Regional and Mesoscale Meteorology Branch

00:00:00:06 – 00:00:19:00
Speaker 1
Few of the API examples from the Sounders. So I mean, okay, but what are. Yeah. The cape from yesterday was about the cape from the sounder. Yesterday was awesome for the thunderstorms that blew up over northern Illinois.

00:00:19:02 – 00:00:23:06
Speaker 2
Okay, well, we’ll definitely check that out as well, but I didn’t say that.

00:00:23:09 – 00:00:25:16
Speaker 1
But let me see if I can find them.

00:00:25:18 – 00:01:02:20
Speaker 2
Okay, I have 931 on my clock, so let’s go ahead and begin. Welcome to today’s visit satellite chat. And what we want to highlight today is something that’s, not easily display able within our go to, meeting realm here. And that’s the super rapid scan, imagery from goes that has been, going on recently and kind of highlighting some of the capabilities that will be available on Goes-r here, within a couple of years, having that, very high temporal resolution data available routine, that’ll be really fantastic, something we’re looking forward to.

00:01:02:20 – 00:01:21:08
Speaker 2
But, we have, that available online. We’ll show you where that is. And we also have been making quite a few blog entries as well. And we will be highlighting those. And in the facet of, showing you where to view those on your own, because like I said, we we just can’t share those kind of loops.

00:01:21:16 – 00:01:45:03
Speaker 2
Within go to meeting here. So, the first thing I want to point out is if you go to the visit homepage, what you want to go to here is blog sites. And what I’ve collected here is just a list of satellite related, blog sites here. And I’ll highlight, a couple the ones that Sarah.

00:01:45:03 – 00:02:12:00
Speaker 2
And then I’ll let Scott highlight the, Simms blog, which is located right here. So first let me go to the visit blog and, an entry that I put together, for the event, May 8th, I have right here, what I did was I put that into a, YouTube video. So, again, I encourage you to go, check that out on your own.

00:02:12:10 – 00:02:39:11
Speaker 2
I can’t show that to you here on the, go to meeting just because, the the loops won’t transmit. They won’t stream well, at all. Another blog entry that I did recently here as well is if you go to the Sierra Ramsey goes our Proving Ground blog, you’ll see, an entry that I had for the 11th May event, which was, affecting, Nebraska and also Kansas.

00:02:39:26 – 00:03:05:14
Speaker 2
And I put a, blog entry with the help of Dan Lindsey, putting together a nice loop, there as well. So that’s a couple that I’ve been involved in, in terms of some blog entries. And a little bit I’ll turn it over here to Scott Lindstrom, and he’ll look at it, will highlight or showcase the, Simms satellite blog in terms of some of the so, loops that they’ve made recently as well.

00:03:06:27 – 00:03:29:22
Speaker 2
One of the things I want to show next here first is, one of the available, displays, places where you can see this, imagery. Simms has this imagery, and I’ll let Scott highlight where that is, and I’ll highlight where it’s available here at Sara. It’s at this website right here. This link was also posted on that first blog entry that I showed.

00:03:29:22 – 00:03:47:18
Speaker 2
So if you forget it, you can just simply go to that blog entry and you’ll see the link. So the top few items here are the so imagery, including the air and the water vapor as well. But probably most interested in the visible. So here’s a larger scale visible. And then the broke it down to a northern and and southern sector.

00:03:47:18 – 00:04:17:22
Speaker 2
So you click on those and and a pretty long loop of the. So imagery will become available when it is available. It is available today through Friday I believe. So the next few days you’ll be able to look at this imagery here. I will talk about real time weather as well, but I want to turn it over to Scott Lindstrom, first, and then we’ll, later on, we’ll, focus on, some real time weather.

00:04:17:22 – 00:04:24:14
Speaker 2
So let me turn it over to Scott.

00:04:24:26 – 00:04:29:16
Speaker 1
Or or Scott. It’s. If you want, I have our blog up.

00:04:29:19 – 00:04:30:00
Speaker 2
Okay.

00:04:31:02 – 00:04:50:06
Speaker 1
Well, I can talk a little bit. Okay. So to get to the. So our page at since, I think the easiest way to do is just do a web search on goes 14 espresso O.R.. And hopefully you’re seeing my screen. Yes. And that will take you to a web page that looks something like this.

00:04:50:27 – 00:05:11:18
Speaker 1
You might have to click over to so 14. Of course, this is a third year in a row that they’ve done this. So they did SRS or 12 2012. That’s when hurricane Sandy had all that beautiful one minute imagery. And they had some of last year as well. I this is the first one that’s I think the first one that’s been in May.

00:05:12:00 – 00:05:34:08
Speaker 1
I’m not sure about that, but so if you, if you go to that web page, you’ll see some animation here. We have some convection, a two day convection loop over the central plains from May 10th and May 11th. But if you scroll down, you can see the entire, schedule. So you see where things are being, where they are putting the center point.

00:05:34:17 – 00:06:01:04
Speaker 1
So today is today. Today’s the 21st, I think. So we can look at the where the. Where the, window is going to be today. So it’s over the Central Plains. And you can see all the other ones from previous days. And then if you toggle off to the right, there are different places where there are animations from that particular day.

00:06:01:13 – 00:06:29:10
Speaker 1
A lot of the animations, as you see where my cursor is right now, are looking at one minute versus five minute and one minute versus 15 minutes. So you can really get the get an idea of, the benefits you have from one minute data, especially in a, in an environment where convection is developing quickly. Convective towers go up and collapse in less than five minutes.

00:06:29:10 – 00:06:50:02
Speaker 1
So if you have five minute data, for example, you miss a lot of the theories. The dynamics of what’s going on at the top, at the, at the, at the top of the and we’ll see. The one minute imagery is just spellbinding to look at, you know, dynamics of what’s going on at the Cirrus at the top.

00:06:50:02 – 00:07:18:01
Speaker 1
So I recommend you looking at that and comparing it. And if you think that the one minute data is useful or compared to the five minute or the standard 15 minute, you know, let people know because there are discussions going on right now. In the National Weather Service on what kind of time or timeliness will be shipped to the National Weather Service offices when Goes-r becomes operational and goes up, becomes operational.

00:07:18:11 – 00:07:38:06
Speaker 1
And, you know, five years or whatever. So they’re talking about, do we want to ship the one minute data, do we want to ship the five minute data? Do we want or you know, exactly what it’s going to go into the National Weather Service offices. And if you look at the, scan mode, this is something that was discussed.

00:07:38:20 – 00:08:01:03
Speaker 1
Just to remind you all of what’s going to be available with Abby. So in flex mode for the Abby, there’ll be a full desk every 15 minutes, five minute Conus imagery, and then one minute data for mesoscale, at two locations. And you can kind of see the scale of the, mesoscale that may be coming out one minute.

00:08:01:03 – 00:08:23:16
Speaker 1
This one is over the Caribbean. For a case perhaps where there’s a severe, where there’s a tropical system developing, and then we have the Conus scale, which is similar to the, regular Conus right now, not the extended Conus that they’ve just implemented. It goes down through the Caribbean and that’ll be every five minutes. And then again, every a full disk every 15 minutes.

00:08:23:19 – 00:08:51:05
Speaker 1
So that’s what’s, that’s what’s on the table right now. And the discussions are you know, do we send this, mesoscale data at every minute to a WIPs or do we degrade it, you know, in time to, something that’s a little more manageable? Of course, they’re thinking about bandwidth issues. The Conus sectors from East and west are shown on this scale that are shown on this particular slide.

00:08:51:27 – 00:09:19:00
Speaker 1
Just showing you exactly where goes. S which will be goes east and goes, which would be goes west. Will be gathering their data when they’re in Conus, when they, when they’re getting their Conus sectors, and they get a reminder when Goes-r goes up. It’s currently slated to become Goes west replacing Goes 15 and then goes S will replace goes well, will probably me goes 14.

00:09:19:02 – 00:10:01:23
Speaker 1
What’s replace goes 13. Sometime. I’m not exactly sure where. So that’s my little brief snippet on QSO here. And I just wanted to mention one other thing that I, that I noticed, from yesterday, and that is I want to put a plug in for the sounder. This was the Cape, product. This is not available in a website, but the lifted index is, and it did a very nice job of isolating or highlighting exactly where the, largest instability was yesterday.

00:10:01:23 – 00:10:28:06
Speaker 1
So there was a severe thunderstorm, a variety of severe thunderstorm watches and warnings just south of the Illinois Wisconsin border. Yesterday, I was at a track meet watching all of this in Madison to the south. So it’s kind of fun to see all the lightning, and not have a track meet canceled. So I’ll put a plug in for the lifted index, which you can see in a website, from the founder.

00:10:28:06 – 00:10:58:18
Speaker 1
So it gives you a nice hourly update. Especially in clear air, where the, Most unstable air is going to be. We do have, of course. I have a blog here at Semmes. And there is a goes 14. Tab for that and that will show the. So our super rapid scan for goes our operation. That’s what the SA stands for.

00:10:59:15 – 00:11:09:20
Speaker 1
We have several blog posts on that from this current SRS. So our,

00:11:09:22 – 00:11:28:29
Speaker 1
Events. And as you scroll down there are a bunch of different, so we have one on overshooting tops of one where it has fog dissipation on the East coast. And some comparisons between, well, you know, what does one minute imagery look like compared to five minute compared to standard 15 minutes? So I encourage you to see that.

00:11:28:29 – 00:11:46:24
Speaker 1
And of course, the bandwidth probably doesn’t show things. One of the things that I’m going to be putting up later, I don’t know if you can see this. This is a one minute scan of a storm relative, convective event, both near Dodge City, back on May 11th. So this will be out on the blog later this afternoon.

00:11:46:25 – 00:12:11:12
Speaker 1
So it would be this storm and also the supercell that, was east of Denver yesterday. So just some storm relative stuff that really highlights the nice motion you get, relative to the storm that maybe you don’t see when you have a something that’s centered, in Earth coordinates. So I think that’s was there anything else I was going to say?

00:12:11:12 – 00:12:12:12
Speaker 1
I don’t think so.

00:12:12:15 – 00:12:20:26
Speaker 2
Let’s pause here and ask if there’s any questions, comments, or if you have any success stories in terms of some of the positive things that you’ve seen using, this.

00:12:20:27 – 00:12:49:18
Speaker 1
So data and have you been able to access it? I guess that’s the first question. Hi, guys. This is, Frank down in Charleston. A few comments on this. Obviously, it’s it’s really neat eye candy. It’d be tough to get into the whole discussion of bandwidth versus what we’re going to get me to. Especially considering the length of time it is until we see this in the East, based on the current, time scale.

00:12:50:16 – 00:13:13:29
Speaker 1
In terms of the success story, I thought it was really helpful. And, one of the cases I think that you’ve got in there on May I believe, is May 13th. That was an afternoon and morning and afternoon event was an convection and developed, the sea breeze in northeast Florida and then raced northwestward into southeast Georgia.

00:13:14:02 – 00:13:36:12
Speaker 1
And the models were in quite a bit of difference into how aggressive that convection was going to be. Using the one minute satellite data, you can see some things, such as boundary interactions that were simply in an area where they have to be on the radar was shooting up 5 or 6000ft. So you just didn’t get the same detail simply by looking at the radar data.

00:13:36:12 – 00:14:01:01
Speaker 1
So I found it very useful in that respect to get a concept of how that little complex is going to continue. You know, most of the activity that afternoon was actually further to the west. But being there were in Charleston, what happens in southern Georgia is, of course, most important to us. So I thought that was a what I would call a win for seeing the, super rapid scan information.

00:14:01:04 – 00:14:28:20
Speaker 1
Yeah. It looks like these loops are just north of your location from, the 13th. Yeah. There was, Yeah. So, I’m I’m I’m not 100% sure I got the right date. But I think that I’ve got the right date. Friday is the fourth, right? So. Yeah. Would be Thursday the 13th. Well, you know, maybe try Wednesday that, you know, Wednesday.

00:14:28:23 – 00:14:52:25
Speaker 1
Hold on. I’m getting conflicting information from my staff. Same day with the 15th. Okay. So yeah, it was Wednesday the, the 14th I think I’ve got like, FTP link there. That shows over, Georgia I think you got some of it there. Yeah. This this is a link on from May 13th. Okay. Yeah. I don’t know if this is the day you’re talking about.

00:14:52:27 – 00:15:15:23
Speaker 1
Like, how about you can watch the convection just start to go on the sea breeze in northeast Florida? You know, obviously sandwich being an issue for everybody, right. But you but you can go to this particular website, right? And, click on this link and you’ll see, I don’t know if it goes to the very end of the it shows the development of the cumulus, field.

00:15:15:23 – 00:15:39:13
Speaker 1
I’m not sure if it’s going all the way through the, onset of convection. Yeah. It was really interesting because it, developed and moved northwestward. And, the Atlanta forecast area actually had several severe as they had to put out some stuff moving in from the southeast, which is not the usual direction for, Atlanta. So that was, that was, what I thought was an interesting case from a local perspective.

00:15:39:13 – 00:15:57:03
Speaker 1
Right. Hey, Scott, I, I had a loop of that that, this is Danielle that I sent to the all hands. I don’t know if Tim linked it on that page or not. There’s one from the 14th that I’m clicking on here. We’ll see if it. Let’s see with you. My computer can handle all of this at once.

00:15:57:05 – 00:16:18:15
Speaker 1
Yeah. Sometimes these files are a little on the large side. Yeah. This is the one I’m talking about. Maybe this is not the same case Frank is talking about. Yeah. This is the one where it really just started as a small little complex in northeast Florida, and it raced northwestward, and it had some significant effects just west of our CWA, although we did get some of the eastern edge of the storms.

00:16:18:15 – 00:16:40:06
Speaker 1
But, what was fascinating about it was the fact that especially when it was, like west of Jacksonville in its initial stages, as you could see an awful lot of interaction going on with with boundaries between different things that you just simply didn’t see on the radar, because the lowest elevation of the radar on it was kind of in between the radar.

00:16:40:06 – 00:17:03:05
Speaker 1
So you weren’t seeing really much of anything, you know, below 4 or 5000ft anywhere in there. Right. That’s where I think the, you know, the super rapid scan data really has a gap that it can fill and show show promise for, situational awareness in those situations and realize that, you know, based on what you see in the lower level, that you just simply can’t see on the radar.

00:17:03:08 – 00:17:21:17
Speaker 1
This is something that looks like it’s going to propagate for an extended period of time, and then that helps you get an idea of how good the models are, what model may be handling it better, and able to carry that forward into the next 6 to 8 hours of the forecast. And this was something you could not see with ghost 13.

00:17:21:19 – 00:17:53:29
Speaker 1
You could see it to some extent. But you couldn’t you didn’t get the true right, boundary interaction data. Yeah. And again, specifically, I was looking at this, when that system was west of, Jacksonville and just starting to really get going. The one minute data showed you the interaction of the different boundaries that you just, didn’t get, and it gave you, you know, there’s some experience involved, obviously, but looking at you, you can say, all right, you know, what is boundaries are continually coming together.

00:17:53:29 – 00:18:18:00
Speaker 1
I can see the low level inflow into this, complex of, you know, the cloud streets are pretty early getting sucked into the developing system. And there was just detail you couldn’t see on especially 15 minute data. Right. I can’t remember if we were in seven minute data or not, but neither one of those equals one.

00:18:18:00 – 00:18:45:12
Speaker 1
And frankly, when you get to seven minute satellite data, you’re competing with the team at the same time scale as the radar data and value added is questionable. Certainly in this part of the country, obviously not so out west where you have the data gaps, but around here, using the satellite data, when you’re talking that longer timescale rarely adds a whole lot of extra value, certainly by itself.

00:18:46:14 – 00:19:13:18
Speaker 1
So I thought to me that was a reasonable case. Now, on the flip side, you had an event like the following day where, there was so much cirrus pattern and really even the one minute data, there wasn’t a whole lot of added value in those cases. Right. Because it was you can see little bumps and things, but you couldn’t get under the guts or the detail of, the structure of the storms because of the large cirrus canopy.

00:19:14:11 – 00:19:36:09
Speaker 1
But in cases like this and, you know, certainly more often in the Midwest, you see that, you know, the image of that, supercell from yesterday down by a Denver. That was really quite something. But, you know, there is definitely benefit, like, as I’ve already been mentioned, bandwidth is going to be the key issue as to what we can get in.

00:19:36:09 – 00:19:49:26
Speaker 1
And even if we can get it all in, is there an expense that we have to pay on the other end in terms of other things that we can take in? And, you know, we can I’ve been arguing about this for eight years, and we’ll probably be arguing about the next 80 years, when it comes to bandwidth.

00:19:49:26 – 00:19:53:22
Speaker 1
So.

00:19:53:24 – 00:19:59:21
Speaker 1
Any comments from any other folks?

00:19:59:23 – 00:20:25:18
Speaker 1
It is Jonathan Rawley. No, we had, the the high resolution, high temporal resolution data available to us for a couple of days. Late last week. I was not in the office during those days. And, I’ve had some good old information from folks who said it was intriguing and interesting. But I think because of the, the, the higher cloud tops and cirrus, that it wasn’t maybe as useful as they had hoped.

00:20:26:03 – 00:20:47:25
Speaker 1
But I don’t have, a lot of tight information, I would say on that. Of course, a lot of things that Frank, mentioned, we would we would definitely agree with that in terms of potential. And I think, routinely putting this stuff in the hands of forecasters would probably provide, utilities that we’re not even aware of.

00:20:47:25 – 00:21:15:29
Speaker 1
You know, things like, you know, aviation forecasting and anticipating wind shifts, you know, seabreeze type stuff. And there’s a lot of potential there. And, once we kind of get a steady stream or additional examples, I think you’ll see the, the laundry list of potential applications would, would definitely increase a lot. Hey, Jonathan and Frank both was forced you guys schedule for a to transition.

00:21:16:01 – 00:21:39:13
Speaker 1
We are in Raleigh is a two cycle. And Frank are you guys, scheduled to move over anytime soon? I wouldn’t say immediately. So, if you’re thinking like the August, which would have been nice. Because we don’t want to mess with that in the middle of tropical season, I can say personally, I’m pushing hard for, something like December.

00:21:39:13 – 00:22:01:15
Speaker 1
So we have time to get used to the new system and prepare for the following tropical season, which is going to have an awful lot of changes. So my guess would be sometime this winter if I if I get my wish. Okay. And you’re right, Jonathan heard, I guess one of you said about August is we are going to have another one minute test period for, I think, three weeks in August.

00:22:01:17 – 00:22:20:13
Speaker 1
And, I’ve been working with Dave Riddell at Eastern Region to earlier. You go to Southern Region, I get mixed up after. Okay. So anyway, we should be able to get you the data in your apps to, for this experiment, the one minute data in, in August, assuming that the bandwidth is able to handle it.

00:22:20:13 – 00:22:40:18
Speaker 1
So far, Boulder’s bandwidth has been fine, but they actually have a really good connection. So it may be different at different offices. So can you tell tell me more about that? This is Jonathan Raleigh I’m not familiar with. So there’s a chance some of data could come through a website. Two is what we were saying. Yeah. So what we’re doing now for this as sort of a test is the Boulder office.

00:22:40:18 – 00:23:01:07
Speaker 1
We are, here at Sierra. We’re capturing the data, converting it into the format that can be read by you to sending it to the center central region. LDM and then Boulder is pulling it in via the LDM and displaying it in real time. And we would like to expand that to more offices besides just Boulder in in the fall, or not in the fall, but in August rather.

00:23:01:09 – 00:23:22:15
Speaker 1
And that’s including Eastern region. And I just want to make sure I mean, you know, it’s a frequent data pool and the files are not huge because the sector is pretty small. So I’m curious whether the offices that don’t have very good bandwidth are going to be able to, to do this, without any problems. I didn’t Raleigh, we would be interested in giving that a whirl.

00:23:22:15 – 00:23:46:24
Speaker 1
I would think, or our bandwidth isn’t as bad as many other places. In fact, we have a drop on the NC state internet. Oh, that would help us with getting LDM data from each from region. But, or is it prohibitive? Usually. So we we will be interested if that opportunity is available. Yeah okay. Sounds great. We’ll be in touch probably around the end of July about getting that set up.

00:23:46:26 – 00:24:07:03
Speaker 1
So that’s just another, multi-week period of rapid scan. So, so so what’s going on? Yeah. Scott or Scott, you have the dates for that in front of you. I think it’s around three weeks in August. If you’re seeing my screen, it’s on the screen right now. It starts August 14th and it goes through the 28th. So so two weeks.

00:24:07:05 – 00:24:27:12
Speaker 1
Yep okay I see so so conceivably we could actually see some data in our ellipse tool, especially in that domain was I guess near us. I guess that’s exactly right. Yeah. And, you know, if there’s any tropical systems during this period and, within the domain of Goes 14, like in the Gulf or something, we’ll probably be focusing on those.

00:24:27:15 – 00:24:48:09
Speaker 1
But other days we’ll be looking for interesting weather to put the sector over. And is there a way for us to easily go back and look at data from, May 14th and 15th here, other than what has already been assembled on his web address showing him and converted into a movie. Do you mean looking at it, on the web, or do you mean.

00:24:48:09 – 00:25:06:14
Speaker 1
And you’re on the web site? I I’m sure that we if the loops are already available, me or Scott or Scott or Dan or somebody can easily put together some loops for you. So just shoot us an email and let us know what you need. And what is one name. I can send it to Scott. Scott.lindstrom@noaa.gov.

00:25:06:14 – 00:25:12:01
Speaker 1
Okay. Linda Strom I talked to. Yeah, okay. Very good.

00:25:12:03 – 00:25:34:06
Speaker 2
Another thing I should say too is, I heard some really good ideas there from some of those, events. And if you’d like to, share some of those ideas with us, we’d be more than glad to put that blog entry together and, and share some of those ideas. So, so we, you know, get a broader audience to, see some of the great applications that we have in this.

00:25:34:28 – 00:25:36:26
Speaker 2
So imagery.

00:25:36:28 – 00:25:54:24
Speaker 1
Yeah. This is Frank in Charleston. I would have loved to. I just simply do not have the time. Is, the problem? I get the old tropical training, get the ships in there, and, getting ready for the, you know, the meeting out there, first week in June in Kansas City. So. Hey, Frank. Frank, this is Tony.

00:25:55:00 – 00:26:13:15
Speaker 1
Yeah. How are you doing? Hope to see you there in June. Well, that’ll be the, the week. We have a great opportunity for us to be sharing these ideas. So capture them right now and as you can, and bring them with you to Kansas City. And, you know, we’re going to have, quite a bit of time, for discussion time.

00:26:13:15 – 00:26:31:18
Speaker 1
So it’s not all presentation. There’s actually gonna be it really carved out a good chunk of time to to actually go through this. Exactly. These types of discussions and scenarios. And so we’re hoping that that will be the venue where we can, capture a lot of these great thoughts that are coming out. And this is Scott Allen.

00:26:31:18 – 00:26:48:07
Speaker 1
I know Scott B is planning on putting together a little animation that does capture that, that convection that Frank talked about. So the animation we have is a little bit north of that. And we’ll just shift it look a little bit farther south. So yeah. And that’ll show you a you’re going to Kansas City right. I will be there.

00:26:48:07 – 00:27:08:06
Speaker 1
But that will be on that animation will be on the blog post this afternoon. Yeah. Because one of the thing we should certainly have at the ready and at some chairs on this call or hopefully, you know, is with local organizers. So, you know, to have a display ready to go that if we get into these discussions, you know, we can pop up a couple of these loops.

00:27:08:06 – 00:27:27:00
Speaker 1
And I know they have good bandwidth there at the training center. So, hopefully we could take a look at some of these and then, you know, really be capturing these great ideas that are coming out and make sure that they’re logged. And there’s a way to really go back to them, especially for you guys, you know, if you don’t have a lot of time.

00:27:27:00 – 00:27:49:21
Speaker 1
So these are really valuable and kind of make sure we’re capturing. Yeah. This is this is Frank. If you can give me that information I can do my best. I won’t be able to like, necessarily send it up to, Chad because I know he want some of the basic presentation sent up ahead of time, but right now, I can try to throw together a little bit of what I saw.

00:27:50:26 – 00:28:10:05
Speaker 1
Radar data, from the case that’s developing in Northeast Florida, you kind of have to go back a little bit. From what we’re shown there, if we can go back to actually the initiation, which I think started late morning and run, and then you can really compare that to what you see on the radar data.

00:28:10:05 – 00:28:33:01
Speaker 1
And that’s one of the key points I want to try to make at this conference, is that you can’t just compare a satellite to satellite. You have to compare a satellite to everything the forecaster uses. And that one key section or something where you provide not only information that was above and beyond the 15 minute data, but actually was above and beyond what you could see from the radar data itself.

00:28:33:01 – 00:29:00:05
Speaker 1
And I think those are really here, your money shots, in a way. If you have if you have, some radar data screen captures, that would be great. But I don’t. But it’s really easy for me to go assuming NCDC is behaving lightly to, you know, go back and get some of the data from a couple of the radars that are out there and just create a quick animated GIF, to show that it won’t be anything too fancy, but it should get the point across.

00:29:00:09 – 00:29:31:29
Speaker 1
That’ll be awesome. Yeah. When, I guess when when you guys, post, the blog with what? Satellite data you have that again, that can go back earlier in that day to capture that convective initiation in northeast Florida. Let me know, see what time frames that you’ve got in that loop. And then I can try to download some radar data and match it up and make a couple of quick animated GIFs that I can have in my pocket for the meeting in the first week of June, would be great.

00:29:32:12 – 00:29:57:15
Speaker 1
One other comment I had about the, super gravity, and we had, kind of jerry rigged to show it up on our main display in our operations area, off of an air card, the I’m at laptop so that the bandwidth was a little bit better than what we normally get to our system, and we still had issues with, the refresh capability of the loop on a cereal web page.

00:29:58:15 – 00:30:33:10
Speaker 1
I don’t know if there’s, a way that could be improved, but eventually what happened is that the forecast, you know, they’re doing their work and it’s it’s nice to see potentially helpful, but they don’t have time to go to another computer and try to refresh the loop all the time. It would get hung up. So I don’t know if there’s any way we can work on that technology so that when the, August event comes along, we can, you know, make that same kind of jury reading here locally, but have it as much hands off as possible for the operational forecast so they can see it and use it, but not have to

00:30:33:10 – 00:30:50:25
Speaker 1
babysit it. Yeah. Right. That’s that’s a really good comment. And, I’ll talk to our web group here and see what we can do about that because I agree I mean, these are big loops. And I think what happens when you refresh it actually attempts to download the entire thing every time, instead of just downloading the new image and adding it to the end.

00:30:50:28 – 00:31:08:06
Speaker 1
Yeah, that’s that’s exactly what would happen. And then we would eventually just change everything up. I mean, since you have to reload the whole web page and, it was really neat stuff the people were certainly looking at. But, you know, there’s just not time to, to play with that all the time.

00:31:08:08 – 00:31:26:20
Speaker 1
Yeah. Dan, one more quick comment. I’m looking at yesterday’s loop and it’s a great loop of that supercell. But, I also thinking about maybe putting loop control down at some point. Yeah, I can do that easily. I’ll send out an email here in a few minutes with that. Yeah. Okay. Yeah. The ability to stop it at an exact point.

00:31:26:20 – 00:31:44:17
Speaker 1
You know, there’s a cell merger going on and kind of do a toggle back and forth. I mean, that’s where you’re really getting at. I really think it’s okay. Yeah, yeah, I’ll do that. And also extend it a little bit later in time because I, it ends when I left the office. And I know the storm was continuing to the east after the end of that loop.

00:31:44:24 – 00:32:01:18
Speaker 1
Yeah. Just another little sidebar. I don’t know if anybody is watching any of the nightly news here on the local affiliates, but I think it was channel four. Two actually showed up. It had a one minute loop. So it’s first time, I think I’ve seen it on, on the media.

00:32:01:21 – 00:32:09:21
Speaker 1
I did not see that. I know the weather service posted something on their Facebook site.

00:32:10:12 – 00:32:13:10
Speaker 2
Okay. Any other comments or questions?

00:32:13:13 – 00:32:36:15
Speaker 1
It’s Jonathan again. I got one more question. I’m sorry to bug you about this August 2nd thing. So how, how frequently do we get, images, potentially provided, everything flowed as quickly as possible. Every it’s every minute you’ll get the images, but the latency we found is somewhere in the order of 2.5 minutes after scan time.

00:32:36:18 – 00:32:49:16
Speaker 1
Okay. But so there’s actually conceivable, we could actually see one minute data in our. It works too. Yep. Well, that that that’d be impressed by data.

00:32:49:18 – 00:33:18:04
Speaker 3
This is Bernie. I have one other comment in terms of something to think about for Goes-r, especially with visible imagery, because it’s it’s not being brought up. But, with one of those visible channels will have half kilometer. So it’ll be like putting on, a slightly better magnification. So that’ll also be a benefit. Besides the rapid scanning capability.

00:33:18:07 – 00:33:19:28
Speaker 2
Okay. Any other questions or comments?

00:33:20:00 – 00:33:47:13
Speaker 1
A good point, Bernie. And then, besides the, improve spatial resolution, don’t forget it was going beyond the one minute we’re going to actually have 30s with, goes-r. Yeah. This is the same thing can be said actually for the air stuff, too. And, that’s going to be a lot of additional benefit.

00:33:47:15 – 00:33:53:20
Speaker 3
Yeah. That’s all it’s going to be great.

00:33:53:22 – 00:33:59:15
Speaker 2
Any other questions or comments?

00:33:59:18 – 00:34:13:09
Speaker 2
Okay. Well, we watch it over Colorado today. There should be severe storms to look at and the SRS. So imagery and probably out to the east as well. So, thanks everybody. And, thank you for participating.

00:34:13:11 – 00:34:15:08
Speaker 1
Thanks, everybody. Thanks, Dan. Thanks.