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These are the user uploaded subtitles that are being translated: 1 00:00:07,920 --> 00:00:09,469 We have been observing our home 2 00:00:09,470 --> 00:00:14,469 for 40 years now; in the last 20 of those 3 00:00:14,959 --> 00:00:17,211 we have focused intensely on Planet Earth, 4 00:00:19,368 --> 00:00:22,096 with new technologies and capabilities 5 00:00:22,097 --> 00:00:25,046 accumulating a massive data that is now revealing 6 00:00:25,047 --> 00:00:28,269 a complex and ever-changing living planet. 7 00:01:11,895 --> 00:01:14,486 They've been watching us from space, 8 00:01:14,487 --> 00:01:17,715 for the last two decades in high-resolution detail, 9 00:01:17,716 --> 00:01:19,409 watching our every move. 10 00:01:20,725 --> 00:01:24,394 Clouds and aerosols, winds and hurricanes, 11 00:01:24,395 --> 00:01:27,183 forests and cities, droughts and floods, 12 00:01:27,184 --> 00:01:29,343 the ocean currents and plankton, 13 00:01:29,344 --> 00:01:31,726 life in the ocean and on land. 14 00:01:35,282 --> 00:01:36,175 Land cover. 15 00:01:37,892 --> 00:01:38,975 Aerosols. 16 00:01:40,131 --> 00:01:41,664 Chlorophyll concentrations. 17 00:01:42,991 --> 00:01:43,881 Wave heights. 18 00:01:43,882 --> 00:01:45,483 Ozone concentrations. 19 00:01:48,970 --> 00:01:50,262 Atmospheric moisture. 20 00:01:51,219 --> 00:01:52,488 The human footprint. 21 00:01:52,489 --> 00:01:53,642 Sea-level change. 22 00:01:54,588 --> 00:01:57,131 And temperatures and moisture in the soil. 23 00:02:00,117 --> 00:02:02,836 Now scientists have a high-definition dataset 24 00:02:02,837 --> 00:02:06,059 spanning two decades to study and to learn from. 25 00:02:11,505 --> 00:02:13,084 - NASA has a fleet of satellites 26 00:02:13,085 --> 00:02:14,733 that are always measuring Earth. 27 00:02:14,734 --> 00:02:16,733 They're looking at land, oceans, 28 00:02:16,734 --> 00:02:19,572 atmospheres, ice, altogether. 29 00:02:19,573 --> 00:02:23,472 The particular visualization represents the measurement 30 00:02:23,473 --> 00:02:26,411 of all life on Earth over 20 years. 31 00:02:26,412 --> 00:02:29,460 I personally find it mesmerizing. 32 00:02:29,461 --> 00:02:31,240 You're watching the Earth breathe here. 33 00:02:31,241 --> 00:02:32,550 The seasons are changing. 34 00:02:32,551 --> 00:02:34,149 Ice is coming in, and retreating. 35 00:02:34,150 --> 00:02:36,489 You can see the forests on land in green 36 00:02:36,490 --> 00:02:38,569 expanding and contracting. 37 00:02:38,570 --> 00:02:40,638 Can see the deserts moving to the ocean. 38 00:02:40,639 --> 00:02:43,937 You can see biological deserts in the centers of the ocean, 39 00:02:43,938 --> 00:02:45,957 represented by blues and purples. 40 00:02:45,958 --> 00:02:48,596 And then, as you look further north in the Atlantic, 41 00:02:48,597 --> 00:02:51,526 or towards Antarctica, you can see these greens and yellows. 42 00:02:51,527 --> 00:02:52,956 Explosion of life in the ocean 43 00:02:52,957 --> 00:02:55,785 just like on land in the spring and summer. 44 00:02:55,786 --> 00:02:56,619 Incredible. 45 00:02:58,635 --> 00:03:00,214 - What we see for the first time 46 00:03:00,215 --> 00:03:03,953 is how the oceans and the land behave at the same time, 47 00:03:03,954 --> 00:03:05,843 through time, for 20 years. 48 00:03:05,844 --> 00:03:08,203 We've never had data like these before. 49 00:03:08,204 --> 00:03:11,392 Half of our photosynthesis occurs in the oceans 50 00:03:11,393 --> 00:03:13,191 and the other half on land. 51 00:03:13,192 --> 00:03:17,311 Having these data to show both at the same time, 52 00:03:17,312 --> 00:03:19,670 day after day, month after month, 53 00:03:19,671 --> 00:03:21,440 year after year for 20 years, 54 00:03:21,441 --> 00:03:24,903 is a great tool to study life on Earth. 55 00:03:29,679 --> 00:03:32,548 NASA has observed many aspects 56 00:03:32,549 --> 00:03:35,767 of the coupled land-ocean-atmosphere system 57 00:03:35,768 --> 00:03:37,647 and how they interact. 58 00:03:37,648 --> 00:03:41,316 For example, we see that with warmer surface temperatures, 59 00:03:41,317 --> 00:03:43,435 the growing season is getting longer 60 00:03:43,436 --> 00:03:47,555 at higher northern latitudes, and spring is coming earlier. 61 00:03:47,556 --> 00:03:50,714 With satellite data we're able to map this 62 00:03:50,715 --> 00:03:53,353 continuously across the Earth's surface 63 00:03:53,354 --> 00:03:56,273 and across the United States and across Alaska. 64 00:03:56,274 --> 00:03:58,122 Before that time, you had to rely 65 00:03:58,123 --> 00:03:59,752 where you had weather stations, 66 00:03:59,753 --> 00:04:02,102 and so you had points here, points there, 67 00:04:02,103 --> 00:04:06,295 but you never had continuous data like these. 68 00:04:09,861 --> 00:04:14,469 Using these data, we can look over very large areas, 69 00:04:14,470 --> 00:04:16,959 and see regional effects. 70 00:04:16,960 --> 00:04:18,728 Sometimes these effects are positive, 71 00:04:18,729 --> 00:04:20,998 and nothing bad has happened. 72 00:04:20,999 --> 00:04:23,547 It's only with these data we're able to do this 73 00:04:23,548 --> 00:04:25,937 over all these areas at the same time, 74 00:04:25,938 --> 00:04:29,016 and this is made possible by the use of Earth-viewing 75 00:04:29,017 --> 00:04:32,885 satellites, which orbit the Earth day after day, 76 00:04:32,886 --> 00:04:35,075 month after month, year after year. 77 00:04:35,076 --> 00:04:39,554 These data are the basis for saying these things about Earth 78 00:04:39,555 --> 00:04:42,094 with confidence because we measure them. 79 00:04:42,095 --> 00:04:45,003 The view from space is opened our eyes 80 00:04:45,004 --> 00:04:46,453 to so many different things. 81 00:04:46,454 --> 00:04:50,892 You can see transitions from La Nina to El Nino, 82 00:04:50,893 --> 00:04:54,511 represented by huge blooms of life across the Pacific Ocean 83 00:04:54,512 --> 00:04:58,230 at the Equator, bigger and wider than the United States. 84 00:04:58,231 --> 00:05:01,430 You can see greening of the Arctic. 85 00:05:01,431 --> 00:05:04,839 You can see earlier summers, later winters, 86 00:05:04,840 --> 00:05:08,532 and you can see the emergence of harmful nuisance algae. 87 00:05:14,188 --> 00:05:16,317 Charting the carbon-dioxide cycle through 88 00:05:16,318 --> 00:05:19,326 the atmosphere, land, and ocean is essential 89 00:05:19,327 --> 00:05:21,486 to understanding the environmental changes 90 00:05:21,487 --> 00:05:22,959 that man is driving. 91 00:05:23,996 --> 00:05:27,047 Higher carbon dioxide, or CO2, in the Earth's atmosphere 92 00:05:27,048 --> 00:05:29,064 appears as red and yellow, 93 00:05:29,065 --> 00:05:31,947 while lower-than-average CO2 is shown as blue. 94 00:05:33,224 --> 00:05:34,893 The pulsing of the data is due to 95 00:05:34,894 --> 00:05:38,452 the day-night cycle of plant photosynthesis. 96 00:05:38,453 --> 00:05:41,122 As CO2 is lifted away from the surface, 97 00:05:41,123 --> 00:05:43,001 it is rapidly spread around the world 98 00:05:43,002 --> 00:05:44,695 by high-altitude winds. 99 00:05:45,562 --> 00:05:48,170 CO2 builds up in the Northern-Hemisphere winter, 100 00:05:48,171 --> 00:05:50,080 when plants are dormant. 101 00:05:50,081 --> 00:05:53,199 By summer, photosynthesis draws massive amounts 102 00:05:53,200 --> 00:05:55,729 of CO2 out of the atmosphere, 103 00:05:55,730 --> 00:05:58,922 resulting in lower CO2 throughout the Northern Hemisphere. 104 00:06:02,698 --> 00:06:05,997 The growth and decay of vegetation in the northern lands 105 00:06:05,998 --> 00:06:08,650 causes the seasonal change in atmospheric CO2. 106 00:06:09,927 --> 00:06:13,135 Longterm, however, it is human activity 107 00:06:13,136 --> 00:06:16,228 that is increasing overall CO2 levels. 108 00:06:21,894 --> 00:06:24,633 - 2017 was the second-warmest year ever recorded, 109 00:06:24,634 --> 00:06:26,802 and the warmest non-El-Nino year. 110 00:06:26,803 --> 00:06:28,872 That makes five of the warmest years 111 00:06:28,873 --> 00:06:31,561 ever recorded just since 2010. 112 00:06:31,562 --> 00:06:33,741 NASA scientists have taken weather-station data 113 00:06:33,742 --> 00:06:37,199 from over 6,000 stations, and we've connected the dots 114 00:06:37,200 --> 00:06:39,810 to understand how our Earth is changing. 115 00:06:39,811 --> 00:06:40,644 In this. 116 00:06:41,950 --> 00:06:44,079 Growing as we look at how much 117 00:06:44,080 --> 00:06:47,998 high latitudes in places like Alaska have warmed since 1950. 118 00:06:47,999 --> 00:06:50,298 So, across the globe we're seeing a consistent trend 119 00:06:50,299 --> 00:06:52,827 towards warming but with twice as much warming 120 00:06:52,828 --> 00:06:54,728 across the high latitudes like Alaska. 121 00:07:02,486 --> 00:07:03,456 This rapid increase 122 00:07:03,457 --> 00:07:06,354 in overall global temperatures is clearly defined 123 00:07:06,355 --> 00:07:09,188 when satellite data is added to the model. 124 00:07:15,853 --> 00:07:19,372 - The ability to expand your senses into space, 125 00:07:19,373 --> 00:07:24,171 compress time, watch visualizations like these, 126 00:07:24,172 --> 00:07:27,810 see how the ecosystems of land, ocean, atmosphere, 127 00:07:27,811 --> 00:07:31,139 ice, all interact, and then be able to rewind it, 128 00:07:31,140 --> 00:07:32,590 and watch it again and again, 129 00:07:33,960 --> 00:07:36,705 it's, yeah, it's amazing. 130 00:07:53,067 --> 00:07:55,324 Ask any astronaut. 131 00:07:55,325 --> 00:07:58,325 When they look down at Earth, they see a single environment. 132 00:07:59,874 --> 00:08:02,223 No borders, no plains, 133 00:08:02,224 --> 00:08:05,066 just a single planet which we all have to rely on. 134 00:08:09,433 --> 00:08:11,311 With this data, scientists can check up 135 00:08:11,312 --> 00:08:12,662 on the health of the plant. 136 00:08:14,651 --> 00:08:17,774 One primary concern is the Ozone Layer. 137 00:08:23,140 --> 00:08:25,768 - We know the Montreal Protocol was a huge success. 138 00:08:25,769 --> 00:08:28,348 This was signed in late 1980s, 139 00:08:28,349 --> 00:08:31,437 when scientists and policymakers from around the world 140 00:08:31,438 --> 00:08:33,911 gathered together to try to save the Ozone Layer. 141 00:08:35,417 --> 00:08:37,176 - The chemicals they regulated persist 142 00:08:37,177 --> 00:08:39,295 in the atmosphere for many decades. 143 00:08:39,296 --> 00:08:40,605 They thin the Ozone Layer, 144 00:08:40,606 --> 00:08:43,145 and they create a seasonal hole over Antarctica. 145 00:08:43,146 --> 00:08:45,414 They basically take away part of our planet's 146 00:08:45,415 --> 00:08:48,244 natural sunscreen, and that increases the risk 147 00:08:48,245 --> 00:08:50,477 of skin cancer and damage to plants. 148 00:08:51,704 --> 00:08:53,813 Scientists have projected the ozone hole 149 00:08:53,814 --> 00:08:57,272 will disappear almost completely by 2075. 150 00:08:57,273 --> 00:08:59,885 But several factors could delay that outcome. 151 00:09:00,872 --> 00:09:02,631 - There're some industrial compounds 152 00:09:02,632 --> 00:09:04,900 that did not banned by the Montreal Protocol, 153 00:09:04,901 --> 00:09:06,750 but as they enter the atmosphere, 154 00:09:06,751 --> 00:09:09,219 they will also hurt the Ozone Layer. 155 00:09:09,220 --> 00:09:12,559 - But the unregulated compounds have a short lifespan 156 00:09:12,560 --> 00:09:15,198 in the atmosphere, unlike the chlorofluorocarbons 157 00:09:15,199 --> 00:09:16,768 that were originally regulated. 158 00:09:16,769 --> 00:09:19,257 So they have a short-lived impact on ozone, 159 00:09:19,258 --> 00:09:20,987 and we don't think they'll delay recovery 160 00:09:20,988 --> 00:09:22,581 by more than a few years. 161 00:09:24,427 --> 00:09:27,456 - We've projected, by 2050 more than half 162 00:09:27,457 --> 00:09:30,125 of the ozone-depleting compounds in the atmosphere 163 00:09:30,126 --> 00:09:33,359 will come from long-lived substances banned by the protocol. 164 00:09:35,115 --> 00:09:36,794 Because these compounds stay in the air 165 00:09:36,795 --> 00:09:37,884 for such a long time, 166 00:09:37,885 --> 00:09:41,113 compared to the unregulated short-lived compounds, 167 00:09:41,114 --> 00:09:42,603 they will have a disproportionate 168 00:09:42,604 --> 00:09:44,456 and lingering impact on ozone. 169 00:09:45,483 --> 00:09:47,542 Any noncompliance with protocol 170 00:09:47,543 --> 00:09:49,635 can have significant consequences. 171 00:09:51,027 --> 00:09:54,630 - The really big uncertainty in Ozone-Layer recovery 172 00:09:54,631 --> 00:09:55,720 is climate change. 173 00:09:55,721 --> 00:09:58,969 There're many naturally-produced ozone-depleting substances 174 00:09:58,970 --> 00:10:01,059 that're emitted by the oceans, 175 00:10:01,060 --> 00:10:03,958 and as the oceans continue to warm due to climate change 176 00:10:03,959 --> 00:10:05,638 those emissions will increase, 177 00:10:05,639 --> 00:10:08,667 and that will further delay ozone recovery. 178 00:10:08,668 --> 00:10:10,764 Scientists want to understand better 179 00:10:10,765 --> 00:10:14,716 how climate change will affect ozone recovery. 180 00:10:14,717 --> 00:10:16,356 - This is a hard problem. 181 00:10:16,357 --> 00:10:17,716 As a scientific community, 182 00:10:17,717 --> 00:10:20,425 we need to work on this major issue. 183 00:10:20,426 --> 00:10:23,924 We now have a powerful new tool to simulate atmosphere 184 00:10:23,925 --> 00:10:28,173 and its interaction with land and ocean to study this issue, 185 00:10:28,174 --> 00:10:29,874 and that's what we're going to do. 186 00:10:35,991 --> 00:10:37,991 At the top of the world, however, 187 00:10:37,992 --> 00:10:41,106 the arctic ice continues to shrink. 188 00:10:49,540 --> 00:10:51,309 - Sea ice is the ice that grows 189 00:10:51,310 --> 00:10:53,258 and melts within the Arctic Ocean. 190 00:10:53,259 --> 00:10:55,598 It grows in the wintertime when it gets cold, 191 00:10:55,599 --> 00:10:58,111 and melts during through the summertime. 192 00:10:59,348 --> 00:11:01,787 It doesn't raise sea level but it's very important 193 00:11:01,788 --> 00:11:05,326 for the global climate system because the ice is very bright 194 00:11:05,327 --> 00:11:08,285 and reflective, reflects a lotta the Sun's energy 195 00:11:08,286 --> 00:11:10,185 that comes in during the summertime 196 00:11:10,186 --> 00:11:12,365 and helps keep the Arctic cooler. 197 00:11:12,366 --> 00:11:16,384 It's like a refrigerator for the global climate system, 198 00:11:16,385 --> 00:11:18,943 by keeping the globe cooler 199 00:11:18,944 --> 00:11:20,993 than it normally would be without sea ice. 200 00:11:20,994 --> 00:11:22,632 As we lose the ice, 201 00:11:22,633 --> 00:11:25,092 it's like we're opening the refrigerator door, 202 00:11:25,093 --> 00:11:28,185 and not cooling things as efficiently as we used to. 203 00:11:29,612 --> 00:11:31,841 Constant observation since the '70s 204 00:11:31,842 --> 00:11:33,564 lets us see a trend. 205 00:11:34,631 --> 00:11:37,949 - The Arctic sea ice has been changing quite rapidly. 206 00:11:37,950 --> 00:11:41,539 We've seen a decline over 35-plus years of our record. 207 00:11:41,540 --> 00:11:44,668 The last 15 years, particularly, it's been accelerating. 208 00:11:44,669 --> 00:11:47,267 So, really, it's become a matter of when, 209 00:11:47,268 --> 00:11:49,227 not if we lose the Arctic sea ice, 210 00:11:49,228 --> 00:11:51,147 because we have a lotta warmth in the Arctic, 211 00:11:51,148 --> 00:11:52,906 it's gonna continue to warm, 212 00:11:52,907 --> 00:11:54,906 we're gonna continue to melt sea ice. 213 00:11:54,907 --> 00:11:57,595 There's uncertainty as to exactly when that will happen, 214 00:11:57,596 --> 00:11:59,555 but sometime in the not-too-distant future, 215 00:11:59,556 --> 00:12:02,824 faster than we used to think, the Arctic Ocean 216 00:12:02,825 --> 00:12:05,678 will be substantially ice-free by the end of summer. 217 00:12:07,194 --> 00:12:08,863 Arctic sea ice is not the only place 218 00:12:08,864 --> 00:12:09,903 we're seeing big changes. 219 00:12:09,904 --> 00:12:12,512 We're also seeing big changes in Greenland, 220 00:12:12,513 --> 00:12:16,622 which is the big massive ice on top of the continent, 221 00:12:16,623 --> 00:12:18,671 and we're seeing more and more melt, 222 00:12:18,672 --> 00:12:22,550 we're seeing ice calving off as icebergs. 223 00:12:22,551 --> 00:12:25,820 We're seeing big masses of ice loss 224 00:12:25,821 --> 00:12:28,299 over the last several years. 225 00:12:28,300 --> 00:12:31,608 That means that that ice is going into the ocean, 226 00:12:31,609 --> 00:12:33,068 that's raising sea level. 227 00:12:33,069 --> 00:12:35,398 That's gonna have big impacts down the road 228 00:12:35,399 --> 00:12:38,890 as we continue to lose more and more ice from Greenland. 229 00:12:42,457 --> 00:12:44,176 Ancient air bubbles trapped in ice 230 00:12:44,177 --> 00:12:47,165 enable us to step back in time, and see what Earth's 231 00:12:47,166 --> 00:12:51,145 atmosphere and climate were like in the distant past. 232 00:12:51,146 --> 00:12:53,934 Today we stand on the threshold of a new geologic era 233 00:12:53,935 --> 00:12:56,863 which some term the Anthropocene, where the climate 234 00:12:56,864 --> 00:13:00,183 is very different to the one our ancestors knew. 235 00:13:00,184 --> 00:13:02,242 - We can see that a warmer world means 236 00:13:02,243 --> 00:13:04,562 that there's an impact for warming temperatures 237 00:13:04,563 --> 00:13:06,401 in the Arctic, melting sea ice. 238 00:13:06,402 --> 00:13:09,781 That sea ice leads to larger sea-level rise. 239 00:13:09,782 --> 00:13:12,750 NASA scientists are on the ground, in airplanes, 240 00:13:12,751 --> 00:13:15,530 and using our satellite data to understand how what starts 241 00:13:15,531 --> 00:13:17,980 in the Arctic doesn't exactly stay in the Arctic. 242 00:13:27,878 --> 00:13:30,037 The hope is that all this data collection 243 00:13:30,038 --> 00:13:32,936 will mean that real-world problems can be reassessed 244 00:13:32,937 --> 00:13:35,466 and new angles explored. 245 00:13:35,467 --> 00:13:38,779 A case in point: dolphin and whale stranding. 246 00:13:39,676 --> 00:13:41,554 Could this accumulated satellite data 247 00:13:41,555 --> 00:13:42,998 help address the problem? 248 00:13:44,135 --> 00:13:46,363 Cape Cod in the US State of Massachusetts 249 00:13:46,364 --> 00:13:48,523 is home to one of the most frequent marine-mammal 250 00:13:48,524 --> 00:13:50,679 stranding sites in the world. 251 00:13:50,680 --> 00:13:53,242 - If we can get there quickly, and provide supportive care, 252 00:13:53,243 --> 00:13:55,992 they have a much better prognoses in terms of survival. 253 00:13:57,212 --> 00:13:59,301 Scientists know very little about why 254 00:13:59,302 --> 00:14:01,910 these mammals strand, and only a quick 255 00:14:01,911 --> 00:14:05,463 and efficient response in these events will save lives. 256 00:14:07,170 --> 00:14:09,239 Katie Muir works on the frontline, 257 00:14:09,240 --> 00:14:11,332 and has fine-tuned rescue efforts. 258 00:14:12,269 --> 00:14:16,327 - If we can develop an algorithm that pieces together 259 00:14:16,328 --> 00:14:20,516 the different variables that may be causing mass strandings 260 00:14:20,517 --> 00:14:21,976 or driving mass strandings, 261 00:14:21,977 --> 00:14:24,626 then we have the ability to then prevent them. 262 00:14:24,627 --> 00:14:26,525 We can have teams that are out on the shore 263 00:14:26,526 --> 00:14:28,365 looking for animals in those hotspots, 264 00:14:28,366 --> 00:14:30,954 knowing that all those variables have come together 265 00:14:30,955 --> 00:14:32,354 and this is a likely point in time 266 00:14:32,355 --> 00:14:33,504 where we're likely to see it. 267 00:14:33,505 --> 00:14:36,033 But we can also have teams ready to respond 268 00:14:36,034 --> 00:14:38,643 so that if they do strand, we're there that much faster, 269 00:14:38,644 --> 00:14:41,442 and more animals will survive the event. 270 00:14:41,443 --> 00:14:42,682 Marine biologists from 271 00:14:42,683 --> 00:14:44,802 the US Bureau of Ocean Energy Management 272 00:14:44,803 --> 00:14:47,401 were also looking at this problem. 273 00:14:47,402 --> 00:14:50,340 - For the large proportion of these strandings, 274 00:14:50,341 --> 00:14:55,340 the animals are across the ages, in pretty good health, 275 00:14:55,500 --> 00:14:58,459 and there's no really immediate evidence 276 00:14:58,460 --> 00:15:00,688 as to why they actually strand. 277 00:15:00,689 --> 00:15:03,538 One possibility is geomagnetic perception: 278 00:15:03,539 --> 00:15:06,927 the ability to navigate using Earth's magnetic field, 279 00:15:06,928 --> 00:15:09,467 which is believed to be used by marine mammals. 280 00:15:09,468 --> 00:15:12,796 Could changes in the magnetic field confuse the animal? 281 00:15:12,797 --> 00:15:16,975 Geomagnetic pulses or storms can be caused by space weather. 282 00:15:16,976 --> 00:15:21,134 - Geomagnetic perception is one of the theories. 283 00:15:21,135 --> 00:15:24,261 I thought: "Well, hmm, if a magnetometer can pick it up, 284 00:15:24,262 --> 00:15:26,943 "maybe the animals actually can pick it up." 285 00:15:26,944 --> 00:15:28,823 Dr. Reeb consulted with NASA 286 00:15:28,824 --> 00:15:31,152 at the Goddard Space Flight Center. 287 00:15:31,153 --> 00:15:32,992 The coolest thing was that we realized 288 00:15:32,993 --> 00:15:36,511 that nobody had really taken a cold hard data 289 00:15:36,512 --> 00:15:38,496 science analysis look at the problems. 290 00:15:38,497 --> 00:15:40,260 - What we're trying to look at here 291 00:15:40,261 --> 00:15:43,500 was if there was a potential driver or relationship 292 00:15:43,501 --> 00:15:46,549 or correlation between the occurrence of mass strandings 293 00:15:46,550 --> 00:15:48,869 and any solar activity. 294 00:15:48,870 --> 00:15:52,048 - The data that we have correlated, or analyzed so far 295 00:15:52,049 --> 00:15:56,067 is information about the local geomagnetic conditions. 296 00:15:56,068 --> 00:15:59,826 We have long data records from geophysical observatories 297 00:15:59,827 --> 00:16:02,696 of the local geomagnetic-field variations 298 00:16:02,697 --> 00:16:04,779 and marine-mammal stranding. 299 00:16:05,676 --> 00:16:07,865 Their analysis was inconclusive. 300 00:16:07,866 --> 00:16:11,924 They needed more data from other environmental conditions. 301 00:16:11,925 --> 00:16:15,113 - Easy-fix correlation between a geomagnetic pulse 302 00:16:15,114 --> 00:16:19,502 and, ooh, a stranding, doesn't seem to be very evident, 303 00:16:19,503 --> 00:16:22,752 but what it does show is that there are multiple variables 304 00:16:22,753 --> 00:16:26,411 involved in this equation and that the geomagnetic storms 305 00:16:26,412 --> 00:16:30,490 could just be one very small part of it, significant still. 306 00:16:30,491 --> 00:16:34,209 But, it looks like there are multiple oceanographic 307 00:16:34,210 --> 00:16:36,033 and environmental elements. 308 00:16:37,000 --> 00:16:38,479 With more data in hand, 309 00:16:38,480 --> 00:16:40,938 it was time to expand the team. 310 00:16:40,939 --> 00:16:43,847 They recruited statisticians and the expertise 311 00:16:43,848 --> 00:16:45,907 of NASA Earth-science data analyst 312 00:16:45,908 --> 00:16:48,191 and oceanographer Erdem Karakoylu. 313 00:16:50,387 --> 00:16:53,815 - A dataset, no matter its shape or content, 314 00:16:53,816 --> 00:16:55,655 always has a story to tell. 315 00:16:55,656 --> 00:16:59,344 Trying to figure out how different data are connected, 316 00:16:59,345 --> 00:17:03,613 I think, require a wide diversity of skills 317 00:17:03,614 --> 00:17:05,393 and background knowledge. 318 00:17:05,394 --> 00:17:07,023 - For example, I'll be explaining 319 00:17:07,024 --> 00:17:09,642 how a mass stranding occurs and how we respond to try 320 00:17:09,643 --> 00:17:12,422 and understand why I'm presenting the data in a certain way, 321 00:17:12,423 --> 00:17:14,681 and my colleagues from NASA will look at me, 322 00:17:14,682 --> 00:17:16,431 and ask questions that wouldn't think to ask 323 00:17:16,432 --> 00:17:18,690 because I take for granted my understanding, 324 00:17:18,691 --> 00:17:20,470 and they're coming at it from a totally new angle 325 00:17:20,471 --> 00:17:21,870 with no background. 326 00:17:21,871 --> 00:17:23,759 These datasets may reveal a pattern, 327 00:17:23,760 --> 00:17:26,719 allowing scientists to predict the likelihood 328 00:17:26,720 --> 00:17:30,352 and location of mass stranding before it happens. 329 00:17:31,299 --> 00:17:34,757 - We've really sort of slowly peeled the first layer 330 00:17:34,758 --> 00:17:37,677 of this onion back, and I think that there's so many 331 00:17:37,678 --> 00:17:41,526 more layers that still need to be addressed and looked it. 332 00:17:41,527 --> 00:17:44,795 I hope that we can actually find additional collaborators, 333 00:17:44,796 --> 00:17:48,684 additional funding partners to really bring all the data 334 00:17:48,685 --> 00:17:51,274 that's really available to really give this 335 00:17:51,275 --> 00:17:53,997 the study and the scrutiny that it deserves. 336 00:17:55,004 --> 00:17:57,652 - We are also going other make all these datasets 337 00:17:57,653 --> 00:18:00,432 available to the entire scientific community 338 00:18:00,433 --> 00:18:03,561 so that we can utilize the entire scientific community, 339 00:18:03,562 --> 00:18:06,935 attack, and a new approach to this problem. 340 00:18:08,941 --> 00:18:12,070 - I think that there will be other things 341 00:18:12,071 --> 00:18:16,259 to take and run with, get new ideas, maybe add more data. 342 00:18:16,260 --> 00:18:18,618 I'm hoping also there will be a model 343 00:18:18,619 --> 00:18:23,618 for how projects can then be opened to the wider public. 344 00:18:33,596 --> 00:18:35,265 - The ability to release animals 345 00:18:35,266 --> 00:18:37,774 after they've stranded is tremendous. 346 00:18:37,775 --> 00:18:40,324 When we do that, that's the best feeling in the world 347 00:18:40,325 --> 00:18:42,583 after all of that hard work. 348 00:18:42,584 --> 00:18:46,623 - Those questions that seem unanswerable, 349 00:18:46,624 --> 00:18:49,402 if you give them time and support and effort 350 00:18:49,403 --> 00:18:52,355 and put people on them, we can do amazing things. 351 00:19:14,358 --> 00:19:15,977 Data from satellites reveals 352 00:19:15,978 --> 00:19:19,726 the interconnection between air, sea, and land. 353 00:19:19,727 --> 00:19:22,365 This is a visualization of three aerosols: 354 00:19:22,366 --> 00:19:24,729 dust, smoke, and sea salt. 355 00:19:26,246 --> 00:19:29,414 The CALIPSO-Satellite data reveals in 3D 356 00:19:29,415 --> 00:19:31,903 how dust from the arid Sahara Desert 357 00:19:31,904 --> 00:19:34,773 is lifted by the winds each year, and transported 358 00:19:34,774 --> 00:19:39,107 nearly 5,000 kilometers across the Atlantic Ocean. 359 00:19:43,142 --> 00:19:45,321 Some of it settles in the Amazon Basin, 360 00:19:45,322 --> 00:19:47,930 the largest rainforest on the planet. 361 00:19:47,931 --> 00:19:50,290 Sahara dust contains phosphorus, 362 00:19:50,291 --> 00:19:52,699 an important nutrient for plants. 363 00:19:52,700 --> 00:19:54,689 CALIPSO shows that, on average, 364 00:19:54,690 --> 00:19:59,002 182 million tons of dust leaves Africa each year. 365 00:20:00,409 --> 00:20:03,127 When the Sahel was dry, the dust transport 366 00:20:03,128 --> 00:20:05,947 to the Amazon in the next year would increase; 367 00:20:05,948 --> 00:20:09,280 when it was wet, dust transport would decrease. 368 00:20:10,627 --> 00:20:14,055 We can now track global precipitation, wind currents, 369 00:20:14,056 --> 00:20:16,128 cloud cover, and ocean temperature. 370 00:20:17,225 --> 00:20:19,774 Satellites have detected a shift in phytoplankton 371 00:20:19,775 --> 00:20:23,693 populations across the planet's five great ocean basins, 372 00:20:23,694 --> 00:20:26,652 showing the expansion of biological desert 373 00:20:26,653 --> 00:20:28,106 where little life thrives. 374 00:20:29,543 --> 00:20:31,791 Diatoms are one of the most abundant types 375 00:20:31,792 --> 00:20:36,260 of marine phytoplankton, but a new 15-year-long NASA study 376 00:20:36,261 --> 00:20:38,944 reveals global populations have declined. 377 00:20:39,961 --> 00:20:43,009 Diatoms, like all phytoplankton, have chlorophyll, 378 00:20:43,010 --> 00:20:46,468 the same photosynthesizing pigment as plants. 379 00:20:46,469 --> 00:20:48,238 They occupy the surface of the ocean, 380 00:20:48,239 --> 00:20:51,197 where they harvest light from the Sun. 381 00:20:51,198 --> 00:20:55,127 In large numbers, diatoms form colorful swirling blooms 382 00:20:55,128 --> 00:20:56,860 that can be seen from space. 383 00:20:57,897 --> 00:20:59,306 According to the study, 384 00:20:59,307 --> 00:21:02,925 significant decreases in populations, shown here in red, 385 00:21:02,926 --> 00:21:04,849 are mainly in the Northern Hemisphere. 386 00:21:05,915 --> 00:21:09,694 - Diatoms rely on nutrients such as nitrate, silicate, 387 00:21:09,695 --> 00:21:12,993 and iron to reach the surface layer where they live. 388 00:21:12,994 --> 00:21:15,952 What the study shows is that the availability 389 00:21:15,953 --> 00:21:18,112 of these nutrients has changed 390 00:21:18,113 --> 00:21:21,208 due to the Wave Cycle within the water column. 391 00:21:21,209 --> 00:21:23,661 Diatoms occupy the surface area of the ocean 392 00:21:23,662 --> 00:21:25,870 called the Mixed Layer. 393 00:21:25,871 --> 00:21:27,740 Nutrients collect on the ocean floor, 394 00:21:27,741 --> 00:21:30,359 and are cycled up to this layer. 395 00:21:30,360 --> 00:21:32,619 Various physical forces can cause the depth 396 00:21:32,620 --> 00:21:34,789 of the mixed layer to become shallower 397 00:21:34,790 --> 00:21:37,648 so that fewer nutrients reach the diatoms. 398 00:21:37,649 --> 00:21:40,331 Without these, their populations decline. 399 00:21:41,398 --> 00:21:43,087 This map shows areas on the globe 400 00:21:43,088 --> 00:21:45,504 where the depth of the Mixed Layer shallowed. 401 00:21:46,437 --> 00:21:48,466 - It's hard to pinpoint exactly 402 00:21:48,467 --> 00:21:50,305 why these change have happen. 403 00:21:50,306 --> 00:21:54,065 Things like wind, circulation, and temperature can affect 404 00:21:54,066 --> 00:21:57,454 the way these nutrients are brought to the surface layer. 405 00:21:57,455 --> 00:22:00,393 We hope a longer study can yield more information 406 00:22:00,394 --> 00:22:02,973 on whether these changes are, in fact, 407 00:22:02,974 --> 00:22:05,743 a trend or variability. 408 00:22:53,444 --> 00:22:54,932 Next-generation satellites 409 00:22:54,933 --> 00:22:58,522 are reaching orbit now to continue this important work. 410 00:22:58,523 --> 00:23:01,901 They will collect data, maintain observation continuity, 411 00:23:01,902 --> 00:23:03,371 and allow scientists to track 412 00:23:03,372 --> 00:23:04,921 the changes in our environment. 413 00:23:05,831 --> 00:23:08,340 They can then model dynamic simulations 414 00:23:08,341 --> 00:23:11,279 to better understand this unique planet 415 00:23:11,280 --> 00:23:14,974 and the myriad of lifeforms that rely on it. 33637

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