Regional and Mesoscale Meteorology Branch

00:00:00:01 – 00:00:26:27
Speaker 1
Let’s go ahead and start. Welcome to, this afternoon’s, visit, satellite chat. And, just briefly want to highlight a couple items before we, get into our discussion here. First of all, if you go to the visit site on the visit calendar, you’ll notice earlier in the month, there were a couple tropical cyclone sessions that were led by subject matter experts from, the National Hurricane Center, and those were recorded.

00:00:27:00 – 00:00:51:18
Speaker 1
So if you’re interested in participating in those, you can click on the, student guide page and you’ll see the web based video, that is available. Essentially, they’ve been, updating these every year for the past, 4 or 5 years now. And, they look at, updated statistics and, the previous season, and they also look at, what changes in the model guidance.

00:00:51:22 – 00:01:14:01
Speaker 1
So they go into some details about that as well. So if you’re interested in that check that out. And I’ll also advertise back on the visit site. If you click on the blog sites here, you’ll see a number of, satellite related blogs listed here. And, I’ll just go ahead and, click on the visit blog right here.

00:01:14:03 – 00:01:20:23
Speaker 1
We just had somebody else join us. Brian Caffrey.

00:01:20:25 – 00:01:22:03
Speaker 2
Yeah. Brian from Juneau.

00:01:22:09 – 00:01:50:03
Speaker 1
Juneau. Okay, great. Okay. I’m just, briefly showing a couple of updates. That visit has had in the past few weeks here. If you go to the visit blog, I put together an entry last week on, severe weather, a case that took place on May 20th. Using the one minute imagery available from Goes 14 SR. Oh, so, since it is one minute imagery, it doesn’t show up so well.

00:01:50:05 – 00:02:12:21
Speaker 1
Over go to meeting, invite you to check this out on your own later. If you click on it and you have sufficient volume on your speaker. You can listen to the blog entry that I, that I put together here. And there’s some other ones available. Back on the visit blog as well, that look at these, severe weather events that happened during the one minute imagery period that we had back in May.

00:02:12:24 – 00:02:27:18
Speaker 1
So, with that, I will turn it over to Scott Lindstrom at Sims, Wisconsin.

00:02:27:20 – 00:02:29:15
Unknown
I’m sorry I was muted.

00:02:29:17 – 00:02:57:17
Speaker 2
Thank you. Just in time. I got this up. This is an this is a case that Buffalo actually pointed out to me because they had. Well, I’ll show you the email. They had a case with they missed in advance of nearly zero three 0% pops. And yet they had convection that formed. So I have a picture of the visible immature during the course of the day.

00:02:57:17 – 00:03:20:02
Speaker 2
I’ll just let this animate a couple times so you can see what’s going on. And to kind of familiarize yourself. The convection actually starts at the end of this after sunset, over north western Pennsylvania and Erie County and then moves into the Buffalo forecast office. Region of responsibility. And there are a couple of interesting things here.

00:03:20:03 – 00:03:34:18
Speaker 2
First of all, you’ll notice at the beginning of the animation or at the end of the day in the animation that the sun is going down, the daytime cumulus over Pennsylvania is dissipating, but right along the lake.

00:03:34:21 – 00:03:46:05
Unknown
In northeast Ohio, it’s not. So there’s some evidence there that, maybe there’s a little bit more instability there. The atmosphere is just a little bit more unstable, that you might.

00:03:46:05 – 00:04:06:21
Speaker 2
Be a little more wary about, having a pop of near zero. So I’m loading this image and looking at it, hoping to find something to tell Buffalo to say yes. Here’s something you could have seen to help your forecast. And I really haven’t found anything. Let me just speed this up and I’m going to rocket now instead of, looping it.

00:04:06:21 – 00:04:25:26
Speaker 2
Hopefully this is, animating somewhat cleanly. You can see the URL up in the upper left. If you want to look at this yourself. So it’s for the SSH sphere that was started. Edu tilde Scott l Buffalo flash goes 13 dot HTML. But one thing I thought was really kind.

00:04:25:26 – 00:04:32:25
Unknown
Of interesting is that, the convection seems to form, you see this band of.

00:04:32:25 – 00:04:47:17
Speaker 2
Middle of a cloud that’s oriented northwest to southeast. I’m sorry, northeast to southwest. It’s kind of a gray scale over Lake Erie. Just above the 3.9 micron imagery kicks in after the sun has gone down.

00:04:47:20 – 00:04:54:13
Unknown
And when that mid-level moisture intersects what looks to be like the,

00:04:54:15 – 00:05:14:24
Speaker 2
A lake breeze front that gets coming over the lake, that’s where the convection starts. So there’s some evidence here that you can kind of describe what’s going on. Whether or not you could have used this in the near time, in the near real time to help you make this forecast, more alert due to the possibility that there’s going to be convection.

00:05:14:24 – 00:05:21:22
Speaker 2
I mean, you have these intersecting boundaries. And we all know that that’s a region where convection sometimes forms.

00:05:21:22 – 00:05:25:23
Unknown
But the interesting things with the interesting thing with this, these two boundaries.

00:05:25:25 – 00:05:51:03
Speaker 2
They seem to be a different levels. I mean, we have the boundary layer, cumulus along the lake front in northeast Ohio. But this system that comes up, from the this system comes up seems to be a lot higher. I also thought, well, you know, we have the sounder data out there. So here we have a picture of the three different sounder channels from Goes from Goes 13.

00:05:51:03 – 00:06:19:24
Speaker 2
These are available in a. What’s that. This is these this particular presentation. These are not taken from a website. But we’re looking at the 6.5 micron on top, the 7.0 micron on the bottom and the 7.4 micron on the the 7.0 micron in the middle and the 7.4 micron on the bottom. And again, we’re looking for, you know, when to use these to look for, things that might force convection.

00:06:19:27 – 00:06:45:15
Speaker 2
I’m always looking for a region that’s a little bit drier aloft. And maybe some differential advection. And I’ve stared at this for quite a while. I and I’m not really sure that I can see, any kind of trigger that I could have identified in real time and saying, oh, look out for this thing coming. It’s going to force convection, certainly in the middle here.

00:06:45:18 – 00:06:52:03
Unknown
You see, there’s a convection. And I mean, the fact that the convection is forming.

00:06:52:06 – 00:07:19:21
Speaker 2
Here over, northwest Pennsylvania, just on the nose of some moisture coming in, that’s a mid-levels is detected by the 7.0 micron, but again, not something that I’d be feel comfortable, saying, you know, not something I feel comfortable making a forecast on. So I’m going to put the visible part back up here and just ask if anyone sees anything else on this, that really jumps out at them that I’ve missed.

00:07:19:21 – 00:07:47:29
Speaker 2
That would be a good thing to, to help make a forecast. And I guess I’ll ask the, listener up in Alaska. Hopefully this is, hopefully you can see the animation here rocking back and forth. If you can’t, it’s going to be difficult to draw any conclusions from it, but, do you see anything on here that really jumps out at you?

00:07:48:01 – 00:07:48:09
Unknown
You know, I.

00:07:48:09 – 00:08:03:12
Speaker 2
Got a really jumpy video right now. Yeah. Got it. I think it might help if you stop that manually. Just advanced through because I, I mean, here even I get, okay. Like every eighth.

00:08:03:13 – 00:08:08:15
Unknown
Image. Wow. Okay. So, the couple of.

00:08:08:15 – 00:08:17:04
Speaker 2
Things that I’ve noticed here, I’m going to get, I’m going to zoom towards the end. So we have this, what looked to be some kind of lake,

00:08:17:06 – 00:08:21:27
Unknown
Lake breeze front from north western Pennsylvania, back.

00:08:21:27 – 00:08:28:11
Speaker 2
Down toward Cleveland. But then we have this band of mid-level clouds that’s going to be propagating.

00:08:28:14 – 00:08:33:03
Unknown
To the east. And when those two things intersect, that’s really when the.

00:08:33:03 – 00:09:01:09
Speaker 2
Convection starts to take off. So here we have that level of mid-level clouds. And this is the, 30 minute jump, I think, between 2345 and 0 zero 15. But it does look like the clouds are expanding. It’s I’m always a little hesitant to make that a conclusive statement as the sun angles changing, because how much, light is being scattered back and really change depending on what kind of cloud you have at sunset.

00:09:01:09 – 00:09:24:26
Speaker 2
But we have these two regions of and it’s cloudiness along the lake breeze front in Pennsylvania. And then we have these I would call them more mid-level clouds. And you can see some texture to them as it’s getting darker and darker and darker. And then we’ve, we’ve switched to 3.9 micron now. So this is where we saw the texture.

00:09:24:28 – 00:09:44:05
Speaker 2
I’m pretty sure that’s not where the convection is going to grow out of, so here we have some brighter clouds. So a little bit of enhancement just crossing into extreme north eastern Ohio. And if I remember right, that is the convection. That is where the convection really starts to fire. So I’m going to step this backward.

00:09:44:07 – 00:09:48:16
Speaker 2
So here we have that region in Northeast Ohio.

00:09:48:18 – 00:09:54:24
Unknown
See if I can trace that back. So that’s in here. Now. And if we.

00:09:54:27 – 00:10:10:26
Speaker 2
Keep following that backwards now, I think we’ve fallen victim to this 30 minute gap at 2345 here. But there’s certainly some interesting interaction here between these two layers of clouds. Something in there is helping to form this convection.

00:10:10:26 – 00:10:16:09
Unknown
So, so Buffalo, ask me for an answer and I get and I just get from the.

00:10:16:09 – 00:10:36:10
Speaker 2
Data and said, well, what do you see here? It’s really difficult in this case, I think, to use, the satellite data to give you a better feel for what’s going on, because the model from this case, we’re dry. And that was one of the reasons they went for a mostly dry forecast. So. Any questions on this case?

00:10:36:10 – 00:11:00:03
Speaker 2
I have another one, that Dan talked about this morning. And I’ll show some of it as well over the plains. And I skirt this is the other Brian. And the visible, it looks like there were, there was a lake branch boundary and right outflow boundary. They were colliding. So. Yeah. Here’s the lake freeze boundary.

00:11:00:05 – 00:11:04:18
Unknown
And there was convection farther to the south.

00:11:04:21 – 00:11:25:00
Speaker 2
So we have, you know, we have convection. There are all sorts of little boundaries up here. I think the lake grounding is a big one. But then we have one to the south, one to the north here. And then these middle of a clouds that eventually come in and, the one they intersect. I don’t know if that’s coincidence or not, but when they intersect, that’s when the convection starts off.

00:11:25:02 – 00:11:52:02
Speaker 2
Right. And then in the sounder imagery, the, the 7.0 in the middle there, right there, is that that yellow area in that proximity in the middle of the blue and which I can’t stop, unfortunately, which is like right there. Right there. Yeah. And the yellow area, it would be dry or warm. So the, moisture is a little bit suppressed down in the atmosphere.

00:11:52:02 – 00:12:16:00
Speaker 2
So, that would be something that you would think of promoting convective instability. I also looked at the near crust product that uses these fields. And there was, you know, convective instability in this in this event, the the difficulty was identifying the trigger that was releasing that instability. I mean, you can see that it’s released, but what’s the trigger?

00:12:16:02 – 00:12:47:11
Speaker 2
And that was that was that was Buffalo’s question. It was really difficult in either the sounder imagery here or the imager, visible data to identify it to, you know, definitively identify a trigger. Right. Well, between the colliding boundaries and if you look at the lowest level, which is from the lowest level, sounder imagery, you also see that orange area and the same approximate location as the metal, right.

00:12:47:13 – 00:13:18:10
Speaker 2
And it becomes more diffuse with time. But right over, say, central north central Ohio, like right in through there, western, the western, part of New York state. It does seem to be, a warmer like, more subset in or like there could be, shortwave embedded in there that maybe the models didn’t pick up on or.

00:13:18:16 – 00:13:36:13
Speaker 2
Right. And the question is, if you looked at this with this be enough for you to look at the model data and say, no, this is too dry, I’m going to increase my pops, and I’m going to say that it’s not, there’s really nothing in here that’s jumping out at me that says, this is what’s going to cause the convection.

00:13:36:16 – 00:14:01:29
Speaker 2
Maybe I should increase the parts. And that was Buffalo’s question. It was. So it’s kind of a hard thing to although now that they were they tracking like the her or any of, wrap it up, they I believe they said they were looking at the her it quoted the 18 zero one of the her. You know the the her at 18ft.

00:14:02:06 – 00:14:35:02
Speaker 2
So they may have been that started to show something and and they say in this email the founder of a sounding from zero think Buffalo, was kind of blah. Like you say, there are all sorts of boundaries everywhere from all these different mixes that were forming, during this week. It’s just an interesting case where one of them obviously put out enough of an impulse at some level that it’s to be, to be to be determined.

00:14:35:04 – 00:14:39:14
Speaker 2
That it formed the convection. So.

00:14:39:16 – 00:15:10:17
Speaker 2
Well, we had, we had a similar event here, Monday night where there was, there was a shortwave and there were lots of colliding boundaries. The combination of the two was enough to, to trigger some pretty good convection, so. And but what were the pops? I mean, the parts were, like, 20%. Okay. And the and it ended up they put out some severe thunderstorm and flash flood warnings for us.

00:15:10:24 – 00:15:37:15
Speaker 2
Okay. It’s a similar sort of event. The the trigger was a little more obvious, but, you know, this is a little bit more subtle than, than our event here on Monday. It’s very subtle. Yeah. But this is just, Okay. This is the one case I wanted to talk about. And the other one is actually on the Sims blog.

00:15:37:17 – 00:16:07:05
Speaker 2
This was an isolated thunderstorm. Over, Nebraska. So let me just open up this in one page link. And again, these are unfortunately animated GIFs, so they are not going to be, something that is animating nicely. But I hope you, I hope, you can look at it later. Brian up in Alaska and take a look at this.

00:16:07:05 – 00:16:31:15
Speaker 2
And this is an interesting case because we had this isolated storm, forming in a fairly pristine environment. Pristine, meaning there’s not a lot of competing convection around it, and there’s not a lot of cirrus obscuring the view. So you see the beautiful development, very strong convection. And the prob severe here was, influenced a lot that’s shown on this particular image.

00:16:31:15 – 00:17:02:20
Speaker 2
Again, this is not an image I can stop. But the interesting thing about this case, which this storm dropped, baseball sized hail, is that the mismatched mesh was never more than about an inch, which is, I don’t know, Nicola, much smaller than baseball, let’s say nickel or quarter sized hail. But even though the Ms. was pretty slow, pretty low, the prob severe product still got up into the 90% range.

00:17:02:22 – 00:17:08:13
Unknown
And it was greater than 50% when the warnings were issued because the.

00:17:08:15 – 00:17:40:29
Speaker 2
Environmental parameters, the cape and the shear and the satellite growth parameters were very indicative of severe weather. So this is a this is a nice case for prob severe because it shows how using multiple, data sources, you can I guess overcome the shortcomings of one of the sources if your other two sources are really indicating something interesting might be happening.

00:17:41:02 – 00:17:42:18
Speaker 2
So.

00:17:42:20 – 00:17:47:09
Unknown
Even though so even though the Ms. mesh was.

00:17:47:12 – 00:18:13:07
Speaker 2
You know, kind of blasé on this particular system, the prob severe because of the other parameters that it includes. And I guess this is again a benefit of future data products. It was, you know, pretty bullish on this particular system. So guys can zoom in on that a little bit. And what was the verification on that baseball sized hail?

00:18:13:09 – 00:18:35:11
Speaker 2
Okay. I’m not quite sure when it happened in in riffle in relationship to when the warning was happening. I know it happened while the warning was in effect. I don’t know how much lead time it had. But you can see that the prob severe it gets up to 80% and then the warning goes out and then the hail falls.

00:18:35:13 – 00:18:53:10
Speaker 2
So it’s a, a good example of why you want to look at more than one data product when you’re monitoring a particular system.

00:18:53:12 – 00:18:57:08
Speaker 1
Okay. Any questions for Scott?

00:18:57:10 – 00:19:09:03
Speaker 2
You know what, Scott? What radars were contributing to that? To the Ms.. Yeah. No, there’s no way of knowing me, knowing that.

00:19:09:05 – 00:19:20:24
Speaker 1
Well, Brian, I know there’s only one that’s close to that storm. The next one overall would be pretty far away. The one that, for the North Platte WFO is just a little north of that storm.

00:19:20:27 – 00:19:22:28
Speaker 2
Right.

00:19:23:01 – 00:19:36:03
Speaker 1
Okay. If there’s no more questions, I’m going to turn it over to, Scott Brockmire, who is also at Simms at Wisconsin.

00:19:36:06 – 00:19:40:09
Speaker 2
Okay.

00:19:40:12 – 00:19:45:04
Speaker 2
So hopefully you see if there is true color image on your screen.

00:19:45:07 – 00:19:46:17
Speaker 1
Yeah, I see it.

00:19:46:19 – 00:19:51:02
Speaker 2
All right. You probably heard that a lot of Canada is on fire.

00:19:51:04 – 00:19:56:00
Unknown
And I’m gonna.

00:19:56:03 – 00:19:57:17
Unknown
Show you three days.

00:19:57:17 – 00:19:59:00
Speaker 2
Worth of color.

00:19:59:01 – 00:20:05:16
Unknown
Imagery from Weber’s instrument. So here is July.

00:20:05:19 – 00:20:11:24
Speaker 2
13 in advance. Wednesday.

00:20:11:27 – 00:20:15:15
Unknown
And we can see a huge increase.

00:20:15:18 – 00:20:28:29
Speaker 2
In the aerial coverage of the haze units, which is the smoke and have advance one more day, they went farther.

00:20:29:02 – 00:21:03:27
Speaker 2
So beginning on the 13th here, 14th. And then here’s some yesterday. So we see a huge amount of smoke up there. And it’s often a challenge to see, you know, where are these hotspots. And ellipse I wanted to show an example of, how to look for hotspots with high spatial resolution imagery, kind that we get from a beer’s instrument.

00:21:03:27 – 00:21:44:26
Speaker 2
So here we’re looking at this shortwave air. And we can see a lot of hotspots here in British Columbia. And I wanted to do a, a toggle. Between this image here. Which is at a resolution of one kilometer. And then it goes image, which is a four kilometer Earth, the equator. But when you’re looking at a large angle necessary here, I would say that it’s probably almost like an eight kilometers.

00:21:44:26 – 00:21:48:06
Speaker 2
So I will toggle.

00:21:48:08 – 00:22:31:28
Speaker 2
This we are localized to goes east. Here’s our our boundary here. So everything east of here is from goes east, and everything west of here is from the west. Satellite. But if I thought if I toggle. Oops, what I just do, I turned everything up. That wasn’t a good idea. Okay, I think I have it back. So if I, if I toggle for you, if I have a look at this one here, it’s obvious that the air temperatures are a lot hotter on the viewer’s image than they are on a it goes image.

00:22:32:01 – 00:22:58:00
Speaker 2
And you could also make that argument, on this one here where we have much hotter temperatures and you can see a lot more details about, you know, exactly where is the perimeter of the hotspot. And so you get a lot more value for it. So when you’re trying to look for these things with higher spatial resolution imagery.

00:22:58:02 – 00:23:32:16
Speaker 2
And so, you know, the only way that you can get access at this time, unless you’re up in Alaska is through the, however, it’s not a huge amount of data. And so we are encouraging options if we don’t have it, yet actually added it to their into their LDN because I think it would add a lot of value to what you’re able to see using just because imagery.

00:23:32:19 – 00:23:55:15
Speaker 2
So I’m going to ask Brian up in Alaska, this is in your ellipse, isn’t it. Because I know yeah we get it through region. Right. So, have you been impacted by the smoke or does it not make it up over. I mean, we haven’t had any, offshore flow since the fires really blew up, right? So it’s all the east of the Earth.

00:23:55:15 – 00:24:00:21
Speaker 2
Good.

00:24:00:24 – 00:24:05:09
Speaker 2
That’s all I had. Okay. All pass. So on to the next person.

00:24:05:12 – 00:24:15:06
Speaker 1
Okay, I’ll turn it over to Bernie Connell here. Next. Who is that? Sarah.

00:24:15:09 – 00:24:49:23
Speaker 2
Okay. Hello. Can you see my screen? There it is. Okay. Actually, this is current, rams just online imagery. And so where does the smoke going from some of the fires that’s got chewed. And actually right now, because the smoke is, quite extensive, being quite thick, you can see it up here, in northern Montana and in the southern provinces of Canada here.

00:24:49:25 – 00:25:15:14
Speaker 2
And actually, I think in these valleys, too, you can see some smoke, but and this is actually getting to mid day where it’s harder to see, so I’ll show here. Let me just a misstep. I wanted to turn this off to see if I could claim that again. Nope. Not that one there. And I’ll start this looping.

00:25:15:14 – 00:25:24:19
Speaker 2
This is from earlier in the day, and, I’ll try and zoom in a little bit here.

00:25:24:21 – 00:25:49:20
Speaker 2
And what go this because it’s animated is taking advantage of is, more frequent imagery. And with our visible imagery, especially looking at it from those west for the satellite is down and off to the southwest near the equator at 135, and the sun is off to the east and northeast, especially early in the morning, rising more to the north.

00:25:49:20 – 00:26:10:20
Speaker 2
At this time of year, we have a, a great viewing angle, a long parallel type viewing angle where with these small particles there’s a lot of, scattering and we can see the smoke pretty well. But as you can see as that, time goes on, the smoke, especially on some of the thinner plumes, seems to be dissipating.

00:26:10:20 – 00:26:41:09
Speaker 2
It’s not really, but, it’s a good thing to use if you need to, get indicators of smoke. And the next thing I’m going to show is from something in early July. And it was actually, you know, based on a Fort Collins here. And I came in on, I think it was July 1st, and I saw that we had been having a lot of moisture, which is little unusual for us, but it was also hazy.

00:26:41:12 – 00:27:13:01
Speaker 2
And on that particular morning, the haziness had a reddish cast cast to it. So we were getting that low sun angle, a, distortion of the wavelength and seeing reddish. And so I looked at the imagery and sure enough, I’ll animate this here, and you can see right in through here, it looks hazier and then tends to lighten up as the day goes on.

00:27:13:04 – 00:27:39:28
Speaker 2
And it moves back in through here. And so, thinking, okay, with the forward scattering, I wonder if we could see this with the doses from the day before, because for them, we suppose east being at 60 on the equator and then the sun setting to the west and northwest. That’s a good viewing angle for late in the day.

00:27:40:00 – 00:28:14:13
Speaker 2
And when I looked at this one, here’s earlier in the day and as we view it, if we’re focusing up in this region later in the day. Yeah, we can actually see where it’s, getting hazier looking. And as it was looking at this, there’s another feature that seems to be showing, some haze and it’s down in this, Gulf region, there’s a little U-shaped U shaped tube.

00:28:14:15 – 00:28:36:26
Speaker 2
And then also in this middle region here, in Nebraska. And I’ll stop here and let’s go back and highlight this. And so then I said, okay, well, where are the fire? Where is all the smoke coming from? I wasn’t sure where this was coming from the south, but this there were some fires in New Mexico and Arizona.

00:28:36:28 – 00:29:03:10
Speaker 2
So I looked at, first I looked at, then NWS air quality web page and this one, actually, I don’t have the one from that day, but this is showing today. And you can see here the smoke projections for today from and the national digital guidance for it. And you can mouse over them and see the very what’s actually happening to the smoke during the day today.

00:29:03:12 – 00:29:26:18
Speaker 2
But so I went and I’ll show you the one here for similar type thing, but from a different, NOAA page that has the same information. And so this is for June 28th. So what I just showed you was from July 1st, looking from Goes West, and then June 30th is looking from goes East.

00:29:26:22 – 00:29:50:26
Speaker 2
So this is the 28th. And so again we see the fires from Canada and a lot of the smoke is going east as we go on the next one you see some of it is starting to itch further south. This is for the 29th. And on the 30th it’s gotten a lot more to the south. I’ve been on Wyoming, and then you can also see the smoke ban from, the fire in New Mexico and Arizona.

00:29:50:29 – 00:30:13:24
Speaker 2
As we go to the seventh, we can actually see that it did go down over, Colorado. And but I wasn’t seeing that little plume here over the southeast. And so I looked at their text product, which I’ll show you the page here. But, this is for today. And actually, amazingly, there’s some dust for today.

00:30:13:24 – 00:30:41:06
Speaker 2
And I saw that they had highlighted for, similar to today, that there’s Saharan dust is visible moving northward across, southern and central portions of the Gulf of Mexico. But here for that particular day on the 30th, they were saying it was coming into Texas. And wrapping around into Louisiana. And this comes off of this page right here, which is the hazard mapping system, fire and smoke products.

00:30:41:09 – 00:31:20:05
Speaker 2
So you can get some clues, by looking at the imagery and thinking of what’s happening with the ghost imagery. And if it doesn’t make sense, you can look at some other products or go to one of these pages and and see what the other experts are saying about. But, in terms of the dust, I had been on an international, call the week previous, and we had actually been looking at, some Saharan dust crossing, this is the Arab dust product and that the European Jews and I know that sport is produced in it.

00:31:20:07 – 00:31:42:19
Speaker 2
And I’m not sure if you get this up in Alaska, you might use a similar one for some volcanic ash detection using some of the same channels, especially they’re available on, polar orbiting satellites like bears and, Motus. But if I animate this here, we can see that the stronger pinks are showing where the dust is the deepest.

00:31:42:19 – 00:32:16:15
Speaker 2
And then this continued moving east and up into the, the Gulf region. So, and I tried looking at a modest space product over the, Gulf of Mexico for that day, but I didn’t see any really obvious indications of dust. So it was one of those things where, I think because of the the moisture haze at lower levels, that might have been, averaging out some of the effects of the dust because they have opposite effects.

00:32:16:17 – 00:32:44:06
Speaker 2
When you do a 10.7 and a 12 micron difference, sort of neutralizing the effect. So that’s what I have. Any questions or comments or particularly from the Alaska region or Bill over on the call as well.

00:32:44:08 – 00:33:13:00
Speaker 2
One of the things we, Scott Buck Meyer to do, but in terms of smoke, I know sometimes I asked Curtis about, if he had any recent images of the, day band and using that for smoke grading. He said he didn’t, and then I didn’t have a chance to check with Steve Miller for today.

00:33:13:03 – 00:33:36:27
Speaker 2
The problem with the day night band up in Canada and Alaska at this time of year is, you’re frequently in the region between day and night. Okay. So, yeah, we want. Yeah. Okay. So it can be difficult. I know they have a new, enhancement that’s to supposed to mitigate that issue a little bit. I don’t know if it’s been released to Alaska.

00:33:36:29 – 00:33:52:05
Speaker 2
But, yeah, down here where it’s actually dark at night. Yesterday night, that band is pretty useful for detecting smoke. Okay.

00:33:52:07 – 00:34:03:21
Speaker 1
Juno. I know fog could be an issue up. There are times when you’re climatological peak for fog up there.

00:34:03:23 – 00:34:21:12
Speaker 2
Usually in the winter, we’ll have long stretches of, you know, a dense fog because, you know, in any sun makes it out. But, just like, advection, fog from the ocean, it’s, usually, July, August time frame.

00:34:21:15 – 00:34:36:17
Speaker 1
Right. Maybe let me, make, Scott XL the presenter here. Scott, maybe you could just, show the, fog blog page that you have.

00:34:36:19 – 00:34:48:14
Unknown
Okay. So. There are some fog product examples.

00:34:48:17 – 00:35:06:13
Speaker 2
For the are fog product, which is a like the prob severe is a fuzed product that looks at both the brightness temperature difference, the emissivity. It looks at lakes, sea surface temperature and more importantly.

00:35:06:13 – 00:35:11:03
Unknown
It uses rapid refresh and moisture information. And the lowest.

00:35:11:05 – 00:35:27:22
Speaker 2
Km. So when you have multiple cloud levels and the brightness temperature difference just isn’t being very useful. The IFR probability, is a lot more, I guess is a lot more useful.

00:35:27:25 – 00:35:34:01
Unknown
And if you go to this particular blog.

00:35:34:04 – 00:36:04:02
Speaker 2
Which I’m having trouble finding my. Okay. And there are there is an Alaska tab to see cases that are, particular to Alaska. Some of this, a lot of it has to do with the resolution when I’m talking about Alaska, because, as you can see, what’s looping right here is the difference between Motus and goes on the north shore of Alaska and of course, there’s a huge difference in pixel footprint there.

00:36:04:05 – 00:36:12:23
Speaker 2
Oops, I didn’t get it. There.

00:36:12:26 – 00:36:28:05
Speaker 2
So that’s a that’s a resource for you. If you want to see a little bit more about the, the IFR probability fields that they believe that are in your system. Yeah, we use those as well. Yeah.

00:36:28:07 – 00:36:37:17
Speaker 1
Okay. Well any other questions or comments before we, conclude for the day?

00:36:37:19 – 00:36:41:19
Speaker 1
Okay. Well hearing none thanks everybody for attending and have a great day.