WEBVTT FILE 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