WEBVTT FILE 1 00:00:00.000 --> 00:00:00.480 2 00:00:00.500 --> 00:00:04.484 We're of course celebrating tonight Earth science in general 3 00:00:04.504 --> 00:00:10.573 which really exemplifies the idea that everything at NASA leads, really, 4 00:00:10.593 --> 00:00:15.362 to the ultimate goal of protecting and improving life on Earth. 5 00:00:15.382 --> 00:00:17.664 So I'm going to quickly talk about, kind of, the view of Earth, 6 00:00:17.684 --> 00:00:21.184 and I'm going to talk about a kind of zoom in zoom out, right? 7 00:00:21.204 --> 00:00:26.873 Because for us to understand the Earth we must see it in the broader context. 8 00:00:26.893 --> 00:00:31.895 And of course closest to the Earth are terrestrial planets in our environment 9 00:00:31.915 --> 00:00:35.298 and each one of those planets tells a story. 10 00:00:35.318 --> 00:00:40.020 A story of how a planet can end up with a different destiny. 11 00:00:40.040 --> 00:00:42.624 When we study those planets, 12 00:00:42.644 --> 00:00:45.959 we learn about the processes that shaped the Earth, 13 00:00:45.979 --> 00:00:50.580 about our past, and about our future. 14 00:00:50.600 --> 00:00:54.200 Very similar to the Earth, for example, is Mars. 15 00:00:54.220 --> 00:00:58.555 That started together with the Earth but looks very, very different. 16 00:00:58.575 --> 00:01:05.195 We know now that Mars, of course, was very wet and it lost a lot of the water, and we know now, 17 00:01:05.215 --> 00:01:08.098 from actually one of the Goddard-built spacecraft, 18 00:01:08.118 --> 00:01:11.518 that a lot of the reasons it lost that water is because of 19 00:01:11.538 --> 00:01:13.070 the scavenging from the solar wind, 20 00:01:13.090 --> 00:01:15.182 kind of ripping off, over millions of years, 21 00:01:15.202 --> 00:01:17.607 water out of the atmosphere. 22 00:01:17.627 --> 00:01:21.055 On the surface of Mars, of course we landed with, 23 00:01:21.075 --> 00:01:24.470 you know, Curiosity rover near Gale Crater 24 00:01:24.490 --> 00:01:27.117 and we really went into kind of a beach environment, 25 00:01:27.137 --> 00:01:33.590 with rivers and what used to be lake beds and so forth. 26 00:01:33.610 --> 00:01:37.944 We're learning about this and the amazing landscapes there, 27 00:01:37.964 --> 00:01:42.432 and really thinking about what could be in the future here, 28 00:01:42.452 --> 00:01:44.918 of an Earth where the the Sun gets hotter and hotter, for example, 29 00:01:44.938 --> 00:01:51.274 as we go in kind of astronomical timescales going forward. 30 00:01:51.294 --> 00:01:55.361 When we look at the outside of the solar system, and you already mentioned Cassini, 31 00:01:55.381 --> 00:02:02.085 we're looking at this amazing planet Saturn and its rings, one of the most majestic planets, 32 00:02:02.105 --> 00:02:04.921 just absolutely amazing when you see him in a telescope. 33 00:02:04.941 --> 00:02:09.976 I remember as a kid looking at it, like there it is, you know the rings – it's amazing. 34 00:02:09.996 --> 00:02:15.932 Well what's even more stunning is that there's moons out there, Titan and Enceladus, 35 00:02:15.952 --> 00:02:19.252 that we're now really thinking about in the context of the Earth, 36 00:02:19.272 --> 00:02:21.805 because of the fact that they have oceans 37 00:02:21.825 --> 00:02:25.475 and they spurt out organics, in the case of Enceladus. 38 00:02:25.495 --> 00:02:30.346 Something that gives us an entirely new perspective as to where we should look for life 39 00:02:30.366 --> 00:02:32.532 and how in fact we should do that. 40 00:02:32.552 --> 00:02:36.586 You can zoom back even more and what you look at is a galaxy 41 00:02:36.606 --> 00:02:40.440 and you remember that in that galaxy are billions 42 00:02:40.460 --> 00:02:42.926 and hundreds of billions of stars. 43 00:02:42.946 --> 00:02:44.694 Well how many of them are like the Earth? 44 00:02:44.714 --> 00:02:47.514 I remember when I did my Ph.D. in '96, 45 00:02:47.534 --> 00:02:50.817 ah we thought well perhaps there's planets — 46 00:02:50.837 --> 00:02:55.138 you know '96 is one year after '95, for those of us geeks. 47 00:02:55.158 --> 00:03:00.994 Like you said, '95 is the time the first extrasolar planet was announced. 48 00:03:01.014 --> 00:03:03.897 So we thought, well perhaps 10% of these stars 49 00:03:03.917 --> 00:03:07.350 may or may not have planets, 50 00:03:07.370 --> 00:03:10.887 perhaps even less. Well... oh no. 51 00:03:10.907 --> 00:03:14.824 There's well, many, many more of those now. 52 00:03:14.844 --> 00:03:19.679 And this next thing is just one example that we actually discovered with Spitzer 53 00:03:19.699 --> 00:03:24.033 where we basically have a small star with seven planets going around it. 54 00:03:24.053 --> 00:03:27.720 This is Spitzer following up on a ground-based observation. 55 00:03:27.740 --> 00:03:31.691 Three of those, we think, are in the habitable zone 56 00:03:31.711 --> 00:03:35.478 based on just a distance and temperature of the host star. 57 00:03:35.498 --> 00:03:39.732 We now know, based on Kepler and other observations, that 58 00:03:39.752 --> 00:03:41.618 it's very common to have planets. 59 00:03:41.638 --> 00:03:43.770 Every average star will have a planet. 60 00:03:43.790 --> 00:03:48.285 Many of them will have Earth-like planets. 61 00:03:48.305 --> 00:03:51.755 So it's an abundance of Earth-like planets, 62 00:03:51.775 --> 00:03:53.563 potential Earth-like planets here. 63 00:03:53.583 --> 00:03:55.642 But we have one home 64 00:03:55.662 --> 00:03:57.664 and that home was recently visited 65 00:03:57.684 --> 00:04:00.987 by a spacecraft also led out of Goddard, OSIRIS-Rex – 66 00:04:01.007 --> 00:04:04.282 it's actually on the way to a little body out there 67 00:04:04.302 --> 00:04:07.023 that it's gonna collect matter with, 68 00:04:07.043 --> 00:04:09.412 Bennu, and bringing it back. 69 00:04:09.432 --> 00:04:11.698 But when it flew by Earth it took this picture 70 00:04:11.718 --> 00:04:14.022 and it reminded us that, you know, 71 00:04:14.042 --> 00:04:17.170 coming from this deep space, coming to Earth, 72 00:04:17.190 --> 00:04:19.489 how beautiful our planet really is 73 00:04:19.509 --> 00:04:24.711 but also how fragile that planet is, as we're living on it. 74 00:04:24.731 --> 00:04:27.113 It reminds us all these stories, 75 00:04:27.133 --> 00:04:29.548 I think many of us were in Australia when they flew overhead 76 00:04:29.568 --> 00:04:33.469 some of us were in California, there at the top of the picture, 77 00:04:33.489 --> 00:04:36.823 and that's really kind of zooming back in 78 00:04:36.843 --> 00:04:40.827 and you know the talks will be zoomming into our beautiful planet 79 00:04:40.847 --> 00:04:44.501 that is such an important planet and subject 80 00:04:44.521 --> 00:04:47.784 very worthy of our study and full attention. 81 00:04:47.804 --> 00:04:50.534 So with that I want to introduce 82 00:04:50.554 --> 00:04:52.789 Marshall Shepherd, our next speaker. 83 00:04:52.809 --> 00:04:54.714 And of course Dr. Marshall Shepherd 84 00:04:54.734 --> 00:04:57.961 is a leading international expert in weather and climate 85 00:04:57.981 --> 00:04:58.778 [ audience chuckles ] 86 00:04:58.798 --> 00:05:03.128 and is the Georgia Athletic -- you like that picture, right? -- 87 00:05:03.148 --> 00:05:04.050 [ audience chuckles ] 88 00:05:04.070 --> 00:05:07.971 the Georgia Athletic Association Distinguished Professor. 89 00:05:07.991 --> 00:05:09.970 That means, 90 00:05:09.990 --> 00:05:12.015 in kind-of academic-speak 91 00:05:12.035 --> 00:05:14.827 the best of the best type of professor 92 00:05:14.847 --> 00:05:18.059 at the University of Georgia 93 00:05:18.079 --> 00:05:22.385 and you're also an Associate Department Head, of course. 94 00:05:22.405 --> 00:05:27.707 You were 2013 president of the American Meteorological Society, 95 00:05:27.727 --> 00:05:30.512 the nation's largest and oldest professional 96 00:05:30.532 --> 00:05:34.276 science society in atmospheric and related sciences, 97 00:05:34.296 --> 00:05:38.768 and prior to the University of Georgia, Dr. Shephard spent 12 years as a 98 00:05:38.788 --> 00:05:40.814 researcher at NASA Goddard 99 00:05:40.834 --> 00:05:43.906 and was the deputy project scientist of GPM. 100 00:05:43.926 --> 00:05:45.600 It's actually that mission 101 00:05:45.620 --> 00:05:48.244 that helped make predictions for the very storms that 102 00:05:48.264 --> 00:05:51.981 were going over the house of my father-in-law, 103 00:05:52.001 --> 00:05:54.588 and you know for me this is really personal, 104 00:05:54.608 --> 00:05:56.677 when I look at these missions now, 105 00:05:56.697 --> 00:05:58.788 of course them being in our portfolio, 106 00:05:58.808 --> 00:06:01.240 but them affecting our lives in a direct fashion, 107 00:06:01.260 --> 00:06:04.823 he's safe, in part because of these predictions 108 00:06:04.843 --> 00:06:06.796 that came from that mission 109 00:06:06.816 --> 00:06:09.766 that you were directly working with, Marshall. 110 00:06:09.786 --> 00:06:13.069 I also want to say that of course 111 00:06:13.089 --> 00:06:16.606 Dr. Shepherd received his BS, MS, and PhD 112 00:06:16.626 --> 00:06:20.810 in meteorology at the Florida State University and he was the first 113 00:06:20.830 --> 00:06:23.450 African-American to receive a PhD from 114 00:06:23.470 --> 00:06:26.599 Florida State University Department of Meteorology, 115 00:06:26.619 --> 00:06:30.036 one of the nation's oldest and most respected. 116 00:06:30.056 --> 00:06:32.472   I'm just excited to welcome you, Marshall. 117 00:06:32.492 --> 00:06:40.430 [ applause ] 118 00:06:40.450 --> 00:06:44.617 Thank you, and good evening. Now go far enough into space 119 00:06:44.637 --> 00:06:50.373 and Earth looks like any other star or planet in our night sky. 120 00:06:50.393 --> 00:06:52.959 But of course we know it's not. 121 00:06:52.979 --> 00:06:57.547 Ccome closer and we see a planet bursting with color. 122 00:06:57.567 --> 00:06:59.932 It's bursting with life. 123 00:06:59.952 --> 00:07:03.453 It's covered by just the right amount of ocean, 124 00:07:03.473 --> 00:07:06.305 just the right amount of forested continents. 125 00:07:06.325 --> 00:07:13.079 It's protected by a dynamic yet thin atmosphere that roils with weather and storms. 126 00:07:13.099 --> 00:07:18.684 Now we understand the cosmic odds that allow us to carve out our lives here on Earth. 127 00:07:18.704 --> 00:07:24.590 Yet there is so much more to learn about our home planet. 128 00:07:24.610 --> 00:07:29.095 The world gets more populated more complicated every day. 129 00:07:29.115 --> 00:07:32.782 How are we going to improve life on Earth? 130 00:07:32.802 --> 00:07:36.936 How are we going to safeguard this planet? 131 00:07:36.956 --> 00:07:41.974 Who is going to lead the continuing discovery on Earth? 132 00:07:41.994 --> 00:07:47.380 As Thomas showed us, NASA's exploration of our solar system and deep space is taking us 133 00:07:47.400 --> 00:07:50.700 closer than ever to planets than before. 134 00:07:50.720 --> 00:07:54.187 But that view from space is also vital 135 00:07:54.207 --> 00:07:58.925 to understanding the most complex planet we know. 136 00:07:58.945 --> 00:08:02.345 Earth. 137 00:08:02.365 --> 00:08:07.617 To take on Earth's challenges, we need not only the vantage point of space, 138 00:08:07.637 --> 00:08:15.575 but we also need the technology, grit, and quest for discovery that we use to explore the universe as only NASA can. 139 00:08:15.595 --> 00:08:22.715 Now it's important to note here that Earth Science has been at the core of NASA's mission since the beginning. 140 00:08:22.735 --> 00:08:25.885 Let's take a look at the Space Act that created NASA. 141 00:08:25.905 --> 00:08:29.939 It talks about "for the benefit of all mankind." 142 00:08:29.959 --> 00:08:34.026 It talks about advanced knowledge of Earth's atmosphere, 143 00:08:34.046 --> 00:08:39.532 the preservation of the role of the United States as a leader. 144 00:08:39.552 --> 00:08:43.286 Now tonight I'm going to talk about things from a hurricane perspective. 145 00:08:43.306 --> 00:08:46.389 We want to share with you a few stories of how NASA is leading 146 00:08:46.409 --> 00:08:48.875 the planetary exploration of Earth 147 00:08:48.895 --> 00:08:56.182 and continuing to provide return on investment to every US citizen. 148 00:08:56.202 --> 00:09:01.404 In particular we want to take a look inside the complex world of water. 149 00:09:01.424 --> 00:09:04.924 Sometimes there's too much, sometimes there's not enough. 150 00:09:04.944 --> 00:09:09.362 So let's pivot now to talk about the hurricane season of 2017. 151 00:09:09.382 --> 00:09:13.432 And by the way, as we speak there's a hurricane possibly developing 152 00:09:13.452 --> 00:09:18.437 down in the Caribbean that will affect the Gulf of Mexico and Gulf states later this weekend. 153 00:09:18.457 --> 00:09:21.691 Now 2017 has been an extraordinary season. 154 00:09:21.711 --> 00:09:26.963 Hurricane Harvey was the first major hurricane to make landfall in the U.S. in over 12 years. 155 00:09:26.983 --> 00:09:30.800 The iPhone and Twitter weren't around then. 156 00:09:30.820 --> 00:09:35.388 It was also the most significant rainfall event in US history. 157 00:09:35.408 --> 00:09:43.462 Hurricane Irma remained a category 5 hurricane longer than any storm on record in the Atlantic. 158 00:09:43.482 --> 00:09:45.881 And of course, Hurricane Maria: 159 00:09:45.901 --> 00:09:52.021 rapid intensification, power, humanitarian crisis. 160 00:09:52.041 --> 00:09:54.707 Now look, I'm a meteorologist 161 00:09:54.727 --> 00:09:59.829 and if you follow me on social media or read some of the contributions I write for Forbes, 162 00:09:59.849 --> 00:10:04.350 many of us knew that these storms were going to do what they did 163 00:10:04.370 --> 00:10:06.085 and that's really tough 164 00:10:06.105 --> 00:10:09.589 as someone that has knowledge to see that happening. 165 00:10:09.609 --> 00:10:12.575 But there is, I guess, a bright side 166 00:10:12.595 --> 00:10:15.461 because we know that science has allowed us 167 00:10:15.481 --> 00:10:17.096 to advance knowledge, 168 00:10:17.116 --> 00:10:22.485 predict these storms, and possibly save lives. 169 00:10:22.505 --> 00:10:25.638 Now this hurricane season I want to highlight two stories. 170 00:10:25.658 --> 00:10:29.525 One, with each of the three major storms that I've talked about 171 00:10:29.545 --> 00:10:35.514 we can see, even in that glimmer of despair, a success story 172 00:10:35.534 --> 00:10:41.354 where the view from space has improved our ability to forecast or respond to hurricanes. 173 00:10:41.374 --> 00:10:44.907 And the second storyline is that we saw three major storms 174 00:10:44.927 --> 00:10:48.494 that highlighted absolutely fundamental questions 175 00:10:48.514 --> 00:10:52.214 that NASA is trying to answer about hurricanes and how they work. 176 00:10:52.234 --> 00:10:54.467 And I'll get to those critical questions in a moment. 177 00:10:54.487 --> 00:10:57.086 But first let me acknowledge our partners. 178 00:10:57.106 --> 00:10:59.255 NASA is a research and development agency 179 00:10:59.275 --> 00:11:03.175 pushing the envelope on technology and new knowledge generation. 180 00:11:03.195 --> 00:11:08.864 We work very closely with our partners at NOAA, the USGS, other federal agencies, 181 00:11:08.884 --> 00:11:13.869 and in collaboration with many of our industry partners that are here in the room tonight. 182 00:11:13.889 --> 00:11:19.859 That partnership and collaboration is critical to everything that you're going to see tonight. 183 00:11:19.879 --> 00:11:25.831 And so we thank everyone that's represented here from those various entities. 184 00:11:25.851 --> 00:11:31.404 GOES-16 will soon move to become GOES-East in its operational orbit parking. 185 00:11:31.424 --> 00:11:34.340 GOES-S launches next spring 186 00:11:34.360 --> 00:11:39.395 and JPSS-1, our polar orbiting satellite system, launches next month. 187 00:11:39.415 --> 00:11:44.717 They're all a result of partnerships between NASA, NOAA, and industry. 188 00:11:44.737 --> 00:11:48.237 Now let's talk about some of those success stories that I mentioned earlier. 189 00:11:48.257 --> 00:11:51.006 Hurricane Harvey's rainfall: 190 00:11:51.026 --> 00:11:53.976 now, as a meteorologist when I was looking at the forecast models 191 00:11:53.996 --> 00:11:57.930 and I saw them saying three to five feet of rain, 192 00:11:57.950 --> 00:11:59.749 I couldn't believe it. 193 00:11:59.769 --> 00:12:03.786 I literally couldn't believe it. But they were right. 194 00:12:03.806 --> 00:12:06.739 Days out, they were right. 195 00:12:06.759 --> 00:12:10.526 This is a testament to decades of advancement. 196 00:12:10.546 --> 00:12:17.283 This information from these satellites and from advanced models are saving lives. 197 00:12:17.303 --> 00:12:21.637 Let's take a look at Hurricane Irma's track forecast. 198 00:12:21.657 --> 00:12:27.026 This is five days before Hurricane Irma made landfall. 199 00:12:27.046 --> 00:12:29.261 Watch the lines: 200 00:12:29.281 --> 00:12:32.765 the forecasts were spot-on five days out. 201 00:12:32.785 --> 00:12:37.686 Now yes there was a little wiggling back and forth as it neared Florida, but 202 00:12:37.706 --> 00:12:43.692 where we are in meteorology, this was an amazing forecast. 203 00:12:43.712 --> 00:12:47.747 And science got us there. 204 00:12:47.767 --> 00:12:50.249 Now some ways that you might not think of, 205 00:12:50.269 --> 00:12:52.785 and you heard Chris mention this earlier, 206 00:12:52.805 --> 00:12:57.289 Puerto Rico: Maria knocked out power all across that island. 207 00:12:57.309 --> 00:13:01.177 What you're looking at here is a brand-new NASA capability 208 00:13:01.197 --> 00:13:04.814 that gave first responders block-by-block detail 209 00:13:04.834 --> 00:13:07.216 of where power went out. 210 00:13:07.236 --> 00:13:11.020 It is produced by scientists at NASA Goddard and NASA Marshall. 211 00:13:11.040 --> 00:13:15.224 It combines nighttime data from the Suomi NPP satellite 212 00:13:15.244 --> 00:13:18.461 with four other types of satellite data 213 00:13:18.481 --> 00:13:21.347 and the result is a high-definition view of night lights 214 00:13:21.367 --> 00:13:24.467 before and after Maria. 215 00:13:24.487 --> 00:13:28.137 Look at the streets and city blocks that you can see. 216 00:13:28.157 --> 00:13:31.106 But here's what's more important to citizens 217 00:13:31.126 --> 00:13:34.360 particularly our citizens in Puerto Rico. 218 00:13:34.380 --> 00:13:38.881 This map you're looking at was put directly in the hands of FEMA 219 00:13:38.901 --> 00:13:40.483 and the National Guard last week 220 00:13:40.503 --> 00:13:42.852 directly in their hands 221 00:13:42.872 --> 00:13:45.855 so that they can map out a response strategy. 222 00:13:45.875 --> 00:13:52.161 The first time this satellite data product has been provided to first responders. 223 00:13:52.181 --> 00:13:56.282 Now let me pivot back to those research questions. 224 00:13:56.302 --> 00:13:59.952 The science is helping us understand them, and there's still many challenges ahead, 225 00:13:59.972 --> 00:14:03.272 but NASA is there, and our partners are there. 226 00:14:03.292 --> 00:14:07.910 Let's go back to Harvey's rainfall. The volume of rain raises questions. 227 00:14:07.930 --> 00:14:11.864 Are severe storms more likely to produce more rainfall in the future? 228 00:14:11.884 --> 00:14:15.968 NASA is in a better position to help figure that question out. 229 00:14:15.988 --> 00:14:21.390 In 2014, NASA, in partnership with the Japanese space agency, JAXA, 230 00:14:21.410 --> 00:14:24.827 launched the Global Precipitation Measurement Core Observatory, GPM. 231 00:14:24.847 --> 00:14:33.569 Now this is the most advanced orbiting rainfall measurement system ever conceived. 232 00:14:33.589 --> 00:14:37.673 NASA is coordinating and fine-tuning rainfall measurements like never before. 233 00:14:37.693 --> 00:14:41.777 The core satellite has a radar and passive microwave imager 234 00:14:41.797 --> 00:14:46.365 that helps calibrate a constellation of satellites, ten of them, 235 00:14:46.385 --> 00:14:51.220 to produce unprecedented global rainfall maps, around the world. 236 00:14:51.240 --> 00:14:56.458 That's weather, folks, that you're seeing, manifested in rainfall. 237 00:14:56.478 --> 00:15:00.863 And at that scale that GPM can provide, not only does it provide science, 238 00:15:00.883 --> 00:15:06.435 we can help with landslides, flooding, and other things that affect society. 239 00:15:06.455 --> 00:15:09.605 That's US leadership. 240 00:15:09.625 --> 00:15:13.876 Now we've heard questions about whether extreme rainfall events are going to increase, 241 00:15:13.896 --> 00:15:15.261 the physics of a warmer atmosphere 242 00:15:15.281 --> 00:15:17.479 leading to more moisture in the atmosphere, 243 00:15:17.499 --> 00:15:19.081 more big rain events. 244 00:15:19.101 --> 00:15:21.166 In other words, what's the weather going to be like 245 00:15:21.186 --> 00:15:23.619 in the 21st century going forward? 246 00:15:23.639 --> 00:15:26.305 These are questions of the day that scientists will address 247 00:15:26.325 --> 00:15:28.207 and GPM will be there to help. 248 00:15:28.227 --> 00:15:31.860 But rainfall from Harvey was not the only hallmark of this season. 249 00:15:31.880 --> 00:15:35.898 Let's go back and take another look at that Irma track 250 00:15:35.918 --> 00:15:37.066 and what you'll see - 251 00:15:37.086 --> 00:15:40.586 look at those warm ocean waters that Irma had to tap into, 252 00:15:40.606 --> 00:15:44.373 but look inside the little hurricane symbol you'll see a number. 253 00:15:44.393 --> 00:15:49.511 And what I want to show here is that Hurricane Irma was a category 5 storm 254 00:15:49.531 --> 00:15:54.967 longer than any storm that we've seen on record in the Atlantic. 255 00:15:54.987 --> 00:15:57.386 Category 5 storm. 256 00:15:57.406 --> 00:16:00.723 What made the storm so strong and for so long? 257 00:16:00.743 --> 00:16:03.575 Well as you saw, lots of ocean heat content 258 00:16:03.595 --> 00:16:06.228 that NASA satellites can provide information for, 259 00:16:06.248 --> 00:16:09.081 and some NOAA satellites as well. 260 00:16:09.101 --> 00:16:11.667 This takes us to our second fundamental question: 261 00:16:11.687 --> 00:16:15.304 how will warm ocean waters affect hurricane intensity? 262 00:16:15.324 --> 00:16:20.059 And here I need to focus on Hurricane Maria. 263 00:16:20.079 --> 00:16:25.497 Maria was a storm that went from a category 1 to a category 5 storm 264 00:16:25.517 --> 00:16:28.133 in less than 24 hours in September. 265 00:16:28.153 --> 00:16:30.736 Less than 24 hours. 266 00:16:30.756 --> 00:16:33.205 That's rapid intensification 267 00:16:33.225 --> 00:16:35.808 and those of us in my field know that that remains 268 00:16:35.828 --> 00:16:37.926 one of the grand challenges of meteorology 269 00:16:37.946 --> 00:16:39.795 because we've gotten track forecasts 270 00:16:39.815 --> 00:16:41.814 to be pretty good over the last several decades, 271 00:16:41.834 --> 00:16:43.298 but intensity is a challenge. 272 00:16:43.318 --> 00:16:45.534 Why do we get this rapid intensification? 273 00:16:45.554 --> 00:16:49.438 And that's been a theme of the hurricane season this year, by the way. 274 00:16:49.458 --> 00:16:53.942 GPM again can help. 275 00:16:53.962 --> 00:16:57.212 We can pop the hood on these storms. 276 00:16:57.232 --> 00:17:01.100 What do I mean by that? I like to think of hurricanes as like large heat engines. 277 00:17:01.120 --> 00:17:03.352 And when you see hurricanes with traditional satellites, 278 00:17:03.372 --> 00:17:05.587 you're often looking at the clouds. 279 00:17:05.607 --> 00:17:08.157 But as you're going to see in a moment with Maria, 280 00:17:08.177 --> 00:17:10.359 we can now take this satellite data 281 00:17:10.379 --> 00:17:13.062 and we can peer inside the hurricane 282 00:17:13.082 --> 00:17:16.048 and look at the thunderstorms in the eye wall and rain band. 283 00:17:16.068 --> 00:17:20.219 Well if my wife were sitting here right now she'd say, "so what." 284 00:17:20.239 --> 00:17:22.071 She's just - that's the way she is – 285 00:17:22.091 --> 00:17:23.188 [ laughter ] 286 00:17:23.208 --> 00:17:26.475 but the reality is there is a huge "so what," 287 00:17:26.495 --> 00:17:28.627 because when we can see these thunderstorms 288 00:17:28.647 --> 00:17:31.380 developing and growing in the eyewall and rain band 289 00:17:31.400 --> 00:17:34.450 they're showing the heat release that powers this engine 290 00:17:34.470 --> 00:17:37.453 and that may very well be a clue 291 00:17:37.473 --> 00:17:41.173 that will help us with intensity forecasts. 292 00:17:41.193 --> 00:17:42.725 But it's not just satellite data. 293 00:17:42.745 --> 00:17:44.710 The Global Hawk, 294 00:17:44.730 --> 00:17:47.046 suborbital platforms, aircraft 295 00:17:47.066 --> 00:17:48.814 are also providing unique views 296 00:17:48.834 --> 00:17:51.100 and many of these capabilities provided by NASA 297 00:17:51.120 --> 00:17:54.236 and our other partners in the industry. 298 00:17:54.256 --> 00:17:59.341 And I can't not talk about the performance of our forecast models. 299 00:17:59.361 --> 00:18:05.464 Take a look at this model that shows the track of Hurricane Sandy. 300 00:18:05.484 --> 00:18:08.517 Studies have shown that if satellite data 301 00:18:08.537 --> 00:18:11.520 were removed from the models, 302 00:18:11.540 --> 00:18:15.157 we would not have seen that Hurricane Sandy was going to make a left turn 303 00:18:15.177 --> 00:18:18.343 into New Jersey and New York nine days ahead of time. 304 00:18:18.363 --> 00:18:22.030 The satellite data is being ingested into the models. 305 00:18:22.050 --> 00:18:24.249 Now, this last science question is dear to my heart 306 00:18:24.269 --> 00:18:27.269 because it's some of my own research that's sponsored by NASA. 307 00:18:27.289 --> 00:18:31.507 There is something called the "brown ocean." 308 00:18:31.527 --> 00:18:34.676 You might think that storms weaken when they move over land, 309 00:18:34.696 --> 00:18:36.645 but we found something different. 310 00:18:36.665 --> 00:18:37.546 Take a look at this image. 311 00:18:37.566 --> 00:18:40.499 You're seeing soil moisture from SMAP and other things. 312 00:18:40.519 --> 00:18:44.086 The red represents dry soil over Texas and Oklahoma 313 00:18:44.106 --> 00:18:47.840 and look what you see, rainfall over several weeks to months. 314 00:18:47.860 --> 00:18:50.325 Now watch that change over to blue in Texas 315 00:18:50.345 --> 00:18:53.095 that means the soil is getting wetter, it's moistening up. 316 00:18:53.115 --> 00:18:55.047 Here comes Tropical Storm Bill, 317 00:18:55.067 --> 00:18:57.282 moves over that wet soil, 318 00:18:57.302 --> 00:19:00.786 and maintains its strength. It actually even intensified. 319 00:19:00.806 --> 00:19:03.438 The "brown ocean" was feeding the storm 320 00:19:03.458 --> 00:19:05.791 just like the ocean would. That wet soil, 321 00:19:05.811 --> 00:19:08.844 that's the "brown ocean." 322 00:19:08.864 --> 00:19:12.131 Now I'd like to introduce Dr. Christa Peters-Lidard. 323 00:19:12.151 --> 00:19:15.984 She's a hydrologist at NASA's Goddard Space Flight Center. 324 00:19:16.004 --> 00:19:19.238 Christa has developed hydrological models of the water cycle 325 00:19:19.258 --> 00:19:22.658 that have been widely adopted by the US Air Force weather agency, 326 00:19:22.678 --> 00:19:23.442 NOAA, 327 00:19:23.462 --> 00:19:26.128 and the US Agency for International Development 328 00:19:26.148 --> 00:19:29.715 as critical components for their forecasting systems. 329 00:19:29.735 --> 00:19:34.336 Christa currently serves as a Deputy Director of NASA Goddard's Earth Science Division 330 00:19:34.356 --> 00:19:39.758 where she oversees five of the thirteen Goddard Earth science laboratories. 331 00:19:39.778 --> 00:19:42.878 She is a Fellow of the American Meteorological Society 332 00:19:42.898 --> 00:19:45.764 and has been awarded the Arthur S. Fleming medal 333 00:19:45.784 --> 00:19:48.784 given to outstanding federal employees. 334 00:19:48.804 --> 00:19:51.837 She's also a friend and a colleague. 335 00:19:51.857 --> 00:19:59.211 [ applause ] 336 00:19:59.231 --> 00:20:02.781 Since NASA was created nearly six decades ago, 337 00:20:02.801 --> 00:20:06.084 this agency and the larger science community 338 00:20:06.104 --> 00:20:09.755 has essentially discovered how the Earth works 339 00:20:09.775 --> 00:20:12.007 as an interconnected system, 340 00:20:12.027 --> 00:20:13.725 as a planet, 341 00:20:13.745 --> 00:20:16.879 and we are still discovering. 342 00:20:16.899 --> 00:20:21.133 NASA is converting the space-based view of Earth 343 00:20:21.153 --> 00:20:25.437 into a pixel-level planetary intelligence system 344 00:20:25.457 --> 00:20:29.558 for navigating the challenges of the 21st century. 345 00:20:29.578 --> 00:20:34.880 One of those challenges is coping with drought. 346 00:20:34.900 --> 00:20:38.100 California, 2015. 347 00:20:38.120 --> 00:20:43.438 One of the most productive agricultural markets in the world was wracked 348 00:20:43.458 --> 00:20:47.376 by a fourth year of drought. 349 00:20:47.396 --> 00:20:50.312 Wildfires burned, 350 00:20:50.332 --> 00:20:53.081 crops wilted, 351 00:20:53.101 --> 00:20:58.904 reservoirs plummeted to half of historical averages. 352 00:20:58.924 --> 00:21:03.609 But how did this drought spread? How pervasive was it? 353 00:21:03.629 --> 00:21:07.279 From space we track water in the ground, 354 00:21:07.299 --> 00:21:09.965 whether it's a centimeter, a meter, 355 00:21:09.985 --> 00:21:13.619 or a kilometer below the surface. 356 00:21:13.639 --> 00:21:17.406 Let's start with the big picture. 357 00:21:17.426 --> 00:21:19.641 Around the world the GRACE satellites, 358 00:21:19.661 --> 00:21:23.662 which is a partnership between NASA and the German Space Agency, 359 00:21:23.682 --> 00:21:25.914 have provided unprecedented views 360 00:21:25.934 --> 00:21:29.334 of water storage and natural aquifers. 361 00:21:29.354 --> 00:21:33.155 These underground reserves are so massive 362 00:21:33.175 --> 00:21:36.675 that they affect the Earth's gravity field. 363 00:21:36.695 --> 00:21:38.560 And when their mass changes, 364 00:21:38.580 --> 00:21:43.298 the satellites detect the change in gravity. 365 00:21:43.318 --> 00:21:46.234 Droughts affect deep groundwater stores. 366 00:21:46.254 --> 00:21:48.737 In fact, water users can pump 367 00:21:48.757 --> 00:21:52.808 hundreds of billions of gallons out of their aquifers 368 00:21:52.828 --> 00:21:55.911 to compensate for the lack of rainfall. 369 00:21:55.931 --> 00:22:00.182 And GRACE detects this change. 370 00:22:00.202 --> 00:22:03.785 This view from space has revolutionized our understanding 371 00:22:03.805 --> 00:22:07.539 of water stored beneath the Earth's surface. 372 00:22:07.559 --> 00:22:11.076 But scientists at NASA Goddard can provide a more detailed view 373 00:22:11.096 --> 00:22:13.045 of conditions in the continental US by 374 00:22:13.065 --> 00:22:17.582 combining GRACE data with sophisticated computer models. 375 00:22:17.602 --> 00:22:20.485 These computer models help us decompose the GRACE signal 376 00:22:20.505 --> 00:22:25.023 into the surface, root zone, and shallow groundwater. 377 00:22:25.043 --> 00:22:29.428 And this view can help trigger critical water conservation measures. 378 00:22:29.448 --> 00:22:33.165 Stations on the ground provide a connect-the-dots picture 379 00:22:33.185 --> 00:22:36.968 but the vantage point from space, combined with modeling, 380 00:22:36.988 --> 00:22:41.006 provides a comprehensive view of the California drought: 381 00:22:41.026 --> 00:22:45.427 how it evolved over time, and ultimately ended. 382 00:22:45.447 --> 00:22:49.681 This constantly changing snapshot of shallow groundwater conditions 383 00:22:49.701 --> 00:22:55.287 is now used every week in the US Drought Monitor. 384 00:22:55.307 --> 00:22:58.323 This is the benchmark relied upon by decision-makers 385 00:22:58.343 --> 00:23:03.078 at the local, state, and federal levels. 386 00:23:03.098 --> 00:23:06.214 So GRACE gives us a global view, 387 00:23:06.234 --> 00:23:10.786 and the combination of satellites and modeling gives us a regional view, 388 00:23:10.806 --> 00:23:15.857 but what if I want to know what's happening in a 30 by 30-meter plot of land, 389 00:23:15.877 --> 00:23:19.728 the size of a Landsat pixel? 390 00:23:19.748 --> 00:23:22.230 California's wine industry 391 00:23:22.250 --> 00:23:24.716 provides tens of thousands of jobs, 392 00:23:24.736 --> 00:23:29.171 pays seventeen billion dollars in wages every year, 393 00:23:29.191 --> 00:23:33.475 and is built on intensive agricultural practices. 394 00:23:33.495 --> 00:23:36.828 It is also at the forefront of using the view from space 395 00:23:36.848 --> 00:23:41.400 to save water and be more efficient. 396 00:23:41.420 --> 00:23:44.069 The E&J Gallo company grows grapes 397 00:23:44.089 --> 00:23:49.024 on a hundred thousand acres across California. 398 00:23:49.044 --> 00:23:52.310 Nick Dokoozlian, the company's head of viticulture, said 399 00:23:52.330 --> 00:23:56.114 that during the drought "we were farming on a fine line. 400 00:23:56.134 --> 00:24:01.453 The model went from commercialization to survival." 401 00:24:01.473 --> 00:24:06.224 They use Landsat which is a joint program of NASA and USGS 402 00:24:06.244 --> 00:24:09.978 to monitor water use and the health of their vines. 403 00:24:09.998 --> 00:24:14.483 With constant care, and a decade's long record of data, 404 00:24:14.503 --> 00:24:17.185 their irrigation strategy was modified, 405 00:24:17.205 --> 00:24:20.071 and the vines made it through. 406 00:24:20.091 --> 00:24:25.377 Not only that, but water usage was cut in half on some acres. 407 00:24:25.397 --> 00:24:28.597 The company uses commercial satellite data, too, 408 00:24:28.617 --> 00:24:30.215 but as Dokoozlian said, 409 00:24:30.235 --> 00:24:40.425 "Landsat is the most robust form of imagery across the state. We trust it more." 410 00:24:40.445 --> 00:24:44.279 In fact the company is moving to a system of irrigation 411 00:24:44.299 --> 00:24:50.385 that is mapped according to 30 by 30-meter Landsat pixels. 412 00:24:50.405 --> 00:24:54.773 Working with IBM and an irrigation company called Netafim, 413 00:24:54.793 --> 00:25:00.245 Gallo is developing what they call "farming by pixel." 414 00:25:00.265 --> 00:25:03.348 Taking the foundational data from Landsat 415 00:25:03.368 --> 00:25:09.488 and converting it into drip by drip irrigation decisions. 416 00:25:09.508 --> 00:25:12.707 The company is also talking with its neighbors, 417 00:25:12.727 --> 00:25:15.336 the water intensive almond growers, 418 00:25:15.356 --> 00:25:18.830 about the possibilities for their industry. 419 00:25:18.850 --> 00:25:22.934 This kind of approach would revolutionize the way people irrigate 420 00:25:22.954 --> 00:25:25.086 across the state of California, 421 00:25:25.106 --> 00:25:26.238 where, by the way, 422 00:25:26.258 --> 00:25:33.245 agriculture brings in receipts of 50 billion dollars per year. 423 00:25:33.265 --> 00:25:38.116 So the next time you enjoy a glass of wine, or some almonds, 424 00:25:38.136 --> 00:25:43.171 you might want to offer a toast to Landsat and to GRACE. 425 00:25:43.191 --> 00:25:49.261 [ clapping ] 426 00:25:49.281 --> 00:25:51.930 So California survived its historic drought, 427 00:25:51.950 --> 00:25:55.317 and the public and the private sectors are now retooling 428 00:25:55.337 --> 00:25:57.869 their long-term plans for managing water. 429 00:25:57.889 --> 00:26:00.956 And the view from space will help lead the way. 430 00:26:00.976 --> 00:26:03.158 The drought recovery took years 431 00:26:03.178 --> 00:26:07.913 helped in part by massive storms that stretched across the Pacific this winter and spring 432 00:26:07.933 --> 00:26:12.050 and El Niño driven rain and snow in the years before that. 433 00:26:12.070 --> 00:26:16.271 But while the local El Niño impact was beneficial 434 00:26:16.291 --> 00:26:21.893 it also reminded us of why we study the Earth as an interconnected system. 435 00:26:21.913 --> 00:26:28.183 When a giant swell of warm water emerged in the Pacific Ocean in 2015, 436 00:26:28.203 --> 00:26:31.469 scientists knew to look for impacts. 437 00:26:31.489 --> 00:26:35.106 As El Niño changed the global weather patterns, 438 00:26:35.126 --> 00:26:40.278 Southern Africa went into a severe drought. 439 00:26:40.298 --> 00:26:44.716 On top of already dry conditions, the region experienced its 440 00:26:44.736 --> 00:26:49.804 lowest rainfall in 35 years. 441 00:26:49.824 --> 00:26:53.074 With the SMAP mission, launched in 2015, 442 00:26:53.094 --> 00:26:58.029 NASA has dedicated soil moisture measurements for the first time, 443 00:26:58.049 --> 00:27:02.067 and SMAP could see the severe drought emerging. 444 00:27:02.087 --> 00:27:06.204 SMAP's highly sensitive microwave radiometer detects the energy 445 00:27:06.224 --> 00:27:10.525 emitted by the soil, depending on how wet or how dry it is. 446 00:27:10.545 --> 00:27:11.793 It's like the old gardener's trick; 447 00:27:11.813 --> 00:27:18.083 you squeeze a handful of dirt and you see if it clumps up or if it falls apart. 448 00:27:18.103 --> 00:27:20.368 Think of SMAP as doing the same thing 449 00:27:20.388 --> 00:27:27.692 with a lot more precision, all around the world, every three days. 450 00:27:27.712 --> 00:27:32.330 SMAP allowed us to see the connection between the Pacific Ocean water temperatures 451 00:27:32.350 --> 00:27:36.051 and the moisture in the soil in southern Africa. 452 00:27:36.071 --> 00:27:37.669 But like with the data in California, 453 00:27:37.689 --> 00:27:43.291 these measurements are now being put to operational use more than ever. 454 00:27:43.311 --> 00:27:48.279 SMAP's data was fed into the USDA's global crop yield forecasts, 455 00:27:48.299 --> 00:27:51.599 the Foreign Agriculture Service reports that help drive 456 00:27:51.619 --> 00:27:56.021 multibillion-dollar commodity markets around the world. 457 00:27:56.041 --> 00:27:59.708 In fact, the scientists for this region said that with SMAP, 458 00:27:59.728 --> 00:28:06.581 they now have the first reliable soil moisture data in 30 years. 459 00:28:06.601 --> 00:28:08.817 As the soils dried out 460 00:28:08.837 --> 00:28:12.220 we also used the Terra and the Aqua satellites 461 00:28:12.240 --> 00:28:17.225 to assess the impact on vegetation across the countries of southern Africa. 462 00:28:17.245 --> 00:28:20.261 These NASA soil moisture and vegetation analyses 463 00:28:20.281 --> 00:28:23.648 were also fed into a USAID program 464 00:28:23.668 --> 00:28:27.652 called the Famine Early Warning Systems Network. 465 00:28:27.672 --> 00:28:29.654 As this drought spread, 466 00:28:29.674 --> 00:28:37.629 nearly 30 million people were at risk of drastic food shortages. 467 00:28:37.649 --> 00:28:44.853 Four out of ten people did not have access to clean drinking water 468 00:28:44.873 --> 00:28:50.492 The global view provided by NASA scientists helped inform USAID decisions 469 00:28:50.512 --> 00:28:54.796 about where the agency should send help. 470 00:28:54.816 --> 00:28:58.666 In southern Africa, in 2015 and 2016, 471 00:28:58.686 --> 00:29:05.390 USAID delivered nearly 350 million dollars of emergency water and food aid 472 00:29:05.410 --> 00:29:09.110 to millions of people. 473 00:29:09.130 --> 00:29:12.664 Our planet's population hit seven billion people in 474 00:29:12.684 --> 00:29:17.719 2011 and we will likely hit 8 billion in the next decade. 475 00:29:17.739 --> 00:29:21.790 We are more dependent than ever on our global food system 476 00:29:21.810 --> 00:29:26.111 at a time when we expect droughts like the ones you've seen tonight, 477 00:29:26.131 --> 00:29:29.814 to happen more frequently, with more severity, 478 00:29:29.834 --> 00:29:32.734 for longer periods of time. 479 00:29:32.754 --> 00:29:36.938 The challenge is not only feeding a billion people 480 00:29:36.958 --> 00:29:40.708 but minimizing conflict. 481 00:29:40.728 --> 00:29:43.578 The defense and intelligence communities have named the 482 00:29:43.598 --> 00:29:48.933 increased likelihood of conflict due to food and water shortages 483 00:29:48.953 --> 00:29:56.808 as one of the key threat multipliers they are watching in the 21st century. 484 00:29:56.828 --> 00:29:59.761 Water drives life, 485 00:29:59.781 --> 00:30:03.214 and the global agriculture system that depends on it. 486 00:30:03.234 --> 00:30:07.769 If we want to know and predict what's happening with agriculture locally, 487 00:30:07.789 --> 00:30:11.790 we have to understand this system globally. 488 00:30:11.810 --> 00:30:16.494 And now, to bring us home, here's Marshall. 489 00:30:16.514 --> 00:30:25.537 [ clapping ] 490 00:30:25.557 --> 00:30:26.905 Well, there they are. 491 00:30:26.925 --> 00:30:29.040 They can't ever say they haven't been on a big screen. 492 00:30:29.060 --> 00:30:30.191 [ laughter ] 493 00:30:30.211 --> 00:30:32.393 Those are my kids, 494 00:30:32.413 --> 00:30:34.362 and hopefully tonight you see that 495 00:30:34.382 --> 00:30:36.664 this is not about pretty pictures from satellites. 496 00:30:36.684 --> 00:30:39.634 These are about narratives of society. 497 00:30:39.654 --> 00:30:45.073 It's about their generation and future generations to come. 498 00:30:45.093 --> 00:30:47.342 The bottom line is this for me: 499 00:30:47.362 --> 00:30:52.730 there is no plan B planet, for them or us. 500 00:30:52.750 --> 00:30:56.043 Now Christa and I have shown you several in depth stories about water, 501 00:30:56.063 --> 00:30:59.397 and really only a fraction of the water cycle. 502 00:30:59.417 --> 00:31:01.773 Now keep in mind that NASA is applying the 503 00:31:01.793 --> 00:31:04.584 same intensity of monitoring and research 504 00:31:04.604 --> 00:31:09.309 to answer key questions about other facets of the Earth's system. 505 00:31:09.329 --> 00:31:13.500 For example, what are the trends with the world's ice sheets and glaciers, 506 00:31:13.520 --> 00:31:17.246 and what does that mean for our coastlines in the future? 507 00:31:17.266 --> 00:31:23.305 What do the ongoing changes to the Arctic sea ice mean for the region? 508 00:31:23.325 --> 00:31:27.603 Next year NASA launches the GRACE Follow-On and ICESat-2, 509 00:31:27.623 --> 00:31:31.936 representing major refreshes of our ice and water monitoring capabilities. 510 00:31:31.956 --> 00:31:34.837 And this is important because in order to detect change 511 00:31:34.857 --> 00:31:39.054 we need to see trends, long-term trends. 512 00:31:39.074 --> 00:31:43.263 How is life on land and in the ocean changing around the globe? 513 00:31:43.283 --> 00:31:46.217 How is carbon moving through the air and ocean and land? 514 00:31:46.237 --> 00:31:48.949 And then what does this mean for our future climate? 515 00:31:48.969 --> 00:31:52.523 The coming launches of Landsat 9 and the GEDI lidar 516 00:31:52.543 --> 00:31:58.950 to the International Space Station will advance these investigations. 517 00:31:58.970 --> 00:32:04.778 How will clouds and aerosols respond to, and affect changes, in the Earth's system? 518 00:32:04.798 --> 00:32:09.191 This remains one of the biggest question marks about our climate system. 519 00:32:09.211 --> 00:32:15.077 And there are questions. That's why we as scientists do what we do. 520 00:32:15.097 --> 00:32:17.293 These questions aren't just scientific mysteries. 521 00:32:17.313 --> 00:32:22.498 Together they add up to a larger question of habitability on the planet. 522 00:32:22.518 --> 00:32:25.247 But there is good news. 523 00:32:25.267 --> 00:32:29.625 The good news is that science has tackled these types of challenges before. 524 00:32:29.645 --> 00:32:35.409 Just last month marked the 30th anniversary of the Montreal Protocol, 525 00:32:35.429 --> 00:32:40.054 an international agreement struck within years of science identifying a crisis: 526 00:32:40.074 --> 00:32:42.295 the ozone hole, which you see here. 527 00:32:42.315 --> 00:32:45.632 Now, note that the blue represents depleted ozone. 528 00:32:45.652 --> 00:32:50.517 That's the ozone hole over the Antarctic region. 529 00:32:50.537 --> 00:32:54.797 It would have never been possible without NASA's confirmation from space 530 00:32:54.817 --> 00:33:01.007 of the size and persistence of that hole. 531 00:33:01.027 --> 00:33:04.946 Now let's walk through a world-avoided simulation, 532 00:33:04.966 --> 00:33:08.321 just to kind of bring home the value of understanding that 533 00:33:08.341 --> 00:33:09.861 that ozone hole was there 534 00:33:09.881 --> 00:33:12.370 and doing something about it. 535 00:33:12.390 --> 00:33:17.415 On the left is the world with the Montreal Protocol. 536 00:33:17.435 --> 00:33:20.511 On the right is what the world's ozone layer would look like 537 00:33:20.531 --> 00:33:22.380 in the northern hemisphere 538 00:33:22.400 --> 00:33:25.811 if we didn't pass the Montreal Protocol. 539 00:33:25.831 --> 00:33:31.242 And keep in mind that blue represents depleted ozone. 540 00:33:31.262 --> 00:33:34.748 Watch what happens as we approach the year 2017, 541 00:33:34.768 --> 00:33:37.231 the year that we're in. 542 00:33:37.251 --> 00:33:39.286 Here at the latitude that we are, 543 00:33:39.306 --> 00:33:42.115 if we didn't pass the Montreal Protocol 544 00:33:42.135 --> 00:33:47.881 we would have about 10% more ozone depletion 545 00:33:47.901 --> 00:33:51.369 or 10% more increases, if you will, 546 00:33:51.389 --> 00:33:53.771 in the damaging UV radiation. 547 00:33:53.791 --> 00:33:58.631 Now UV radiation damages our skin, first of all it's a health issue, 548 00:33:58.651 --> 00:34:04.297 and crops that we depend on for food. 549 00:34:04.317 --> 00:34:06.904 So science has risen to the challenge before, 550 00:34:06.924 --> 00:34:11.320 and as challenges mount, will need to again. 551 00:34:11.340 --> 00:34:15.937 But choosing to cast our lot with science is really choosing to put our faith in people. 552 00:34:15.957 --> 00:34:19.521 Yes, we face enormous challenges in the years and decades ahead, 553 00:34:19.541 --> 00:34:23.614 as we push science and society to understand 554 00:34:23.634 --> 00:34:27.546 and manage the resources of our home planet. 555 00:34:27.566 --> 00:34:31.681 There is no better partnership than the one that we see between NASA, 556 00:34:31.701 --> 00:34:32.989 NOAA, 557 00:34:33.009 --> 00:34:34.591 USGS, 558 00:34:34.611 --> 00:34:36.409 other federal agencies 559 00:34:36.429 --> 00:34:39.574 and the vital collaborations with industry partners, 560 00:34:39.594 --> 00:34:43.159 many of which are represented in this room tonight. 561 00:34:43.179 --> 00:34:45.784 This partnership will lead the way 562 00:34:45.804 --> 00:34:47.813 into the 21st century 563 00:34:47.833 --> 00:34:52.298 with optimism that we can solve these challenges together. 564 00:34:52.318 --> 00:34:54.647 Our work has just begun. 565 00:34:54.667 --> 00:34:55.536 Thank you. 566 00:34:55.556 --> 00:35:03.553 [ applause ]- 567 00:35:03.573 --> 00:35:09.591 [ beeping ]