WEBVTT - Weather Tech, Part 2

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<v Speaker 1>Technology with tex Stuff from Hastuff. Hey there, and welcome

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<v Speaker 1>to Tech Stuff. I am your host, Jonathan Strickland, and

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<v Speaker 1>now I'm going to bring you the exciting conclusion about

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<v Speaker 1>whether Technology Dylan has joined me for this episode. This

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<v Speaker 1>was a show that we recorded all in one go,

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<v Speaker 1>but it turned out to be too long for a

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<v Speaker 1>single episode, so we've broken it up and that means

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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 roswald uh concy right right,

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<v Speaker 1>swamp gas and weather balloons and uh, you know, weather

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<v Speaker 1>balloons do more than just act as a subplot in

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<v Speaker 1>an X Files episode. Right, Yes, They're very important. Yeah,

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<v Speaker 1>So they carry instrumentation that collects data about atmospheric conditions

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<v Speaker 1>and weather balloons have been around for a long time,

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<v Speaker 1>but more recently they typically carry instruments called radio SOND,

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<v Speaker 1>which is a bettery powered device that can measure altitude,

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<v Speaker 1>atmospheric pressure, temperature, humidity, wind speed. Sometimes there's a GPS

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<v Speaker 1>element to it, so it can so people on the

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<v Speaker 1>ground can track where the weather balloon is. Normally, the

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<v Speaker 1>you tether these devices. You don't just release a weather

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<v Speaker 1>balloon and say sia uh. But sometimes you know you

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<v Speaker 1>need to have that GPS element there too. And getting

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<v Speaker 1>this information from the atmosphere is really important because it

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<v Speaker 1>can tell you about how conditions may soon change on

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<v Speaker 1>the ground. Um. It's pretty interesting actually to ever if

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<v Speaker 1>you've ever had a chance to to look at some

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<v Speaker 1>of the data pulled from these because you you see

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<v Speaker 1>how different conditions in the atmosphere are compared to what

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<v Speaker 1>we experience here, including some pretty intense winds at higher altitudes. UM.

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<v Speaker 1>So we've got all this information being collected. Uh. And

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<v Speaker 1>before we get into space, because that'll be the next

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<v Speaker 1>step outward, I wanted to talk a little bit about

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<v Speaker 1>what we do with all that data. One of the

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<v Speaker 1>things we do is we create databases that have all

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<v Speaker 1>this information, so that let's say that we have a

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<v Speaker 1>day with pretty nice weather, we collect all the information

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<v Speaker 1>about that what was the atmospheric pressure, what was the temperature,

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<v Speaker 1>how much humidity was in the air, what was the

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<v Speaker 1>wind speed, were there any higher low pressure systems nearby?

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<v Speaker 1>What were the what kind of front had just moved through?

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<v Speaker 1>All this sort of information, we feed it all into

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<v Speaker 1>a database. Collecting that over and over and over again

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<v Speaker 1>allows us to build a better virtual understanding of how

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<v Speaker 1>weather works, right um, and we can supplement that with

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<v Speaker 1>more information as we learn more about the weather. Then

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<v Speaker 1>we would end up using that to help us make

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<v Speaker 1>some predictions about how weather weather it might be in

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<v Speaker 1>the future. And we to do that, really we use

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<v Speaker 1>computer models. Uh. Typically we would build what it's called

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<v Speaker 1>a numerical weather prediction model, the NWP. So this is

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<v Speaker 1>really a model that's made up of a bunch of

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<v Speaker 1>different calculations that take all of the different variables into

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<v Speaker 1>account and tell you, based upon all the variables available

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<v Speaker 1>to us, here's what it looks like the weather is

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<v Speaker 1>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 go to

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<v Speaker 1>weather dot com, they have a ten day forecast, which

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<v Speaker 1>I always think is hilarious. And the reason I think

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<v Speaker 1>it's hilarious is here's how those predictions work. You take

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<v Speaker 1>all the information available to you, You run it through

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<v Speaker 1>your computer model, which factors in these different variables and

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<v Speaker 1>gives you sort of a a percentage of probability of

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<v Speaker 1>what your weather is going to be like in the

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<v Speaker 1>next let's say hour. What if you want to look

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<v Speaker 1>two hours ahead, Well, then what they do is they

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<v Speaker 1>take the prediction that they made for an hour from

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<v Speaker 1>now and extrapolate from there, saying, well, if in fact

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<v Speaker 1>the weather is what we think it's going to be

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<v Speaker 1>like in an hour, this is what should look like

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<v Speaker 1>two hours from now. Well if you want to look

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<v Speaker 1>at three hours from now, well let's take what the

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<v Speaker 1>results were for two hours from now and extrapolate again,

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<v Speaker 1>and that's what we think it's going to be three

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<v Speaker 1>hours from now. Extend that out to ten days. Yeah,

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<v Speaker 1>and it's going to become less and less reliable, Yes,

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<v Speaker 1>because you're you're basing your predictions upon the results of

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<v Speaker 1>a previous set of predictions, not upon a previous set

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<v Speaker 1>of actual conditions. Right, So when you're tracing it all

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<v Speaker 1>the way back and you're starting point is right now, like, well, clearly,

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<v Speaker 1>the further out we look, the more unreliable the information

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<v Speaker 1>is going to be, the more likely some other variable

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<v Speaker 1>that we have not anticipated will play a larger role

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<v Speaker 1>or a smaller role. Uh, and that is going to

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<v Speaker 1>affect the overall outcome of the fourth of what will

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<v Speaker 1>actually happen. The forecast is the same, but the actual

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<v Speaker 1>thing we experience might be very different. Which is why

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<v Speaker 1>if you're planning a picnic and you've got ten days

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<v Speaker 1>out from it and you're looking at the weather and

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<v Speaker 1>it says it's going to be absolutely perfect, don't bet

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<v Speaker 1>the house on it. That's not necessarily true. Not to

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<v Speaker 1>discredit numerical weather predictions, because a lot of science and

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<v Speaker 1>time goes into it, but it's still you know, it's

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<v Speaker 1>it's the way that my I see modern meteorology is

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<v Speaker 1>that over time we have continually built upon basically what

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<v Speaker 1>our ancestors did, and it's gotten it's gotten more scientific,

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<v Speaker 1>we've gotten better instruments, uh, but it's still looking for

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<v Speaker 1>patterns yeah, exactly right. So you might look at the

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<v Speaker 1>patterns of when all of these conditions are in play.

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<v Speaker 1>Out of the last hundred times that that happened, this

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<v Speaker 1>is how the weather turned out. Uh, And we're gonna

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<v Speaker 1>break it down. So maybe eighty days out of those

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<v Speaker 1>one 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 eight

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<v Speaker 1>out of a 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 chance of rain, because

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<v Speaker 1>he would say, all right, now, the last hundred times

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<v Speaker 1>the weather was exactly like it is today, twenty of

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<v Speaker 1>those times it rained, eighty of those times it did not.

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<v Speaker 1>Therefore there is a twenty chance that it will rain.

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<v Speaker 1>That again is oversimplifying the way it works, but generally speaking,

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<v Speaker 1>that's kind of how they come to those determinations, and

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<v Speaker 1>in fact that there are ways of bolstering the NWP

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<v Speaker 1>by using something called model output statistics, which is I

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<v Speaker 1>kind of just talked about a little bit. I'll just

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<v Speaker 1>go ahead and touch on it right now. It's essentially

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<v Speaker 1>doing what we were talking about, looking at a specific

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<v Speaker 1>region and the specific outcomes of days that had emmeler

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<v Speaker 1>conditions to the one you're looking at right now, and

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<v Speaker 1>then you're kind of making an educated guess based upon

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<v Speaker 1>a computer model and actual localized history. But that clear

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<v Speaker 1>to something up for a lot of people. I sure

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<v Speaker 1>hope so, because I've just kind of gone with it,

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<v Speaker 1>you know, I've just seen chance of rain, okay, and

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<v Speaker 1>never really thought about what goes into determining that well.

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<v Speaker 1>And I know that there's some people who had, you know,

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<v Speaker 1>when they saw chance of rain, they thought it meant, oh,

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<v Speaker 1>it's going to rain over of the forecast area, which

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<v Speaker 1>means that you know that 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. Um. But if you

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<v Speaker 1>hear twenty percent chance of rain, it does not mean

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<v Speaker 1>that of the forecast area is going to be dry

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<v Speaker 1>and the other twenty percent is gonna be wet, Nor

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<v Speaker 1>does it mean it will rain for twenty of the day.

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<v Speaker 1>In fact, that's part of the problem, uh, a prediction

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<v Speaker 1>of precipitation, the good old pop, the pop so pop

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<v Speaker 1>that 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 chance to rain over

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<v Speaker 1>the next six hours, then you know, all right. So

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<v Speaker 1>it's not saying that's gonna be chance to rain or

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<v Speaker 1>it's gonna not gonna rain of the day, just that

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<v Speaker 1>for the next six hours there's a twenty percent chance

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<v Speaker 1>it will be raining in the forecast area. So I

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<v Speaker 1>hope that demystifies some of it. Also, we can talk

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<v Speaker 1>about Radar, one of my favorite things to talk about.

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<v Speaker 1>Radar is awesome, favorite character on nash Yeah, well, I

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<v Speaker 1>think it's so adorable, right, 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 for the commanding officer has

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<v Speaker 1>finished a sentence. Obviously a key part of that operation

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<v Speaker 1>um so, but we're talking about actual radar, using radar

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<v Speaker 1>to detect weather. You've probably heard Doppler radar when looking

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<v Speaker 1>at a weather report, like, well, let's look at the

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<v Speaker 1>Doppler radar and see where the this, this precipitation is

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<v Speaker 1>moving in. Doppler radar for weather is different from Doppler

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<v Speaker 1>radar used by say, police officers who are trying to

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<v Speaker 1>detect if you are speeding. The Doppler radar that meteorologists

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<v Speaker 1>use actually shoots out radio waves in very short bursts

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<v Speaker 1>called pulses, and then the radar listens for any echoing

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<v Speaker 1>pulses coming back to the antenna, and the short pulses

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<v Speaker 1>indicate not just the presence of something out there, but

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<v Speaker 1>whether it's moving and which direction is it moving in?

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<v Speaker 1>Um is it moving toward the radar station or away

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<v Speaker 1>from it? If a Doppler radar receiver detect waves of

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<v Speaker 1>a higher frequency, the precipitation particles are moving towards the

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<v Speaker 1>radar exactly, and lower frequencies they're moving away. Yes, because

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<v Speaker 1>what's happening is it's similar to a Doppler shift. And

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<v Speaker 1>and anyone who's ever heard a vehicle with a siren

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<v Speaker 1>go past is familiar with this. It's a higher pitch

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<v Speaker 1>as the vehicles coming toward you and a lower pitch

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<v Speaker 1>as it's moving away. What's actually happening is, as the

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<v Speaker 1>vehicle is moving towards you, the sound waves it's emitting

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<v Speaker 1>are being compressed. Now that compression creates a higher frequency,

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<v Speaker 1>which means we detect a higher pitch. As the vehicle passes,

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<v Speaker 1>those frequencies are elongated, which means a lower pitch. Same

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<v Speaker 1>thing is true with the radar accept Instead of it

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<v Speaker 1>being a pitch, it's a radio frequency. If so, a

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<v Speaker 1>higher frequency will tell you, yeah, something's coming towards you,

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<v Speaker 1>and a lower frequency will tell you something's moving away

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<v Speaker 1>from you. And also the time between when the pulse

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<v Speaker 1>goes out and when you detect it tells you the

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<v Speaker 1>distance from the radar detection system and the precipitation. So

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<v Speaker 1>you could even say there's a storm system that's five

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<v Speaker 1>miles to the west, it's moving easterly at this speed

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<v Speaker 1>because you've detected it through a series of pulses UH.

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<v Speaker 1>If you have enough radar detections UH stations, you can

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<v Speaker 1>even describe the shape of the weather system and talk

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<v Speaker 1>about how some areas are more intense than others. You

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<v Speaker 1>can get all of that information from this approach, and

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<v Speaker 1>it's amazing how this thing works. First of all, it's

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<v Speaker 1>super high power. Uh. These radar stations are are they're

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<v Speaker 1>they're generating or they're transmitting I should say at four

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<v Speaker 1>hundred fifty thousand watts. So your typical microwave oven is

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<v Speaker 1>a thousand watts, So you need a four hundred and

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<v Speaker 1>fifty of those to equal one of these radar systems.

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<v Speaker 1>So four and fifty thou wats. 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 seven seconds long, or one point

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<v Speaker 1>five seven times ten to the minus six seconds. So

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<v Speaker 1>if you hear the weather man on TV bragging about

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<v Speaker 1>Doppler radar, there's a reason. It's very impressive. Yeah. I

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<v Speaker 1>mean you're sitting at a a burst of radio signals

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<v Speaker 1>at such a fraction of a second that it is

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<v Speaker 1>again impossible to even imagine. Meanwhile, then it listens for

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<v Speaker 1>a longer period, and by longer I mean relatively longer.

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<v Speaker 1>It's still a fraction of a second. It's point zero

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<v Speaker 1>zero zero four three seconds. So it shoots out a

0:13:45.360 --> 0:13:48.720
<v Speaker 1>pulse listens for a little while, so I can detect

0:13:48.920 --> 0:13:51.880
<v Speaker 1>when the pulse comes back and what frequency it's at,

0:13:51.880 --> 0:13:53.600
<v Speaker 1>so it knows whether or not a body is moving

0:13:53.600 --> 0:13:56.040
<v Speaker 1>toward it or away from it, and then it does

0:13:56.080 --> 0:13:59.240
<v Speaker 1>it again. But that means with that amount of time

0:13:59.600 --> 0:14:03.480
<v Speaker 1>and the the comparatively large amount of time of listening,

0:14:04.160 --> 0:14:09.480
<v Speaker 1>for every hour of operation, the radio or the radar

0:14:09.520 --> 0:14:13.319
<v Speaker 1>antenna is only shooting out signals for seven seconds out

0:14:13.320 --> 0:14:16.600
<v Speaker 1>of an entire hour. That means for the fifty nine

0:14:16.600 --> 0:14:19.000
<v Speaker 1>minutes fifty three seconds, it is not sending out a signal.

0:14:19.040 --> 0:14:24.960
<v Speaker 1>It is listening. So for almost a full hour it's listening,

0:14:25.040 --> 0:14:28.160
<v Speaker 1>and only for seven seven seconds is actively shooting out

0:14:28.160 --> 0:14:32.280
<v Speaker 1>a signal. A conversation for someone who talks seven seconds,

0:14:32.320 --> 0:14:35.240
<v Speaker 1>it would I any conversation with me would last like

0:14:35.280 --> 0:14:39.720
<v Speaker 1>a decade before you could get a word in edgewise. Yeah,

0:14:39.880 --> 0:14:43.680
<v Speaker 1>it's uh, it's pretty amazing. And you usually would have

0:14:43.760 --> 0:14:48.080
<v Speaker 1>one of these stations shooting out these radio bursts at

0:14:48.240 --> 0:14:52.400
<v Speaker 1>different angles of elevation. These are called elevation slices, and

0:14:52.480 --> 0:14:56.360
<v Speaker 1>when you go through the entire range, you get what

0:14:56.480 --> 0:15:00.360
<v Speaker 1>was called volume coverage pattern or vc P. That's what

0:15:00.440 --> 0:15:04.360
<v Speaker 1>tells you what the activity is, not just at ground level,

0:15:04.640 --> 0:15:07.480
<v Speaker 1>but up in the atmosphere as well. Toppler radar can

0:15:07.520 --> 0:15:11.880
<v Speaker 1>also detect tornadoes. Yeah. Yeah, if if, if the particles

0:15:11.920 --> 0:15:16.800
<v Speaker 1>switch from moving toward and then away over a small distance, uh,

0:15:16.840 --> 0:15:19.840
<v Speaker 1>there's a good chance it could be a tornado. Yeah,

0:15:19.840 --> 0:15:22.080
<v Speaker 1>we know a lot about those. Here in the southeast too.

0:15:22.240 --> 0:15:24.200
<v Speaker 1>We get a lot of tornadoes, not as many as

0:15:24.240 --> 0:15:28.360
<v Speaker 1>places in the uh, you know, like in the Midwestern States,

0:15:28.400 --> 0:15:30.640
<v Speaker 1>things like you know, Oklahoma and stuff, and you guys

0:15:30.640 --> 0:15:33.920
<v Speaker 1>get tornadoes even more frequently than we do, but we

0:15:34.000 --> 0:15:38.320
<v Speaker 1>get them pretty seriously. Actually this year hasn't been too bad,

0:15:38.640 --> 0:15:41.160
<v Speaker 1>but there was one in November, yeah, which is weird

0:15:41.200 --> 0:15:44.080
<v Speaker 1>because typically we get them in the spring. Yes, um,

0:15:44.200 --> 0:15:47.080
<v Speaker 1>usually between March and June. That's kind of like our

0:15:47.800 --> 0:15:50.640
<v Speaker 1>let's play it easy. Yeah, but you don't waste that

0:15:50.720 --> 0:15:55.200
<v Speaker 1>on anybody, So no, I have. I have been through

0:15:55.320 --> 0:16:00.280
<v Speaker 1>a close call with a tornado while wearing Renaissance festival year.

0:16:01.000 --> 0:16:04.240
<v Speaker 1>That sounds surreal. That was my final day when I

0:16:04.280 --> 0:16:08.640
<v Speaker 1>did my first run at the festival in two thousand one. Yeah,

0:16:08.800 --> 0:16:11.360
<v Speaker 1>we had a really massive thunderstorm and at one point

0:16:11.400 --> 0:16:15.000
<v Speaker 1>someone said that there was a tornado a tornado watch,

0:16:15.160 --> 0:16:18.880
<v Speaker 1>but not a tornado warning watch, being that the conditions

0:16:18.920 --> 0:16:23.000
<v Speaker 1>for a tornado forming. Our present warning being that a

0:16:23.040 --> 0:16:26.840
<v Speaker 1>tornado has actually been spotted in the region, in case

0:16:26.880 --> 0:16:30.880
<v Speaker 1>you were wondering. So now let's talk about satellites and meteorology.

0:16:30.920 --> 0:16:33.200
<v Speaker 1>So the computers are really good for building out those

0:16:33.240 --> 0:16:36.320
<v Speaker 1>models and giving us predictions. The double radars really good

0:16:36.320 --> 0:16:40.920
<v Speaker 1>at tracking precipitation. What do weather satellites do, Uh, well,

0:16:40.960 --> 0:16:45.720
<v Speaker 1>they're they're keeping an eye on global weather patterns. But

0:16:45.920 --> 0:16:49.560
<v Speaker 1>there are two different types of weather satellites and they

0:16:49.600 --> 0:16:53.040
<v Speaker 1>do this in different ways. So one is the geostationary

0:16:53.080 --> 0:16:58.080
<v Speaker 1>weather satellite. Now, geo stationary weather satellites maintain their relative

0:16:58.080 --> 0:17:01.560
<v Speaker 1>position over a specific point on the Earth. They are

0:17:01.640 --> 0:17:06.320
<v Speaker 1>at a very high orbit over the equator, and they

0:17:06.720 --> 0:17:09.439
<v Speaker 1>they're always looking at the same thing because their orbit

0:17:09.560 --> 0:17:13.399
<v Speaker 1>is at the same speed as Earth's rotation um not

0:17:13.480 --> 0:17:15.880
<v Speaker 1>really the same speed, but relative speed because it's able

0:17:15.920 --> 0:17:18.960
<v Speaker 1>to stay in that same point over that part of

0:17:19.000 --> 0:17:21.720
<v Speaker 1>the Earth. And so they have to be on an

0:17:21.720 --> 0:17:23.920
<v Speaker 1>equatorial orbit and they have to be at a particular

0:17:23.960 --> 0:17:26.880
<v Speaker 1>altitude for this to work. It's great because it means

0:17:26.880 --> 0:17:29.080
<v Speaker 1>they can keep an eye on a specific region. It's

0:17:29.160 --> 0:17:33.240
<v Speaker 1>lousy because one they're really far away, so the instrumentation

0:17:33.280 --> 0:17:35.040
<v Speaker 1>you have to put on the satellites has to be

0:17:35.160 --> 0:17:39.560
<v Speaker 1>incredibly sophisticated in order to get good readings from that altitude.

0:17:40.160 --> 0:17:42.639
<v Speaker 1>Plus they have a limited view, right, They're always looking

0:17:42.640 --> 0:17:44.479
<v Speaker 1>at one part of the Earth. They can't see anything

0:17:44.480 --> 0:17:48.679
<v Speaker 1>else outside of that view. So the other type you

0:17:48.720 --> 0:17:51.920
<v Speaker 1>have are satellites they are in a polar orbit around

0:17:51.960 --> 0:17:55.359
<v Speaker 1>the Earth. Polar orbits are interesting. So if you think

0:17:55.400 --> 0:17:59.040
<v Speaker 1>of the Earth on its axis, the polar orbit is

0:17:59.040 --> 0:18:02.480
<v Speaker 1>going parallel to the axis of the Earth. It's going

0:18:02.520 --> 0:18:06.040
<v Speaker 1>perpendicular to the equator, so you would think of it

0:18:06.080 --> 0:18:08.960
<v Speaker 1>as going from north to south and then south to

0:18:09.080 --> 0:18:12.320
<v Speaker 1>north because once it crosses the south pole, you can

0:18:12.359 --> 0:18:14.840
<v Speaker 1>only go north at that point, that's the only direction

0:18:14.920 --> 0:18:17.600
<v Speaker 1>left to you. UM, and it goes in that circle,

0:18:17.640 --> 0:18:21.560
<v Speaker 1>which means these satellites get a full view of the

0:18:21.800 --> 0:18:25.080
<v Speaker 1>entire Earth because the Earth is rotating while it's going

0:18:25.080 --> 0:18:29.040
<v Speaker 1>in this orbit north south orbit UM. But it also

0:18:29.080 --> 0:18:31.920
<v Speaker 1>means that you only get a look at the same

0:18:31.960 --> 0:18:34.800
<v Speaker 1>part of the Earth twice in a twenty four hour period,

0:18:35.000 --> 0:18:38.040
<v Speaker 1>since once every twelve hours. UM. You can always put

0:18:38.040 --> 0:18:40.480
<v Speaker 1>another satellite up there, and that way you could get

0:18:40.800 --> 0:18:43.960
<v Speaker 1>you know, put it on the the opposite uh side

0:18:43.960 --> 0:18:46.040
<v Speaker 1>of the Earth where it's in the same orbit, and

0:18:46.080 --> 0:18:48.520
<v Speaker 1>then you get a look every six hours, just one

0:18:48.600 --> 0:18:51.359
<v Speaker 1>from one satellite and then six hours later one from

0:18:51.400 --> 0:18:54.879
<v Speaker 1>another satellite. But you also get to see everything on

0:18:55.000 --> 0:18:58.800
<v Speaker 1>the planet. So there's your trade off is that you

0:18:58.840 --> 0:19:01.600
<v Speaker 1>get you get a more conference of view, but you

0:19:01.640 --> 0:19:04.560
<v Speaker 1>don't get a consistent view of any one part of

0:19:04.560 --> 0:19:06.439
<v Speaker 1>the Earth with these kind of weather sellites. So a

0:19:06.480 --> 0:19:12.080
<v Speaker 1>lot of of weather services depend upon both yeah, and

0:19:12.119 --> 0:19:17.080
<v Speaker 1>typically they carry devices called radiometers, which usually have a

0:19:17.119 --> 0:19:20.840
<v Speaker 1>small telescope or some sort of antenna, a scanning device

0:19:20.920 --> 0:19:23.399
<v Speaker 1>of some sort, and one or more detectors that can

0:19:23.400 --> 0:19:26.960
<v Speaker 1>pick up visible, infrared or microwave radiation, and they use

0:19:27.040 --> 0:19:29.439
<v Speaker 1>that to take measurements of the Earth and send that

0:19:29.520 --> 0:19:33.399
<v Speaker 1>down to the planet's surface so that weather stations around

0:19:33.400 --> 0:19:36.399
<v Speaker 1>the world can take that data and crunch it and

0:19:36.440 --> 0:19:38.880
<v Speaker 1>figure out what the heck is going out on out

0:19:38.920 --> 0:19:41.919
<v Speaker 1>there when the frogs are raining from the sky. Apart

0:19:41.960 --> 0:19:46.720
<v Speaker 1>from amphibious assault UM, and all of those measurements are

0:19:46.720 --> 0:19:50.359
<v Speaker 1>actually done through little electrical voltages which then get digitized,

0:19:50.440 --> 0:19:53.960
<v Speaker 1>so transformed into digital information before transmitted down to Earth,

0:19:53.960 --> 0:19:56.840
<v Speaker 1>because you know, zapping electricity through space down to the

0:19:56.840 --> 0:20:00.520
<v Speaker 1>planet's not the most efficient way of getting information across UM.

0:20:00.560 --> 0:20:02.080
<v Speaker 1>And he certainly don't want to have a power chord

0:20:02.119 --> 0:20:04.080
<v Speaker 1>stretch all the way there. That would just be such

0:20:04.119 --> 0:20:08.400
<v Speaker 1>a pain. Yeahs with aircraft patterns, and if you don't

0:20:08.400 --> 0:20:11.360
<v Speaker 1>have geostationary orbit, it gets wrapped up around the planet

0:20:11.359 --> 0:20:16.320
<v Speaker 1>pretty quickly. Yeah, So how do meteorologists do things like

0:20:16.400 --> 0:20:19.679
<v Speaker 1>predict temperature, like predict highs and lows and that kind

0:20:19.720 --> 0:20:22.479
<v Speaker 1>of stuff. For this I went to a website that

0:20:22.560 --> 0:20:27.800
<v Speaker 1>was written by a meteorologist named Jeff Haby And boy, howdy,

0:20:27.920 --> 0:20:30.840
<v Speaker 1>did it suddenly dawn on me how much more complicated

0:20:30.880 --> 0:20:35.080
<v Speaker 1>this was than I had even anticipated. But according to Haby, uh,

0:20:35.240 --> 0:20:41.400
<v Speaker 1>he looks at everything from um thermal advection, wind speed,

0:20:41.520 --> 0:20:45.120
<v Speaker 1>cloud cover, de point, and the number of daylight hours

0:20:45.119 --> 0:20:47.520
<v Speaker 1>expected for that region in order to come up with

0:20:47.920 --> 0:20:49.760
<v Speaker 1>the prediction for the high temperature of the day in

0:20:49.760 --> 0:20:52.280
<v Speaker 1>the low temperature of the day. So, what the heck

0:20:52.320 --> 0:20:56.200
<v Speaker 1>does all that mean? So thermal infection, what is that

0:20:56.200 --> 0:20:59.520
<v Speaker 1>that refers to the transportation of heat by a moving fluid.

0:21:00.160 --> 0:21:04.280
<v Speaker 1>So typically the stuff that affects the infection include the

0:21:04.320 --> 0:21:07.800
<v Speaker 1>strength of wind, So how hard is the wind blowing

0:21:07.800 --> 0:21:11.639
<v Speaker 1>in that region? The temperature gradient between the warmer and

0:21:11.680 --> 0:21:15.480
<v Speaker 1>colder areas, So if one area is warmer than the other,

0:21:15.680 --> 0:21:18.199
<v Speaker 1>is it warmer by like a couple of degrees or

0:21:18.280 --> 0:21:20.960
<v Speaker 1>is it more significant than that, is, like ten degrees fahrenheit,

0:21:21.160 --> 0:21:25.520
<v Speaker 1>That would be a much larger gradient, right, And the

0:21:25.600 --> 0:21:28.880
<v Speaker 1>angle between the wind direction and the temperature gradient, If

0:21:28.920 --> 0:21:31.840
<v Speaker 1>that angle is more narrow, you're going to see a

0:21:31.840 --> 0:21:36.399
<v Speaker 1>greater thermal infection, meaning you'll see more temperature changes moving

0:21:36.440 --> 0:21:41.280
<v Speaker 1>into an area from a different region. So that's just infection,

0:21:42.520 --> 0:21:45.200
<v Speaker 1>that's all I play. Uh, the other one that you

0:21:45.440 --> 0:21:48.120
<v Speaker 1>other term you might be a little confused by. I mean,

0:21:48.160 --> 0:21:51.200
<v Speaker 1>wind speed makes sense, cloud cover makes sense, daylight hours,

0:21:51.240 --> 0:21:52.960
<v Speaker 1>All of that makes sense. But what about do point?

0:21:53.880 --> 0:21:56.119
<v Speaker 1>That refers to the temperature at which air must be

0:21:56.240 --> 0:22:00.480
<v Speaker 1>cooled at constant barometric pressure for water vapor to and dense.

0:22:01.520 --> 0:22:04.400
<v Speaker 1>So that temperature again has depended upon things like the

0:22:04.440 --> 0:22:08.560
<v Speaker 1>actual air pressure right um, and so the dow point

0:22:08.640 --> 0:22:12.640
<v Speaker 1>changes based upon those other factors as well. So all

0:22:12.680 --> 0:22:15.400
<v Speaker 1>those have to be taken into account before a meteorologist

0:22:15.440 --> 0:22:17.439
<v Speaker 1>can forecast what the temperature is going to be the

0:22:17.480 --> 0:22:20.320
<v Speaker 1>next day. This is why we're so happy to have

0:22:20.400 --> 0:22:24.080
<v Speaker 1>those complicated computers now, because if you were to keep

0:22:24.080 --> 0:22:27.800
<v Speaker 1>track of this yourself, you probably go bonkers. And then

0:22:27.800 --> 0:22:31.080
<v Speaker 1>we have like the idea of the the probability of precipitation,

0:22:31.080 --> 0:22:33.640
<v Speaker 1>which we kind of talked about already, but generally speaking,

0:22:33.720 --> 0:22:39.680
<v Speaker 1>there's some weather services that will only predict rainfall if

0:22:39.800 --> 0:22:42.480
<v Speaker 1>it's expected to be over a certain amount, like point

0:22:42.520 --> 0:22:44.960
<v Speaker 1>to five millimeters. If it's going to be less than

0:22:45.000 --> 0:22:49.520
<v Speaker 1>point to five millimeters, it doesn't even register as rainfall

0:22:49.600 --> 0:22:52.439
<v Speaker 1>in predictions. You would say there's a zero percent chance

0:22:52.600 --> 0:22:55.600
<v Speaker 1>or or whatever, if that's what you think is going

0:22:55.640 --> 0:22:58.800
<v Speaker 1>to be the the accumulation. Some other ones are like,

0:22:58.840 --> 0:23:03.480
<v Speaker 1>no any rain at all counts. If it's one drop

0:23:03.520 --> 0:23:06.480
<v Speaker 1>of rain it rained in that in that region. Um

0:23:06.760 --> 0:23:10.800
<v Speaker 1>so it really depends upon the service. But uh that

0:23:10.920 --> 0:23:13.360
<v Speaker 1>we already talked about the percentages and what those means,

0:23:13.400 --> 0:23:16.200
<v Speaker 1>so hopefully that clears things up. And again that kind

0:23:16.240 --> 0:23:20.240
<v Speaker 1>of goes into that concept of model output statistics, where

0:23:20.320 --> 0:23:25.400
<v Speaker 1>you you correct for your predictions based upon past conditions

0:23:25.400 --> 0:23:29.159
<v Speaker 1>for a particular region. All of this comes together to

0:23:29.320 --> 0:23:34.480
<v Speaker 1>create the weather report that you see. So I think

0:23:34.560 --> 0:23:38.879
<v Speaker 1>I think the real takeaway here is it's incredible the

0:23:38.920 --> 0:23:45.280
<v Speaker 1>amount of of schooling and expertise a meteorologist has to

0:23:45.320 --> 0:23:47.400
<v Speaker 1>have in order to do his or her job properly,

0:23:48.240 --> 0:23:50.600
<v Speaker 1>right like, because you see how complicated this is, and

0:23:50.600 --> 0:23:53.720
<v Speaker 1>you start to have an appreciation of all right, and

0:23:53.800 --> 0:23:56.159
<v Speaker 1>they said it was a six chance of rain, I

0:23:56.200 --> 0:24:00.000
<v Speaker 1>brought my umbrella and never rained. Now you realize, well,

0:24:00.000 --> 0:24:03.720
<v Speaker 1>when you're talking about the system this complicated and this unpredictable,

0:24:04.280 --> 0:24:08.240
<v Speaker 1>something that can change dramatically just because something you did

0:24:08.240 --> 0:24:13.320
<v Speaker 1>not anticipate happened, you start to appreciate more the challenge

0:24:13.400 --> 0:24:17.000
<v Speaker 1>that they have to do their jobs properly. So give

0:24:17.040 --> 0:24:21.880
<v Speaker 1>your meteorologist a hug and say thank you because this

0:24:21.920 --> 0:24:26.680
<v Speaker 1>stuff is hard. Yeah, and my you know, if weather

0:24:26.880 --> 0:24:29.280
<v Speaker 1>is the state of the atmosphere from day to day,

0:24:29.280 --> 0:24:33.600
<v Speaker 1>and the atmosphere is super complex, you know it's it's

0:24:33.680 --> 0:24:38.160
<v Speaker 1>my favorite analogy from our our article on our website,

0:24:38.359 --> 0:24:42.119
<v Speaker 1>UM about meteorology is that the atmosphere is like a

0:24:42.320 --> 0:24:45.640
<v Speaker 1>soup with too many cooks. Yeah, yeah, there's a lot

0:24:45.720 --> 0:24:51.119
<v Speaker 1>at play, and so many different variables are working behind

0:24:51.160 --> 0:24:55.160
<v Speaker 1>the scenes to give you a simple, a simple weather

0:24:55.240 --> 0:24:58.720
<v Speaker 1>forecast that is easily digestible. Yeah. This is also why

0:24:58.880 --> 0:25:04.960
<v Speaker 1>when you hear about uh uh supercomputers running weather simulations,

0:25:05.040 --> 0:25:07.520
<v Speaker 1>that's why you need a supercomputer because of this. Too

0:25:07.560 --> 0:25:10.080
<v Speaker 1>many cooks. I mean, it takes a lot to make

0:25:10.119 --> 0:25:13.840
<v Speaker 1>us stew. I hope, I hope at least some of

0:25:13.880 --> 0:25:17.159
<v Speaker 1>you are singing along now. Um. But yeah, it's it

0:25:17.760 --> 0:25:20.639
<v Speaker 1>really does explain why you need that massive amount of

0:25:20.680 --> 0:25:22.760
<v Speaker 1>computing power just to do something that you would think

0:25:22.840 --> 0:25:25.640
<v Speaker 1>would be fairly simple. You know, you're thinking like, oh,

0:25:25.680 --> 0:25:28.639
<v Speaker 1>it's like six or seven factors, and you realize, oh, wait, no,

0:25:28.760 --> 0:25:31.600
<v Speaker 1>there are these other things that also have an effect,

0:25:31.640 --> 0:25:35.560
<v Speaker 1>and in some cases a measurable and meaningful effect, not

0:25:35.680 --> 0:25:40.680
<v Speaker 1>just a potential effect. Um. And it really does drive

0:25:40.720 --> 0:25:45.920
<v Speaker 1>home that it's amazing we can have relatively accurate weather

0:25:45.960 --> 0:25:50.680
<v Speaker 1>predictions in the first place. Um. And also it makes

0:25:50.720 --> 0:25:53.960
<v Speaker 1>me kind of sad that I no longer I used

0:25:53.960 --> 0:25:57.240
<v Speaker 1>to be on television with a local weather guy. He

0:25:57.680 --> 0:26:00.919
<v Speaker 1>did a show at five thirty in the morning, and

0:26:00.960 --> 0:26:02.800
<v Speaker 1>I would show up on television and do a Gadget

0:26:02.840 --> 0:26:05.440
<v Speaker 1>segment with him, and it was great. He was very nice,

0:26:05.720 --> 0:26:10.800
<v Speaker 1>and his ability to break down complicated concepts of weather

0:26:11.400 --> 0:26:14.320
<v Speaker 1>in a way that was helpful to people so that

0:26:14.400 --> 0:26:19.000
<v Speaker 1>they could plan their day was really amazing, especially when

0:26:19.000 --> 0:26:21.200
<v Speaker 1>you you start really thinking about all the things that

0:26:21.280 --> 0:26:25.439
<v Speaker 1>come into play to make that you know possible. So

0:26:25.840 --> 0:26:28.840
<v Speaker 1>our hats are off to you meteorologists out there, keep

0:26:28.880 --> 0:26:32.120
<v Speaker 1>doing the good work. I look forward to learning more

0:26:32.160 --> 0:26:35.040
<v Speaker 1>about you know, when we when we figure out even

0:26:35.080 --> 0:26:38.479
<v Speaker 1>more details about the complexities of of the atmosphere and

0:26:38.520 --> 0:26:42.159
<v Speaker 1>perhaps are able to make even more accurate models. Um,

0:26:42.320 --> 0:26:45.320
<v Speaker 1>maybe we will one day reach the back to the

0:26:45.359 --> 0:26:49.719
<v Speaker 1>future to level where minute by minute it tells you

0:26:49.760 --> 0:26:52.119
<v Speaker 1>what the the weather is going to be. Of course,

0:26:52.160 --> 0:26:54.400
<v Speaker 1>then I think they were actually suggesting that we would

0:26:54.400 --> 0:27:01.359
<v Speaker 1>have weather control, which is a whole other thing handle worms. Yeah,

0:27:01.760 --> 0:27:04.120
<v Speaker 1>I talked to Dylan that I said I had thought

0:27:04.160 --> 0:27:08.880
<v Speaker 1>about doing a little discussion about weather control, but obviously

0:27:08.920 --> 0:27:11.320
<v Speaker 1>we've gone pretty long already. So what I will say

0:27:11.320 --> 0:27:15.359
<v Speaker 1>about weather control is weather systems represent a huge amount

0:27:15.400 --> 0:27:20.000
<v Speaker 1>of energy, and in order for us to affect or

0:27:20.080 --> 0:27:24.760
<v Speaker 1>manufacture weather events on a large scale, we would have

0:27:24.840 --> 0:27:27.800
<v Speaker 1>to be able to generate that amount of energy and

0:27:27.840 --> 0:27:30.280
<v Speaker 1>pour it into the atmosphere in a way that actually

0:27:30.920 --> 0:27:33.400
<v Speaker 1>does what we wanted to do. And we're so far

0:27:33.440 --> 0:27:37.760
<v Speaker 1>away from any of those things that it's absolutely unrealistic

0:27:37.800 --> 0:27:39.560
<v Speaker 1>to think of weather control, even if you are a

0:27:39.640 --> 0:27:43.800
<v Speaker 1>Cobra commander going you know, going back to the beginning

0:27:43.800 --> 0:27:46.000
<v Speaker 1>of this episode with that listener request for this and

0:27:46.119 --> 0:27:49.600
<v Speaker 1>that their father said that in the sixties that they

0:27:49.640 --> 0:27:52.159
<v Speaker 1>felt like the weather report was just a joke. And

0:27:52.200 --> 0:27:55.879
<v Speaker 1>you fast forward to now and how you know, maybe

0:27:56.040 --> 0:27:58.320
<v Speaker 1>some days you grab an umbrella and you don't need it,

0:27:58.400 --> 0:28:01.680
<v Speaker 1>but that it's you know, you can track major weather

0:28:02.320 --> 0:28:05.720
<v Speaker 1>patterns and incoming storms that we have a pretty good

0:28:06.480 --> 0:28:10.760
<v Speaker 1>ability to track hurricanes and uh, and in like flash

0:28:10.760 --> 0:28:13.800
<v Speaker 1>floods and things like that. I can't imagine where I'll

0:28:13.840 --> 0:28:16.520
<v Speaker 1>be in forty or fifty years. Yeah, the fact that

0:28:16.560 --> 0:28:21.080
<v Speaker 1>we can get a at least heads up on stuff

0:28:21.119 --> 0:28:25.320
<v Speaker 1>before it becomes critical to us is really important. Uh.

0:28:25.359 --> 0:28:28.800
<v Speaker 1>I mean, Dylan, you probably remember it wasn't that long

0:28:28.800 --> 0:28:32.560
<v Speaker 1>ago here in Atlanta when we had the snow apocalypse,

0:28:33.520 --> 0:28:36.200
<v Speaker 1>and because it was one of those things where the

0:28:36.240 --> 0:28:39.160
<v Speaker 1>initial weather reports suggested that the weather was going to

0:28:39.200 --> 0:28:43.360
<v Speaker 1>miss the city and it didn't. That's an indication that, yeah,

0:28:43.400 --> 0:28:48.000
<v Speaker 1>our predictions are not accurate, they're not infallible. Uh. And

0:28:48.160 --> 0:28:50.920
<v Speaker 1>it also taught us a valuable lesson, which is that

0:28:51.600 --> 0:28:55.440
<v Speaker 1>even when you feel like there's a pretty good chance

0:28:55.480 --> 0:28:57.800
<v Speaker 1>that you're gonna miss out on that bad weather, it

0:28:57.880 --> 0:29:03.080
<v Speaker 1>doesn't hurt to prepare because the the alternative is to

0:29:03.120 --> 0:29:06.080
<v Speaker 1>spend eight hours on two eight five, even if it

0:29:06.200 --> 0:29:09.760
<v Speaker 1>is an inch of snow. Because it's Atlanta, and because

0:29:09.800 --> 0:29:11.760
<v Speaker 1>we don't have a system in place to deal with

0:29:11.800 --> 0:29:13.680
<v Speaker 1>an inch of snow, and we got a lot of hills.

0:29:14.160 --> 0:29:16.920
<v Speaker 1>None of us have snow tires, why would you, And

0:29:17.040 --> 0:29:19.160
<v Speaker 1>you let out the private in the public sector at

0:29:19.160 --> 0:29:23.000
<v Speaker 1>the same time. Yeah, that was particularly bad. I remember

0:29:23.080 --> 0:29:25.880
<v Speaker 1>I actually stayed here, not here, but in our our

0:29:26.040 --> 0:29:30.160
<v Speaker 1>old office location. I stayed there pretty much through the

0:29:30.160 --> 0:29:32.240
<v Speaker 1>full day because it was like, I'm gonna take Martha,

0:29:32.360 --> 0:29:33.960
<v Speaker 1>I'm gonna take the train. It's not gonna be a

0:29:34.000 --> 0:29:36.480
<v Speaker 1>big deal. It took me three hours to get home,

0:29:37.560 --> 0:29:39.960
<v Speaker 1>usually would take me forty five minutes, and I was

0:29:40.000 --> 0:29:42.320
<v Speaker 1>getting I got online, got ready to complain, and then

0:29:42.360 --> 0:29:44.480
<v Speaker 1>I started reading messages for my friends who were stuck

0:29:44.480 --> 0:29:47.160
<v Speaker 1>in their cars and had been for six hours. I thought, Okay,

0:29:47.200 --> 0:29:50.680
<v Speaker 1>we're gonna back away from the community slowly. Kids stuck

0:29:50.720 --> 0:29:54.840
<v Speaker 1>in school buses overnight. Yeah, pretty rough stuff. So yeah,

0:29:55.000 --> 0:29:57.800
<v Speaker 1>we're we're not We're not perfect, but it is getting

0:29:57.840 --> 0:30:00.320
<v Speaker 1>better and it is pretty impressive to see the amount

0:30:00.360 --> 0:30:03.480
<v Speaker 1>of information you can get. I love, I mean I love.

0:30:03.520 --> 0:30:07.120
<v Speaker 1>I find watching Doppler radar readouts to be fascinating, Like

0:30:07.160 --> 0:30:09.680
<v Speaker 1>I could have that open on my desk all day

0:30:09.720 --> 0:30:11.800
<v Speaker 1>if I if I didn't have other stuff I need

0:30:11.840 --> 0:30:16.040
<v Speaker 1>to do. So Dree, thank you so much for sending

0:30:16.040 --> 0:30:18.200
<v Speaker 1>that request in. There's a lot of fun to kind

0:30:18.200 --> 0:30:20.120
<v Speaker 1>of read up on it and to go over at Dylan,

0:30:20.160 --> 0:30:22.000
<v Speaker 1>thank you for joining me in the in the studio.

0:30:22.120 --> 0:30:24.960
<v Speaker 1>Thanks for having greatly appreciate it. If you guys have

0:30:25.040 --> 0:30:27.920
<v Speaker 1>suggestions for future episodes of tech Stuff, write me let

0:30:27.960 --> 0:30:30.800
<v Speaker 1>me know what you think. I am actually reading those

0:30:30.800 --> 0:30:34.840
<v Speaker 1>emails for a while, Dylan. Are you familiar with outlooks

0:30:34.880 --> 0:30:38.480
<v Speaker 1>clutter folder? I am. I deleted mine. You know what,

0:30:38.800 --> 0:30:41.720
<v Speaker 1>that was a wise decision, Dylan, because it turned out

0:30:41.760 --> 0:30:43.960
<v Speaker 1>that all of my listener mail for the last five

0:30:43.960 --> 0:30:46.960
<v Speaker 1>months has been going to my text stuff in box

0:30:47.040 --> 0:30:51.320
<v Speaker 1>clutter folder. So I discovered that last week and I

0:30:51.360 --> 0:30:53.719
<v Speaker 1>have since been going back and trying to answer as

0:30:53.760 --> 0:30:56.880
<v Speaker 1>many of those as possible. I started foolishly with the

0:30:56.920 --> 0:30:59.040
<v Speaker 1>most recent and started working my way back. So if

0:30:59.080 --> 0:31:00.680
<v Speaker 1>you wrote me a few months ago and you're wondering

0:31:00.720 --> 0:31:03.200
<v Speaker 1>why I never bothered to respond, it's because I haven't

0:31:03.200 --> 0:31:05.160
<v Speaker 1>gotten to your email yet. But I'm still working my

0:31:05.240 --> 0:31:07.400
<v Speaker 1>way through. But if you have a suggestion for a

0:31:07.400 --> 0:31:10.000
<v Speaker 1>future episode, right me, I've been keeping track of those,

0:31:10.040 --> 0:31:12.920
<v Speaker 1>will be covering them shortly. And also you can get

0:31:12.960 --> 0:31:15.680
<v Speaker 1>in touch with me on Facebook or Twitter to handle

0:31:15.680 --> 0:31:18.600
<v Speaker 1>at both of those. Is Tech Stuff hs W and

0:31:18.640 --> 0:31:26.400
<v Speaker 1>I will talk to you again really soon for more

0:31:26.440 --> 0:31:28.719
<v Speaker 1>on this and bousands of other topics. Is it how

0:31:28.760 --> 0:31:39.560
<v Speaker 1>stuff works dot com