1 00:00:00,030 --> 00:00:05,400 good evening everybody. So one of the things we do at NASA and Earth science 2 00:00:05,400 --> 00:00:11,639 using the unique vantage point of space is explore and that exploration leads to 3 00:00:11,639 --> 00:00:15,599 discoveries and those discoveries lead to research to understand and protect 4 00:00:15,599 --> 00:00:21,630 our home planet for societal benefit, okay, now we can explore the Earth 5 00:00:21,630 --> 00:00:28,710 spatially in this case the combined land and ocean biosphere together and that's 6 00:00:28,710 --> 00:00:33,000 basically looking at Earth's primary producers and what's really interesting 7 00:00:33,000 --> 00:00:38,010 is that in just a single global composite we can actually see all of 8 00:00:38,010 --> 00:00:43,829 this dimension in the ocean biosphere in the terrestrial biosphere, next slide 9 00:00:43,829 --> 00:00:50,700 actually using a series of images or information allows us to not only 10 00:00:50,700 --> 00:00:55,890 explore in the spatial dimension but in time and we can use this information to 11 00:00:55,890 --> 00:01:02,370 identify long-term trends now this is kind of unprecedented so what you're 12 00:01:02,370 --> 00:01:06,689 looking at is the combined global land and ocean biosphere and it's like 13 00:01:06,689 --> 00:01:11,159 watching the Earth breathe in Earth's primary producers now missions like 14 00:01:11,159 --> 00:01:16,229 Terra and sensors like MODIS are celebrating a 20-year anniversary or a 15 00:01:16,229 --> 00:01:21,000 20 year time series and what that does is opens the door into looking at 16 00:01:21,000 --> 00:01:27,150 decadal changes in our earth system so that's truly unique, now traditionally 17 00:01:27,150 --> 00:01:31,170 what we use is passive ocean color radiometry which is what you're seeing 18 00:01:31,170 --> 00:01:35,189 here to actually look at the ocean biosphere and this is only one piece of 19 00:01:35,189 --> 00:01:40,500 the puzzle what passive ocean color has done is absolutely revolutionize our 20 00:01:40,500 --> 00:01:45,930 understanding of the ocean ecology and Earth's carbon cycle in general, but if 21 00:01:45,930 --> 00:01:49,490 we really want to open new doors then we have to push the boundaries 22 00:01:49,490 --> 00:01:53,880 scientifically and in engineering and actually use some new scientific 23 00:01:53,880 --> 00:01:58,979 approaches and looking at things like our ocean biosphere and so one of the 24 00:01:58,979 --> 00:02:02,280 limitations I think of ocean color remote sensing is 25 00:02:02,280 --> 00:02:07,140 that our scientists actually think it's incredibly valuable and critical for 26 00:02:07,140 --> 00:02:10,550 studying climate variability and change however 27 00:02:10,550 --> 00:02:14,870 it has to be used during the daytime it can't be used at low solar elevation 28 00:02:14,870 --> 00:02:19,430 angles and it has to be used in a cloud free environment now what you can lump 29 00:02:19,430 --> 00:02:24,230 on top of that is actually it has some depth integrated challenges it can only 30 00:02:24,230 --> 00:02:28,940 see you the first optical depth in the ocean and in addition it's got some 31 00:02:28,940 --> 00:02:33,710 challenges when you have heavy aerosol loading however there are technologies 32 00:02:33,710 --> 00:02:37,070 that we can use when coupled with passive ocean color remote sensing 33 00:02:37,070 --> 00:02:41,140 absolutely revolutionize our view of the ocean, next slide, 34 00:02:41,140 --> 00:02:46,270 LIDAR is one of them okay that stands for Light Detection and Ranging and in 35 00:02:46,270 --> 00:02:51,470 2006 NASA and CNES together launched the mission known as Calypso as 36 00:02:51,470 --> 00:02:56,930 a Cloud-Aerosol LIDAR and the main sensor onboard it of it CALIOP has 37 00:02:56,930 --> 00:03:02,570 orthogonal polarization and so this has been Calypso has a, sorry it's supposed 38 00:03:02,570 --> 00:03:07,220 to be the Calypso animation, sorry you guys, just back up one so what you're 39 00:03:07,220 --> 00:03:13,910 actually, so Calypso has been reliably providing global views of our earth for 40 00:03:13,910 --> 00:03:19,910 over 13 years now what's absolutely revolutionary about it is that it can 41 00:03:19,910 --> 00:03:24,260 penetrate up to three optical depths in the ocean okay so where is passive ocean 42 00:03:24,260 --> 00:03:26,270 color can only go the first optical depth 43 00:03:26,270 --> 00:03:32,330 however LIDAR data such as that from CALIOP can only see a limited spatial 44 00:03:32,330 --> 00:03:36,890 resolution has about a 16 day revisit where as passive ocean color remote 45 00:03:36,890 --> 00:03:42,410 sensing can cover the earth in about two days taken together however they provide 46 00:03:42,410 --> 00:03:46,060 unprecedented scientific benefit for looking at things like dynamics in 47 00:03:46,060 --> 00:03:50,080 Earth's biosphere specifically in the ocean, so we're going to talk about that 48 00:03:50,090 --> 00:03:55,480 in just a minute I just want to also point out that studies of LIDAR have 49 00:03:55,490 --> 00:04:00,410 used have been used on both ships and on aircraft and what they do is they use 50 00:04:00,410 --> 00:04:04,400 unique properties like the backscatter coefficient the vertical attenuation 51 00:04:04,400 --> 00:04:09,350 coefficient to look at things like phytoplankton properties, zooplankton and 52 00:04:09,350 --> 00:04:13,820 even fish stocks and this is important, very important properties of the ocean 53 00:04:13,820 --> 00:04:18,169 when we're talking about commercial viability in economics, so the other 54 00:04:18,169 --> 00:04:21,330 thing about LIDAR is that is not limited by some of the things 55 00:04:21,330 --> 00:04:26,490 that limit ocean color remote sensing you can use it day or night it can deal 56 00:04:26,490 --> 00:04:31,920 with considerably heavy aerosol loads as well as thin clouds you don't have to 57 00:04:31,920 --> 00:04:34,860 worry about low solar elevation angles which I'm going to show you in a minute 58 00:04:34,860 --> 00:04:40,910 and as I said it can penetrate up to three optical depths, so this can be 59 00:04:40,910 --> 00:04:45,330 absolutely revolutionary and looking at our ocean now remember I'm going to show 60 00:04:45,330 --> 00:04:47,490 you CALIOP data in just a minute and 61 00:04:47,490 --> 00:04:51,690 remember that was not created to look at the ocean it is an aerosol based sensor 62 00:04:51,690 --> 00:04:57,150 okay but it can give us unprecedented views of our ocean system, next slide, so 63 00:04:57,150 --> 00:05:04,020 in 2013 what we did is we had the first global view of plankton in the ocean not 64 00:05:04,020 --> 00:05:09,210 phytoplankton not primary producers but actually secondary producers from a 65 00:05:09,210 --> 00:05:13,500 space-based LIDAR and we took this unprecedented information and we 66 00:05:13,500 --> 00:05:18,420 estimated phytoplankton carbon and particulate organic carbon at least to 67 00:05:18,420 --> 00:05:23,550 ocean carbon properties together were derived directly from the calliope base 68 00:05:23,550 --> 00:05:27,030 back scattering by particles now remember this was just a 69 00:05:27,030 --> 00:05:32,220 proof-of-concept study, right this system was not created to produce anything in 70 00:05:32,220 --> 00:05:38,340 the ocean and yet here we are and so what we, what we know from moving forward 71 00:05:38,340 --> 00:05:42,170 is that we can see into the ocean and tell something about Earth's biosphere 72 00:05:42,170 --> 00:05:51,510 now that's not where it stops, next slide, so I already mentioned that the sensor 73 00:05:51,510 --> 00:05:56,370 can function or we can get data in the ocean at low solar elevation angles and 74 00:05:56,370 --> 00:06:01,320 basically what that means is that about 81 degrees north and south we can 75 00:06:01,320 --> 00:06:04,830 actually collect data where is on the left hand side you see MODIS which is 76 00:06:04,830 --> 00:06:08,310 passive rate radiometry and what you're seeing is that we don't have a lot of 77 00:06:08,310 --> 00:06:10,920 coverage whereas CALIOP on the right hand side 78 00:06:10,920 --> 00:06:17,280 actually does so what this study was able to do this was part of the the 79 00:06:17,280 --> 00:06:22,140 NAMES project the North Atlantic Aerosol and Marine Ecosystem Study they actually 80 00:06:22,140 --> 00:06:27,150 looked at CALIOP data at high latitude and used a combination of the vertical 81 00:06:27,150 --> 00:06:31,350 attenuation coefficient and the back scattering by particles to detail what 82 00:06:31,350 --> 00:06:33,540 was going on ecologically in the 83 00:06:33,540 --> 00:06:37,560 shit what they were able to determine looking specifically at predator-prey 84 00:06:37,560 --> 00:06:42,360 interactions was that in the Northern Hemisphere basically at the northern 85 00:06:42,360 --> 00:06:47,460 polar, subpolar waters the ecosystem dynamics were driving what was happening 86 00:06:47,460 --> 00:06:50,940 in the phytoplankton and in the plankton in the ocean whereas in the Southern 87 00:06:50,940 --> 00:06:55,110 Hemisphere it was actually the ocean ice dynamics that were driving what was 88 00:06:55,110 --> 00:06:58,650 happening in the predator-prey interactions and this was unprecedented 89 00:06:58,650 --> 00:07:03,990 and impossible without using the LIDAR in the ocean, so let's take things just a 90 00:07:03,990 --> 00:07:09,600 little bit further, next slide, now the other thing that the NAMES team did 91 00:07:09,600 --> 00:07:14,010 going out specifically looking at a number of objectives, one of them was 92 00:07:14,010 --> 00:07:18,330 what's driving phytoplankton blooms in the ocean and you might be saying why 93 00:07:18,330 --> 00:07:22,710 should I care, well as primary producers they're consumed by secondary producers 94 00:07:22,710 --> 00:07:27,540 and fish and if you know anything about fisheries just taking that one economic 95 00:07:27,540 --> 00:07:32,760 aspect of the ocean it's more than a trillion dollar economy worldwide okay 96 00:07:32,760 --> 00:07:38,270 so they did a transect in ships and with an aircraft flying overhead with a LIDAR 97 00:07:38,270 --> 00:07:43,410 going from about 35 degrees north and straight northward although this is I 98 00:07:43,410 --> 00:07:47,460 think they had some Wiggles in there but what I want you to notice is that they 99 00:07:47,460 --> 00:07:52,140 were able to detail oligotrophic waters which means they're almost devoid of 100 00:07:52,140 --> 00:07:55,680 nutrients are very low nutrients which are makes it very difficult to support 101 00:07:55,680 --> 00:07:59,160 phytoplankton and plankton in general they went straight through a 102 00:07:59,160 --> 00:08:02,430 phytoplankton bloom which you're actually seeing in the vertical 103 00:08:02,430 --> 00:08:06,570 attenuation coefficient so this is the LIDAR showing this and then they went 104 00:08:06,570 --> 00:08:10,290 into Mesa trophic conditions where they have low productivity but some going on 105 00:08:10,290 --> 00:08:17,910 now let's zoom in on this a little bit, next slide, and take a look at the eddy 106 00:08:17,910 --> 00:08:22,110 that they went through so if you look at the top panel first you're looking at 107 00:08:22,110 --> 00:08:27,030 the back scattering by particles derived from the CALIOP sensor okay and what 108 00:08:27,030 --> 00:08:34,590 you're seeing as you travel across is the evidence of the eddy right here of 109 00:08:34,590 --> 00:08:38,099 the physics driving the biology now how do we know the physics are driving the 110 00:08:38,099 --> 00:08:41,849 biology most physical oceanographers will tell you everybody knows that but 111 00:08:41,849 --> 00:08:45,200 we're going to actually detail this with a LIDAR remember you're looking 112 00:08:45,200 --> 00:08:49,040 at the back scattering by particle data from a LIDAR not actually any ocean 113 00:08:49,040 --> 00:08:54,350 physics measurements if you look now on the bottom panel and what the team knew 114 00:08:54,350 --> 00:08:59,450 actually first on the top is that some dynamics were going on in that Eddy and 115 00:08:59,450 --> 00:09:02,960 they knew this because on the ship they had a flow-through system that told them 116 00:09:02,960 --> 00:09:06,800 they had a high concentration of phytoplankton in that area so what they 117 00:09:06,800 --> 00:09:10,100 did is they decide to look at the depolarization ratio relative to the 118 00:09:10,100 --> 00:09:13,550 back scattering by particles and what that does is it tells you something 119 00:09:13,550 --> 00:09:19,280 about cell size and what's actually in the in the water and this was confirmed 120 00:09:19,280 --> 00:09:22,670 with instruments on the ship but when they pass through the Eddy what you can 121 00:09:22,670 --> 00:09:27,140 see is a very strong signal here and this depolarization to backscattering 122 00:09:27,140 --> 00:09:31,310 ratio actually enabled them to detail, confirmed by the ship based measurements 123 00:09:31,310 --> 00:09:34,850 that they had different groups of phytoplankton there that becomes very 124 00:09:34,850 --> 00:09:38,690 important when you talk about biodiversity in the ocean and let this 125 00:09:38,690 --> 00:09:43,100 sink in a minute people because this is kind of mind-blowing we're using a LIDAR 126 00:09:43,100 --> 00:09:47,780 that was not created to look in the ocean to actually detail community 127 00:09:47,780 --> 00:09:52,300 structure which is not even something we can do for passive ocean color yet okay 128 00:09:52,300 --> 00:09:59,000 so let's go further, next slide, okay so this is sort of the 129 00:09:59,000 --> 00:10:04,700 like ultimate punch line what you're seeing here is the largest animal 130 00:10:04,700 --> 00:10:11,960 migration on the face of the planet and it happens every day, okay, so we are 131 00:10:11,960 --> 00:10:16,790 looking at what's called dial migration zooplankton are secondary producers 132 00:10:16,790 --> 00:10:21,080 people have heard of phytoplankton these are actually zooplankton and what they 133 00:10:21,080 --> 00:10:25,790 do is they might greet every single day approximately 200 meters to the surface 134 00:10:25,790 --> 00:10:30,200 to feed on phytoplankton, phytoplankton are primary producers they go up to the 135 00:10:30,200 --> 00:10:34,100 surface they need sunlight to actually go through photosynthesis they take up 136 00:10:34,100 --> 00:10:39,260 carbon dioxide zooplankton consume them and they excrete whatever they 137 00:10:39,260 --> 00:10:44,330 excrete and that carbon goes to the deep ocean a lot of it permanently so what 138 00:10:44,330 --> 00:10:50,300 you're seeing is a conveyor belt of carbon, now what this actually is is the 139 00:10:50,300 --> 00:10:55,820 global climate illogical signal of vertically migrating animals in a 140 00:10:55,820 --> 00:11:00,960 normalized differential ratio, now does that mean basically there are 141 00:11:00,960 --> 00:11:05,280 day/night differences in back scattering by particles and this tells us something 142 00:11:05,280 --> 00:11:11,100 about vertically migrating animals in the ocean, okay so you're seeing that 143 00:11:11,100 --> 00:11:15,420 conveyor belt of carbon and where the zooplankton tend to go is in clear 144 00:11:15,420 --> 00:11:18,780 waters, okay, that's because there are less visual 145 00:11:18,780 --> 00:11:22,770 predators there this is a little bit counter to intuitive because you could 146 00:11:22,770 --> 00:11:25,590 think they would be found in highly productive waters where there are a lot 147 00:11:25,590 --> 00:11:30,570 of phytoplankton that they can eat so ecologically what you're seeing actually 148 00:11:30,570 --> 00:11:35,340 makes sense, okay, and if you look between the two yellow lines that's basically 149 00:11:35,340 --> 00:11:39,360 the permanently stratified ocean, so where we're seeing the high signal for 150 00:11:39,360 --> 00:11:43,890 the phyto, for the zooplankton and and the lower signal actually corresponds 151 00:11:43,890 --> 00:11:49,380 significantly to what we would expect ecologically so last slide that's kind 152 00:11:49,380 --> 00:11:53,820 of mind-blowing people, that we can't do that with ships but we can do it with a 153 00:11:53,820 --> 00:11:58,200 LIDAR so the future of LIDAR where is it going 154 00:11:58,200 --> 00:12:03,480 we have never built a LIDAR for the ocean no one has and clearly what this 155 00:12:03,480 --> 00:12:08,550 tells us is this with the minor modification to future LIDAR that are 156 00:12:08,550 --> 00:12:13,230 being planned for the atmosphere or not we could actually detail the profiles of 157 00:12:13,230 --> 00:12:17,220 ocean particles in the ocean and what these figures have actually shown is 158 00:12:17,220 --> 00:12:21,930 that we've got the first ever view of vertically migrating zooplankton on a 159 00:12:21,930 --> 00:12:27,770 global scale which is unprecedented thank you