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These are the user uploaded subtitles that are being translated: 1 00:00:00,770 --> 00:00:04,187 (eerie electronic music) 2 00:00:07,670 --> 00:00:09,220 - [Narrator] We have been observing our home 3 00:00:09,220 --> 00:00:14,220 for 40 years now; in the last 20 of those 4 00:00:14,710 --> 00:00:16,963 we have focused intensely on Planet Earth, 5 00:00:19,120 --> 00:00:21,850 with new technologies and capabilities 6 00:00:21,850 --> 00:00:24,800 accumulating a massive data that is now revealing 7 00:00:24,800 --> 00:00:28,023 a complex and ever-changing living planet. 8 00:00:30,474 --> 00:00:33,807 (dramatic fusion music) 9 00:01:00,310 --> 00:01:03,727 (eerie futuristic music) 10 00:01:11,658 --> 00:01:14,250 They've been watching us from space, 11 00:01:14,250 --> 00:01:17,480 for the last two decades in high-resolution detail, 12 00:01:17,480 --> 00:01:19,173 watching our every move. 13 00:01:20,490 --> 00:01:24,160 Clouds and aerosols, winds and hurricanes, 14 00:01:24,160 --> 00:01:26,950 forests and cities, droughts and floods, 15 00:01:26,950 --> 00:01:29,110 the ocean currents and plankton, 16 00:01:29,110 --> 00:01:31,493 life in the ocean and on land. 17 00:01:35,050 --> 00:01:35,943 Land cover. 18 00:01:37,660 --> 00:01:38,743 Aerosols. 19 00:01:39,900 --> 00:01:41,433 Chlorophyll concentrations. 20 00:01:42,760 --> 00:01:43,650 Wave heights. 21 00:01:43,650 --> 00:01:45,253 Ozone concentrations. 22 00:01:48,740 --> 00:01:50,033 Atmospheric moisture. 23 00:01:50,990 --> 00:01:52,260 The human footprint. 24 00:01:52,260 --> 00:01:53,413 Sea-level change. 25 00:01:54,360 --> 00:01:56,903 And temperatures and moisture in the soil. 26 00:01:59,890 --> 00:02:02,610 Now scientists have a high-definition dataset 27 00:02:02,610 --> 00:02:05,833 spanning two decades to study and to learn from. 28 00:02:11,280 --> 00:02:12,860 - NASA has a fleet of satellites 29 00:02:12,860 --> 00:02:14,510 that are always measuring Earth. 30 00:02:14,510 --> 00:02:16,510 They're looking at land, oceans, 31 00:02:16,510 --> 00:02:19,350 atmospheres, ice, altogether. 32 00:02:19,350 --> 00:02:23,250 The particular visualization represents the measurement 33 00:02:23,250 --> 00:02:26,190 of all life on Earth over 20 years. 34 00:02:26,190 --> 00:02:29,240 I personally find it mesmerizing. 35 00:02:29,240 --> 00:02:31,020 You're watching the Earth breathe here. 36 00:02:31,020 --> 00:02:32,330 The seasons are changing. 37 00:02:32,330 --> 00:02:33,930 Ice is coming in, and retreating. 38 00:02:33,930 --> 00:02:36,270 You can see the forests on land in green 39 00:02:36,270 --> 00:02:38,350 expanding and contracting. 40 00:02:38,350 --> 00:02:40,420 Can see the deserts moving to the ocean. 41 00:02:40,420 --> 00:02:43,720 You can see biological deserts in the centers of the ocean, 42 00:02:43,720 --> 00:02:45,740 represented by blues and purples. 43 00:02:45,740 --> 00:02:48,380 And then, as you look further north in the Atlantic, 44 00:02:48,380 --> 00:02:51,310 or towards Antarctica, you can see these greens and yellows. 45 00:02:51,310 --> 00:02:52,740 Explosion of life in the ocean 46 00:02:52,740 --> 00:02:55,570 just like on land in the spring and summer. 47 00:02:55,570 --> 00:02:56,403 Incredible. 48 00:02:58,420 --> 00:03:00,000 - What we see for the first time 49 00:03:00,000 --> 00:03:03,740 is how the oceans and the land behave at the same time, 50 00:03:03,740 --> 00:03:05,630 through time, for 20 years. 51 00:03:05,630 --> 00:03:07,990 We've never had data like these before. 52 00:03:07,990 --> 00:03:11,180 Half of our photosynthesis occurs in the oceans 53 00:03:11,180 --> 00:03:12,980 and the other half on land. 54 00:03:12,980 --> 00:03:17,100 Having these data to show both at the same time, 55 00:03:17,100 --> 00:03:19,460 day after day, month after month, 56 00:03:19,460 --> 00:03:21,230 year after year for 20 years, 57 00:03:21,230 --> 00:03:24,693 is a great tool to study life on Earth. 58 00:03:29,470 --> 00:03:32,340 NASA has observed many aspects 59 00:03:32,340 --> 00:03:35,560 of the coupled land-ocean-atmosphere system 60 00:03:35,560 --> 00:03:37,440 and how they interact. 61 00:03:37,440 --> 00:03:41,110 For example, we see that with warmer surface temperatures, 62 00:03:41,110 --> 00:03:43,230 the growing season is getting longer 63 00:03:43,230 --> 00:03:47,350 at higher northern latitudes, and spring is coming earlier. 64 00:03:47,350 --> 00:03:50,510 With satellite data we're able to map this 65 00:03:50,510 --> 00:03:53,150 continuously across the Earth's surface 66 00:03:53,150 --> 00:03:56,070 and across the United States and across Alaska. 67 00:03:56,070 --> 00:03:57,920 Before that time, you had to rely 68 00:03:57,920 --> 00:03:59,550 where you had weather stations, 69 00:03:59,550 --> 00:04:01,900 and so you had points here, points there, 70 00:04:01,900 --> 00:04:06,093 but you never had continuous data like these. 71 00:04:09,660 --> 00:04:14,270 Using these data, we can look over very large areas, 72 00:04:14,270 --> 00:04:16,760 and see regional effects. 73 00:04:16,760 --> 00:04:18,530 Sometimes these effects are positive, 74 00:04:18,530 --> 00:04:20,800 and nothing bad has happened. 75 00:04:20,800 --> 00:04:23,350 It's only with these data we're able to do this 76 00:04:23,350 --> 00:04:25,740 over all these areas at the same time, 77 00:04:25,740 --> 00:04:28,820 and this is made possible by the use of Earth-viewing 78 00:04:28,820 --> 00:04:32,690 satellites, which orbit the Earth day after day, 79 00:04:32,690 --> 00:04:34,880 month after month, year after year. 80 00:04:34,880 --> 00:04:39,360 These data are the basis for saying these things about Earth 81 00:04:39,360 --> 00:04:41,900 with confidence because we measure them. 82 00:04:41,900 --> 00:04:44,810 - [Jeremy] The view from space is opened our eyes 83 00:04:44,810 --> 00:04:46,260 to so many different things. 84 00:04:46,260 --> 00:04:50,700 You can see transitions from La Nina to El Nino, 85 00:04:50,700 --> 00:04:54,320 represented by huge blooms of life across the Pacific Ocean 86 00:04:54,320 --> 00:04:58,040 at the Equator, bigger and wider than the United States. 87 00:04:58,040 --> 00:05:01,240 You can see greening of the Arctic. 88 00:05:01,240 --> 00:05:04,650 You can see earlier summers, later winters, 89 00:05:04,650 --> 00:05:08,343 and you can see the emergence of harmful nuisance algae. 90 00:05:09,277 --> 00:05:11,777 (aural music) 91 00:05:14,000 --> 00:05:16,130 - [Narrator] Charting the carbon-dioxide cycle through 92 00:05:16,130 --> 00:05:19,140 the atmosphere, land, and ocean is essential 93 00:05:19,140 --> 00:05:21,300 to understanding the environmental changes 94 00:05:21,300 --> 00:05:22,773 that man is driving. 95 00:05:23,810 --> 00:05:26,863 Higher carbon dioxide, or CO2, in the Earth's atmosphere 96 00:05:26,863 --> 00:05:28,880 appears as red and yellow, 97 00:05:28,880 --> 00:05:31,763 while lower-than-average CO2 is shown as blue. 98 00:05:33,040 --> 00:05:34,710 The pulsing of the data is due to 99 00:05:34,710 --> 00:05:38,270 the day-night cycle of plant photosynthesis. 100 00:05:38,270 --> 00:05:40,940 As CO2 is lifted away from the surface, 101 00:05:40,940 --> 00:05:42,820 it is rapidly spread around the world 102 00:05:42,820 --> 00:05:44,513 by high-altitude winds. 103 00:05:45,380 --> 00:05:47,990 CO2 builds up in the Northern-Hemisphere winter, 104 00:05:47,990 --> 00:05:49,900 when plants are dormant. 105 00:05:49,900 --> 00:05:53,020 By summer, photosynthesis draws massive amounts 106 00:05:53,020 --> 00:05:55,550 of CO2 out of the atmosphere, 107 00:05:55,550 --> 00:05:58,743 resulting in lower CO2 throughout the Northern Hemisphere. 108 00:06:02,520 --> 00:06:05,820 The growth and decay of vegetation in the northern lands 109 00:06:05,820 --> 00:06:08,473 causes the seasonal change in atmospheric CO2. 110 00:06:09,750 --> 00:06:12,960 Longterm, however, it is human activity 111 00:06:12,960 --> 00:06:16,053 that is increasing overall CO2 levels. 112 00:06:21,720 --> 00:06:24,460 - 2017 was the second-warmest year ever recorded, 113 00:06:24,460 --> 00:06:26,630 and the warmest non-El-Nino year. 114 00:06:26,630 --> 00:06:28,700 That makes five of the warmest years 115 00:06:28,700 --> 00:06:31,390 ever recorded just since 2010. 116 00:06:31,390 --> 00:06:33,570 NASA scientists have taken weather-station data 117 00:06:33,570 --> 00:06:37,029 from over 6,000 stations, and we've connected the dots 118 00:06:37,029 --> 00:06:39,640 to understand how our Earth is changing. 119 00:06:39,640 --> 00:06:40,473 In this. 120 00:06:41,780 --> 00:06:43,910 Growing as we look at how much 121 00:06:43,910 --> 00:06:47,830 high latitudes in places like Alaska have warmed since 1950. 122 00:06:47,830 --> 00:06:50,130 So, across the globe we're seeing a consistent trend 123 00:06:50,130 --> 00:06:52,660 towards warming but with twice as much warming 124 00:06:52,660 --> 00:06:54,560 across the high latitudes like Alaska. 125 00:06:55,819 --> 00:06:58,319 (aural music) 126 00:07:02,320 --> 00:07:03,290 - [Narrator] This rapid increase 127 00:07:03,290 --> 00:07:06,190 in overall global temperatures is clearly defined 128 00:07:06,190 --> 00:07:09,023 when satellite data is added to the model. 129 00:07:15,690 --> 00:07:19,210 - The ability to expand your senses into space, 130 00:07:19,210 --> 00:07:24,010 compress time, watch visualizations like these, 131 00:07:24,010 --> 00:07:27,650 see how the ecosystems of land, ocean, atmosphere, 132 00:07:27,650 --> 00:07:30,980 ice, all interact, and then be able to rewind it, 133 00:07:30,980 --> 00:07:32,430 and watch it again and again, 134 00:07:33,800 --> 00:07:36,546 it's, yeah, it's amazing. 135 00:07:36,546 --> 00:07:39,879 (dramatic fusion music) 136 00:07:44,708 --> 00:07:47,791 (somber aural music) 137 00:07:52,911 --> 00:07:55,170 - [Narrator] Ask any astronaut. 138 00:07:55,170 --> 00:07:58,170 When they look down at Earth, they see a single environment. 139 00:07:59,720 --> 00:08:02,070 No borders, no plains, 140 00:08:02,070 --> 00:08:04,913 just a single planet which we all have to rely on. 141 00:08:09,280 --> 00:08:11,160 With this data, scientists can check up 142 00:08:11,160 --> 00:08:12,510 on the health of the plant. 143 00:08:14,500 --> 00:08:17,623 One primary concern is the Ozone Layer. 144 00:08:22,990 --> 00:08:25,620 - We know the Montreal Protocol was a huge success. 145 00:08:25,620 --> 00:08:28,200 This was signed in late 1980s, 146 00:08:28,200 --> 00:08:31,290 when scientists and policymakers from around the world 147 00:08:31,290 --> 00:08:33,763 gathered together to try to save the Ozone Layer. 148 00:08:35,270 --> 00:08:37,030 - The chemicals they regulated persist 149 00:08:37,030 --> 00:08:39,150 in the atmosphere for many decades. 150 00:08:39,150 --> 00:08:40,460 They thin the Ozone Layer, 151 00:08:40,460 --> 00:08:43,000 and they create a seasonal hole over Antarctica. 152 00:08:43,000 --> 00:08:45,270 They basically take away part of our planet's 153 00:08:45,270 --> 00:08:48,100 natural sunscreen, and that increases the risk 154 00:08:48,100 --> 00:08:50,333 of skin cancer and damage to plants. 155 00:08:51,560 --> 00:08:53,670 - [Narrator] Scientists have projected the ozone hole 156 00:08:53,670 --> 00:08:57,130 will disappear almost completely by 2075. 157 00:08:57,130 --> 00:08:59,743 But several factors could delay that outcome. 158 00:09:00,730 --> 00:09:02,490 - There're some industrial compounds 159 00:09:02,490 --> 00:09:04,760 that did not banned by the Montreal Protocol, 160 00:09:04,760 --> 00:09:06,610 but as they enter the atmosphere, 161 00:09:06,610 --> 00:09:09,080 they will also hurt the Ozone Layer. 162 00:09:09,080 --> 00:09:12,420 - But the unregulated compounds have a short lifespan 163 00:09:12,420 --> 00:09:15,060 in the atmosphere, unlike the chlorofluorocarbons 164 00:09:15,060 --> 00:09:16,630 that were originally regulated. 165 00:09:16,630 --> 00:09:19,120 So they have a short-lived impact on ozone, 166 00:09:19,120 --> 00:09:20,850 and we don't think they'll delay recovery 167 00:09:20,850 --> 00:09:22,443 by more than a few years. 168 00:09:24,290 --> 00:09:27,320 - We've projected, by 2050 more than half 169 00:09:27,320 --> 00:09:29,990 of the ozone-depleting compounds in the atmosphere 170 00:09:29,990 --> 00:09:33,223 will come from long-lived substances banned by the protocol. 171 00:09:34,980 --> 00:09:36,660 - [Narrator] Because these compounds stay in the air 172 00:09:36,660 --> 00:09:37,750 for such a long time, 173 00:09:37,750 --> 00:09:40,980 compared to the unregulated short-lived compounds, 174 00:09:40,980 --> 00:09:42,470 they will have a disproportionate 175 00:09:42,470 --> 00:09:44,323 and lingering impact on ozone. 176 00:09:45,350 --> 00:09:47,410 Any noncompliance with protocol 177 00:09:47,410 --> 00:09:49,503 can have significant consequences. 178 00:09:50,895 --> 00:09:54,500 - The really big uncertainty in Ozone-Layer recovery 179 00:09:54,500 --> 00:09:55,590 is climate change. 180 00:09:55,590 --> 00:09:58,840 There're many naturally-produced ozone-depleting substances 181 00:09:58,840 --> 00:10:00,930 that're emitted by the oceans, 182 00:10:00,930 --> 00:10:03,830 and as the oceans continue to warm due to climate change 183 00:10:03,830 --> 00:10:05,510 those emissions will increase, 184 00:10:05,510 --> 00:10:08,540 and that will further delay ozone recovery. 185 00:10:08,540 --> 00:10:10,637 - [Narrator] Scientists want to understand better 186 00:10:10,637 --> 00:10:14,590 how climate change will affect ozone recovery. 187 00:10:14,590 --> 00:10:16,230 - This is a hard problem. 188 00:10:16,230 --> 00:10:17,590 As a scientific community, 189 00:10:17,590 --> 00:10:20,300 we need to work on this major issue. 190 00:10:20,300 --> 00:10:23,800 We now have a powerful new tool to simulate atmosphere 191 00:10:23,800 --> 00:10:28,050 and its interaction with land and ocean to study this issue, 192 00:10:28,050 --> 00:10:29,750 and that's what we're going to do. 193 00:10:35,868 --> 00:10:37,870 - [Narrator] At the top of the world, however, 194 00:10:37,870 --> 00:10:40,984 the arctic ice continues to shrink. 195 00:10:40,984 --> 00:10:44,317 (concerned aural music) 196 00:10:49,420 --> 00:10:51,190 - Sea ice is the ice that grows 197 00:10:51,190 --> 00:10:53,140 and melts within the Arctic Ocean. 198 00:10:53,140 --> 00:10:55,480 It grows in the wintertime when it gets cold, 199 00:10:55,480 --> 00:10:57,993 and melts during through the summertime. 200 00:10:59,230 --> 00:11:01,670 It doesn't raise sea level but it's very important 201 00:11:01,670 --> 00:11:05,210 for the global climate system because the ice is very bright 202 00:11:05,210 --> 00:11:08,170 and reflective, reflects a lotta the Sun's energy 203 00:11:08,170 --> 00:11:10,070 that comes in during the summertime 204 00:11:10,070 --> 00:11:12,250 and helps keep the Arctic cooler. 205 00:11:12,250 --> 00:11:16,270 It's like a refrigerator for the global climate system, 206 00:11:16,270 --> 00:11:18,830 by keeping the globe cooler 207 00:11:18,830 --> 00:11:20,880 than it normally would be without sea ice. 208 00:11:20,880 --> 00:11:22,520 As we lose the ice, 209 00:11:22,520 --> 00:11:24,980 it's like we're opening the refrigerator door, 210 00:11:24,980 --> 00:11:28,073 and not cooling things as efficiently as we used to. 211 00:11:29,500 --> 00:11:31,730 - [Narrator] Constant observation since the '70s 212 00:11:31,730 --> 00:11:33,453 lets us see a trend. 213 00:11:34,520 --> 00:11:37,840 - The Arctic sea ice has been changing quite rapidly. 214 00:11:37,840 --> 00:11:41,430 We've seen a decline over 35-plus years of our record. 215 00:11:41,430 --> 00:11:44,560 The last 15 years, particularly, it's been accelerating. 216 00:11:44,560 --> 00:11:47,160 So, really, it's become a matter of when, 217 00:11:47,160 --> 00:11:49,120 not if we lose the Arctic sea ice, 218 00:11:49,120 --> 00:11:51,040 because we have a lotta warmth in the Arctic, 219 00:11:51,040 --> 00:11:52,800 it's gonna continue to warm, 220 00:11:52,800 --> 00:11:54,800 we're gonna continue to melt sea ice. 221 00:11:54,800 --> 00:11:57,490 There's uncertainty as to exactly when that will happen, 222 00:11:57,490 --> 00:11:59,450 but sometime in the not-too-distant future, 223 00:11:59,450 --> 00:12:02,720 faster than we used to think, the Arctic Ocean 224 00:12:02,720 --> 00:12:05,573 will be substantially ice-free by the end of summer. 225 00:12:07,090 --> 00:12:08,760 Arctic sea ice is not the only place 226 00:12:08,760 --> 00:12:09,800 we're seeing big changes. 227 00:12:09,800 --> 00:12:12,410 We're also seeing big changes in Greenland, 228 00:12:12,410 --> 00:12:16,520 which is the big massive ice on top of the continent, 229 00:12:16,520 --> 00:12:18,570 and we're seeing more and more melt, 230 00:12:18,570 --> 00:12:22,450 we're seeing ice calving off as icebergs. 231 00:12:22,450 --> 00:12:25,720 We're seeing big masses of ice loss 232 00:12:25,720 --> 00:12:28,200 over the last several years. 233 00:12:28,200 --> 00:12:31,510 That means that that ice is going into the ocean, 234 00:12:31,510 --> 00:12:32,970 that's raising sea level. 235 00:12:32,970 --> 00:12:35,300 That's gonna have big impacts down the road 236 00:12:35,300 --> 00:12:38,792 as we continue to lose more and more ice from Greenland. 237 00:12:38,792 --> 00:12:42,360 (concerned aural music) 238 00:12:42,360 --> 00:12:44,080 - [Narrator] Ancient air bubbles trapped in ice 239 00:12:44,080 --> 00:12:47,070 enable us to step back in time, and see what Earth's 240 00:12:47,070 --> 00:12:51,050 atmosphere and climate were like in the distant past. 241 00:12:51,050 --> 00:12:53,840 Today we stand on the threshold of a new geologic era 242 00:12:53,840 --> 00:12:56,770 which some term the Anthropocene, where the climate 243 00:12:56,770 --> 00:13:00,090 is very different to the one our ancestors knew. 244 00:13:00,090 --> 00:13:02,150 - We can see that a warmer world means 245 00:13:02,150 --> 00:13:04,470 that there's an impact for warming temperatures 246 00:13:04,470 --> 00:13:06,310 in the Arctic, melting sea ice. 247 00:13:06,310 --> 00:13:09,690 That sea ice leads to larger sea-level rise. 248 00:13:09,690 --> 00:13:12,660 NASA scientists are on the ground, in airplanes, 249 00:13:12,660 --> 00:13:15,440 and using our satellite data to understand how what starts 250 00:13:15,440 --> 00:13:17,890 in the Arctic doesn't exactly stay in the Arctic. 251 00:13:19,299 --> 00:13:22,632 (dramatic fusion music) 252 00:13:27,790 --> 00:13:29,950 - [Narrator] The hope is that all this data collection 253 00:13:29,950 --> 00:13:32,850 will mean that real-world problems can be reassessed 254 00:13:32,850 --> 00:13:35,380 and new angles explored. 255 00:13:35,380 --> 00:13:38,693 A case in point: dolphin and whale stranding. 256 00:13:39,590 --> 00:13:41,470 Could this accumulated satellite data 257 00:13:41,470 --> 00:13:42,913 help address the problem? 258 00:13:44,050 --> 00:13:46,280 Cape Cod in the US State of Massachusetts 259 00:13:46,280 --> 00:13:48,440 is home to one of the most frequent marine-mammal 260 00:13:48,440 --> 00:13:50,597 stranding sites in the world. 261 00:13:50,597 --> 00:13:53,160 - If we can get there quickly, and provide supportive care, 262 00:13:53,160 --> 00:13:55,910 they have a much better prognoses in terms of survival. 263 00:13:57,130 --> 00:13:59,220 - [Narrator] Scientists know very little about why 264 00:13:59,220 --> 00:14:01,830 these mammals strand, and only a quick 265 00:14:01,830 --> 00:14:05,383 and efficient response in these events will save lives. 266 00:14:07,090 --> 00:14:09,160 Katie Muir works on the frontline, 267 00:14:09,160 --> 00:14:11,253 and has fine-tuned rescue efforts. 268 00:14:12,190 --> 00:14:16,250 - If we can develop an algorithm that pieces together 269 00:14:16,250 --> 00:14:20,440 the different variables that may be causing mass strandings 270 00:14:20,440 --> 00:14:21,900 or driving mass strandings, 271 00:14:21,900 --> 00:14:24,550 then we have the ability to then prevent them. 272 00:14:24,550 --> 00:14:26,450 We can have teams that are out on the shore 273 00:14:26,450 --> 00:14:28,290 looking for animals in those hotspots, 274 00:14:28,290 --> 00:14:30,880 knowing that all those variables have come together 275 00:14:30,880 --> 00:14:32,280 and this is a likely point in time 276 00:14:32,280 --> 00:14:33,430 where we're likely to see it. 277 00:14:33,430 --> 00:14:35,960 But we can also have teams ready to respond 278 00:14:35,960 --> 00:14:38,570 so that if they do strand, we're there that much faster, 279 00:14:38,570 --> 00:14:41,370 and more animals will survive the event. 280 00:14:41,370 --> 00:14:42,610 - [Narrator] Marine biologists from 281 00:14:42,610 --> 00:14:44,730 the US Bureau of Ocean Energy Management 282 00:14:44,730 --> 00:14:47,330 were also looking at this problem. 283 00:14:47,330 --> 00:14:50,270 - For the large proportion of these strandings, 284 00:14:50,270 --> 00:14:55,270 the animals are across the ages, in pretty good health, 285 00:14:55,430 --> 00:14:58,390 and there's no really immediate evidence 286 00:14:58,390 --> 00:15:00,620 as to why they actually strand. 287 00:15:00,620 --> 00:15:03,470 - [Narrator] One possibility is geomagnetic perception: 288 00:15:03,470 --> 00:15:06,860 the ability to navigate using Earth's magnetic field, 289 00:15:06,860 --> 00:15:09,400 which is believed to be used by marine mammals. 290 00:15:09,400 --> 00:15:12,730 Could changes in the magnetic field confuse the animal? 291 00:15:12,730 --> 00:15:16,910 Geomagnetic pulses or storms can be caused by space weather. 292 00:15:16,910 --> 00:15:21,070 - Geomagnetic perception is one of the theories. 293 00:15:21,070 --> 00:15:24,197 I thought: "Well, hmm, if a magnetometer can pick it up, 294 00:15:24,197 --> 00:15:26,880 "maybe the animals actually can pick it up." 295 00:15:26,880 --> 00:15:28,760 - [Narrator] Dr. Reeb consulted with NASA 296 00:15:28,760 --> 00:15:31,090 at the Goddard Space Flight Center. 297 00:15:31,090 --> 00:15:32,930 - [Scientist] The coolest thing was that we realized 298 00:15:32,930 --> 00:15:36,450 that nobody had really taken a cold hard data 299 00:15:36,450 --> 00:15:38,435 science analysis look at the problems. 300 00:15:38,435 --> 00:15:40,200 - What we're trying to look at here 301 00:15:40,200 --> 00:15:43,440 was if there was a potential driver or relationship 302 00:15:43,440 --> 00:15:46,490 or correlation between the occurrence of mass strandings 303 00:15:46,490 --> 00:15:48,810 and any solar activity. 304 00:15:48,810 --> 00:15:51,990 - The data that we have correlated, or analyzed so far 305 00:15:51,990 --> 00:15:56,010 is information about the local geomagnetic conditions. 306 00:15:56,010 --> 00:15:59,770 We have long data records from geophysical observatories 307 00:15:59,770 --> 00:16:02,640 of the local geomagnetic-field variations 308 00:16:02,640 --> 00:16:04,723 and marine-mammal stranding. 309 00:16:05,620 --> 00:16:07,810 - [Narrator] Their analysis was inconclusive. 310 00:16:07,810 --> 00:16:11,870 They needed more data from other environmental conditions. 311 00:16:11,870 --> 00:16:15,060 - Easy-fix correlation between a geomagnetic pulse 312 00:16:15,060 --> 00:16:19,450 and, ooh, a stranding, doesn't seem to be very evident, 313 00:16:19,450 --> 00:16:22,700 but what it does show is that there are multiple variables 314 00:16:22,700 --> 00:16:26,360 involved in this equation and that the geomagnetic storms 315 00:16:26,360 --> 00:16:30,440 could just be one very small part of it, significant still. 316 00:16:30,440 --> 00:16:34,160 But, it looks like there are multiple oceanographic 317 00:16:34,160 --> 00:16:35,983 and environmental elements. 318 00:16:36,950 --> 00:16:38,430 - [Narrator] With more data in hand, 319 00:16:38,430 --> 00:16:40,890 it was time to expand the team. 320 00:16:40,890 --> 00:16:43,800 They recruited statisticians and the expertise 321 00:16:43,800 --> 00:16:45,860 of NASA Earth-science data analyst 322 00:16:45,860 --> 00:16:48,143 and oceanographer Erdem Karakoylu. 323 00:16:50,340 --> 00:16:53,770 - A dataset, no matter its shape or content, 324 00:16:53,770 --> 00:16:55,610 always has a story to tell. 325 00:16:55,610 --> 00:16:59,300 Trying to figure out how different data are connected, 326 00:16:59,300 --> 00:17:03,570 I think, require a wide diversity of skills 327 00:17:03,570 --> 00:17:05,350 and background knowledge. 328 00:17:05,350 --> 00:17:06,980 - For example, I'll be explaining 329 00:17:06,980 --> 00:17:09,600 how a mass stranding occurs and how we respond to try 330 00:17:09,600 --> 00:17:12,380 and understand why I'm presenting the data in a certain way, 331 00:17:12,380 --> 00:17:14,640 and my colleagues from NASA will look at me, 332 00:17:14,640 --> 00:17:16,390 and ask questions that wouldn't think to ask 333 00:17:16,390 --> 00:17:18,650 because I take for granted my understanding, 334 00:17:18,650 --> 00:17:20,430 and they're coming at it from a totally new angle 335 00:17:20,430 --> 00:17:21,830 with no background. 336 00:17:21,830 --> 00:17:23,720 - [Narrator] These datasets may reveal a pattern, 337 00:17:23,720 --> 00:17:26,680 allowing scientists to predict the likelihood 338 00:17:26,680 --> 00:17:30,313 and location of mass stranding before it happens. 339 00:17:31,260 --> 00:17:34,720 - We've really sort of slowly peeled the first layer 340 00:17:34,720 --> 00:17:37,640 of this onion back, and I think that there's so many 341 00:17:37,640 --> 00:17:41,490 more layers that still need to be addressed and looked it. 342 00:17:41,490 --> 00:17:44,760 I hope that we can actually find additional collaborators, 343 00:17:44,760 --> 00:17:48,650 additional funding partners to really bring all the data 344 00:17:48,650 --> 00:17:51,240 that's really available to really give this 345 00:17:51,240 --> 00:17:53,963 the study and the scrutiny that it deserves. 346 00:17:54,970 --> 00:17:57,620 - We are also going other make all these datasets 347 00:17:57,620 --> 00:18:00,400 available to the entire scientific community 348 00:18:00,400 --> 00:18:03,530 so that we can utilize the entire scientific community, 349 00:18:03,530 --> 00:18:06,903 attack, and a new approach to this problem. 350 00:18:08,910 --> 00:18:12,040 - I think that there will be other things 351 00:18:12,040 --> 00:18:16,230 to take and run with, get new ideas, maybe add more data. 352 00:18:16,230 --> 00:18:18,590 I'm hoping also there will be a model 353 00:18:18,590 --> 00:18:23,590 for how projects can then be opened to the wider public. 354 00:18:26,334 --> 00:18:29,167 (emotional music) 355 00:18:33,570 --> 00:18:35,240 - The ability to release animals 356 00:18:35,240 --> 00:18:37,750 after they've stranded is tremendous. 357 00:18:37,750 --> 00:18:40,300 When we do that, that's the best feeling in the world 358 00:18:40,300 --> 00:18:42,560 after all of that hard work. 359 00:18:42,560 --> 00:18:46,600 - Those questions that seem unanswerable, 360 00:18:46,600 --> 00:18:49,380 if you give them time and support and effort 361 00:18:49,380 --> 00:18:52,333 and put people on them, we can do amazing things. 362 00:18:53,463 --> 00:18:56,796 (emotional piano music) 363 00:19:04,408 --> 00:19:07,741 (dramatic fusion music) 364 00:19:14,340 --> 00:19:15,960 - [Narrator] Data from satellites reveals 365 00:19:15,960 --> 00:19:19,710 the interconnection between air, sea, and land. 366 00:19:19,710 --> 00:19:22,350 This is a visualization of three aerosols: 367 00:19:22,350 --> 00:19:24,713 dust, smoke, and sea salt. 368 00:19:26,230 --> 00:19:29,400 The CALIPSO-Satellite data reveals in 3D 369 00:19:29,400 --> 00:19:31,890 how dust from the arid Sahara Desert 370 00:19:31,890 --> 00:19:34,760 is lifted by the winds each year, and transported 371 00:19:34,760 --> 00:19:39,094 nearly 5,000 kilometers across the Atlantic Ocean. 372 00:19:39,094 --> 00:19:41,761 (pensive music) 373 00:19:43,130 --> 00:19:45,310 Some of it settles in the Amazon Basin, 374 00:19:45,310 --> 00:19:47,920 the largest rainforest on the planet. 375 00:19:47,920 --> 00:19:50,280 Sahara dust contains phosphorus, 376 00:19:50,280 --> 00:19:52,690 an important nutrient for plants. 377 00:19:52,690 --> 00:19:54,680 CALIPSO shows that, on average, 378 00:19:54,680 --> 00:19:58,993 182 million tons of dust leaves Africa each year. 379 00:20:00,400 --> 00:20:03,120 When the Sahel was dry, the dust transport 380 00:20:03,120 --> 00:20:05,940 to the Amazon in the next year would increase; 381 00:20:05,940 --> 00:20:09,273 when it was wet, dust transport would decrease. 382 00:20:10,620 --> 00:20:14,050 We can now track global precipitation, wind currents, 383 00:20:14,050 --> 00:20:16,123 cloud cover, and ocean temperature. 384 00:20:17,220 --> 00:20:19,770 Satellites have detected a shift in phytoplankton 385 00:20:19,770 --> 00:20:23,690 populations across the planet's five great ocean basins, 386 00:20:23,690 --> 00:20:26,650 showing the expansion of biological desert 387 00:20:26,650 --> 00:20:28,103 where little life thrives. 388 00:20:29,540 --> 00:20:31,790 Diatoms are one of the most abundant types 389 00:20:31,790 --> 00:20:36,260 of marine phytoplankton, but a new 15-year-long NASA study 390 00:20:36,260 --> 00:20:38,943 reveals global populations have declined. 391 00:20:39,960 --> 00:20:43,010 Diatoms, like all phytoplankton, have chlorophyll, 392 00:20:43,010 --> 00:20:46,470 the same photosynthesizing pigment as plants. 393 00:20:46,470 --> 00:20:48,240 They occupy the surface of the ocean, 394 00:20:48,240 --> 00:20:51,200 where they harvest light from the Sun. 395 00:20:51,200 --> 00:20:55,130 In large numbers, diatoms form colorful swirling blooms 396 00:20:55,130 --> 00:20:56,863 that can be seen from space. 397 00:20:57,900 --> 00:20:59,310 According to the study, 398 00:20:59,310 --> 00:21:02,930 significant decreases in populations, shown here in red, 399 00:21:02,930 --> 00:21:04,853 are mainly in the Northern Hemisphere. 400 00:21:05,920 --> 00:21:09,700 - Diatoms rely on nutrients such as nitrate, silicate, 401 00:21:09,700 --> 00:21:13,000 and iron to reach the surface layer where they live. 402 00:21:13,000 --> 00:21:15,960 What the study shows is that the availability 403 00:21:15,960 --> 00:21:18,120 of these nutrients has changed 404 00:21:18,120 --> 00:21:21,217 due to the Wave Cycle within the water column. 405 00:21:21,217 --> 00:21:23,670 - [Narrator] Diatoms occupy the surface area of the ocean 406 00:21:23,670 --> 00:21:25,880 called the Mixed Layer. 407 00:21:25,880 --> 00:21:27,750 Nutrients collect on the ocean floor, 408 00:21:27,750 --> 00:21:30,370 and are cycled up to this layer. 409 00:21:30,370 --> 00:21:32,630 Various physical forces can cause the depth 410 00:21:32,630 --> 00:21:34,800 of the mixed layer to become shallower 411 00:21:34,800 --> 00:21:37,660 so that fewer nutrients reach the diatoms. 412 00:21:37,660 --> 00:21:40,343 Without these, their populations decline. 413 00:21:41,410 --> 00:21:43,100 This map shows areas on the globe 414 00:21:43,100 --> 00:21:45,517 where the depth of the Mixed Layer shallowed. 415 00:21:46,450 --> 00:21:48,480 - It's hard to pinpoint exactly 416 00:21:48,480 --> 00:21:50,320 why these change have happen. 417 00:21:50,320 --> 00:21:54,080 Things like wind, circulation, and temperature can affect 418 00:21:54,080 --> 00:21:57,470 the way these nutrients are brought to the surface layer. 419 00:21:57,470 --> 00:22:00,410 We hope a longer study can yield more information 420 00:22:00,410 --> 00:22:02,990 on whether these changes are, in fact, 421 00:22:02,990 --> 00:22:05,760 a trend or variability. 422 00:22:05,760 --> 00:22:10,010 (majestic orchestral fusion music) 423 00:22:53,470 --> 00:22:54,960 - [Narrator] Next-generation satellites 424 00:22:54,960 --> 00:22:58,550 are reaching orbit now to continue this important work. 425 00:22:58,550 --> 00:23:01,930 They will collect data, maintain observation continuity, 426 00:23:01,930 --> 00:23:03,400 and allow scientists to track 427 00:23:03,400 --> 00:23:04,950 the changes in our environment. 428 00:23:05,860 --> 00:23:08,370 They can then model dynamic simulations 429 00:23:08,370 --> 00:23:11,310 to better understand this unique planet 430 00:23:11,310 --> 00:23:15,005 and the myriad of lifeforms that rely on it. 431 00:23:15,005 --> 00:23:19,255 (majestic orchestral fusion music) 432 00:23:37,070 --> 00:23:40,403 (dramatic fusion music) 34993

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