but some we can clearly show the link

0:26:48.520 --> 0:26:53.520
<v Speaker 1>to climate change, and that science is extreme weather attribution science.

0:26:54.680 --> 0:26:57.879
<v Speaker 1>Can you just walk us through what extreme weather attribution

0:26:58.040 --> 0:26:58.960
<v Speaker 1>work looks like.

0:26:59.520 --> 0:27:02.639
<v Speaker 2>Yes, Uh, this is a very mature science. Now.

0:27:03.240 --> 0:27:08.760
<v Speaker 3>We're basically using models to help us understand what is likely, Uh,

0:27:08.880 --> 0:27:13.440
<v Speaker 3>this event happened. Let's say europeanky wave currently where we're

0:27:13.480 --> 0:27:18.280
<v Speaker 3>all talking about it. So how likely this event would

0:27:18.440 --> 0:27:23.960
<v Speaker 3>happen in a world without fossil fuel versus with fossil fuel.

0:27:24.480 --> 0:27:28.400
<v Speaker 3>We run model runs with those two conditions and then

0:27:28.560 --> 0:27:33.000
<v Speaker 3>get a probable probability of this kind of event happening.

0:27:33.440 --> 0:27:36.280
<v Speaker 2>And I don't know if you've heard, you know, read

0:27:36.320 --> 0:27:37.280
<v Speaker 2>the news report.

0:27:37.680 --> 0:27:42.840
<v Speaker 3>The weather World Weather Attribution Group has already done that

0:27:43.480 --> 0:27:46.800
<v Speaker 3>and they're always, you know, really fast in producing that.

0:27:47.359 --> 0:27:52.880
<v Speaker 3>And the conclusion there is that it's very unlikely, uh,

0:27:52.920 --> 0:27:58.000
<v Speaker 3>this event would happen without fossil fuel contribution into the

0:27:58.040 --> 0:27:59.360
<v Speaker 3>climate warming.

0:28:00.680 --> 0:28:04.439
<v Speaker 1>Yeah, we're recording this episode during the heat wave in

0:28:04.480 --> 0:28:09.639
<v Speaker 1>Europe in June, and the study says that this is

0:28:09.680 --> 0:28:13.520
<v Speaker 1>the worst recorded heat wave in Europe and that it

0:28:13.560 --> 0:28:17.560
<v Speaker 1>would be virtually impossible without human cost climate change. Having

0:28:17.640 --> 0:28:21.399
<v Speaker 1>run this model, and one of the scientists who was

0:28:21.440 --> 0:28:26.720
<v Speaker 1>involved in the study put it very plainly. It's Frederica Otto,

0:28:26.800 --> 0:28:30.400
<v Speaker 1>she's a professor at Imperial College London, and she said, yes,

0:28:30.480 --> 0:28:33.800
<v Speaker 1>this is climate change. Yes it is us causing this

0:28:33.880 --> 0:28:37.359
<v Speaker 1>climate change. No, it's not el Ninio that is making

0:28:37.400 --> 0:28:41.920
<v Speaker 1>this extreme heat wave worse. And then she adds, we

0:28:41.960 --> 0:28:45.120
<v Speaker 1>have the solutions and we are not implementing them fast enough.

0:28:46.240 --> 0:28:49.280
<v Speaker 1>And that clear communication is of course coming from a

0:28:49.320 --> 0:28:53.720
<v Speaker 1>base of, as you said, a mature science. But there's

0:28:53.760 --> 0:28:57.680
<v Speaker 1>already a layer of politics getting involved.

0:28:57.720 --> 0:28:57.880
<v Speaker 3>Now.

0:28:57.920 --> 0:29:01.960
<v Speaker 1>The US National Academies of Science, Engineering, and Medicine are

0:29:01.960 --> 0:29:04.880
<v Speaker 1>conducting a study to look at attribution science. They did

0:29:04.920 --> 0:29:08.040
<v Speaker 1>so a decade ago, and now methods have improved and

0:29:08.200 --> 0:29:11.400
<v Speaker 1>become more precise, and so they are doing another study

0:29:11.400 --> 0:29:15.360
<v Speaker 1>to look at effectiveness of these methods. And there is

0:29:17.120 --> 0:29:21.040
<v Speaker 1>an effort from political actors, some in the governments, some

0:29:21.080 --> 0:29:26.880
<v Speaker 1>in think tanks, who want to weaken attribution science's value

0:29:27.320 --> 0:29:32.560
<v Speaker 1>because they worry that it will be used in courts

0:29:32.880 --> 0:29:35.960
<v Speaker 1>to try and hold powerful actors like governments or corporations

0:29:36.000 --> 0:29:41.240
<v Speaker 1>to account. What can scientists do to ensure that attribution

0:29:41.400 --> 0:29:45.280
<v Speaker 1>science doesn't come under these kinds of political attack.

0:29:45.400 --> 0:29:49.640
<v Speaker 3>Again, you know, attribution science itself is a science. So

0:29:50.400 --> 0:29:55.120
<v Speaker 3>you know, I'm not familiar with this new attribution study

0:29:55.760 --> 0:30:00.880
<v Speaker 3>conducting under National Science econdom of Science. But even if

0:30:01.320 --> 0:30:05.840
<v Speaker 3>they redo it, they'll be using the best model available,

0:30:06.320 --> 0:30:13.760
<v Speaker 3>and I can't imagine scientists would claim otherwise the results

0:30:13.800 --> 0:30:17.760
<v Speaker 3>are going to be what it is. But it is probabilistic,

0:30:18.520 --> 0:30:21.200
<v Speaker 3>so it's you know, even though it is virtually impossible,

0:30:21.280 --> 0:30:24.800
<v Speaker 3>it doesn't mean it's completely impossible. This could happen without

0:30:25.080 --> 0:30:30.880
<v Speaker 3>climate change, so you know, communication like you know, adding

0:30:30.920 --> 0:30:35.120
<v Speaker 3>some kind of emphasis, you know, compared to nineteen seventies

0:30:35.160 --> 0:30:38.240
<v Speaker 3>I think in their study they've already done that, compared

0:30:38.240 --> 0:30:41.520
<v Speaker 3>to nineteen seventies condition where fossil fuel has already you know,

0:30:41.920 --> 0:30:45.880
<v Speaker 3>been burning for a while, and it's about two hundred

0:30:45.920 --> 0:30:49.680
<v Speaker 3>times less likely in the nineteen seventies condition. So I

0:30:49.680 --> 0:30:55.479
<v Speaker 3>think put out more numbers like this could help. So

0:30:55.840 --> 0:31:00.400
<v Speaker 3>this is not you know, something we just come, you know,

0:31:00.760 --> 0:31:04.080
<v Speaker 3>the sort of grab out of the same air. I think,

0:31:04.160 --> 0:31:07.280
<v Speaker 3>you know, I believe in scientists in category. I think,

0:31:07.320 --> 0:31:10.840
<v Speaker 3>you know, if people are truly believing. You know, they

0:31:10.840 --> 0:31:16.400
<v Speaker 3>are exploring possibilities. The conclusions drawn by one group may

0:31:16.440 --> 0:31:19.960
<v Speaker 3>not be accurate. I'm totally for it. I think the

0:31:20.040 --> 0:31:20.640
<v Speaker 3>more the better.

0:31:22.160 --> 0:31:25.280
<v Speaker 1>Yeah, And two hundred times more likely or less likely

0:31:25.400 --> 0:31:28.840
<v Speaker 1>is a huge number. Right. If suddenly somewhere were to

0:31:28.880 --> 0:31:33.360
<v Speaker 1>tell me, if you cross the road today, there's a

0:31:33.360 --> 0:31:36.200
<v Speaker 1>two hundred times more likelihood that you'll get hit by

0:31:36.600 --> 0:31:39.600
<v Speaker 1>a car, I would be scared. I would take care

0:31:39.680 --> 0:31:41.920
<v Speaker 1>about crossing the road. I would make sure that the

0:31:41.960 --> 0:31:45.480
<v Speaker 1>traffic light is red and not crossover without that same

0:31:45.520 --> 0:31:48.000
<v Speaker 1>thing with you know, taking a plane or a car.

0:31:48.320 --> 0:31:52.000
<v Speaker 1>If you are going to die, then the probability increases

0:31:52.040 --> 0:31:53.000
<v Speaker 1>by two hundred times.

0:31:53.080 --> 0:31:53.840
<v Speaker 2>Yes, you would be.

0:31:53.840 --> 0:31:57.800
<v Speaker 1>Very careful and so absolute. People must heed what the

0:31:57.840 --> 0:31:59.080
<v Speaker 1>statistics are telling us.

0:31:59.440 --> 0:32:02.360
<v Speaker 3>Yes, I think another example we can talk about it

0:32:02.400 --> 0:32:05.560
<v Speaker 3>is smoking. You know a lot of people believe smoking

0:32:05.960 --> 0:32:09.600
<v Speaker 3>increases the chance of getting lung cancer.

0:32:10.000 --> 0:32:11.640
<v Speaker 2>And I hope a lot of.

0:32:11.680 --> 0:32:15.000
<v Speaker 3>Young people, you know, learn that and not not stop

0:32:15.120 --> 0:32:20.000
<v Speaker 3>smoking because they know the probability shift, right, that the

0:32:20.000 --> 0:32:20.880
<v Speaker 3>odds change.

0:32:21.080 --> 0:32:23.080
<v Speaker 2>So absolutely, I agree with you.

0:32:23.120 --> 0:32:27.360
<v Speaker 3>The two hundred times is huge number, and we definitely

0:32:27.680 --> 0:32:31.760
<v Speaker 3>should heat to to that, you know, change our behavior

0:32:31.880 --> 0:32:32.520
<v Speaker 3>in some ways.

0:32:34.560 --> 0:32:35.480
<v Speaker 2>You're welcome.

0:32:41.120 --> 0:32:43.560
<v Speaker 1>And thank you for listening to Zero. Now for the

0:32:43.600 --> 0:32:58.080
<v Speaker 1>sound of the week. That is the sound of Lover

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<v Speaker 1>flowing from the most recent option of Mount Etna, which

0:33:01.920 --> 0:33:04.320
<v Speaker 1>happened on the twenty sixth of June on the Italian

0:33:04.360 --> 0:33:08.680
<v Speaker 1>island of Sicily. If you liked this episode, please take

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<v Speaker 1>a moment to rate and review the show on Apple Podcasts, YouTube,

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<v Speaker 1>and Spotify. This episode was produced by Sommersadi and Oscar

0:33:16.000 --> 0:33:20.160
<v Speaker 1>boyd Our. Theme music is composed by Wonderly Special Thanks

0:33:20.160 --> 0:33:24.239
<v Speaker 1>to Blake Maples, Laura Milan and Alissa McDonald. I am

0:33:24.240 --> 0:33:25.960
<v Speaker 1>Akshatrati Back soon.