WEBVTT - TechStuff Classic: Weather Tech, Part 2

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<v Speaker 1>Welcome to tech Stuff, a production from iHeartRadio. Hey there,

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<v Speaker 1>and welcome to tech Stuff. I'm your host, Jonathan Strickland.

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<v Speaker 1>I'm an executive producer with iHeartRadio and how the tech

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<v Speaker 1>are you. It's Friday, so it's time for another classic episode.

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<v Speaker 1>This is the second part of a two parter called

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<v Speaker 1>weather Tech Part two. So if you didn't listen to

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<v Speaker 1>last week's classic episode of weather Tech Part one, I

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<v Speaker 1>recommend you do that. That would have been last Friday.

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<v Speaker 1>This episode originally published on April twenty first, two sixteen. Enjoy.

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<v Speaker 1>We are now going to join the podcast already in progress.

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<v Speaker 1>We were able to gather a lot of information once

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<v Speaker 1>we had those basic tools available to us. But what

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<v Speaker 1>really pushed meteorology forward is when we could stop relying

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<v Speaker 1>upon the data that we can gather here on the

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<v Speaker 1>ground and supplement that with information from the atmosphere itself.

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<v Speaker 1>And that brings us to weather balloons. Weather balloons more

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<v Speaker 1>than just fodder for your roswell conspiracy right right, Swamp

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<v Speaker 1>gas and weather balloons and weather balloons do more than

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<v Speaker 1>just act as a subplot in an X Files episode. Right, Yes,

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<v Speaker 1>They're very important. Yeah, so they carry instrumentation that collects

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<v Speaker 1>data about atmospheric conditions and weather balloons have been around

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<v Speaker 1>for a long time, but more recently they typically carry

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<v Speaker 1>instruments called radiosond, which is a battery powered device that

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<v Speaker 1>can measure altitude, atmospheric pressure, temperature, humidity, wind speed. Sometimes

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<v Speaker 1>there's a GPS element to it, so it can so

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<v Speaker 1>people on the ground can track where the weather balloon is.

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<v Speaker 1>Normally the you tether these devices. You don't just release

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<v Speaker 1>a weather balloon and say sea, but sometimes you know

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<v Speaker 1>you need to have that GPS element there too. And

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<v Speaker 1>getting this information from the atmosphere is really important because

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<v Speaker 1>it can tell you about how conditions may soon change

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<v Speaker 1>on the ground. It's pretty interesting actually to ever if

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<v Speaker 1>you've ever had a chance to look at some of

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<v Speaker 1>the data pulled from these, because you see how different

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<v Speaker 1>conditions in the atmosphere are compared to what we experience here,

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<v Speaker 1>including some pretty intense winds at higher altitudes. So we've

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<v Speaker 1>got all this information being collected, and before we get

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<v Speaker 1>into space, because that'll be the next step outward, I

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<v Speaker 1>wanted to talk a little bit about what we do

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<v Speaker 1>with all that data. One of the things we do

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<v Speaker 1>is we create databases that have all this information. So

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<v Speaker 1>that let's say that we have a day with pretty

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<v Speaker 1>nice weather, we collect all the information about that. What

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<v Speaker 1>was the atmospheric pressure, what is the temperature, how much

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<v Speaker 1>humidity was in the air, what was the wind speed,

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<v Speaker 1>were there any higher low pressure systems nearby? Were the

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<v Speaker 1>what kind of front had just moved through? All this

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<v Speaker 1>sort of information, we feed it all into a database.

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<v Speaker 1>Collecting that over and over and over again allows us

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<v Speaker 1>to build a better virtual understanding of how weather works, right,

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<v Speaker 1>and we can supplement that with more information as we

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<v Speaker 1>learn more about the weather. Then we would end up

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<v Speaker 1>using that to help us make some predictions about how

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<v Speaker 1>weather might be in the future. And to do that,

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<v Speaker 1>really we use computer models. Typically we would build what

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<v Speaker 1>was called a numerical weather prediction model, the NWP. So

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<v Speaker 1>this is really a model that's made up of a

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<v Speaker 1>bunch of different calculations that take all of the different

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<v Speaker 1>variables into account and tell you, based upon all the

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<v Speaker 1>variables available to us, here's what it looks like the

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<v Speaker 1>weather is going to be like in X amount of time. Right, So,

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<v Speaker 1>whenever we're talking about forecasts, obviously we have to worry

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<v Speaker 1>about what are the current conditions and how far out

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<v Speaker 1>are we trying to predict the weather? And on TV

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<v Speaker 1>you might see five or seven or even these days

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<v Speaker 1>sometimes ten. Yeah. Like if you go to weather dot com,

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<v Speaker 1>they have a ten day forecast, which I always think

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<v Speaker 1>is hilarious. And the reason I think it's hilarious is

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<v Speaker 1>here's how those predictions work. You take all the information

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<v Speaker 1>available to you, you run it through your computer model,

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<v Speaker 1>which factors in these different variables and gives you sort

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<v Speaker 1>of a percentage of probability of what your weather is

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<v Speaker 1>going to be like in the next let's say hour.

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<v Speaker 1>What if you want to look two hours ahead, Well,

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<v Speaker 1>then what they do is they take the prediction that

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<v Speaker 1>they made for an hour from now and extrapolate from there, saying, well,

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<v Speaker 1>if in fact the weather is what we think it's

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<v Speaker 1>going to be like in an hour, this is what

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<v Speaker 1>should look like two hours from now. Well, if you

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<v Speaker 1>want to look at three hours from now, well let's

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<v Speaker 1>take what the results were for two hours from now

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<v Speaker 1>and extrapolate again, and that's what we think it's going

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<v Speaker 1>to be three hours from now. Extend that out to

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<v Speaker 1>ten days. Yeah, and it's going to become less and

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<v Speaker 1>less reliable, Yes, because you're basing your predictions upon the

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<v Speaker 1>results of a previous set of predictions, not upon a

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<v Speaker 1>previous set of actual conditions. Right, So when you're tracing

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<v Speaker 1>it all the way back and your starting point is

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<v Speaker 1>right now, well, clearly, the further out we look, the

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<v Speaker 1>more unreliable the information is going to be, the more

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<v Speaker 1>likely some other variable that we have not anticipated will

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<v Speaker 1>play a larger role or a smaller role, and that

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<v Speaker 1>is going to affect the overall outcome of the of

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<v Speaker 1>what will actually happen. The forecast is the same, but

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<v Speaker 1>the actual thing we experience might be very different, which

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<v Speaker 1>is why if you're planning a picnic and you've got

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<v Speaker 1>ten days out from it and you're looking at the

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<v Speaker 1>weather and it says it's going to be absolutely perfect,

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<v Speaker 1>don't bet the house on it. Yes, that's not necessarily true.

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<v Speaker 1>Not to discredit numerical weather predictions, because a lot of

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<v Speaker 1>science and time goes into it. Yeah, but it's still

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<v Speaker 1>you know, It's the way that I see modern meteorology

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<v Speaker 1>is that over time we have continually built upon basically

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<v Speaker 1>what our ancestors did and just gotten it's gotten more scientific,

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<v Speaker 1>we've gotten better instruments, but it's still looking for patterns. Yeah,

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<v Speaker 1>exactly right. So you might look at the patterns of

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<v Speaker 1>when all of these conditions are in play. Out of

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<v Speaker 1>the last one hundred times that that happened, this is

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<v Speaker 1>how the weather turned out, and we're going to break

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<v Speaker 1>it down. So maybe eighty days out of those one

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<v Speaker 1>hundred days where the conditions were similar to today's, it

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<v Speaker 1>didn't rain at all. It was perfectly sunny, so eighty

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<v Speaker 1>out of one hundred it was lovely. The other twenty

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<v Speaker 1>days it rained and it was just steady rain, and

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<v Speaker 1>that's all there is to it. This is a super

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<v Speaker 1>oversimplified version of what could happen. This is what would

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<v Speaker 1>lead you to say there's a twenty percent chance of rain,

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<v Speaker 1>because he would say, all right, now, the last hundred

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<v Speaker 1>times the weather was exactly like it is today, twenty

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<v Speaker 1>of those times it rained, eighty of those times it

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<v Speaker 1>did not. Therefore, there is a twenty percent chance that

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<v Speaker 1>it will rain. That again is oversimplifying the way it works,

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<v Speaker 1>but generally speaking, that's kind of how they come to

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<v Speaker 1>those determinations, And in fact, there are ways of bolstering

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<v Speaker 1>the NWP by using something called model output statistics, which

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<v Speaker 1>is I kind of just talked about it a little bit.

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<v Speaker 1>I'll just go ahead and touch on it right now.

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<v Speaker 1>It's essentially doing what we were talking about, looking at

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<v Speaker 1>a specific region and the specific outcomes of days that

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<v Speaker 1>had similar conditions to the one you're looking at right now,

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<v Speaker 1>and then you're kind of making an educated guess based

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<v Speaker 1>upon a computer model and actual localized history. I got

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<v Speaker 1>that clear to something up for a lot of people.

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<v Speaker 1>I sure hope so because I've just kind of gone

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<v Speaker 1>with it. You know, I've just seen, oh, twenty percent

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<v Speaker 1>chance of rain, okay, and never really thought about what

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<v Speaker 1>goes into determining that. Well. And I know that there's

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<v Speaker 1>some people who had, you know, when they saw twenty

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<v Speaker 1>percent chance of rain, they thought it meant, oh, it's

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<v Speaker 1>going to rain over twenty percent of the forecast area,

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<v Speaker 1>which means that you know, that would be more like

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<v Speaker 1>scattered showers. That's really what scattered showers means. When you're

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<v Speaker 1>scattered showers, it means that parts of the forecast area

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<v Speaker 1>are expected to get rain, but it will not necessarily

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<v Speaker 1>rain over the entire forecast area. But if you hear

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<v Speaker 1>twenty percent chance of rain, it does not mean that

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<v Speaker 1>eighty percent of the forecast area is going to be

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<v Speaker 1>dry and the other twenty percent it's going to be wet.

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<v Speaker 1>Nor does it mean it will rain for twenty percent

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<v Speaker 1>of the day. In fact, that's part of the problem.

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<v Speaker 1>A prediction of precipitation, the good old pop, the pop

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<v Speaker 1>so pop. That requires a time element to it as well.

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<v Speaker 1>It doesn't mean anything without a time element. So if

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<v Speaker 1>you say there's a twenty percent chance to rain, you

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<v Speaker 1>also need to have an element of time attached to

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<v Speaker 1>that to make it meaningful. So twenty percent chance to

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<v Speaker 1>rain over the next six hours, then you know, all right,

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<v Speaker 1>So it's not saying that's going to be twenty percent

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<v Speaker 1>chance to rain or it's not gonna rain twenty percent

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<v Speaker 1>of the day, just that for the next six hours

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<v Speaker 1>there's a twenty percent chance it will be raining in

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<v Speaker 1>the forecast area. We will be back with more weather

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<v Speaker 1>technology after this quick break, so I hope that demystifies

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<v Speaker 1>some of it. Also, we can talk about radar. One

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<v Speaker 1>of my favorite things to talk about. Radar is awesome,

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<v Speaker 1>favorite character on mash me too. Yeah, well, I think

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<v Speaker 1>it's so adorable, right, Yeah, it's hard not to feel

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<v Speaker 1>for him, and the fact that he can anticipate everything

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<v Speaker 1>his commanding officer wants, and he can even say what

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<v Speaker 1>the commanding officer is saying before the commanding officer has

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<v Speaker 1>finished a sentence is obviously a key part of that operation.

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<v Speaker 1>But we're talking about actual radar, using radar to detect weather.

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<v Speaker 1>You've probably heard Doppler radar when looking at a weather report, like, well,

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<v Speaker 1>let's look at the Doppler radar and see where this

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<v Speaker 1>precipitation is moving in. Doppler radar for weather is different

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<v Speaker 1>from Doppler radar used by say, police officers, who are

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<v Speaker 1>trying to detect if you are speeding. The Doppler radar

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<v Speaker 1>that meteorologists use actually shoots out radio waves in very

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<v Speaker 1>short bursts called pulses, and then the radar listens for

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<v Speaker 1>any echoing pulses coming back to the antenna, and the

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<v Speaker 1>short pulses indicate not just the presence of something out there,

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<v Speaker 1>but whether it's moving and which direction is it moving in.

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<v Speaker 1>Is it moving toward the radar station or away from it.

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<v Speaker 1>If a Doppler radar receiver detect waves of a higher frequency,

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<v Speaker 1>the precipitation particles are moving toward the radar exactly, and

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<v Speaker 1>lower frequencies they're moving away. Yes, Because what's happening is

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<v Speaker 1>it's similar to a Doppler shift. And anyone who's ever

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<v Speaker 1>heard a vehicle with a siren go past yeah, is

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<v Speaker 1>familiar with this. It's a higher pitch as the vehicles

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<v Speaker 1>coming toward you, and a lower pitch as it's moving away.

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<v Speaker 1>What's actually happening is as a vehicle is moving toward you,

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<v Speaker 1>the sound waves it's emitting are being compressed. Now that

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<v Speaker 1>compression creates a higher frequency, which means we detect higher pitch.

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<v Speaker 1>As the vehicle passes, those frequencies are elongated, which means

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<v Speaker 1>a lower pitch. Same thing is true with the radar

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<v Speaker 1>accept Instead of it being a pitch, it's a radio frequency.

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<v Speaker 1>If so, a higher frequency will tell you, yeah, something's

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<v Speaker 1>coming towards you, and a lower frequency will tell you

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<v Speaker 1>something's moving away from you. And also the time between

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<v Speaker 1>when the pulse goes out and when you detect it

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<v Speaker 1>tells you the distance from the radar detection system and

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<v Speaker 1>the precipitation. So you could even say there's a storm

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<v Speaker 1>system that's five miles to the west, it's moving easterly

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<v Speaker 1>at this speed because you've detected it through a series

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<v Speaker 1>of pulses. If you have enough radar detection stations, you

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<v Speaker 1>can even describe the shape of the weather system and

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<v Speaker 1>talk about how some areas are more intense than others.

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<v Speaker 1>You can get all of that information from this approach,

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<v Speaker 1>and it's amazing how this thing works. First of all,

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<v Speaker 1>it's super high power. These radar stations are they're they're

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<v Speaker 1>generating or they're transmitting I should say, at four hundred

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<v Speaker 1>and fifty thousand watts. So your typical microwave oven is

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<v Speaker 1>a thousand watts. Wow, so you need a four hundred

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<v Speaker 1>and fifty of those to equal one of these radar systems.

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<v Speaker 1>So four and fifty thousand watts, and the pulse lasts

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<v Speaker 1>so short as to be unimaginable. It is point zero

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<v Speaker 1>zero zero zero zero one five seven seconds long, or

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<v Speaker 1>one point five seven times ten to the minus six seconds.

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<v Speaker 1>So if you hear the weatherman on TV bragging about

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<v Speaker 1>Doppler radar, there's a reason. It's very impressive. Yeah. I mean,

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<v Speaker 1>you're sitting at a burst of radio signals at such

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<v Speaker 1>a fraction of a second that it is again impossible

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<v Speaker 1>to even imagine. Meanwhile, then it listens for a longer period,

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<v Speaker 1>and by longer I mean relatively longer. It's still a

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<v Speaker 1>fraction of a second. It's point zero zero zero nine

0:14:05.520 --> 0:14:10.040
<v Speaker 1>nine eight four three seconds. So it shoots out a pulse,

0:14:10.800 --> 0:14:13.480
<v Speaker 1>listens for a little while, so it can detect when

0:14:13.520 --> 0:14:16.320
<v Speaker 1>the pulse comes back and what frequency it's at, so

0:14:16.360 --> 0:14:18.240
<v Speaker 1>it knows whether or not a body is moving toward

0:14:18.280 --> 0:14:20.880
<v Speaker 1>it or away from it, and then it does it again.

0:14:21.880 --> 0:14:24.280
<v Speaker 1>But that means, with that amount of time and the

0:14:25.360 --> 0:14:29.400
<v Speaker 1>comparatively large amount of time of listening, for every hour

0:14:29.680 --> 0:14:34.600
<v Speaker 1>of operation, the radio or the radar antenna is only

0:14:34.640 --> 0:14:39.360
<v Speaker 1>shooting out signals for seven seconds out of an entire hour. Wow,

0:14:39.680 --> 0:14:42.120
<v Speaker 1>that means for the fifty nine minutes fifty three seconds,

0:14:42.120 --> 0:14:44.160
<v Speaker 1>it is not sending out a signal. It is listening.

0:14:45.520 --> 0:14:50.160
<v Speaker 1>So for almost a full hour it's listening and only

0:14:50.200 --> 0:14:52.840
<v Speaker 1>for seven seconds is it actively shooting out a signal.

0:14:52.960 --> 0:14:55.200
<v Speaker 1>Can you mentioned it a conversation for someone who talks

0:14:55.200 --> 0:14:58.160
<v Speaker 1>seven seconds out of an hour, it would I any

0:14:58.200 --> 0:15:01.360
<v Speaker 1>conversation with me would last like a decade and before

0:15:01.400 --> 0:15:05.200
<v Speaker 1>you could get a word in edgewise. Yeah, it's it's

0:15:05.320 --> 0:15:08.680
<v Speaker 1>pretty amazing, and you usually would have one of these

0:15:08.880 --> 0:15:14.320
<v Speaker 1>stations shooting out these radio bursts at different angles of elevation.

0:15:14.480 --> 0:15:18.520
<v Speaker 1>These are called elevation slices, and when you go through

0:15:18.760 --> 0:15:22.360
<v Speaker 1>the entire range, you get what was called volume coverage

0:15:22.400 --> 0:15:25.640
<v Speaker 1>pattern or VCP, and that's what tells you what the

0:15:25.680 --> 0:15:29.600
<v Speaker 1>activity is, not just at ground level, but up in

0:15:29.640 --> 0:15:35.480
<v Speaker 1>the atmosphere as well. Toper radar can also detect tornadoes. Yeah. Yeah,

0:15:34.280 --> 0:15:38.400
<v Speaker 1>if if the particles switch from moving toward and then

0:15:38.480 --> 0:15:42.000
<v Speaker 1>away over a small distance, there's a good chance it

0:15:42.040 --> 0:15:45.000
<v Speaker 1>could be a tornado. Yeah, we know a lot about

0:15:45.040 --> 0:15:47.080
<v Speaker 1>those here in the southeast too. We get a lot

0:15:47.080 --> 0:15:50.800
<v Speaker 1>of tornadoes, not as many as places in the you know,

0:15:50.880 --> 0:15:54.000
<v Speaker 1>like in the Midwestern states, things like you know, Oklahoma

0:15:54.000 --> 0:15:56.640
<v Speaker 1>and stuff. I mean, you guys get tornadoes even more

0:15:56.680 --> 0:16:00.160
<v Speaker 1>frequently than we do, but we get them pretty serious.

0:16:00.760 --> 0:16:03.240
<v Speaker 1>Actually this year hasn't been too bad. No, but there

0:16:03.280 --> 0:16:06.160
<v Speaker 1>was one in November, yeah, which is weird because typically

0:16:06.160 --> 0:16:09.680
<v Speaker 1>we get them in the spring. Yes, usually between March

0:16:09.720 --> 0:16:14.120
<v Speaker 1>and June. That's kind of like our let's play it easy. Yeah,

0:16:14.200 --> 0:16:17.240
<v Speaker 1>but you don't wash that on anybody. So no, I

0:16:18.120 --> 0:16:22.680
<v Speaker 1>have been through a close call with a tornado while

0:16:22.720 --> 0:16:26.880
<v Speaker 1>wearing Renaissance Festival gear. That sounds surreal. That was my

0:16:27.120 --> 0:16:29.680
<v Speaker 1>final day when I did my first run at the

0:16:29.680 --> 0:16:33.480
<v Speaker 1>festival in two thousand and one. Wow. Yeah, we had

0:16:33.520 --> 0:16:36.240
<v Speaker 1>a really massive thunderstorm and at one point someone said

0:16:36.280 --> 0:16:39.760
<v Speaker 1>that there was a tornado a tornado watch, but not

0:16:39.840 --> 0:16:43.640
<v Speaker 1>a tornado warning watch, being that the conditions for a

0:16:43.640 --> 0:16:48.000
<v Speaker 1>tornado forming are present, warning being that a tornado has

0:16:48.040 --> 0:16:51.960
<v Speaker 1>actually been spotted in the region, in case you were wondering.

0:16:52.400 --> 0:16:55.480
<v Speaker 1>So now let's talk about satellites and meteorology. So the

0:16:55.520 --> 0:16:58.160
<v Speaker 1>computers are really good for building out those models and

0:16:58.200 --> 0:17:02.040
<v Speaker 1>giving us predictions. The double radars really good at tracking precipitation.

0:17:02.480 --> 0:17:07.159
<v Speaker 1>What do weather satellites do well, they're keeping an eye

0:17:07.600 --> 0:17:11.600
<v Speaker 1>on global weather patterns. But there are two different types

0:17:11.640 --> 0:17:15.159
<v Speaker 1>of weather satellites and they do this in different ways.

0:17:15.200 --> 0:17:20.200
<v Speaker 1>So one is the geostationary weather satellite. Now, geostationary weather

0:17:20.240 --> 0:17:24.919
<v Speaker 1>satellites maintain their relative position over a specific point on

0:17:24.920 --> 0:17:28.160
<v Speaker 1>the Earth. They are at a very high orbit over

0:17:28.240 --> 0:17:32.800
<v Speaker 1>the equator and they're always looking at the same thing

0:17:32.840 --> 0:17:36.480
<v Speaker 1>because their orbit is at the same speed as Earth's rotation,

0:17:37.640 --> 0:17:39.960
<v Speaker 1>not really the same speed, but relative speed. Because it's

0:17:40.000 --> 0:17:43.200
<v Speaker 1>able to stay in that same point over that part

0:17:43.280 --> 0:17:45.840
<v Speaker 1>of the Earth, and so they have to be on

0:17:45.920 --> 0:17:47.879
<v Speaker 1>an equatorial orbit and they have to be at a

0:17:47.880 --> 0:17:51.040
<v Speaker 1>particular altitude for this to work. It's great because it

0:17:51.080 --> 0:17:53.119
<v Speaker 1>means they can keep an eye on a specific region.

0:17:53.240 --> 0:17:56.800
<v Speaker 1>It's lousy because one, they're really far away, so the

0:17:56.840 --> 0:17:59.240
<v Speaker 1>instrumentation you have to put on the satellites has to

0:17:59.240 --> 0:18:03.080
<v Speaker 1>be incredibly sophisticated in order to get good readings from

0:18:03.119 --> 0:18:06.359
<v Speaker 1>that altitude. Plus they have a limited view, right, They're

0:18:06.359 --> 0:18:08.240
<v Speaker 1>always looking at one part of the Earth. They can't

0:18:08.280 --> 0:18:11.720
<v Speaker 1>see anything else outside of that view. Always geostationary yep.

0:18:12.200 --> 0:18:14.840
<v Speaker 1>So the other type you have are satellites that are

0:18:14.840 --> 0:18:18.480
<v Speaker 1>in a polar orbit around the Earth. Polar orbits are interesting.

0:18:18.560 --> 0:18:21.720
<v Speaker 1>So if you think of the Earth on its axis,

0:18:21.760 --> 0:18:25.840
<v Speaker 1>the polar orbit is going parallel to the axis of

0:18:25.880 --> 0:18:29.840
<v Speaker 1>the Earth. It's going perpendicular to the equator. So you

0:18:29.840 --> 0:18:32.200
<v Speaker 1>would think of it as going from north to south

0:18:32.240 --> 0:18:35.439
<v Speaker 1>and then south to north because once it crosses the

0:18:35.440 --> 0:18:38.080
<v Speaker 1>south pole, you can only go north at that point.

0:18:38.119 --> 0:18:41.280
<v Speaker 1>That's the only direction left to you, and it goes

0:18:41.280 --> 0:18:44.960
<v Speaker 1>in that circle, which means these satellites get a full

0:18:45.040 --> 0:18:48.440
<v Speaker 1>view of the entire Earth, because the Earth is rotating

0:18:48.520 --> 0:18:52.520
<v Speaker 1>while it's going in this orbit north south orbit. But

0:18:52.880 --> 0:18:55.760
<v Speaker 1>it also means that you only get a look at

0:18:55.840 --> 0:18:58.480
<v Speaker 1>the same part of the Earth twice in a twenty

0:18:58.480 --> 0:19:01.960
<v Speaker 1>four hour period, since once every twelve hours, you could

0:19:01.960 --> 0:19:04.359
<v Speaker 1>always put another satellite up there, and that way you

0:19:04.359 --> 0:19:08.399
<v Speaker 1>could get you put it on the opposite side of

0:19:08.440 --> 0:19:10.560
<v Speaker 1>the Earth where it's in the same orbit, and then

0:19:10.560 --> 0:19:13.120
<v Speaker 1>you get a look every six hours, just one from

0:19:13.160 --> 0:19:16.600
<v Speaker 1>one satellite and then six hours later one from another satellite.

0:19:17.240 --> 0:19:20.280
<v Speaker 1>But you also get to see everything on the planet,

0:19:20.359 --> 0:19:23.399
<v Speaker 1>So there's your trade off is that you get a

0:19:24.080 --> 0:19:27.600
<v Speaker 1>more comprehensive view, but you don't get a consistent view

0:19:27.880 --> 0:19:29.800
<v Speaker 1>of any one part of the Earth with these kind

0:19:29.840 --> 0:19:33.280
<v Speaker 1>of weather satellites. So a lot of weather surfaces depend

0:19:33.359 --> 0:19:36.000
<v Speaker 1>upon both, yeah, so it's good to have both, yeah.

0:19:36.280 --> 0:19:41.119
<v Speaker 1>And typically they carry devices called radiometers, which usually have

0:19:41.359 --> 0:19:44.840
<v Speaker 1>a small telescope or some sort of antenna, a scanning

0:19:44.840 --> 0:19:47.600
<v Speaker 1>device of some sort, and one or more detectors that

0:19:47.640 --> 0:19:51.080
<v Speaker 1>can pick up visible, infrared or microwave radiation, and they

0:19:51.200 --> 0:19:53.680
<v Speaker 1>use that to take measurements of the Earth and send

0:19:53.720 --> 0:19:57.439
<v Speaker 1>that down to the planet's surface, so that weather stations

0:19:57.480 --> 0:20:00.560
<v Speaker 1>around the world can take that data and crunch it

0:20:00.640 --> 0:20:03.000
<v Speaker 1>and figure out what the heck is going out on

0:20:03.080 --> 0:20:05.200
<v Speaker 1>out there when the frogs are raining from the sky

0:20:05.960 --> 0:20:11.080
<v Speaker 1>apart from amphibious assault, and all of those measurements are

0:20:11.080 --> 0:20:14.640
<v Speaker 1>actually done through little electrical voltages which then get digitized,

0:20:14.800 --> 0:20:18.320
<v Speaker 1>so transformed into digital information before transmitted down to Earth,

0:20:18.320 --> 0:20:21.440
<v Speaker 1>because you know, zapping electricity through space down to the planet,

0:20:21.440 --> 0:20:24.199
<v Speaker 1>it's not the most efficient way of getting information across

0:20:25.000 --> 0:20:26.760
<v Speaker 1>You certainly don't want to have a power chord stretch

0:20:26.800 --> 0:20:28.760
<v Speaker 1>all the way there. That would just be such a pain,

0:20:28.960 --> 0:20:32.480
<v Speaker 1>very inefficient. Yeah. Also with aircraft patterns. Yeah, and if

0:20:32.480 --> 0:20:35.200
<v Speaker 1>you don't have geostationary orbit, it gets wrapped up around

0:20:35.240 --> 0:20:40.240
<v Speaker 1>the planet pretty quickly. Yeah. We will conclude our two

0:20:40.320 --> 0:20:44.679
<v Speaker 1>part episode series about weather attack after this quick break.

0:20:54.280 --> 0:20:58.080
<v Speaker 1>So how do meteorologists do things like predict temperature, like

0:20:58.119 --> 0:21:00.800
<v Speaker 1>predict highs and lows and that kind of stuff? For

0:21:00.920 --> 0:21:03.480
<v Speaker 1>this I went to a website that was written by

0:21:03.520 --> 0:21:08.399
<v Speaker 1>a meteorologist named Jeff Haby, and boy howdy, did it

0:21:08.440 --> 0:21:11.439
<v Speaker 1>suddenly dawn on me how much more complicated this was

0:21:11.480 --> 0:21:15.600
<v Speaker 1>than I had even anticipated. But according to Haby, he

0:21:15.680 --> 0:21:22.520
<v Speaker 1>looks at everything from thermal advection, wind speed, cloud cover,

0:21:22.800 --> 0:21:25.960
<v Speaker 1>dew point, and the number of daylight hours expected for

0:21:26.040 --> 0:21:28.680
<v Speaker 1>that region in order to come up with the prediction

0:21:28.760 --> 0:21:30.240
<v Speaker 1>for the high temperature of the day in the low

0:21:30.280 --> 0:21:32.880
<v Speaker 1>temperature of the day. So what the heck does all

0:21:32.920 --> 0:21:36.879
<v Speaker 1>that mean? So thermal advection, what is that? That refers

0:21:36.920 --> 0:21:40.480
<v Speaker 1>to the transportation of heat by a moving fluid. So

0:21:40.520 --> 0:21:44.920
<v Speaker 1>typically the stuff that affects the advection include the strength

0:21:44.960 --> 0:21:48.119
<v Speaker 1>of wind, So how hard is the wind blowing in

0:21:48.160 --> 0:21:52.840
<v Speaker 1>that region? The temperature gradient between the warmer and colder areas.

0:21:53.000 --> 0:21:55.960
<v Speaker 1>So if one area is warmer than the other, is

0:21:55.960 --> 0:21:58.560
<v Speaker 1>it warmer by like a couple of degrees or is

0:21:58.560 --> 0:22:01.440
<v Speaker 1>it more significant than that is ten degrees fahrenheit, that

0:22:01.480 --> 0:22:06.159
<v Speaker 1>would be a much larger gradient, right, And the angle

0:22:06.240 --> 0:22:09.239
<v Speaker 1>between the wind direction and the temperature gradient, if that

0:22:09.480 --> 0:22:12.359
<v Speaker 1>angle is more narrow, you're going to see a greater

0:22:12.480 --> 0:22:17.000
<v Speaker 1>thermal advection, meaning you'll see more temperature changes moving into

0:22:17.040 --> 0:22:21.520
<v Speaker 1>an area from a different region. So that's just advection.

0:22:22.720 --> 0:22:25.399
<v Speaker 1>That's a lot of play. The other one that you

0:22:25.640 --> 0:22:28.320
<v Speaker 1>other term you might be a little confused by. I mean,

0:22:28.400 --> 0:22:31.560
<v Speaker 1>wind speed makes sense, cloudcover makes sense daylight hours. All

0:22:31.600 --> 0:22:34.199
<v Speaker 1>of that makes sense, but what about dew point? That

0:22:34.280 --> 0:22:36.960
<v Speaker 1>refers to the temperature at which air must be cooled

0:22:37.119 --> 0:22:42.000
<v Speaker 1>at constant barometric pressure for water vapor to condense. So

0:22:42.240 --> 0:22:45.040
<v Speaker 1>that temperature, again is dependent upon things like the actual

0:22:45.040 --> 0:22:49.680
<v Speaker 1>air pressure, right, and so the dew point changes based

0:22:49.720 --> 0:22:53.199
<v Speaker 1>upon those other factors as well. So all those have

0:22:53.280 --> 0:22:56.320
<v Speaker 1>to be taken into account before a meteorologist can forecast

0:22:56.359 --> 0:22:58.120
<v Speaker 1>what the temperature is going to be the next day.

0:22:58.160 --> 0:23:01.399
<v Speaker 1>This is why we're so happy to have those complicated

0:23:01.400 --> 0:23:04.600
<v Speaker 1>computers now, because if you were to keep track of

0:23:04.600 --> 0:23:08.320
<v Speaker 1>this yourself, you probably go bonkers. And then we have

0:23:08.440 --> 0:23:11.600
<v Speaker 1>like the idea of the probability of precipitation, which we

0:23:11.680 --> 0:23:14.320
<v Speaker 1>kind of talked about already, but generally speaking, there's some

0:23:14.359 --> 0:23:20.720
<v Speaker 1>weather services that will only predict rainfall if it's expected

0:23:20.720 --> 0:23:23.840
<v Speaker 1>to be over a certain amount, like point two five millimeters.

0:23:24.080 --> 0:23:26.480
<v Speaker 1>If it's going to be less than point two five millimeters,

0:23:26.560 --> 0:23:30.800
<v Speaker 1>it doesn't even register as rainfall in predictions. You would

0:23:30.800 --> 0:23:35.040
<v Speaker 1>say there's a zero percent chance or whatever, if that's

0:23:35.080 --> 0:23:38.200
<v Speaker 1>what you think is going to be the accumulation. Some

0:23:38.280 --> 0:23:41.800
<v Speaker 1>other ones are like, no any rain at all counts

0:23:42.760 --> 0:23:45.760
<v Speaker 1>if it's one drop of rain it rained in that region,

0:23:46.960 --> 0:23:51.239
<v Speaker 1>so it really depends upon the service. But that we

0:23:51.240 --> 0:23:53.719
<v Speaker 1>already talked about the percentages and what those means, so

0:23:53.760 --> 0:23:56.560
<v Speaker 1>hopefully that clears things up. And again that kind of

0:23:56.560 --> 0:24:00.560
<v Speaker 1>goes into that concept of model output statistics, where you

0:24:01.960 --> 0:24:05.800
<v Speaker 1>correct for your predictions based upon past conditions for a

0:24:05.800 --> 0:24:10.479
<v Speaker 1>particular region. All of this comes together to create the

0:24:10.520 --> 0:24:15.520
<v Speaker 1>weather report that you see. So I think the real

0:24:15.560 --> 0:24:22.760
<v Speaker 1>takeaway here is it's incredible the amount of schooling and

0:24:23.040 --> 0:24:26.320
<v Speaker 1>expertise a meteorologist has to have in order to do

0:24:26.400 --> 0:24:29.439
<v Speaker 1>his or her job properly. Yes, right, like, because you

0:24:29.440 --> 0:24:31.359
<v Speaker 1>see how complicated this is, and you start to have

0:24:31.400 --> 0:24:34.679
<v Speaker 1>an appreciation of all right, they said it was a

0:24:34.800 --> 0:24:37.399
<v Speaker 1>sixty percent chance of rain. I brought my umbrella and

0:24:37.520 --> 0:24:40.880
<v Speaker 1>never rained. Now you realize, well, when you're talking about

0:24:40.880 --> 0:24:45.240
<v Speaker 1>the system, this complicated and this unpredictable, something that can

0:24:45.320 --> 0:24:49.600
<v Speaker 1>change dramatically just because something you did not anticipate happened,

0:24:50.720 --> 0:24:54.119
<v Speaker 1>you start to appreciate more the challenge that they have

0:24:54.520 --> 0:24:58.320
<v Speaker 1>to do their jobs properly. So give your meteorologist a

0:24:58.440 --> 0:25:04.400
<v Speaker 1>hug and say thank you, because this stuff is hard. Yeah,

0:25:04.440 --> 0:25:07.960
<v Speaker 1>and my you know if weather is the state of

0:25:08.000 --> 0:25:10.800
<v Speaker 1>the atmosphere from day to day, and the atmosphere is

0:25:10.920 --> 0:25:15.480
<v Speaker 1>super complex, you know, it's it's my favorite analogy from

0:25:15.520 --> 0:25:21.520
<v Speaker 1>our article on our website about meteorologies, that the atmosphere

0:25:21.640 --> 0:25:25.240
<v Speaker 1>is like a soup with too many cooks. Yeah. Yeah,

0:25:25.240 --> 0:25:28.439
<v Speaker 1>there's a lot at play and so many different variables

0:25:28.520 --> 0:25:33.760
<v Speaker 1>are working behind the scenes to give you a simple

0:25:34.000 --> 0:25:38.119
<v Speaker 1>a simple weather forecast that is easily digestible. Yeah. This

0:25:38.240 --> 0:25:45.200
<v Speaker 1>is also why when you hear about supercomputers running weather simulations,

0:25:45.280 --> 0:25:47.760
<v Speaker 1>that's why you need a supercomputer because of this too

0:25:47.760 --> 0:25:50.280
<v Speaker 1>many cooks. I mean, it takes a lot to make

0:25:50.359 --> 0:25:54.040
<v Speaker 1>us stew. I hope, I hope at least some of

0:25:54.080 --> 0:25:58.240
<v Speaker 1>you are singing along now, But yeah, it's it really

0:25:58.280 --> 0:26:01.280
<v Speaker 1>does explain why you need that massive amount of computing

0:26:01.280 --> 0:26:03.280
<v Speaker 1>power just to do something that you would think would

0:26:03.280 --> 0:26:06.080
<v Speaker 1>be fairly simple. You know, you're thinking like, oh, it's

0:26:06.080 --> 0:26:08.879
<v Speaker 1>like six or seven factors, and then you realize, oh, wait, no,

0:26:08.960 --> 0:26:11.800
<v Speaker 1>there are these other things that also have an effect,

0:26:11.840 --> 0:26:15.760
<v Speaker 1>and in some cases a measurable and meaningful effect, not

0:26:15.880 --> 0:26:21.200
<v Speaker 1>just a potential effect. And it really does drive home

0:26:21.400 --> 0:26:26.640
<v Speaker 1>that it's amazing we can have relatively accurate weather predictions

0:26:26.640 --> 0:26:31.640
<v Speaker 1>in the first place. And also it makes me kind

0:26:31.680 --> 0:26:34.399
<v Speaker 1>of sad that I no longer I used to be

0:26:34.480 --> 0:26:38.159
<v Speaker 1>on television with a local weather guy. He did a

0:26:38.200 --> 0:26:41.440
<v Speaker 1>show at five thirty in the morning, and I would

0:26:41.440 --> 0:26:43.760
<v Speaker 1>show up on television and do a gadget segment with him,

0:26:43.800 --> 0:26:46.520
<v Speaker 1>and it was great. He was very nice, and his

0:26:46.560 --> 0:26:51.840
<v Speaker 1>ability to break down complicated concepts of weather in a

0:26:51.880 --> 0:26:55.040
<v Speaker 1>way that was helpful to people so that they could

0:26:55.080 --> 0:26:59.920
<v Speaker 1>plan their day was really amazing, especially when you start

0:27:00.040 --> 0:27:02.080
<v Speaker 1>really thinking about all the things that come into play

0:27:02.119 --> 0:27:06.680
<v Speaker 1>to make that, you know possible. So our hats are

0:27:06.680 --> 0:27:09.880
<v Speaker 1>off to you meteorologists out there, keep doing the good work.

0:27:10.560 --> 0:27:14.080
<v Speaker 1>I look forward to learning more about you know, when

0:27:14.160 --> 0:27:16.679
<v Speaker 1>we when we figure out even more details about the

0:27:16.680 --> 0:27:19.760
<v Speaker 1>complexities of the atmosphere and perhaps are able to make

0:27:19.800 --> 0:27:24.920
<v Speaker 1>even more accurate models, maybe we will one day reach

0:27:25.000 --> 0:27:29.080
<v Speaker 1>the back to the future too level where minute by

0:27:29.119 --> 0:27:31.720
<v Speaker 1>minute it tells you what the weather is going to be.

0:27:31.960 --> 0:27:34.240
<v Speaker 1>Of course, then I think they were actually suggesting that

0:27:34.280 --> 0:27:38.520
<v Speaker 1>we would have weather control, which is a whole other

0:27:38.560 --> 0:27:42.439
<v Speaker 1>thing that's opening and cannle worms. Yeah, I talked to

0:27:42.520 --> 0:27:45.800
<v Speaker 1>Dylan that I said I had thought about doing a

0:27:45.800 --> 0:27:49.840
<v Speaker 1>little discussion about weather control. But obviously we've gone pretty

0:27:49.880 --> 0:27:52.439
<v Speaker 1>long already. So what I will say about weather control

0:27:52.640 --> 0:27:56.920
<v Speaker 1>is weather systems represent a huge amount of energy, and

0:27:57.080 --> 0:28:02.359
<v Speaker 1>in order for us to affect or manufacture weather events

0:28:03.160 --> 0:28:05.520
<v Speaker 1>on a large scale, we would have to be able

0:28:05.560 --> 0:28:08.760
<v Speaker 1>to generate that amount of energy and pour it into

0:28:08.760 --> 0:28:11.720
<v Speaker 1>the atmosphere in a way that actually does what we

0:28:11.760 --> 0:28:14.600
<v Speaker 1>wanted to do. And we're so far away from any

0:28:14.680 --> 0:28:18.359
<v Speaker 1>of those things that it's absolutely unrealistic to think of

0:28:18.400 --> 0:28:21.080
<v Speaker 1>weather control, even if you are a Cobra commander. Yeah,

0:28:22.480 --> 0:28:24.640
<v Speaker 1>you know, going back to the beginning of this episode

0:28:24.640 --> 0:28:27.080
<v Speaker 1>with that listener request for this, and yeah, their father

0:28:27.240 --> 0:28:30.320
<v Speaker 1>said that in the sixties that they felt like the

0:28:30.400 --> 0:28:33.320
<v Speaker 1>weather report was just a joke. And you fast forward

0:28:33.400 --> 0:28:36.760
<v Speaker 1>to now and how you know, maybe some days you

0:28:36.800 --> 0:28:39.040
<v Speaker 1>grab an umbrella and you don't need it, but that

0:28:39.120 --> 0:28:43.200
<v Speaker 1>it's you know, you can track major weather patterns and

0:28:43.760 --> 0:28:47.440
<v Speaker 1>incoming storms. That we have a pretty good ability to

0:28:47.480 --> 0:28:51.960
<v Speaker 1>track hurricanes and like flash floods and things like that.

0:28:52.960 --> 0:28:56.200
<v Speaker 1>I can't imagine where I'll be in forty or fifty years. Yeah,

0:28:56.240 --> 0:29:00.800
<v Speaker 1>the fact that we can get at least heads up

0:29:00.800 --> 0:29:04.360
<v Speaker 1>on stuff before it becomes critical to us, is really important.

0:29:05.560 --> 0:29:09.000
<v Speaker 1>I mean, Dylan, you probably remember it wasn't that long

0:29:09.040 --> 0:29:13.560
<v Speaker 1>ago here in Atlanta when we had the snow apocalypse. Yes,

0:29:13.680 --> 0:29:16.440
<v Speaker 1>and because it was one of those things where the

0:29:16.480 --> 0:29:19.400
<v Speaker 1>initial weather report suggested that the weather was going to

0:29:19.440 --> 0:29:23.600
<v Speaker 1>miss the city and it didn't, that's an indication that, yeah,

0:29:23.600 --> 0:29:27.040
<v Speaker 1>our predictions are not one hundred percent accurate, they're not infallible.

0:29:27.920 --> 0:29:31.000
<v Speaker 1>And it also taught us a valuable lesson, which is

0:29:31.040 --> 0:29:35.239
<v Speaker 1>that even when you feel like there's a pretty good

0:29:35.360 --> 0:29:37.440
<v Speaker 1>chance that you're going to miss out on that bad weather,

0:29:37.840 --> 0:29:43.320
<v Speaker 1>it doesn't hurt to prepare because the alternative is to

0:29:43.360 --> 0:29:46.280
<v Speaker 1>spend eight hours on two eighty five, even if it

0:29:46.400 --> 0:29:49.640
<v Speaker 1>is an inch of snow, because it's Atlanta. Yeah, and

0:29:49.720 --> 0:29:51.840
<v Speaker 1>because we don't have a system in place to deal

0:29:51.880 --> 0:29:53.400
<v Speaker 1>with an inch of snow, and we got a lot

0:29:53.440 --> 0:29:56.720
<v Speaker 1>of hills. None of us have snow tires. Why would you?

0:29:57.000 --> 0:29:59.240
<v Speaker 1>And you let out the private in the public sector

0:29:59.280 --> 0:30:03.240
<v Speaker 1>at the same time, that was particularly bad. I remember

0:30:03.280 --> 0:30:06.480
<v Speaker 1>I actually stayed here, not here, but in our old

0:30:06.560 --> 0:30:10.560
<v Speaker 1>office location. I stayed there pretty much through the full

0:30:10.640 --> 0:30:12.760
<v Speaker 1>day because it was like, I'm gonna take Martha, I'm

0:30:12.760 --> 0:30:14.640
<v Speaker 1>gonna take the train. It's not gonna be a big deal.

0:30:15.040 --> 0:30:18.280
<v Speaker 1>It took me three hours to get home, usually would

0:30:18.280 --> 0:30:20.600
<v Speaker 1>take me forty five minutes, and I was getting I

0:30:20.640 --> 0:30:23.000
<v Speaker 1>got online, got ready to complain, and then I started

0:30:23.000 --> 0:30:24.960
<v Speaker 1>reading messages for my friends who were stuck in their

0:30:24.960 --> 0:30:27.360
<v Speaker 1>cars and had been for six hours. I thought, yeah, okay,

0:30:27.400 --> 0:30:30.560
<v Speaker 1>we're going to back away from the community slowly. Kids

0:30:30.600 --> 0:30:34.320
<v Speaker 1>stuck in school buses overnight. Yeah. Yeah, pretty rough stuff.

0:30:34.360 --> 0:30:38.360
<v Speaker 1>So yeah, we're We're not perfect, but it is getting better,

0:30:38.400 --> 0:30:40.640
<v Speaker 1>and it is pretty impressive to see the amount of

0:30:40.640 --> 0:30:43.680
<v Speaker 1>information you can get. I love, I mean I love.

0:30:43.720 --> 0:30:47.320
<v Speaker 1>I find watching Doppler radar readouts to be fascinating, Like

0:30:47.360 --> 0:30:50.280
<v Speaker 1>I could have that open on my desk all day

0:30:49.960 --> 0:30:52.040
<v Speaker 1>if I if I didn't have other stuff I need

0:30:52.040 --> 0:30:56.240
<v Speaker 1>to do. So Drees, thank you so much for sending

0:30:56.280 --> 0:30:58.440
<v Speaker 1>that request in. It's a lot of fun to kind

0:30:58.440 --> 0:31:00.360
<v Speaker 1>of read up on it and to go over Dylan,

0:31:00.400 --> 0:31:02.640
<v Speaker 1>thank you for joining me in the studio. Thanks for

0:31:02.680 --> 0:31:06.760
<v Speaker 1>having me greatly appreciate it. Well, that was it for WeatherTech,

0:31:06.840 --> 0:31:10.600
<v Speaker 1>at least from back in twenty sixteen. Again, I'll probably

0:31:10.720 --> 0:31:13.400
<v Speaker 1>need to do an update to this whenever I do

0:31:13.440 --> 0:31:18.040
<v Speaker 1>these classic episode intros naltros. I'm always reminded, Oh yeah,

0:31:18.080 --> 0:31:20.800
<v Speaker 1>I should really revisit this. This is one of those.

0:31:20.840 --> 0:31:23.760
<v Speaker 1>But if there are topics like new ones, or maybe

0:31:23.800 --> 0:31:26.400
<v Speaker 1>there's a topic you think I should revisit that I

0:31:26.440 --> 0:31:29.000
<v Speaker 1>haven't really talked about in a long time, you should

0:31:29.080 --> 0:31:30.880
<v Speaker 1>let me know. And there are a couple of different

0:31:30.880 --> 0:31:33.320
<v Speaker 1>ways of doing that. You can go to Twitter and

0:31:33.400 --> 0:31:36.400
<v Speaker 1>you can tweet to me. The show handle is tech

0:31:36.640 --> 0:31:41.920
<v Speaker 1>Stuff HSW or if you prefer to actually talk to me,

0:31:42.600 --> 0:31:46.320
<v Speaker 1>you can download the iHeartRadio app. It's free to downloads

0:31:46.320 --> 0:31:48.800
<v Speaker 1>free to use. You can navigate over to tech Stuff

0:31:48.800 --> 0:31:50.960
<v Speaker 1>by putting that into the little search field and you

0:31:51.000 --> 0:31:53.200
<v Speaker 1>will see on the tech Stuff podcast page there's a

0:31:53.240 --> 0:31:56.400
<v Speaker 1>little microphone icon. If you click on that icon, you

0:31:56.440 --> 0:31:58.920
<v Speaker 1>can leave a voice message up to thirty seconds in

0:31:59.000 --> 0:32:00.800
<v Speaker 1>length and let me know what you would like me

0:32:00.840 --> 0:32:03.520
<v Speaker 1>to talk about in the future, and I will talk

0:32:03.560 --> 0:32:12.400
<v Speaker 1>to you again really soon. Y text Stuff is an

0:32:12.400 --> 0:32:17.920
<v Speaker 1>iHeartRadio production. For more podcasts from iHeartRadio, visit the iHeartRadio app,

0:32:18.040 --> 0:32:21.240
<v Speaker 1>Apple Podcasts, or wherever you listen to your favorite shows.