1 00:00:00,033 --> 00:00:03,870 Sometimes you can't simulate natural conditions in the lab, 2 00:00:03,870 --> 00:00:07,407 so what you do is you take your lab to see so you can measure 3 00:00:07,407 --> 00:00:10,643 natural communities and natural conditions that you can't get in 4 00:00:10,643 --> 00:00:11,678 the lab. 5 00:00:12,779 --> 00:00:17,150 This project that were doing on the Atlantis is not an isolated 6 00:00:17,150 --> 00:00:17,817 event. 7 00:00:17,817 --> 00:00:20,920 it's part of a much bigger picture. 8 00:00:20,920 --> 00:00:23,590 we have satellites that are involved in this project, we 9 00:00:23,590 --> 00:00:26,826 have to work that's done on this ship, modelers, and it's all the 10 00:00:26,826 --> 00:00:28,995 different components that bring the whole story together. 11 00:00:28,995 --> 00:00:33,833 You can't necessarily do a whole global science project from a 12 00:00:33,833 --> 00:00:34,934 single standpoint. 13 00:00:35,468 --> 00:00:37,670 Every element is critical to coming up with the answers 14 00:00:37,670 --> 00:00:39,105 that you're looking for. 15 00:00:48,081 --> 00:00:50,683 The project were involved in is called NAAMES, as you know. 16 00:00:51,351 --> 00:00:54,621 It involves for field campaigns, not just this one. 17 00:00:54,621 --> 00:00:58,124 Each one is targeting a specific time of year, a specific set of 18 00:00:58,124 --> 00:01:02,462 events in the ocean as well as the atmosphere. 19 00:01:02,462 --> 00:01:04,631 We are leaving a little bit of us behind on each one of these 20 00:01:04,631 --> 00:01:05,298 cruises. 21 00:01:05,298 --> 00:01:09,235 We have what are known as drifters and we deploy those at 22 00:01:09,235 --> 00:01:12,872 different locations in the North Atlantic here and those drifters 23 00:01:12,872 --> 00:01:16,409 will follow a piece of water here for up to two years. 24 00:01:18,144 --> 00:01:22,549 Those give us essentially a breadcrumb trail so we can leave 25 00:01:22,549 --> 00:01:25,418 a spot but essentially keep our eye on it for many months 26 00:01:25,418 --> 00:01:26,119 afterwards. 27 00:01:26,119 --> 00:01:27,487 We do that with the satellites. 28 00:01:28,188 --> 00:01:31,291 The floats are telling us where that water masses moving and the 29 00:01:31,291 --> 00:01:33,326 satellites are telling us what's happening in that water. 30 00:01:36,463 --> 00:01:39,365 We are also deploying what's called floats which, ironically, 31 00:01:39,365 --> 00:01:40,133 sink. 32 00:01:40,133 --> 00:01:43,403 They go up and down through the water column and they can often 33 00:01:43,403 --> 00:01:46,306 stay in a single spot for a couple of years and they take 34 00:01:46,306 --> 00:01:48,475 measurements continuously up and down through the water column 35 00:01:48,475 --> 00:01:51,311 looking at the biology, looking at the chemistry and the optics 36 00:01:51,311 --> 00:01:54,447 and that continues to give us data about what's happening 37 00:01:54,447 --> 00:01:57,016 with those ecosystems that we studied on the ship and the left 38 00:01:57,016 --> 00:01:57,750 behind. 39 00:02:01,187 --> 00:02:03,923 The information that we can get from these robots, as you might 40 00:02:03,923 --> 00:02:07,627 call them, is very limited, and the questions that we're asking 41 00:02:07,627 --> 00:02:11,698 require an lot more detail about how the system is functioning. 42 00:02:11,698 --> 00:02:14,367 The ship goes out and it's really digging into the 43 00:02:14,367 --> 00:02:18,071 mechanisms about how those ecosystems work. 44 00:02:18,071 --> 00:02:21,307 relating those mechanisms to the properties, the limited 45 00:02:21,307 --> 00:02:23,710 properties that we can actually measure with the robots or 46 00:02:23,710 --> 00:02:25,645 measure with the airplane or measure with the satellites. 47 00:02:26,946 --> 00:02:28,481 it's an integrated system. 48 00:02:28,481 --> 00:02:33,386 Your taking the assets you can do remotely and from space and 49 00:02:33,386 --> 00:02:36,923 linking them to mechanisms and processes that we reveal or 50 00:02:36,923 --> 00:02:38,591 uncover on ship measurements. 51 00:02:42,795 --> 00:02:44,797 You know, the NAAMES project kind of started from space and 52 00:02:44,797 --> 00:02:46,666 worked its way down to the ocean, which is not often 53 00:02:46,666 --> 00:02:47,667 the case. 54 00:02:48,968 --> 00:02:51,504 One of the reasons, as I mentioned, that the field 55 00:02:51,504 --> 00:02:55,008 research is really important is because it provides a level of detail 56 00:02:55,008 --> 00:02:57,744 that we can't get from robots and from satellites. 57 00:02:57,744 --> 00:02:59,412 There's a lot of detail in there. 58 00:03:00,213 --> 00:03:03,316 The satellite data will kind of kick this off was looking at 59 00:03:03,316 --> 00:03:06,352 the full annual cycle of the plankton, bringing up some ideas 60 00:03:06,352 --> 00:03:09,222 that we was kind of contrary to what we had thought was driving 61 00:03:09,222 --> 00:03:11,224 blooms. 62 00:03:20,266 --> 00:03:22,769 There are elements of it that seem to be reasonably 63 00:03:22,769 --> 00:03:23,670 predictable. 64 00:03:23,670 --> 00:03:26,806 There are elements that seem to be more chaotic. 65 00:03:28,641 --> 00:03:32,278 We have some canonical views of the North Atlantic bloom, 66 00:03:32,278 --> 00:03:32,946 for example. 67 00:03:34,314 --> 00:03:36,616 generally, for example, when you get to the climax, the peak of 68 00:03:36,616 --> 00:03:40,253 the bloom, the biomass tends to be dominated by a specific group 69 00:03:40,253 --> 00:03:41,921 of phytoplankton, called diatoms. 70 00:03:41,921 --> 00:03:46,526 Earlier in the year we think of it being dominated by smaller 71 00:03:46,526 --> 00:03:49,262 organisms—flagellated phytoplankton. 72 00:03:50,096 --> 00:03:53,299 But then sometimes you can come out here and get to the peak and 73 00:03:53,299 --> 00:03:55,034 it's not diatoms. Why was that? 74 00:03:55,034 --> 00:03:59,405 And if you look in shorter timescales, you can see a lot of 75 00:03:59,405 --> 00:04:01,441 variability and shorter timescales. 76 00:04:01,441 --> 00:04:05,345 Things are less predictable, at least with our current sest knowledge 77 00:04:05,345 --> 00:04:06,179 of the system. 78 00:04:06,479 --> 00:04:10,817 Hopefully we can say something more intelligent about that as 79 00:04:10,817 --> 00:04:11,818 we move into the future. 80 00:04:17,290 --> 00:04:22,362 The other thing is that a lot of our kind of canonical statements 81 00:04:22,362 --> 00:04:28,201 about the bloom— if you dig a little deeper they're not 82 00:04:28,201 --> 00:04:29,202 very fulfilling. 83 00:04:30,570 --> 00:04:33,206 In many cases, or in the most years, you might say that 84 00:04:33,640 --> 00:04:39,112 bloom climax is dominated by diatoms but not all diatoms are 85 00:04:39,112 --> 00:04:40,513 in the climax. 86 00:04:40,513 --> 00:04:43,750 So why is it that you started the year in the winter with 87 00:04:43,750 --> 00:04:46,886 hundreds of species of diatoms and only a few end up 88 00:04:46,886 --> 00:04:49,289 dominating? They're all diatoms, so why is that? 89 00:04:49,289 --> 00:04:50,857 How reproducible is that? 90 00:04:50,857 --> 00:04:56,129 There are levels of predictability and apparently, some sort of level of 91 00:04:56,129 --> 00:04:59,499 at least with their current understanding of chaos. 92 00:05:13,513 --> 00:05:17,383 A lot of times we think about what controls phytoplankton 93 00:05:17,383 --> 00:05:23,656 growth in the ocean as being largely driven by light and nutrients 94 00:05:23,656 --> 00:05:27,393 and the things they need to divide, right? 95 00:05:27,393 --> 00:05:31,531 But if you look at the bloom, the actual development of 96 00:05:31,531 --> 00:05:36,235 biomass, there's a very very important term in there that has 97 00:05:36,235 --> 00:05:37,637 nothing to do with light or nutrients. 98 00:05:37,637 --> 00:05:39,072 It's "who's eating them". 99 00:05:39,072 --> 00:05:44,344 If you have viruses or these little animals called 100 00:05:44,344 --> 00:05:47,880 zooplankton targeting a specific type of phytoplankton, they'll 101 00:05:47,880 --> 00:05:51,050 knock them out while some other ones have an of advantage, so 102 00:05:51,050 --> 00:05:55,188 it's the complexities of the ecosystem that probably are very 103 00:05:55,188 --> 00:05:58,925 influential on what appears to be more of a chaotic aspect of 104 00:05:58,925 --> 00:05:59,759 the bloom. 105 00:06:09,902 --> 00:06:14,073 For many years in the history of oceanography, the tools that we 106 00:06:14,073 --> 00:06:17,477 had to look at species diversity were relatively coarse. 107 00:06:17,477 --> 00:06:20,913 There are organisms that look very similar but may be very 108 00:06:20,913 --> 00:06:22,048 different species. 109 00:06:22,048 --> 00:06:26,953 With the explosion of genomics, or the "omics" era, we are 110 00:06:26,953 --> 00:06:30,156 starting to see a level of diversity that we had no sense 111 00:06:30,156 --> 00:06:33,860 of and at this point in time it's becoming just exploratory. 112 00:06:33,860 --> 00:06:36,162 You take another sample and you find new species. 113 00:06:36,162 --> 00:06:39,065 Your question, "have they always been there?": I don't know. 114 00:06:39,065 --> 00:06:41,667 Are they always evolving? 115 00:06:41,667 --> 00:06:44,604 Of course, organisms are always evolving and over long enough 116 00:06:44,604 --> 00:06:46,205 time span of periods 117 00:06:46,205 --> 00:06:49,075 you'll get new species—that's just one of the normal processes 118 00:06:49,075 --> 00:06:49,942 of evolution. 119 00:06:49,942 --> 00:06:54,914 We are in an era of oceanography we're just categorizing the 120 00:06:54,914 --> 00:06:58,217 diversity that's out there because we have these new tools 121 00:06:58,217 --> 00:07:00,086 is kind of where we are at. 122 00:07:09,228 --> 00:07:11,397 Simple questions, tough ones to answer. 123 00:07:11,397 --> 00:07:16,903 One thought that came to mind is that as you saying that move along in a 124 00:07:16,903 --> 00:07:20,306 career you start expanding all of the things you can use, from 125 00:07:20,306 --> 00:07:22,775 microscopic work to satellites. 126 00:07:22,775 --> 00:07:29,649 For me, the most important thing for me to recognize is that I'm 127 00:07:29,649 --> 00:07:30,883 not going to be the expert in most of it. 128 00:07:30,883 --> 00:07:34,320 it's bringing in the people who are the experts and making that 129 00:07:34,320 --> 00:07:37,590 possible. That's why when you look at this ship and its crew we've got 130 00:07:37,590 --> 00:07:40,893 people from NASA centers, we've got people from NOAA, we've got 131 00:07:40,893 --> 00:07:44,197 people from all the different national agencies, and all kinds 132 00:07:44,197 --> 00:07:48,267 of universities, so it's the team that makes this happen, not 133 00:07:48,267 --> 00:07:51,737 a single individual. A single individual can come up with the question, 134 00:07:51,737 --> 00:07:56,442 but answering the question requires a lot of expertise, a lot of different 135 00:07:56,442 --> 00:07:59,045 people, and that is really one of the very exciting parts of 136 00:07:59,045 --> 00:08:01,214 this project, bringing all of these pieces together. 137 00:08:01,214 --> 00:08:05,251 And another aspect of it that's real fun for me is that it's a 138 00:08:05,251 --> 00:08:06,953 very interdisciplinary project. 139 00:08:06,953 --> 00:08:09,555 We're not just bringing in oceanographers who are 140 00:08:09,555 --> 00:08:11,991 biologists, bringing in oceanographers who are physicists. 141 00:08:11,991 --> 00:08:13,626 We have a guy here who's studying white sharks. 142 00:08:13,626 --> 00:08:16,796 We of course have aerosol scientists, and people who link 143 00:08:16,796 --> 00:08:19,298 what's in the ocean to aerosols. 144 00:08:19,298 --> 00:08:21,300 And a piece we haven't talked about is the airplane. 145 00:08:21,300 --> 00:08:25,805 We've got instruments on this airplane and experts in that 146 00:08:25,805 --> 00:08:29,542 type of work who are linking to the ship, so it's a very 147 00:08:29,542 --> 00:08:31,677 exciting mission just in the sense of the 148 00:08:31,677 --> 00:08:34,514 breath of the interdisciplinary work that's being done.