Regional and Mesoscale Meteorology Branch

00:00:00:04 – 00:00:25:06
Speaker 1
So welcome to today’s, visit Satellite chat. And, today we’re going to talk about some recent events that have, influenced the Conus. This afternoon’s, satellite chat at, 2030. We’re going to be talking about some Alaska products, a couple different Alaska products. So afternoon, Alaska. And for right now we’re going to talk about some events that influenced the, lower 48 here.

00:00:25:06 – 00:00:54:09
Speaker 1
So the first event we’ll talk about was this atmospheric river event that really heavily impacted, the, the coast, the west coast of California, Oregon and Washington. So what I’m showing right here is the blended product at, about zero C on the 11th of December. And you can see the atmospheric river here, the maximum in the TP coming into the coast of California and then, further northward here as well.

00:00:54:11 – 00:01:17:09
Speaker 1
And then the other thing I overlaid here was the 850 Millibar, wind, ice attacks from the GFS. So you can see the, the very strong winds at lower levels helping to attract the moisture, into the coast here. Just to put this in perspective here, how anomalous this is to some extent, we have a product called the percent of normal.

00:01:17:12 – 00:01:42:29
Speaker 1
TP, and the scale is up here. So the 100% is this transition from brown to, light blue, 150% is, the darker blue and then 200%, which is the cap for this? Once it gets above 200, it’s just kind of capped at 200, but that’s in the yellow. And it gives you an idea of the anomalous, anomalously high precipitable water, that was coming in.

00:01:42:29 – 00:01:47:22
Speaker 1
And you can see it nicely outlined as it moves into the, West Coast here.

00:01:47:24 – 00:01:55:18
Speaker 2
And I have a question for dam, dam, how many years is this percent of normal based on? Do you remember?

00:01:55:21 – 00:02:22:14
Speaker 1
Yeah. It was, I think it’s around. John Forsythe told me once it was, it was, what’s it called that, reanalysis, reanalysis data set. And that does that sound right in that data set? It’s it’s at least ten years, but it’s based on the that, data set. So it is for a while.

00:02:22:14 – 00:02:43:02
Speaker 1
It’s not just, you know, a couple seasons. Okay, let’s go on and look at the radar at this time. And as you might suspect here, a lot of rain over a large area. And oftentimes one of the questions that you have is, what are some of the, localized amounts where where are you going to get some of those localized higher amounts of rainfall?

00:02:43:09 – 00:03:10:23
Speaker 1
And of course, one of the things that’s, driving that is the topography. You look for these areas of enhanced upslope flow into these coastal ranges, for example, you can see, from central California up to northwest California. You can you can see the various ranges here. And one of the things that, is available out there, to help, in terms of look at here is the array product already stands for orographic rain index.

00:03:10:23 – 00:03:39:11
Speaker 1
And and Warren Center and SoCal is next to me here. An email, asking about aura, around the time of the event here and, yeah, essentially the orange product here is the, the the dot product of the moisture. It’s the blended product times, the gradient and the height field or the, the elevation gradient here.

00:03:39:11 – 00:03:47:13
Speaker 1
So it’s the moisture times V dot del H, and the V is the 850 millibar wind, from the GFS.

00:03:47:15 – 00:03:59:16
Speaker 2
And, I, I’m not very versed in California geography, so I don’t know which of those capes we’re looking at. So can you, I mean.

00:03:59:19 – 00:04:09:22
Speaker 1
Yes, this is Eureka CWA, by the way, and Eureka is right here. This is Cape Mendocino, that’s northern California, that’s northwest L.A. Fornia here.

00:04:09:25 – 00:04:11:00
Speaker 3
The topography first.

00:04:11:03 – 00:04:18:12
Speaker 1
And that’s we’re looking right here in the Eureka CWA approximately.

00:04:18:15 – 00:04:21:20
Speaker 2
So. And Warren is encouraged to jump in and. Yeah.

00:04:21:22 – 00:04:45:16
Speaker 1
So yeah. I just wanted to explain this a little bit first. And, just to note that higher order values are areas that would be highlighted for a greater enhancement to the orographic. So so think of it as a higher probability of orographic enhancement to precipitation that’s occurring. And and this is produced every three hours. It’s a three hour forecast.

00:04:45:18 – 00:05:08:10
Speaker 1
And as you loop along here, you can see various times where it’s, highlighted more along the ridgeline. So it’s taking into account the wind speed and direction, as well as the moisture and highlighting areas, where you would expect higher orographic enhancement. And that’s the key. It doesn’t account for the larger scale, contribution to rainfall that may, albeit really be occurring.

00:05:08:17 – 00:05:14:28
Speaker 1
It’s the orographic enhancement to the precipitation. Did you want to add anything? Additional add.

00:05:15:00 – 00:05:30:18
Speaker 3
I think maybe we could ask Warren. Warren, are there issues? I mean, do you have real obviously have real time issues with determining how much it rains, but is there an issue in figuring out how much it’s raining in these higher terrain areas?

00:05:30:20 – 00:06:10:18
Speaker 4
Well, down in my CWA versus the next one to the south from Eureka. It depends a little bit. The, a lot of our counties have, been contracting with a private provider to, establish kind of high resolution precip and stream gauge networks. And, at this point, if they’re, you know, kind of a more widespread deployment in some of the counties and the other cities, like, for example, in Monterey County and Big Sur Coast, got a pretty good idea of what’s going on in some of these, higher precip locations in Sonoma County.

00:06:10:20 – 00:06:19:01
Speaker 4
Ended up in the wine country and our northern area, not so much a variance a little bit depending on exactly where we are.

00:06:19:04 – 00:06:30:03
Speaker 2
This is Brian. I was in, Eureka CWA, and, yeah, most of those areas, we have a hard time determining unless there is a rise site, what kind of precip actually occurs.

00:06:30:06 – 00:06:32:07
Speaker 1
Okay, that’s a great question.

00:06:32:09 – 00:06:48:20
Speaker 4
And, yeah, one of the examples I sent to, as from last Thursday about, you know, a remote gauge, high terrain above the picture curve, you know, three inches in one hour was reported by, one of the gauges.

00:06:48:22 – 00:06:51:09
Speaker 1
Wow. That’s a lot, right?

00:06:51:11 – 00:06:57:05
Speaker 3
Yeah. We should probably follow up and try to look at that gauge compared to what we found with the RV. I think we could still do that. Right? Right.

00:06:57:05 – 00:06:58:05
Speaker 2
That would be.

00:06:58:07 – 00:06:59:17
Speaker 4
Yeah. Interesting comparison.

00:06:59:17 – 00:07:01:16
Speaker 1
Do you remember what gauge that was off the top of your head?

00:07:01:22 – 00:07:03:02
Speaker 3
I got it sent to me.

00:07:03:04 – 00:07:24:29
Speaker 1
Oh, you got it in the email? Yeah, yeah. Okay. One one gauge that I believe is in your CWA. This is, at Ben Lamont. It’s, and one of the, as a West site. It just did a time series. The maximum within 15km of that site. It’s plotted up here versus the precipitation rate that was being reported.

00:07:25:01 – 00:08:02:15
Speaker 1
And I just have it plotted. These are hours from six Z on the 12. So just going backwards in time here from that particular time. And you can see that as, as it’s ramping up, up to these maximums here. You can see the increase in precipitation. And of course, the caveat to remember here is this the orographic enhancement to the precipitation that could be occurring if it’s already raining, you know, a lot due to synoptic scale forcing, whatever the larger scale effects is, doesn’t account for that is just simply, the upslope enhancement that may be occurring.

00:08:02:18 – 00:08:05:02
Speaker 4
What’s the resolution of topography of the Ori?

00:08:05:07 – 00:08:08:12
Speaker 1
One kilometer. So it’s a one kilometer, product.

00:08:08:14 – 00:08:11:15
Speaker 4
Yeah. Okay.

00:08:11:17 – 00:08:32:09
Speaker 3
Well, I guess since we have two of these guys who’ve been forecasters, you know, one from Eureka and and Warren, I don’t know. So what what do you as formulated now from what you see with the Ori in that just say example. And we do have some ideas for making it better. But do you think something like this is at all useful?

00:08:32:09 – 00:08:40:18
Speaker 3
I know that read our coverage, you know, gets probably worse. And this higher terrain right?

00:08:40:21 – 00:08:56:21
Speaker 4
Yeah. It raises all sorts of issues with, radar coverage along the West Coast. Mountaintop sighting, distance from the radar, you know, blockage. It’s a myriad of issues.

00:08:56:23 – 00:09:11:09
Speaker 3
Do you think something like the it’s an index. It’s not a, you know, an actual amount. It’s sort of intended I guess, to, to highlight areas where you, you might want to be concerned with, I guess.

00:09:11:12 – 00:09:24:12
Speaker 4
You know, an interesting version of this or between that and, you know, short range output from, high risk numerical models with which hopefully would be picking up the same sort of thing.

00:09:24:15 – 00:09:49:24
Speaker 3
Right. And in fact, I guess you could, you could use them and compare them, and see if the, the model is, looking at, you know, also highlighting the, the same areas. Yeah. We’re struggling sometimes to it to, you know, as you know, or, and because we, we harassed you didn’t find a time, but, you know, get people to evaluate this, product.

00:09:49:26 – 00:10:07:00
Speaker 3
And one thing we want, we know that there’s a limitation with using just 850 wins, and we’ve we’ve now got in control of it here a little better. And we want to we were thinking of doing, more of a height above ground, layer average based on the her perhaps more.

00:10:07:02 – 00:10:12:11
Speaker 4
I probably race along the West Coast. I’m probably more inclined to use line 25.

00:10:12:13 – 00:10:14:14
Speaker 3
Yeah, yeah. What about.

00:10:14:14 – 00:10:25:09
Speaker 4
The topography is typically going if going up to somewhere and, you know, 2500 to 5000ft range.

00:10:25:12 – 00:10:43:17
Speaker 3
Yeah. We were thinking, you know, one thing about using a layer average, you know, above ground level might be we didn’t pick up the more inland mountain ranges to right now with 850, for instance, where we’re below ground once we get farther in. So we don’t even show an Or product farther in, you know what I mean?

00:10:43:19 – 00:10:46:21
Speaker 3
Right? Yeah. So, oh, we were.

00:10:46:22 – 00:10:50:01
Speaker 4
Saying 850. You mean at 850 or the layer mean octane?

00:10:50:02 – 00:10:53:10
Speaker 3
Oh, you mean at 850 right now is what’s being used? Yeah.

00:10:53:11 – 00:10:54:26
Speaker 4
Okay. Yeah, that may be a little high.

00:10:54:26 – 00:11:02:28
Speaker 3
So it’s a little high. And then as you go in it’s actually then it’s it below ground in some of these areas, you know. Right. Yeah. Yeah. Yeah. So we have I was.

00:11:02:28 – 00:11:03:18
Speaker 2
Thinking certainly.

00:11:03:18 – 00:11:17:22
Speaker 3
Along the coast. Right, exactly. Yeah. So well, I mean, do you think the office would be interested in trying trying this again? I know what you said. It wasn’t on your website at the moment again. But if we make some of these improvements.

00:11:17:25 – 00:11:19:06
Speaker 2
You know,

00:11:19:08 – 00:11:44:00
Speaker 4
You know, I think, it realistically, from an office standpoint, if this is true for so many things, you know, being on a website versus not being on a website actually makes us think a difference in terms of use, operational and testing, especially when things get busy. And if it means going to, you know, a myriad of different websites for the different things that can get all of back work.

00:11:44:03 – 00:12:07:10
Speaker 1
Let me ask this. Do you think it’s, valuable now as an index? Because one thing we could do with this, we could make it into a preset if we used, some additional model output, say, from the her, if we made some, assumptions about preset efficiency and, vertical distribution of, moisture, we could turn this into a preset.

00:12:07:13 – 00:12:14:26
Speaker 1
Would that be more useful to you or maybe a little bit less so since there’s more model into it?

00:12:14:29 – 00:12:16:25
Speaker 4
Not offhand. I’m not sure.

00:12:16:27 – 00:12:17:18
Speaker 1
Not sure. Okay.

00:12:17:20 – 00:12:22:20
Speaker 3
Yeah. How about a Brian? Do you have any thoughts on this or.

00:12:22:23 – 00:12:33:21
Speaker 2
I’d be hesitant trying to assign values to it, but we would use it. Like you were saying before. See where the threat areas were, where we had, you know, higher rainfall rates.

00:12:33:23 – 00:12:52:20
Speaker 3
Yeah. Thanks. I think that’s what we’d be more inclined logically to do. And and the, the, the the one, if, you know, it means you might have over a model. I mean, it’s directly using the p-w. And we know the models probably use that as an input. But but you know, it does other stuff too. So and it’s a short term thing.

00:12:52:24 – 00:12:57:14
Speaker 3
Well, that that’s very good input actually. It’s I’m glad both of you guys are on today.

00:12:57:17 – 00:13:11:27
Speaker 4
You know, this also, the nexus for layered p.w. I wonder if there could be. So you just use like the is thousand 850 of layer rather than the total BW.

00:13:12:00 – 00:13:28:09
Speaker 3
Yes, we we have thought about that as well. Yeah, that’s a good that’s a very good point really to talk about. Yeah. Well any, any other comments on this. We were going to move on to, something else.

00:13:28:11 – 00:13:29:14
Speaker 4
No, there’s been good.

00:13:29:18 – 00:13:38:14
Speaker 3
Yeah. Great. Well, that’s that’s very. And you know, one thing, I should just mention though, Warren, as I did in the email. So Dan is, was there’s a website doing for free.

00:13:38:16 – 00:13:39:05
Speaker 1

00:13:39:08 – 00:13:49:27
Speaker 3
Not. Oh, it’s not quite there yet. Very soon there’ll be a website with, kind of a new and improved, certainly a much improved display because it’ll break it down into smaller sectors. So.

00:13:49:29 – 00:13:50:27
Speaker 2
Oh, that would be nice.

00:13:50:27 – 00:13:56:16
Speaker 3
Yeah, yeah. And of course, I totally agree with you that we we need to get it onto a website.

00:13:56:19 – 00:14:04:24
Speaker 4
And it was new York, just, you know, at a for a while ago. And of course, we have like three years basically of not much going on.

00:14:04:24 – 00:14:07:15
Speaker 3
So it’s like, yeah, you didn’t even notice, did you. Yeah.

00:14:07:18 – 00:14:09:13
Speaker 2
Oh, no. Suddenly changed.

00:14:09:14 – 00:14:30:13
Speaker 3
Well, things have changed. Yeah. That. Well that’s great. I’m glad they have. Okay. Well, is, shifting gears a little bit here, you know, and, Brian, I forget where. Oh, you’re in Reno. So there’s actually east of both of you guys, but it, Oh. Juno. I’m sorry. Juno. So this is a geo color product, and it uses that goes.

00:14:30:13 – 00:14:54:23
Speaker 3
It’s, so this doesn’t really apply so much to Alaska. At least not right now. Not right now. Yeah, it could be. It could work. Go off of other is you actually it’s a it’s intended to be a goes our proving ground product in that it, it demonstrates, capabilities layering a product and using different, different, different types of imagery and backgrounds.

00:14:54:23 – 00:15:19:15
Speaker 3
So at night you see a light, a night lights there. And that’s actually static image, but it could be updated, fairly frequently using, different polar, satellites, in the future in terms of, yeah. And then, otherwise it’s, it’s some clever, layering and then those two color background during the daytime. And it kind of makes a nice seamless transition from day to night.

00:15:19:15 – 00:15:40:08
Speaker 3
And, and this is a product put together by Steve Miller and our group, and, it’s actually been used quite a while. It was originally used to that. The, I think the Navy used it. It points out low clouds and fog just using the standard 11 point. What is low point seven? -3.9, I think.

00:15:40:08 – 00:16:03:20
Speaker 3
Right. The same difference that the A fog product uses. So but it colors it in pink. So here’s an example just of all the fog, that we had in the midsection of the country. This is from last Saturday. And so it shows it up quite, quite nice. I think it’s going to be a nice, it’s an overview product that’s we think of it as an overview product is currently being tested.

00:16:03:22 – 00:16:22:10
Speaker 3
Well, many offices have it actually, and it is available on a website. And they were up to, if you’d like to have it. And it also, is being tested at the Aviation Weather Center. Operationally, I think it’s a real nice product for them because they like they have a lot of overview products. And then I think, Dan, we go to the that.

00:16:22:14 – 00:16:46:18
Speaker 3
Yeah. So this is this is a, you know, Dan, Lindsey and others have put together a number of synthetic imagery products. Again, the idea originally of synthetic imagery was to test various, goes-r bands that aren’t available, but this happens to be, again, just mimicking the, the, the, fog, low cloud product that’s on a website.

00:16:46:18 – 00:17:13:03
Speaker 3
But so this is actually a forecast, for from the NSA’s a Worf model. Using a color table where in this case, it’s these blue shades of blue, and it’s actually, so this we have available for all Conus areas. And I think we’ve talked about this for Alaska this afternoon. This afternoon, using the nam, nam nest because, yeah, this this actually runs off the names.

00:17:13:04 – 00:17:30:21
Speaker 3
It also runs off the, and it says that Worf, which is a model, run once a day and then, it has some, the proper cloud outputs that we can use to make a lot of these bands. So, Dan, I think we were going to, I guess later at the end. I think this will just fade back and forth.

00:17:30:21 – 00:17:50:06
Speaker 3
And you can see it actually did a pretty good job. Obviously, there’s a lot of different products that you can use for fog and, and and the her itself, of course. Now has products to predict low clouds and fog. But this is another more this is a it’s a kind of a nice visual way to, to do it in terms and directly compared to a satellite image, that you can do.

00:17:50:06 – 00:17:59:27
Speaker 3
And so this, this is available, I think, Warren, you have geo color, if I’m not mistaken.

00:18:00:00 – 00:18:09:08
Speaker 3
I don’t know, weren’t you still there? You know, Brian, do you remember having geo color at Eureka?

00:18:09:10 – 00:18:11:11
Speaker 2
I know we didn’t have that in our lips.

00:18:11:15 – 00:18:16:05
Speaker 3
Okay. I thought maybe you guys did. But, yeah, I just thought.

00:18:16:05 – 00:18:17:08
Speaker 4
What was the,

00:18:17:11 – 00:18:27:20
Speaker 3
Do you still have geo color? I think you do. Your color. That one. That’s the image that we’re seeing right here. Is it?

00:18:27:22 – 00:18:29:22
Speaker 4
Hang on.

00:18:29:24 – 00:18:32:15
Speaker 3
I think that’s going to.

00:18:32:18 – 00:18:33:26
Speaker 4
I’d have to. I have to go.

00:18:33:26 – 00:18:35:08
Speaker 3
Oh, that’s all right, I think.

00:18:35:08 – 00:18:36:29
Speaker 4
So, but I have to go looking for the card.

00:18:36:29 – 00:18:47:03
Speaker 3
Table. That’s okay. Anyway, so these two are both available for, for, any UFO in the Conus.

00:18:47:06 – 00:18:47:24
Speaker 4
Chuck after.

00:18:47:24 – 00:19:00:24
Speaker 3
The call. Yeah. Are there any questions on any of this? I forget what’s next here. Okay. Scott. Oh, Scott, we’re going to go over to Scott next, then.

00:19:00:27 – 00:19:08:09
Speaker 1
Okay. Next we’ll go to Scott Lindstrom at, Simms at, Wisconsin.

00:19:08:12 – 00:19:46:20
Speaker 2
I was muted. Okay. I have a bunch of different, hold on a second of things to show you that I put together today. Showing both there was a, like I said, but there was a long event, a fog over the, desert southwest, which I thought was kind of unusual. They don’t normally have a lot of fog there, and I’m trying to wonder where my screen work, but I had all the stuff on.

00:19:46:22 – 00:19:47:27
Speaker 4
Other I saw,

00:19:48:00 – 00:19:48:10
Speaker 2
A.

00:19:48:12 – 00:19:51:09
Speaker 4
Couple minutes. I’m going to have to jump off for the Western region.

00:19:51:10 – 00:20:12:28
Speaker 2
Okay. First of all, I wanted to show this image. There are other DPW products. This is the one that’s, microwave imagery only. So of course, it’s only over land. And again, it shows the very nice river coming in on to the West coast. So I just have some images here of the fog. So I have a bunch of visible images at 16 and 23 view.

00:20:12:28 – 00:20:34:28
Speaker 2
This is at six on 6th December. Then here we have 7th December. And you notice you’ll notice the fog in northwestern, Arizona. And it persists, for quite a lot of time. There’s a lot of cirrus at the same time. So make detecting this particular fog from satellite. It’s going to be difficult because of all the cirrus contamination.

00:20:34:28 – 00:20:59:05
Speaker 2
But you can see it underneath the cirrus, even the visible imagery here. Continuing on to the ninth, and the 10th. So I’m not real familiar with fog climatology over the desert southwest. I don’t I don’t really think this is very common, though, to have days of fog persisting in this region because, you know, it typically wears a lot of moisture.

00:20:59:05 – 00:21:22:05
Speaker 2
So if continued into the 11th, then on the 12th, you still see it there. And then on the 13th, the West Coast system finally pushed through. And I think the fog was either rained out or stirred out. And this was brought to my attention by this fog, this person who writes about Flagstaff, and he has some really nice imagery of the fog, in that region.

00:21:22:05 – 00:21:49:23
Speaker 2
So, this is going to be on the fog block here, the fuzed fog, that I that was studied, that we put together to highlight Mike Pantalones, his fuze product, which included which combines both rapid refresh output and the, ghost imagery. And that’s what I have in this, in these tabs. So here we have it on December 8th.

00:21:49:25 – 00:22:18:20
Speaker 2
So you’ll see this region where where it’s, orange trending at the yellow. That’s an IFR probability of around 50 to 55%. So we have regions where the IFR probability is suggesting that there are, IFR conditions, meaning visibility less than. A mile and feeling is less than 1000ft, I think, and I have these about roughly every six hours.

00:22:18:21 – 00:22:38:17
Speaker 2
So this time period and you’ll see that there’s a constant, signal in this region where the fog was observed. Some of these, on this, this is 1630 on the ninth, and this is the character of this field here is telling me that there is high clouds there. So it’s not pixilated. So you’re using only rapid refresh data.

00:22:38:17 – 00:22:57:26
Speaker 2
And when when you’re using the rapid refresh, the, IFR probability field is kind of hanging on how well the rapid refresh does and predicting saturation on the lowest kilometer. So I think it’s doing it. The model at this particular time was doing a pretty good job of capturing, how saturate the lowest part of the atmosphere was in this region.

00:22:57:26 – 00:23:01:03
Speaker 2
So here we have 23 Z on that same day.

00:23:01:06 – 00:23:05:20
Unknown
70 at night. It looks at when you have.

00:23:05:20 – 00:23:30:27
Speaker 2
These Raider values that’s telling me that the satellite is seeing a satellite is able to pick up, the satellite is able to view the low level cloud. So there’s no cirrus in this particular region. There is cirrus over eastern New Mexico and western New Mexico. So where we have this big change in IFR probability, you have to interpret it differently because.

00:23:30:29 – 00:23:36:04
Unknown
Here over western west, central New Mexico.

00:23:36:07 – 00:24:05:15
Speaker 2
There’s some high level clouds that aren’t present over east central Arizona. And if we continue 16 C on the 10th, the signal continues. So this this the the product here was doing a pretty good job of, showing how persistent the IFR conditions likely were over Arizona. And I know there were some, observations at Winslow blowing at Flagstaff, of low ceilings and, fog.

00:24:05:18 – 00:24:25:05
Speaker 2
I just don’t have I didn’t have time to put those together for this. So, John, any questions? This isn’t on the product or anything or any observations you have on the fog. If if you’re aware of it occurring.

00:24:25:07 – 00:24:29:10
Speaker 2
No questions from Gina. Okay. And hearing no other questions, I’ll just pass this back to.

00:24:29:10 – 00:24:36:04
Speaker 3
Dan Scott, I have a quick question. Is that, so when you use the wrap, is it a wrap analysis you’re using or, or forecasting?

00:24:36:06 – 00:24:37:19
Speaker 2
It’s a forecast, I believe.

00:24:37:19 – 00:24:39:22
Speaker 3
It’s, probably a one hour or something.

00:24:39:29 – 00:24:46:03
Speaker 2
It’s either 1 or 2 hour forecast. I’m not sure. So there’s a little bit of model spun up spin up that’s included.

00:24:46:06 – 00:24:52:06
Speaker 3
Right. But otherwise this is an analysis product then, right? Yeah, I think they.

00:24:52:06 – 00:24:55:20
Speaker 2
Tried it with the analysis and it didn’t do as good a job.

00:24:55:23 – 00:25:00:11
Speaker 3
Okay. I didn’t know whether you were waiting for the analysis and it wasn’t there or something. That was the issue. Well, they’re.

00:25:00:11 – 00:25:03:14
Speaker 2
Using a you know, that’s that’s probably what.

00:25:03:17 – 00:25:11:00
Speaker 3
I had to do. But they did, you know. Yeah. Because you’d have to wait too long. Yeah. Yeah. Thanks. Thank you.

00:25:11:03 – 00:25:20:13
Speaker 1
Okay. And, let me just ask, are there any other questions on anything we, presented today?

00:25:20:16 – 00:25:23:27
Unknown
No questions again from junior.

00:25:24:00 – 00:25:25:01
Speaker 4
No. We’re good.

00:25:25:04 – 00:25:29:23
Speaker 1
Okay. And I see Jeffrey Logsdon on as well.

00:25:29:25 – 00:25:31:07
Speaker 2
No questions here. Thanks.

00:25:31:09 – 00:25:45:21
Speaker 1
What officer you at Jeffrey? Northern Indiana. Northern Indiana. Okay, okay. Well, thank you, everybody, and have a great day. We have, an additional satellite chat at 2030 UTC where we’ll be talking about Alaska products. So,

00:25:45:23 – 00:25:57:24
Speaker 3
Oh, yeah. I’m sorry. One last note. If anybody is interested in any of these products, you know, they list from Scott or, or the geo color or whatever the synthetic image, you just send us an email and we can set you up with those.

00:25:57:27 – 00:26:04:06
Speaker 2
And you can find a recording of this at the visit website.

00:26:04:08 – 00:26:17:18
Speaker 1
Yes. And if there’s anything that you have that you’d like to, for us to do to display either in one of these in the future or blog, we’re more than happy to, do that. So, thanks, everybody for your participation and have a great day.

00:26:17:21 – 00:26:18:27
Speaker 2
Think. Thanks. Bye.