Transcript 0:00 hi welcome to the goes-t virtual nasa 0:02 social i'm alison tankersley here at 0:04 kennedy space center where we just had 0:06 the atlas 5 ula rocket roll out to the 0:08 pad joining me is dan lindsey dan you 0:11 are the program scientist with noah what 0:14 is your job so my job is that yeah my 0:17 job as the program scientist is to uh 0:20 after the rocket reaches its orbit and 0:22 begins sending back data it's to figure 0:24 out how to use that data in order to do 0:27 the job that noah has so for example we 0:30 get data from the advanced baseline 0:31 imager the geostationary lightning 0:33 mapper 0:34 then what happens next how do we take 0:36 that data and give it to our colleagues 0:38 at the national weather service and 0:39 other private forecasting companies and 0:41 how do they use that to better warnings 0:43 better forecasts so i sort of lead the 0:45 coordination of some of that science 0:47 that's awesome so i know there is 0:48 definitely a lot of data with this 0:50 rocket what does that data show us 0:52 specifically 0:53 firm goes 0:54 so uh some examples of some really cool 0:56 things that you can see from goes first 0:58 of all once after we launch and go into 1:01 uh geostationary orbit after a couple 1:03 months we'll move over to the goes west 1:05 position which is over the east pacific 1:06 ocean that gives us a really good view 1:08 of the western united states so we see 1:11 things uh you know that happen in 1:13 california and one example is wildfires 1:15 we've all heard about many many 1:17 wildfires over the last couple of years 1:18 especially and the advanced baseline 1:20 imager has the capability of detecting 1:23 the hot spots from those wildfires so 1:26 sometimes we're even able to see the hot 1:27 spots from satellite before the fires 1:30 get reported by the public and this is 1:32 important because then we can alert the 1:33 emergency managers who can then go out 1:35 and sometimes they can put out the fires 1:36 ahead of time so that's something that 1:38 we really didn't anticipate as being you 1:40 know so helpful ahead of time since it's 1:42 not really a weather capability itself 1:44 that's definitely amazing and see how 1:46 it'd be helpful is there any other data 1:47 as you would say have been a surprising 1:49 product like this one sure yeah 1:50 something else we didn't expect is so 1:52 the geostationary lightning mapper is 1:54 another instrument of course it detects 1:56 lightning it's the first time we've been 1:57 able to uh see lightning uh constantly 2:00 over the the entire hemisphere really um 2:04 and so one thing we've noticed is 2:06 sometimes when meteors come into the 2:08 into the earth's atmosphere they produce 2:10 lots of light so it sort of tricks the 2:13 instrument and the instrument thinks 2:14 that it's lightning and so for example 2:17 um the weather service up in pittsburgh 2:19 just a couple of months ago they had 2:21 people calling in and saying we saw a 2:22 really bright flash and heard a boom 2:24 what could that be and so what they did 2:26 was take a look at the geostationary 2:28 lightning mapper data and they saw a 2:30 signal and they said oh that is a meteor 2:32 and so then they were able to explain to 2:33 the public you know what was the flash 2:35 and uh and what was the boom 2:37 well that's definitely a surprising 2:38 product and you used a word right there 2:40 a lot geostationary can you tell us what 2:41 does that mean sure so geostationary is 2:43 a special orbit such that we're a little 2:46 more than 22 000 miles above the equator 2:49 and the reason we're at that specific 2:50 altitude is the earth 2:53 spins at the same rate that the that the 2:55 satellite orbits and so you're able to 2:57 always look at the same place at the 2:59 same time 3:00 and the reason this is important is you 3:02 can take an image or take a picture 3:04 every few minutes say every 10 minutes 3:05 or so and it's sort of like time lapse 3:07 photography from space is once you take 3:10 those images and you put them together 3:11 in a series it makes a movie and you can 3:14 see the clouds move so for example you 3:16 can see a hurricane spinning you can see 3:18 the wildfires advancing you can see 3:19 thunderstorm clouds building and that 3:22 that really is the unique capability and 3:24 the critical 3:25 importance of having geostationary orbit 3:28 that's wonderful thank you so much jan 3:29 for joining us we're so excited for this 3:31 launch and now i'm joined by chrissy 3:33 hurley a warning coordination 3:35 meteorologist with noaa in nashville hi 3:38 christy hello and what do you do with 3:40 the goes data well we do many different 3:43 things we monitor it for aviation 3:45 weather fire weather severe weather but 3:48 the biggest thing is where the ghost t 3:50 satellite is going to be positioned it's 3:52 going to be across the eastern pacific 3:53 ocean so it's going to have coverage 3:55 across the western half the united 3:56 states alaska hawaii guam and what's so 3:59 important about that is weather moves 4:01 west to east so we need that data where 4:05 we don't have much across the pacific 4:07 ocean now we don't have observing 4:08 systems where we didn't know what the 4:11 temperature and what not across the 4:12 ocean is or whether balloon launches on 4:15 top of the water so the go satellite 4:17 fills in those data gaps to really help 4:19 improve forecast and model output that's 4:22 awesome and can you tell me what is an 4:24 atmospheric river 4:25 and how does that help with the goes 4:27 forecast well we monitor many different 4:29 things in a national weather service 4:31 operations forecast setting and one of 4:33 those is atmospheric river so think 4:35 about you know a river on the ground on 4:37 the surface but up in the atmosphere so 4:40 it's taking moisture from one location 4:43 to another and you know atmospheric 4:45 river is kind of the buzzword right now 4:46 we had one 4:48 this winter where lake tahoe got four 4:51 feet of snow that was the atmospheric 4:54 river so we're able to monitor the 4:56 location of those atmospheric rivers 4:58 where that moisture is going to be 5:00 and 5:00 then be able to tell where you know 5:03 chances of higher flooding you know 5:06 increased chances of higher snowfall 5:08 will occur well we definitely want to be 5:10 prepared for that and how does goes data 5:12 improve over time 5:14 well i've been in the national weather 5:15 service almost 20 years now and let me 5:17 tell you it has improved remarkably when 5:20 i first got in the weather service we 5:22 were getting images every 15 30 minutes 5:25 you thought your internet is slow now 5:27 it was nothing compared to waiting for 5:29 satellite images 5:31 now in an operational setting we're 5:33 getting those same types of images and 5:35 more every 30 to 60 seconds and so that 5:38 really does make a difference when we're 5:40 in severe weather winter weather 5:42 operations and able to get those 5:44 warnings out sooner i can believe it 5:46 that is quite the improvement so we are 5:48 also excited here for launch where will 5:49 you be on launch day i will be at the 5:52 banana creek viewing area and i'm very 5:54 excited this is you know ghost t 5:56 satellite has been i mean all the ghost 5:58 highlights have been life-changing as 5:59 far as meteorologists and forecasters 6:01 and so the first two in this series the 6:03 go satellites i was at home watching 6:05 them and i'm so excited to be here on 6:07 site to see my first rocket launch well 6:09 we're very excited too thank you so much 6:11 for tuning in go goes-t