WEBVTT - How Do Spaghetti Plots Help Predict Storms?

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<v Speaker 1>Welcome to brain Stuff production of iHeart Radio, Hey brain

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<v Speaker 1>Stuff Lauren vocal bomb here. As. The Atlantic hurricane season

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<v Speaker 1>began on June one nine and runs through November thirtieth,

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<v Speaker 1>the National Oceanic and Atmospheric Association predicted a range of

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<v Speaker 1>between nine and fifteen storms that would be big enough

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<v Speaker 1>to merit names. That is, storms with winds of thirty

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<v Speaker 1>nine miles per hour about sixty three kilometers per hour

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<v Speaker 1>or higher. Four to eight of these were predicted to

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<v Speaker 1>become hurricanes, and two to four of those were forecast

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<v Speaker 1>to become major hurricanes in category three, four, or five.

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<v Speaker 1>That is what sustained winds of a hundred and eleven

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<v Speaker 1>miles per hour or a hundred and seventy nine kilometers

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<v Speaker 1>per hour or higher. Those categories are from the SOFIA

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<v Speaker 1>Simpson Hurricane Wind Scale, which explains the severity of damage

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<v Speaker 1>that can be expected from each hurricane category based on

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<v Speaker 1>the wind's ability to collapse roofs, walls, trees, and power

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<v Speaker 1>infrastructure at different beads. To aid in forecasting efforts, meteorologists

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<v Speaker 1>utilize visualizations called spaghetti models, also sometimes known as spahetti plots.

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<v Speaker 1>To a lay person, spaghetti models look like well, a

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<v Speaker 1>bunch of spaghetti strands thrown against a wall. In reality, though,

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<v Speaker 1>spahetti plots are a method of combining information from a

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<v Speaker 1>variety of predictive models onto one map to come up

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<v Speaker 1>with a picture of a hurricanes potential track. We spoke

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<v Speaker 1>with Daniel J. Leathers, a professor and director of the

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<v Speaker 1>Meteorology and Climatology Program at the University of Delaware. He

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<v Speaker 1>also serves as Delaware State Climatologist and as a co

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<v Speaker 1>director of the Delaware Environmental Observing System. He explained each

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<v Speaker 1>model that's used to predict hurricane paths and in many

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<v Speaker 1>cases intensity can have that path plotted on a map.

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<v Speaker 1>All of spaghetti plot does is take the results from

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<v Speaker 1>all of these models and plot all of them on

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<v Speaker 1>the same map. To understand why spaghetti plots are important,

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<v Speaker 1>you have to understand that there are a whole bunch

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<v Speaker 1>of different modeling methods that are used to track hurricanes,

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<v Speaker 1>and like presidential election polls, for example, they don't all

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<v Speaker 1>produce the same results. The object of creating such a map,

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<v Speaker 1>according to Leathers, is to see the extent to which

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<v Speaker 1>all the different models agree. He said, oh, when the

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<v Speaker 1>paths are very similar to one another. This means that

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<v Speaker 1>all the models are agreeing to a large extent about

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<v Speaker 1>the future path of the storm. In contrast, if the

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<v Speaker 1>individual plots are all over the place quote, then that

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<v Speaker 1>says that there is great uncertainty in the models about

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<v Speaker 1>where the storm will move in the future. Spetty plots

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<v Speaker 1>are a way of seeing all of the model results

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<v Speaker 1>at one time and not relying on just one model

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<v Speaker 1>for a forecast. They are very helpful in conveying the

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<v Speaker 1>certainty or uncertainty of a forecast. The lines on the

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<v Speaker 1>chart indicate the different paths projected by the various models,

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<v Speaker 1>which have varying degrees of reliability. Leathers said. The models

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<v Speaker 1>include dynamical models using the physics of the atmosp fear,

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<v Speaker 1>statistical models, and in some cases analog models to predict

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<v Speaker 1>the coming movement of an individual storm. These models come

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<v Speaker 1>from meteorological organizations from all across the globe of places

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<v Speaker 1>like the National Weather Service, the British met Office, universities

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<v Speaker 1>and so on. Some models are certainly thought to be

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<v Speaker 1>better than others, they are very different in how they

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<v Speaker 1>make predictions and in what they are best at. So

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<v Speaker 1>what if any useful information can lay people get from

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<v Speaker 1>looking at spaghetti plots, A Lether's explains the most useful

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<v Speaker 1>information is the certainty of the forecast. Again, if all

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<v Speaker 1>the paths are very similar, the forecast certainty is high.

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<v Speaker 1>If the paths are very different, the certainty is low.

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<v Speaker 1>If there's a great spread in the forecast tracks, then

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<v Speaker 1>that shows that the models are not doing a great

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<v Speaker 1>job as a suite in figuring out where this particular

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<v Speaker 1>storm is likely to move in the future. Some hurricane

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<v Speaker 1>models can be run in a few seconds on an

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<v Speaker 1>ordinary computer, while others may require hows of calculation by

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<v Speaker 1>a supercomputer. Spaghetti models have changed subtly over the years

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<v Speaker 1>as computing power has improved and researchers have tweaked their

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<v Speaker 1>models based on the great volumes of data we humans

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<v Speaker 1>have been able to gather thanks to computers. Leathers says

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<v Speaker 1>the approach has evolved as more and more hurricane models

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<v Speaker 1>are run in real time, and as technology has allowed

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<v Speaker 1>for putting these models together into a spaghetti plot in

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<v Speaker 1>a timely manner. He predicts that the number of models

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<v Speaker 1>and their sophistication is likely to continue to grow in

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<v Speaker 1>the years ahead. Today's episode were written by Patrick Jake

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<v Speaker 1>Hager and produced by Tyler. Playing brain Stuff is a

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<v Speaker 1>production of iHeart Radio's How Stuff Works. For more in

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<v Speaker 1>this and lots of other sustained topics, visit our home planet,

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