GOES-16 Field Campaign Video Transcript 1 00:00:00.067 --> 00:00:01.835 So our primary mission here is 2 00:00:01.835 --> 00:00:03.270 satellite validation. 3 00:00:03.270 --> 00:00:06.506 So we just launched this next generation system and in order 4 00:00:06.506 --> 00:00:11.912 to validate its performance independently we've got our 5 00:00:11.912 --> 00:00:16.583 aircraft sensor with well calibrated instruments and we 6 00:00:16.583 --> 00:00:19.753 use that to give us high confidence--we're flying very 7 00:00:19.753 --> 00:00:23.557 high in the atmosphere--and it gives us very good comparisons to what 8 00:00:23.557 --> 00:00:25.259 the satellite is seeing. 9 00:00:25.259 --> 00:00:31.231 Today we're doing a mission, uh....wheels up...from Warner Robins 10 00:00:31.231 --> 00:00:34.568 Georgia...Air Force Base at seventeen hundred... 11 00:00:34.568 --> 00:00:37.838 ...we do have another long wave trough beginning to approach the 12 00:00:37.838 --> 00:00:41.909 West Coast later in the period by day 7, indicating that the 13 00:00:41.909 --> 00:00:43.343 wave train is back. 14 00:00:43.343 --> 00:00:47.114 So, the "go, no-go" decision is 100% dependent. of course. from 15 00:00:47.114 --> 00:00:48.048 day to day on each mission. 16 00:00:48.048 --> 00:00:52.252 Today, the reason we decided on a "go" is because we're in 17 00:00:52.252 --> 00:00:55.555 Huntsville and we have a very long loiter time over this 18 00:00:55.555 --> 00:00:56.223 location. 19 00:00:56.223 --> 00:00:59.660 And we have an "LMA" and a pretty intense instrument 20 00:00:59.660 --> 00:01:00.294 network here. 21 00:01:00.294 --> 00:01:04.731 Even though the case itself is not great--we're not expecting a 22 00:01:04.731 --> 00:01:08.001 ton of lightning with these systems-- we can still get some 23 00:01:08.001 --> 00:01:09.503 really good data out of it. 24 00:01:09.503 --> 00:01:11.972 So it looks like the mission's a go. 25 00:01:12.005 --> 00:01:13.407 Any instrument teams have any...questions? 26 00:01:13.407 --> 00:01:17.010 (music) 27 00:01:17.044 --> 00:01:23.617 We've coordinated ABI, special scans, 30 second imagery, uh, 17 28 00:01:23.617 --> 00:01:26.820 Zulu to 2230 Zulu today. 29 00:01:26.853 --> 00:01:31.792 We're getting a little bit of what's called potential energy--we call it 30 00:01:31.792 --> 00:01:34.328 convective potential energy, and it's helping fire up these 31 00:01:34.361 --> 00:01:35.028 storms. 32 00:01:35.062 --> 00:01:37.731 And so this is what the models were kind of picking up on 33 00:01:37.764 --> 00:01:38.665 earlier. 34 00:01:38.699 --> 00:01:39.967 We call it convective initiation. 35 00:01:40.000 --> 00:01:43.170 That's what today's mission is really geared toward. 36 00:01:43.170 --> 00:01:50.277 Yeah, yeah, so I got the satellite, the visible, and then 37 00:01:50.277 --> 00:01:52.012 I got CPL... 38 00:01:52.646 --> 00:01:55.315 The GLM--the Geostationary Lightning Mapper--is an optical 39 00:01:55.349 --> 00:02:01.888 instrument and we have virtually no other optical measurement to 40 00:02:01.922 --> 00:02:05.325 corroborate what the GLM is seeing except for an instrument 41 00:02:05.359 --> 00:02:07.527 that we've developed for the airplane. 42 00:02:07.561 --> 00:02:10.364 So we're looking down on cloud top at lightning. 43 00:02:10.397 --> 00:02:12.799 Some things that we've shown is that if you're able to 44 00:02:12.833 --> 00:02:15.769 incorporate lightning into a forecasting environment we can 45 00:02:15.802 --> 00:02:19.106 do things like increase lead time before severe weather hits, 46 00:02:19.139 --> 00:02:21.908 decrease false alarm rates we're able to forecast severe weather 47 00:02:21.942 --> 00:02:25.045 a lot better, which of course means time and, maybe more 48 00:02:25.078 --> 00:02:26.847 importantly, saving lives. 49 00:02:26.880 --> 00:02:29.016 So we don't know where the lightning originated. 50 00:02:29.049 --> 00:02:32.686 So the GLM gives us where the flashes are beginning, where 51 00:02:32.686 --> 00:02:35.355 they're propagating, and then with the ground based you can 52 00:02:35.389 --> 00:02:37.157 tell where they went to ground, 53 00:02:37.190 --> 00:02:40.861 so if you're, say, at an airport, baggage handling, 54 00:02:40.894 --> 00:02:44.431 fueling, you're outdoors, you may not realize you have a 55 00:02:44.464 --> 00:02:48.535 non-zero risk above you of the lightning propagating overhead 56 00:02:48.568 --> 00:02:52.039 or coming from some distance away, and so the GLM can help us 57 00:02:52.072 --> 00:02:55.275 depict that and improve your situational awareness. 58 00:02:55.308 --> 00:02:59.513 (off mic voices) 59 00:02:59.513 --> 00:03:02.015 The data coming from this system is just phenomenal. 60 00:03:02.015 --> 00:03:08.321 We're seeing data at three times the data rate, double the 61 00:03:08.355 --> 00:03:13.293 resolution typically, and it's just meteorologically, we're 62 00:03:13.627 --> 00:03:17.497 seeing features that we have never, necessarily, noticed 63 00:03:17.531 --> 00:03:20.667 before from the longer lag data from the previous satellite 64 00:03:20.700 --> 00:03:22.002 systems. 65 00:03:25.005 --> 00:03:28.008 The advantage of having a high altitude aircraft is that we can 66 00:03:28.041 --> 00:03:34.648 make, as best we can, a measurement that mimics what the 67 00:03:34.681 --> 00:03:36.349 satellite is seeing. 68 00:03:36.383 --> 00:03:41.154 (music) 69 00:03:41.188 --> 00:03:42.522 We're at seventy thousand feet, your typical 70 00:03:42.556 --> 00:03:46.426 airliner is down around thirty-five thousand feet. 71 00:03:46.460 --> 00:03:50.197 If we sit here on the ground and we see an airliner way up high 72 00:03:50.230 --> 00:03:54.401 making a contrail, we look down from the U2 almost from the same 73 00:03:54.434 --> 00:03:57.370 distance and see that airliner well below us making contrails 74 00:03:57.404 --> 00:03:59.539 So we're twice as high as an airliner. 75 00:03:59.573 --> 00:04:27.334 (music) 76 00:04:27.334 --> 00:04:30.270 So what this is going to enable people to do is see 77 00:04:30.303 --> 00:04:33.840 mesoscale features that we really didn't have a good handle 78 00:04:33.874 --> 00:04:34.708 on. 79 00:04:34.741 --> 00:04:39.713 And that's why having the aircraft in place, it allows us 80 00:04:39.746 --> 00:04:45.352 to get deeper insights into this phenomenology that's kind of new 81 00:04:45.385 --> 00:04:47.687 to us because we've never been able to stare at the Earth with 82 00:04:47.721 --> 00:04:48.788 this kind of resolution. 83 00:04:48.822 --> 00:04:55.028 (jet engine) 84 00:04:55.061 --> 00:04:56.696 Pogo clear! 85 00:04:56.730 --> 00:05:13.380 (music) 86 00:05:13.413 --> 00:05:16.816 Flying really high in the stratosphere, at twenty 87 00:05:16.850 --> 00:05:21.821 kilometers--what that enables us to do is overfly a target of 88 00:05:21.855 --> 00:05:25.525 interest and match the view geometry of the satellite and 89 00:05:25.559 --> 00:05:29.563 that gives us very high confidence that we're collecting 90 00:05:29.596 --> 00:05:31.998 what the satellite is seeing. 91 00:05:32.032 --> 00:05:47.013 (music)