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00:00:00:00 – 00:00:28:07
Unknown
This is just mostly talking about the first light imagery from a couple weeks ago, but there has also been some, small releases of interesting loops that start are starting to showcase the really improved capabilities of go 16. So, I’m Scotland’s from I’m at since ten bike goes from series on the lines and so is Dan Lindsey and Tim Schmidt, who are I suppose start points of contact if you have go 16 questions.
00:00:28:21 – 00:00:52:15
Unknown
So let’s just go and look at the data. So the first thing that was released were some full color imagery. And this takes a little time to load because it’s kind of big. So this is the full disc imagery from January 15th of 2007. This is using the, the RGB enhancement that reduces really scattering.
00:00:52:26 – 00:01:17:01
Unknown
If using the channels one, two and three, the 0.47, the 0.64 and the 0.86 to create this imagery. Of course, APA does not have a green band, so the green band has to be simulated using, the veggie band .86 This is something that will be available through the Eld. It’s through an LDM feed, I believe.
00:01:17:01 – 00:01:38:03
Unknown
It’s not a baseline project, but it’s a very attractive image to look at. So we can just see what’s going on at this particular time. 18 07Z. On January 15th, when there was a big storm, over the central part of the U.S, I’m not going to zoom in on this because the it’s just too big.
00:01:38:03 – 00:02:01:23
Unknown
But if we look at the, the, the more Conus view, we see the RGB imagery, which again is which again is combining the first three visible and the one near infrared channel, 2.86. And, if you look at this imagery. So again, this imagery is easy to find. If you go to your favorite web server type in go 16 image gallery.
00:02:02:05 – 00:02:28:08
Unknown
This is this is the first hit. And this is something that no one knows. Just is is is putting out, this also 16 panel out there, this shows all the individual bands. This is at the Conus resolution. I just want to highlight a couple of things with Conus. For example, if you are in the northern United States and you are in the northwest, flow, you don’t have a lot of information upstream in the Conus imagery.
00:02:28:08 – 00:02:54:09
Unknown
So that’s something to keep in mind. So this is the conus. This is the conus that will be coming into a web. So you get a lot of Caribbean. You don’t get a lot of central Canada, south central Canada important for you. When you have northwest flow, things will be things might surprise you. Here’s a nice example here in the 0.64, which is the visible image comparing that to the 1.61, which is the Snow White.
00:02:54:09 – 00:03:17:03
Unknown
And you might ask yourself, you know, what is this feature that’s up over northern? Up over up over the north central part of the U.S. and it shows up very dark in the, in the snow ice channel. So this, of course, is probably a snow bank, and it’s unlikely that there’s a, that there’s a frozen ice cloud, that low in the atmosphere.
00:03:17:03 – 00:03:39:09
Unknown
And, you know, it’s kind of low in the atmosphere because when you look at the 3.89, the temperatures are fairly warm. Another new channel is the, I think this will be my favorite channel. This is the Cirrus channel, the 1.37. And because of strong water vapor absorption at that wavelength, you do not see very far down into the atmosphere.
00:03:39:09 – 00:04:03:17
Unknown
This is reflected solar irradiance. And it’s only really seeing the highest clouds. It’ll see the surface if it’s very dry. You could see down to the surface near the Great Lakes yesterday because there’s still little water vapor in the atmosphere. But for, a typical event when you have a some kind of secular genetic event, you’re really only going to be seeing the, you’re only you’re only going to be seeing the tops of the clouds.
00:04:03:24 – 00:04:36:12
Unknown
So going back to the first and let’s just scroll down. So we have the three water vapor channels, the 6.174. Maybe I’ll shrink this down the 6.17, the 6.9 and the 7.3. These are all the same enhancements, actually the same enhancement on all the water vapor channels. And one thing that you’ll notice is because of the absorption, the differences in absorption of water by water vapor at the different wavelengths it absorbs very nicely at 6.2 microns, doesn’t absorb quite efficiently at 7.3 microns.
00:04:36:12 – 00:04:59:21
Unknown
So you can actually see farther down to the atmosphere shifting three levels, with this water vapor imagery. And also something that’s we have all these different window channels now. So this is the, 3.7 for the near infrared. We have the 8.5, the 10.3, the 11.2 and the 12.3. All three giving you essentially a window view.
00:04:59:21 – 00:05:21:02
Unknown
And then we have two channels that are a little bit cooler. And you’ll notice the lack of the oranges and the reds in the in this enhancement. So the ozone channel, and the CO2 channel. So 16 channels, you can, you can refer to them by their band number and one through 16. That’s easy. You can refer them to their central wavelengths.
00:05:22:00 – 00:05:41:20
Unknown
And we’ll go through that right now. But it could which is a little bit more interesting. And they all have nicknames too. So if you go to the Goes-r website and look for the fact sheets there, you can get more information on all these different channels. But it’s I’ve been looking at them, and it’s, it’s really great to look at.
00:05:42:13 – 00:06:03:25
Unknown
I can’t I can’t emphasize enough how exciting it is to see all this new data. The only complaint I have is has really too much, but that is a that is not a complaint that it’s that is a bad complaint. So we have other imagery from that from this first day, three views over Africa, views over the Caribbean, views over the West coast.
00:06:03:27 – 00:06:30:09
Unknown
So this this is also I have an image here from, that I got from Tim Schmidt from the AMS meeting where you’re looking at this is again the same day, but we have the 0.64 on the left. The serious band in the middle, and the 1.61 or the Snow Ice Band, on the right. And the interesting question is, if you’re looking at this view of the central Central Valley of California, where is the snow and where is the Cirrus?
00:06:30:25 – 00:06:56:04
Unknown
You really can’t tell from just the red band, but you the series channel highlights all the Cirrus very nicely. Even when you look at the Cirrus band, it’s hard to see in the visible exactly where that cirrus is. And then we have the snow ice band here as well, where it’s where it’s dark. So example, in this region on the spine of the Sierra Nevadas, we have very dark enhancement.
00:06:56:04 – 00:07:21:08
Unknown
So the solar radiation is being absorbed there. So the, not much reflectance of the 1.61 is dark, but then we have these water based clouds on the other side of the Sierras, which show up very nicely because water based clouds reflect very nicely, reflect 1.61 micron radiation very easily. Effectively. So we have the water based clouds in the central Valley of California.
00:07:21:08 – 00:07:56:19
Unknown
We have the water based clouds over Nevada. And you can discriminate between that and the snow a lot is a lot more easily. When you have the snow ice channel. So let me just go on. Now, there is a no US satellite, Facebook page and on that Facebook page, they are posting, Animation. So here’s an animation that I believe Dan Lindsay put together of the, ongoing development of a strong nor’easter on the East Coast.
00:07:56:19 – 00:08:20:25
Unknown
This looks like the 7.3 micron water vapor. The thing is, I don’t know if I’ve been able to get it to know what does animate. So, so you can look at this animation at five minute image. That’s, that’s another great thing about go 16 every five minutes over Conus, you’re getting this data. So the animations are just fabulous to look out.
00:08:21:07 – 00:08:45:04
Unknown
I can’t recommend staring at them long enough. You will just be mesmerized when this stuff is coming into your office. So there is a YouTube channel as well. So here we have, NOAA satellites, has a YouTube channel, and there are 16 animations on this one. So I’ll just show you a couple of those. Okay.
00:08:45:04 – 00:09:04:27
Unknown
I’m going to start with this one first. This is this was earlier this week. And this is showing the, five minute image. So it’s not even a mess. Oh I got to keep I’ve got to keep hitting replay. So I hope you can see this, but it’s showing the, tornadic thunderstorms over, New Orleans or southeastern Louisiana on, on the seventh.
00:09:04:27 – 00:09:29:10
Unknown
So the amount of detail, because it’s a half kilometer resolution, five minute imagery is just, not something you’ve seen before. I guess that’s a good way to put it. There is a here’s, here’s here’s another image that was just put out today. So we’re comparing goes 13 on I go 16 on top. With Goes 13 on the bottom.
00:09:29:10 – 00:09:57:17
Unknown
These are hole punch clouds over North Carolina. Just a much more seamless again seamless animation using the Goes 16 data compared to the coast 13 another nice thing about the I goes about the go 16 that is, you could look at high resolution and see that these hole punch the clouds inside the hole, punch where ice clouds because, it would not because it’s ice, it would be absorbing the 1.61 micron radiation.
00:09:57:18 – 00:10:18:00
Unknown
So if you’re looking at the snow ice channel, that would really stick out. And the surrounding clouds are all water based clouds. So tells you something about the physics of the of the clouds. Keep going. So here’s a here’s something we can put together. I think this is a nice way to test yourself on your knowledge of, ab channel.
00:10:18:00 – 00:10:42:25
Unknown
So just play this constantly and fast as it’s changing. So that’s the that’s the veggie band. The .86. Here’s the serious band, the 1.37. The snow ice the 1.6. And you can do this for all 16 channels. And you become very conversant in you know, you could do this with this is band nine, band ten and 11. But the, nicknames are shown on this on the chart as well.
00:10:42:25 – 00:11:10:12
Unknown
But you could also do this, using the, central wavelength as well. Now, if you go to this website, tiny URL dot go 16 dash RGB and you anchor that, that takes you to this website where you can play around with the first light data, and create RGB. If you, if you want to. So it’s this is the first light data which I’m sure you’ve seen already.
00:11:10:12 – 00:11:33:25
Unknown
And just select a red, and let’s just say we want to put the the red channel and the red, and we want to highlight the high clouds, or put the Cirrus Channel and the green and we’ll put some, you know, a window channel and the blue and the combine it, and then you get a pretty looking picture here that you can figure out exactly why the different colors are there.
00:11:33:25 – 00:11:42:15
Unknown
So, okay.
00:11:43:19 – 00:12:03:28
Unknown
And I think that’s about all I have. I just want to go quickly, go through some of the, imagery that’s available online. I hope you’re excited about the, I’m a little impatient with the rate at which, knowing this, this is showing examples. And I’m hoping that will increase in the next couple of days.
00:12:04:02 – 00:12:31:03
Unknown
Of course, by the end of the month. The cooperative institutes will be able to blog about this provisional data. And I expect you’ll see a lot of blog post about interesting events and what the different channels on the AP. I can tell you about those events. So, does anyone have any questions? Yes, Scott, I was trying to follow along and I went to that Facebook page.
00:12:31:04 – 00:12:54:20
Unknown
I couldn’t find it. Exactly. Do you have a little something that we could click on and find some of these things? For the Facebook page, I just looked for NOAA satellite. So it’s, I don’t know, a nest just so you can see the, facebook.com slash knowing that stuff, it’s what’s going to take you to the Facebook page with all of the, with all of the animations on it.
00:12:56:12 – 00:13:10:09
Unknown
And then there’s Sky. They have higher resolution available. I can email you the link. Give me a second. Yeah.
00:13:10:12 – 00:13:34:01
Unknown
Is that on the Goes-r, page that were that put in some data out? Maybe. Give me just a minute. Yeah. Scott, if you type in Goes-r and multimedia, you may come up on, I think the pace advanced talking about.
00:13:34:04 – 00:14:05:22
Unknown
Yeah. The top one. Yeah. Try that one. Just speed. Okay. Yeah. Link to that. Well, yeah. Okay. If, you know, if you go under multimedia again at the top, that arrow down. Yep. Arrow down there should be. Yep. Click on it. It should be. It goes I mean I am clicking oh my gosh. It’s like my machine is slow or something like I have too many tabs okay.
00:14:05:22 – 00:14:31:20
Unknown
Go 16 imagery and data. Yeah. That that page you were thinking about Dan I’m still waiting for it to load. Okay. Okay. So it looks like this is the YouTube page, which has YouTube links. And those are are better than Facebook, especially if you set it to for resolution. But, you know, they’re always going to degrade the resolution to some degree when you convert to YouTube.
00:14:31:25 – 00:14:55:21
Unknown
Right. That’s what I had on over here. I have the. So I went to the went to the settings and made it made the quality as best as I could. Yeah, that’s probably as good as you can get right now. I didn’t do this. So now we can look at this and just it’s if you. That’s the one thing that it’s not.
00:14:55:21 – 00:15:17:07
Unknown
It’s not doing for both of you. I was looking at this on the day. And the resolution is so good. And the time temporal animation is so good. Even even this six second image 666 second that for a second animation you can see the different, the beautiful wind shear, in this case, with the low level clouds coming up from the south.
00:15:17:14 – 00:15:42:05
Unknown
We have multiple levels coming from different directions until you’re eventually coming from the northwest, with the Cirrus Channel, with the cirrus clouds. So it’s just a beautiful example of being able to see that, that directional wind shear in the cloud motions. So I imagine the, the atmospheric motion winds, the derived winds in this case would have been phenomenal.
00:15:44:00 – 00:15:49:22
Unknown
I haven’t seen those yet, but that’s just my assumption.
00:15:49:24 – 00:16:31:29
Unknown
Okay, let me go back to that multimedia page if I can, if I can find it. So you do goes our multimedia. And I have a multitude so we have these go 16 data and imagery. I think it’s looking to me like the YouTube channel is getting updated first and then they put them on here. So, because I don’t see the, water vapor image yet or the, hole punch cloud, but, there are many ways to get to see that, get to see the different data sets of data.
00:16:32:02 – 00:16:59:04
Unknown
Any other questions or comments? What was that? This, in Memphis. What was the, tiny URL link? Goes 16. Goes 16. Let me just open up a tab and I’ll just type it in. Goes 16.
00:16:59:06 – 00:17:34:24
Unknown
There it is. Go 16 dash RGB. And then it directs you to this, a little more, this more cumbersome. So I just type it in and not click goes 1618 dash. Oh, don’t do that. And the only other question I guess I have is, it’s more a website oriented than anything else is the color curves that are shown in the 16 panel sample.
00:17:34:26 – 00:18:01:18
Unknown
Right. The water vapors seem to be more of that. I think they call it a yellow or something. Yellow. Right. Yet the default one seems to be more of the OG, one where the oranges are more prevalent, though there is. I was looking at it, and that test data does seem to show there is yellow farther down or drier air, but maybe we just don’t have enough dry air.
00:18:01:18 – 00:18:28:07
Unknown
But, I’m not certain when the different defaults for ghost 16, which build a, a website. Those are supposed to be in. And I’m going to ask Dan Lindsay, unprompted. He does not know if this question is coming to him. Dan, do you know which which a web spilled has all of the color tables in it? I don’t know the build number.
00:18:29:17 – 00:18:51:12
Unknown
I was told that a fairly recent upload to the V lab, I think they call it the RPM. You can download that and get all of the updated color tables. The default is currently with that release. The default is currently set to a legacy water vapor curve, which we is originally called Rans does something. And that may be the one that you’re referring in.
00:18:51:15 – 00:19:07:28
Unknown
And you’re right that the ones listed here or if shown on this 16 panel are is not the same. Right? It really just with any color curve it comes down to to forecaster preference. Some forecasters like the old stuff. Some people like new stuff. It’s really hard to make everyone happy with the default. But you can always change to whatever you want to, right?
00:19:07:28 – 00:19:38:14
Unknown
Okay. And the defaults since are using legacy, those really should be altered to take advantage of the Go’s 16 better bit depth. Well, I guess my understanding is the the they may be changed to the bit depth in better bit depth, but they still look to me like the old curve. And so they probably, you know, it’s similar to the old curve, but it’s has better data than or better resolution I should say, than the color curve does.
00:19:38:14 – 00:19:58:22
Unknown
So yeah, the goal was essentially to mimic the colors of the old, it does have better bit depth than the original, but perhaps not the full 12 bit depth, which is possible. To do that, you really have to introduce extra colors and it becomes unfamiliar to forecasters. However, we do encourage forecasters to make their own.
00:19:58:22 – 00:20:27:08
Unknown
Basically, go ahead and create whatever you want to whatever. You know, there’s an unlimited number of possible color curves you can create and we’ll the standard editor, hey, loops work. Yes, yes. Always. Editor. Yep. And the difficulty with just migrating the color curve over is if you associated some particular color with some particular value.
00:20:27:18 – 00:20:50:15
Unknown
That might not translate when you go from, say, all right, you got 4000 or whatever it is. Right. Okay. And the, and the shape of the curve is different. So it was a it was a break. There was a two piece linear and the old way. And it’s just straight linear, and the new. So the.
00:20:50:18 – 00:20:58:27
Unknown
Old way being goes 13 and 15 and new being goes 16.
00:20:58:29 – 00:21:23:29
Unknown
So are the like the same colors on in a different. I believe they’ve been made available in, in RPM one. We’re doing the for another thing but I’m not sure which RPM that is. Okay. As Dan says, if there is a V lab that includes it. And I think that’s linked to the class V lab because I know you’ve gone through the CEU course.
00:21:25:13 – 00:21:42:00
Unknown
And if you go back to the class V lab for that, you should be able to find the link to the color curves. Okay. I may have to let me know if you can’t. Okay. Well, I mean, I think I saw him in there and, you know, it’s I can’t tell. Just looking at a curve. Whatever.
00:21:42:00 – 00:22:08:06
Unknown
It’s right 11 bit or eight bit. I mean, maybe it’s ready. Yes. I’m hopeful that the naming conventions will change. So don’t say exactly right. Oh, that would be. That would be that would be the most important if it said the 11 or 12 bit or whatever you want to. So okay. Thanks. Sure.
00:22:08:08 – 00:22:31:03
Unknown
Any other questions? Hey, Scott, this is Ed. Can you. I tried to get that site you were just showing with the tiny. Whatever. It was tiny. You are welcome. Go 16 dash RGB. Yeah, well, I you I tried to search for it with your suggestion, but it comes up with a whole bunch of blogs. Would you give that again?
00:22:31:06 – 00:22:46:16
Unknown
Kind of. You are so this tiny. You’re looking for this? I’m not going to click on it because it won’t stay in the wind. Very well. Hold on. Tiny url.com okay. Slash go 16 RGB.
00:22:46:18 – 00:22:51:12
Unknown
Slash goes.
00:22:51:15 – 00:22:57:20
Unknown
To.com.
00:22:57:22 – 00:23:10:23
Unknown
Okay great.
00:23:10:26 – 00:23:37:25
Unknown
Say if you have further questions if you’re Sue, I will recommend Tim Schmidt and Dan Lindsey as points of contact because they don’t get enough emails. I think it comes in box and it’s pretty sparse. No comment yet. To to double what you said though, these are exciting times as this data gets gets rolled out, then proved, spatial resolution that improves spectral resolution.
00:23:37:25 – 00:23:48:09
Unknown
They’re proved, temporal resolution. That’s my cue to say better, better better better better better.
00:23:48:11 – 00:24:06:18
Unknown
Is, Scott, stand up in Duluth. Can you hear me? Okay. Yep. Going back, just to follow up on the discussion, we had, down in Kansas City last week, that one image of the California’s Central Valley and the Sierra that you showed. Right. You go back to that for a second. I got to find it. Oh, here it is.
00:24:06:20 – 00:24:32:24
Unknown
Oh, it’s in one of your tabs. Yeah. That one. Yep. You guys ever figure out or, have further discussion on why those river valleys are showing up, when maybe they shouldn’t be? No, but I pointed out, I think I’ve pointed that out to Tim. So we’re talking about these river valleys, here, I guess. And the question is, why are they?
00:24:32:27 – 00:25:01:05
Unknown
Because if you look on the in the visible, they don’t look bright, but they do look bright. And the snow ice channel. So the question is why? And I’m kind of it’s especially obvious in this first one here in the visible. And you have a really nice enhancement in the snow ice channel. And I haven’t come up with a good reason yet, and nobody I’ve asked has come up with a good reason either.
00:25:01:05 – 00:25:21:24
Unknown
So maybe the maybe the refrain cannot be but you. No, it wouldn’t be from I think it’s fog. And then the reflectivity at 1.6 is maybe more sensitive to the really thin fog than the red band reflectivity. That’s right. That’s possible. It’s just kind of an interesting level. I wonder what it look like in the blue band. Yeah.
00:25:21:24 – 00:25:47:06
Unknown
I should also point out with this case, a serious band was not enhanced at all, so you could get those higher clouds to stand out a little bit more. But but I think that’s right. I mean, when you look at these things you often think of, well, they just one thing there. But of course, if you have then cloud thin fog and then you have, you know, what’s the surface underneath it and what’s the vegetation and how do they reflect differently at the different wavelengths.
00:25:47:06 – 00:26:03:12
Unknown
And that’s some of the stuff that we’re all going to be learning as we go forward. Yeah.
00:26:03:15 – 00:26:08:29
Unknown
Any other questions?
00:26:09:01 – 00:26:19:00
Unknown
If not, I guess this is a wrap. Thanks for dialing in. I think sometime in early March, we will start having some more frequent satellite when we’re.