Regional and Mesoscale Meteorology Branch

00:00:00:19 – 00:00:15:18
Unknown
Hi, this is Scott Scotland from Athens and I’m just want to go over some things about go. 16 of the data are flowing into your apps. I’ve been looking at it and I’m sure everyone else has too. I’ve seen a lot of,

00:00:15:20 – 00:00:41:15
Unknown
A lot of tweets about seeing the data. But before you look at the data, just a quick review of the validation schedule. So the next big day, is Monday, when we get to see the first GLM image. And will be in provisional or between bad and provisional for the next couple of months. There was an email that came out today to clarify what data can be shared.

00:00:41:17 – 00:01:06:23
Unknown
And previously, National Weather Service forecast offices were not supposed to share the data via social media. That has been relaxed somewhat as long as you include the, more than 140 character disclaimer here. Or if you put this preliminary non-operational data in the image that you’re tweeting out. So, you should have received this email as well today from, who is it from?

00:01:06:23 – 00:01:31:16
Unknown
From John Murphy. So, good news for sharing the data because it’s really exciting data. It’s great to look at, and I think the public should be thrilled to look at it, too, because there’s so much information, content on it. So I want to show you some of the things that we’ve put on The Sims blog here that I’m going to show you some, just some quick screengrabs that I got from a little about an hour ago.

00:01:31:18 – 00:01:48:06
Unknown
So if you go to the Sen satellite blog, we do have it go 16. We scroll down. Here it goes. 16. Menu or category that you can click on. And there are a bunch of different images here. I just want to show you a couple of them that I that have been put out there already.

00:01:48:07 – 00:02:08:06
Unknown
Let me, I guess I’ll just do this in order. So this is one from February. And again, of course, this is preliminary non operational data. And the under the data are still undergoing on orbit testing. And this is showing what you can get from the 32nd imagery. If I click this you might not be able to see this.

00:02:08:06 – 00:02:35:24
Unknown
So you might have to go to the blog to look at it. But this is a 32nd messo, showing that the fires that are being the agricultural fires in Florida. The detection, of course, is going to be much better with the 32nd and 32nd, versus the routine 15 minute from Goes 13 and even with just the routine five minute, you’re going to do a much better job of detecting these very short left fires.

00:02:35:24 – 00:02:58:18
Unknown
And of course, the rated the resolution being so much better as well. Two kilometer versus four kilometer. You’re going to be able to detect smaller fires. Let me go to the next slide that I have. This was an, an event that occurred yesterday.

00:02:58:21 – 00:03:22:26
Unknown
And I thought, this is going to play an animation. Let me help. Maybe not. Here’s another, animation from, as you know, in mid-August, I think the 21st, we’re going to have a total lunar, a total solar eclipse. But there was an annular eclipse over the southern hemisphere, late February. And this this is just showing the visible imagery from that.

00:03:22:28 – 00:03:46:04
Unknown
And that’s really nice thing about this is this is a full disk image and you’re seeing it every 15 minutes. So again, something that demonstrates the better scanning strategy or the really giant improvement in scanning with, the API where you can get full disk imagery every 15 minutes in addition to the conies every five minutes, you know, that’s separate, that’s happening at the same time.

00:03:46:04 – 00:04:13:27
Unknown
And in addition to that, there are also two metal domains. So, you know, kind of throw out the window the idea that if you have an RSL, you’re, you’re limiting how much, are there information you can have because the API is flexible and it can do to do a bunch of different things. So it can do the full disk scanning as it does the Kona scanning as it does the metal scanning all at once without losing any data.

00:04:14:00 – 00:04:34:27
Unknown
Here’s an example that I, I like to show because this is a comparison of the visible the .64 microns with the 0.86 microns, and the beauty of the .86 microns. One of them, it’s got lots of strengths, but one of them is that the Landseer contrast really pops out. So this just looking over Florida yesterday at 21 Z.

00:04:34:29 – 00:05:03:02
Unknown
And when you have the visible image, it’s hard to see these small islands. But when you put up the .86 because land is so much more reflective to solar radiation 2.86 microns compared to 0.64 microns, small islands just really pop out. So the Bahamas show up really nicely, the keys show up really nicely, and even this little speck of land that’s down in the Everglades, I’m not exactly sure what that is.

00:05:03:03 – 00:05:27:25
Unknown
I haven’t been to South Florida in 50 years. 40 years? But that’s showing up much more clearly in the .86. So it shows you exactly where the land is going to be. And I have another example here, showing something over the, over tidewater. So you see, eastern North Carolina here with a 0.64. There’s all the Cirrus on top of that makes it very hard to see the shoreline.

00:05:27:27 – 00:05:52:23
Unknown
But even with the, difficulty with the Cirrus, you can still see the, the shoreline there. And notice also, if you have flooding, for example, inland rivers and lakes show up much more distinctly in the .86. That’s true. The 1.61, the snow ice as well, because land is very reflective. Water is not in those two channels.

00:05:52:23 – 00:06:17:08
Unknown
So some things to think about when you’re thinking when you’re, you know, looking at trying to do some situational awareness, maybe with flooding or you just have things happening near the coast and you really want to highlight the coast. Think outside the point. Six four micron. And if you want to head back to that original squall line, I corrected the problem.

00:06:17:11 – 00:06:45:01
Unknown
So if you wanted to, the Army need to do a reload. There we go. Okay, so this is, one minute data. So this is just a single missile over the, over the, over this domain. So they didn’t have the overlapping missiles, which gives you 30 minute. But it does have, 32nd, versus six shots every one minute.

00:06:45:03 – 00:07:02:01
Unknown
I’m just showing the progress of the, the squall line as it moves up. So it’s I mean, if you’re familiar with looking at the goes 14 one minute data, this is kind of the same thing except the resolution is so much better. But you see things as they’re happening rather than as they have happened in the in the near past.

00:07:02:01 – 00:07:24:03
Unknown
That’s the beauty of the one minute data. And it gets into a very, very quickly. My favorite channel, I like to call it that. It’s a Cirrus channel. So this is C 1.378 micron channel. Over the Midwest yesterday. And the thing I like about this is it shows these upper level structure of this particular wave cyclone.

00:07:24:05 – 00:07:50:04
Unknown
This is reflective energy. So you notice at the beginning of this, you don’t see much happening in the upper Midwest because the sun that’s an up yet. And as the sun rises, you start to see the signal and the serious channel there. And if we toggle between the Cirrus channel, and the visible that’s on this map, and it just screams out all the lower level clouds, you can kind of see all these different layers of clouds in the Great Lakes.

00:07:50:06 – 00:08:12:04
Unknown
And because a serious channel, there’s a lot of water vapor. The series channel works because it’s in a region 1.378 where there’s a lot of water vapor absorption. So for energy at 1.378 microns is coming down to the Earth. As it goes into the atmosphere, it’s absorbed very strongly by water vapor. Now, if there’s a high cloud, it’s reflected right back out.

00:08:12:04 – 00:08:37:09
Unknown
But if there are no clouds, you know, it’s absorbed, absorbed the dropped as it goes down to the cloud, then it’s reflected back, then it’s absorbed as it’s going out as well. So it’s got to go through two times. It’s got to go through the atmosphere twice. So it’s very hard to see down to the surface. There’s been some, research that says if you had about 12mm or less of total precipitable water, that’s when you start to be able to see sea surface features.

00:08:37:11 – 00:08:59:03
Unknown
But this is nice, nicely screening out, for example, these clouds in northwest Indiana, right along the right along the lakeshore and extreme northwest Indiana, apparently a little bit higher than the ones just to the southeast of that, because you don’t see the one band in the Cirrus Channel and you do see in the other. And I want to switch over now to what I’ve seen, what I’m seeing in Awacs now.

00:08:59:03 – 00:09:25:24
Unknown
So this is let me show you the animation of. So I have an animation that shows them all. So it’s just showing bands one through 16 in ascending order. With all the default enhancements that are put on it. So this is, I’ll just let this go through once or twice. So there are different reasons, reasons to use some of these channels.

00:09:25:24 – 00:09:48:18
Unknown
Some of these you may not use very often. For example, you’ve had the 13.3 micron channel anywhere from goes 13 and 15 for quite some time. But I haven’t really met a lot of forecast offices where that’s used a lot. So the 13.3 microns is important for products for product generation. That’s why it’s there. But it’s not necessarily one that you’re going to use all the time.

00:09:48:18 – 00:10:10:14
Unknown
Same for the 2.25 and the 1.61. Typically people use one or the other, but not both. Let me show you some individual channels. They don’t have the animation. And I’ll point out some, let’s call them artifacts. Again, this is still preliminary data. And you will notice that there are regions in this band. This is band one.

00:10:10:16 – 00:10:29:14
Unknown
Where you have, black regions. This is missing data. So the problem or the issue here is that the, albedo here is exceeding one. So they have a limit, a hard limit from 0 to 1 if it’s greater than one. They were told to expect this. But they still set the limits from 0 to 1.

00:10:29:14 – 00:10:50:03
Unknown
So we have a albedo that if it’s greater, the one that’s being set to missing data. So there is a work order to, to fix that. This would not be a problem if the sun weren’t so high in the sky. But this is 19 data, so. So you don’t if it’s not happening, out over the outer out where the sun isn’t quite so high in the sky.

00:10:50:03 – 00:11:10:24
Unknown
So this is, this is kind of a sub solar point issue that you’re going to see the same effect in the highest resolution, the band to the .64 microns, and in the band three as well. But again, the imagery looks really mesmerizing. So if we toggle between the band two and band three, one of the things you’ll note.

00:11:10:24 – 00:11:37:06
Unknown
Well, let me get them to the same size again. The land water. The land sea difference. Now, I can’t get them to be the same size. Let’s see, maybe I can. Okay, there we go. The the land sea contrasts so much nicer in the band three. And also, if you look at the lakes in, for example, eastern Texas, they’re really popping out in the, the band three again because of the land sea contrast there.

00:11:37:06 – 00:11:59:06
Unknown
So this is a band three the .86 microns. The band four. There also some issues with it. And apparently when you have a very small values that’s being set to missing and it becomes transparent, so you actually see what’s underneath it. So in the Gulf here, you’re seeing, I believe I also had so you’re seeing the band three, showing through.

00:11:59:07 – 00:12:25:14
Unknown
So you’re seeing the low clouds. Where there is no signal from the Cirrus, I expect that’s something that they’re going to be fixing shortly. But otherwise you’re seeing just a signature of the high clouds. The band five and band six, the snow ice and the, near-infrared cloud face. So, again, these signals are excellent for discriminating between, water based features and ice based features.

00:12:25:14 – 00:12:43:25
Unknown
So if you want to know where the snow is, that’s going to look dark in the, I’m guessing this is snow up over the higher up over the arrowhead of Minnesota. And if I go to the band two. Whoops. I don’t see any snow there. Okay, the snow is over North Dakota. A very dark feature of.

00:12:43:28 – 00:13:12:21
Unknown
It’s very bright, in the in the visible. And we look at the 1.6 and it’s very dark, similar similarly, over the, Rocky Mountains. And you can also see cirrus clouds show up as a gray, so you can tell where the high clouds are, both with the snow white channel, with the serious, with the Cirrus Channel, with the serious channel and with,

00:13:12:23 – 00:13:35:15
Unknown
Okay. So but they’re going to show up fairly bright in, in the, in the, in the visible, band seven, the shortwave infrared imagery, the 3.9 microns. Then we have the three water vapor channels. These are the default enhancements. I was telling Dan at the beginning of this, this is not my favorite enhancement. But the the beauty of the the water vapor imagery.

00:13:35:17 – 00:13:55:18
Unknown
Let me just show you some zooms on this. This is what the water vapor channel looks like, over the Appalachians. So you see these these beautiful wave features in the water vapor? This is in the 6.19. And if you look out over the, over the Rockies, this is in the 6.9 imagery, just the structure in there.

00:13:55:21 – 00:14:14:08
Unknown
And to watch it animate. I’m not showing an animation here, obviously, but the animation of this as the flow goes over the terrain, it’s just really compelling. And I could spend a whole long time talking about it. But we don’t have a whole long time. So let me just go to band 11 nine is the 8.5 micron.

00:14:14:08 – 00:14:42:00
Unknown
Again, this is a cloud, cloud physics also. And so two. So if there’s a volcanic eruption that would show up very nicely in this. But the moment the volcanoes are quiet, to the point, the 9.6 micron, this is the ozone. Then we have the, the clean window, the window and the dirty window looking very similar. But if you toggle between the two of them, you can, tell something about both the clouds and about the low level moisture fields.

00:14:42:02 – 00:15:10:15
Unknown
And then we end up with the, CO2 channel, that 13.3 that, that you have already and now you just have it higher resolution. This is something interesting I looked at. So this is a really zoomed in of the 10.3, which is two kilometer resolution, and the .64, which is a half kilometer resolution. And you have the pixels to me, look to be the same size.

00:15:10:16 – 00:15:31:21
Unknown
So something I’m not exactly sure what else is doing here. I think they’ve, Well, I don’t know. So some interesting things you can find out. Bonus points if you can tell me what statuses just by the shape of the counties. But I’ll tell you now it’s Florida. So you’re not going to get those bonus points, but let me let me just step go back to the, animation here.

00:15:31:24 – 00:15:49:27
Unknown
And that’s really all I have to show right now. This is just a quick thing. There are, I guess I’ll just stop there to ask if people have any questions.

00:15:50:00 – 00:16:17:04
Unknown
You spoke about, mentioned resolution there briefly. Can you tell us, what you’re seeing an ellipse. Is it generally what’s expected with the native resolution imagery in there, including the full sector, or is it then truncated at all? The full disk has been shows a scale to, I believe, six kilometer resolution. So if you’re looking at full disk data, you will not see the full resolution that Abby provides.

00:16:17:06 – 00:16:43:18
Unknown
Conus and the metal sectors will should be giving you the full resolution. Now, it has been you’ll notice the, image that I’m toggling through here. This is the Kona sector. And it’s kind of a strange shape. And then that suggests to me there’s some kind of interpolation going on. So interpolating from the, I guess from the level one B data into the, into to get it into a watts.

00:16:43:20 – 00:17:19:08
Unknown
So there’s probably some kind of slight degradation in resolution when that happens. But you should be seeing about a half kilometer for the, 0.6 for one kilometer for bands one three and five, the 0.478, 0.86, and the 1.61 and two kilometers for the rest of them. Hey, Scott, this is Jeff, man in central region. Yep. We have had access to the GRB data from the AC prior to the SBN data being delivered, and we were getting the native resolution in a WIPs and a half kilometer for, channel two.

00:17:19:15 – 00:17:44:01
Unknown
However, when we switched to the SBN, we dropped to one kilometer, and channel two. So it’s not an ellipse issue, it’s something going on in the ground segment, perhaps. And there’s this and I believe they’re out there investigating this. Yeah. As I said as I said beginning this is preliminary non operational data of ongoing ongoing testing for the next couple of months to iron out all the, surprises I suppose.

00:17:44:01 – 00:18:09:10
Unknown
Yeah. One of the other things we noticed is that, the reflectance is jumped higher in the ESPN data versus, what we were getting from the GRB. Which so in the TR, when you use the GRB, were you getting the problem of black regions and the, 0.64 in the 0.47. No. At high sun? Oh, not at all.

00:18:09:10 – 00:18:19:27
Unknown
It looked great. That’s interesting. Okay.

00:18:20:00 – 00:18:27:10
Unknown
Any other questions?

00:18:27:12 – 00:18:48:19
Unknown
I thought there’d be more than this. So I’m just going to put back up. I have a question here. This is Greg in El Paso. Yep. The I also noticed that some of the RGB curves and the channel differences were, what are your thoughts on those? Are the 2 to 2 preliminary that you can look at?

00:18:48:21 – 00:19:12:28
Unknown
Yeah. Okay. Let me see what I have in my, Scott, I was looking at the channel differences, and they all had the same color table. They may or may not be appropriate for that particular use. That’s that’s what I noticed. Yeah. Yeah, I noticed that, too. Gridded data is just the color channel, and that’s not a very good one to use for that.

00:19:13:00 – 00:19:43:07
Unknown
Yeah. So I’m just loading up my go 16 satellite moisture, which is another one of my favorites. The 10.3 -10.3, -12.3. And why didn’t that load I don’t see anything on there. So, I have I have not looked at it yet. So, yeah, but I do see that enhancement there is the pretty standard one that might not be so things things still need to be tweaked enhancement wise.

00:19:43:14 – 00:20:20:15
Unknown
I do know that a lot of the enhancements that are in here, there is a satellite enhancement team, the fact that they’ve been working on them, I’m not sure if they’re, if these are the final ones or or or what’s our, what’s going on with them, but.

00:20:20:17 – 00:20:45:07
Unknown
Any other questions? I’m still trying to look at this stuff in a WIPs, and I seem to have frozen it. This is an awesome relic. Do you know when the derived products are going to start coming online by chance? Those are scheduled to come along kind of piecemeal. I remember seeing something as they’re starting in. No, I don’t know for sure.

00:20:45:09 – 00:21:10:13
Unknown
I’ve I’ve seen a schedule for different ones. Most of the derived products should be released by March, a bit by May. Sorry about that. But they’re not all coming at once. So they come, they’ll come and flow dribbles and I’m sure you’ll get emails, that say, let’s see, do the derived products are in here L2 so there’s an April 17th star there.

00:21:10:15 – 00:21:32:24
Unknown
But I don’t know if that’s. That’s for the beta validated products. I don’t know if they’re all beta validated by April 17th, but in between the 17th and May 15th, if is the, schedule for them to be released? But again, they’re not all being released at once because the scientists have to sign off on them.

00:21:32:27 – 00:21:47:14
Unknown
And then they have they go out, they go out the door, in some order. But it’s not all at once. I hope that made sense. Again. Thank you. I.

00:21:47:16 – 00:22:08:10
Unknown
You know where the, geothermal be located on the what’s menu when it comes to that? I do not know. I have not seen a lot of email traffic on that one. Is there anyone on the line who knows that answered that question?

00:22:08:12 – 00:22:14:21
Unknown
My understanding it was that it was going to be under the lightning menu.

00:22:14:23 – 00:22:24:03
Unknown
Okay, that would make sense.

00:22:24:05 – 00:22:42:21
Unknown
Yeah, that’s where it is. We have the RPM for it, and I just found it. So yeah, it’s under the lightning menu. Thanks. So.

00:22:42:24 – 00:23:10:21
Unknown
The mesoscale sectors are bouncing all over today. Is that going to be common or are they going to like, take places normally that the mesoscale sectors I think are being tested today? I’m not sure what the test is. I noticed this morning they’re all over South American moving around. Normally of course, there is a parking place for them unless they unless a mesoscale, the main sector has been requested and the parking places are over.

00:23:10:24 – 00:23:42:10
Unknown
The air corridors in the northeast and, O’Hare, and I think one covers O’Hare and Atlanta. So typically they will not bounce around like that. So again, this is just part of the testing. This is not operational data. And it’s not meant to be, used operationally, until it arrives on station, either it goes west or goes east.

00:23:42:12 – 00:24:06:24
Unknown
And that that announcement is going to be made in May.

00:24:06:27 – 00:24:19:22
Unknown
Any other questions?

00:24:19:24 – 00:24:26:25
Unknown
Well, enjoy looking at the data. It’s really, I’m.

00:24:26:28 – 00:24:45:26
Unknown
I’m just. Error retrieving satellite data from Alex. I’m having a great time looking at it. It’s, It’s such a huge increase in what you can look at. And the resolution and the temporal resolution is so much better. It’s going to be it’s really going to change how you do your job.