1 00:00:12,950 --> 00:00:11,150 it's mid-december in San Francisco the 2 00:00:15,950 --> 00:00:12,960 holiday decorations and lights are out 3 00:00:18,859 --> 00:00:15,960 everywhere skaters zip around the ice 4 00:00:21,050 --> 00:00:18,869 rink set up in Union Square and as 5 00:00:23,320 --> 00:00:21,060 happens every year thousands of 6 00:00:25,970 --> 00:00:23,330 scientists descend on the city 7 00:00:27,679 --> 00:00:25,980 geophysicists specifically for the big 8 00:00:31,429 --> 00:00:27,689 annual meeting of the american 9 00:00:33,350 --> 00:00:31,439 geophysical union or AG you i'm steve 10 00:00:35,299 --> 00:00:33,360 cole with NASA geophysicist study 11 00:00:37,370 --> 00:00:35,309 everything in the solar system from the 12 00:00:39,709 --> 00:00:37,380 earth to the other planets and the Sun 13 00:00:41,510 --> 00:00:39,719 I'll be introducing you to a few of the 14 00:00:44,510 --> 00:00:41,520 scientists here at the meeting who are 15 00:00:46,250 --> 00:00:44,520 involved with NASA research my name is 16 00:00:48,440 --> 00:00:46,260 Galen McKinley I'm a professor of 17 00:00:50,299 --> 00:00:48,450 atmospheric and oceanic sciences at the 18 00:00:52,760 --> 00:00:50,309 University of wisconsin-madison in 19 00:00:54,830 --> 00:00:52,770 Madison Wisconsin the post time 20 00:00:57,229 --> 00:00:54,840 presenting today is focused on Lake 21 00:00:59,479 --> 00:00:57,239 Superior we've been working for several 22 00:01:01,459 --> 00:00:59,489 years on building a computer model to 23 00:01:03,500 --> 00:01:01,469 simulate the carbon cycle of Lake 24 00:01:06,230 --> 00:01:03,510 Superior that includes the physical 25 00:01:08,210 --> 00:01:06,240 circulation of the lake the biology of 26 00:01:11,120 --> 00:01:08,220 the lake that the phytoplankton and 27 00:01:13,490 --> 00:01:11,130 zooplankton level my research focuses on 28 00:01:15,679 --> 00:01:13,500 understanding how large aquatic bodies 29 00:01:17,590 --> 00:01:15,689 that is the oceans and also the Great 30 00:01:19,999 --> 00:01:17,600 Lakes take up carbon from the atmosphere 31 00:01:22,249 --> 00:01:20,009 carbon in the atmosphere is the major 32 00:01:24,740 --> 00:01:22,259 cause a co2 in particular of global 33 00:01:28,130 --> 00:01:24,750 warming warming the planet and right now 34 00:01:31,010 --> 00:01:28,140 the oceans as a whole take about twenty 35 00:01:33,200 --> 00:01:31,020 five percent of that which humans put in 36 00:01:36,260 --> 00:01:33,210 the atmosphere so we need to understand 37 00:01:38,660 --> 00:01:36,270 how the oceans take up that carbon how 38 00:01:40,670 --> 00:01:38,670 that that that uptake changes with time 39 00:01:42,590 --> 00:01:40,680 and space in order to improve our 40 00:01:44,300 --> 00:01:42,600 predictions of the future state of the 41 00:01:47,060 --> 00:01:44,310 carbon cycle and therefore the future 42 00:01:49,250 --> 00:01:47,070 state of the climate system 43 00:01:51,680 --> 00:01:49,260 so coming to a GU meetings is great 44 00:01:53,960 --> 00:01:51,690 because you get to see so many different 45 00:01:56,180 --> 00:01:53,970 kinds of signs that are being done in 46 00:01:57,710 --> 00:01:56,190 areas that I know very little about you 47 00:02:00,140 --> 00:01:57,720 get a chance to be exposed to those 48 00:02:02,810 --> 00:02:00,150 there are about 19,000 registrants for 49 00:02:05,300 --> 00:02:02,820 this meeting so two large degree it's 50 00:02:07,640 --> 00:02:05,310 drinking from a firehose mine as a new 51 00:02:08,960 --> 00:02:07,650 investigator work is a similar to the 52 00:02:11,029 --> 00:02:08,970 poster I'm presenting today on Lake 53 00:02:13,130 --> 00:02:11,039 Superior but there were focused on the 54 00:02:17,480 --> 00:02:13,140 North Atlantic so we're focused on 55 00:02:19,040 --> 00:02:17,490 understanding how the carbon sink in the 56 00:02:22,250 --> 00:02:19,050 North Atlantic and then eventually the 57 00:02:24,770 --> 00:02:22,260 globe how it is responding over the last 58 00:02:26,750 --> 00:02:24,780 30 years to changing atmospheric levels 59 00:02:28,699 --> 00:02:26,760 of carbon dioxide so I think that our 60 00:02:30,199 --> 00:02:28,709 research matters to everyone out there 61 00:02:32,210 --> 00:02:30,209 largely because we're trying to 62 00:02:33,320 --> 00:02:32,220 understand the global carbon cycle and 63 00:02:34,970 --> 00:02:33,330 that's something that humans are 64 00:02:37,729 --> 00:02:34,980 changing a lot every time we burn fossil 65 00:02:40,070 --> 00:02:37,739 fuels every time we make cement every 66 00:02:42,470 --> 00:02:40,080 time we cut down a tree we put more co2 67 00:02:44,810 --> 00:02:42,480 in the atmosphere and that's driving a 68 00:02:46,250 --> 00:02:44,820 warming climate and a lot of changes 69 00:02:48,500 --> 00:02:46,260 around the world that have been observed 70 00:02:50,509 --> 00:02:48,510 for example declining sea ice in the 71 00:02:52,160 --> 00:02:50,519 Arctic so if we're going to understand 72 00:02:53,930 --> 00:02:52,170 all those processes we need to 73 00:02:55,759 --> 00:02:53,940 understand the fundamental forcing of it 74 00:02:58,190 --> 00:02:55,769 so understanding the global carbon cycle 75 00:02:59,720 --> 00:02:58,200 and the role of large bodies of water 76 00:03:01,940 --> 00:02:59,730 like the Great Lakes or the global 77 00:03:03,860 --> 00:03:01,950 oceans in that carbon cycle is really 78 00:03:05,420 --> 00:03:03,870 critical for predicting what future 79 00:03:07,670 --> 00:03:05,430 climate is going to be like I started 80 00:03:10,759 --> 00:03:07,680 out in civil engineering as an 81 00:03:12,979 --> 00:03:10,769 undergraduate and got very interested in 82 00:03:14,740 --> 00:03:12,989 how we use computers to understand 83 00:03:16,690 --> 00:03:14,750 natural systems 84 00:03:19,090 --> 00:03:16,700 then when I worked for a while as an 85 00:03:21,400 --> 00:03:19,100 environmental engineer I realized that 86 00:03:23,230 --> 00:03:21,410 the people with the phd's in the lab 87 00:03:25,060 --> 00:03:23,240 really did the most of the thinking and 88 00:03:27,010 --> 00:03:25,070 they had the most interesting jobs 89 00:03:30,130 --> 00:03:27,020 because they were able to really be 90 00:03:31,720 --> 00:03:30,140 thinking about a process and not just 91 00:03:33,430 --> 00:03:31,730 for example filling out the reports and 92 00:03:35,170 --> 00:03:33,440 doing sort of the grunt work so that's 93 00:03:39,820 --> 00:03:35,180 what motivated me to go ahead and get a 94 00:03:42,190 --> 00:03:39,830 PhD and now as a professor and and 95 00:03:46,570 --> 00:03:42,200 continuing on that track for for more 96 00:03:48,490 --> 00:03:46,580 than a decade I really am so glad that 97 00:03:51,520 --> 00:03:48,500 I'm in this career because I can think 98 00:03:53,410 --> 00:03:51,530 every day my my work is to think my work 99 00:03:55,240 --> 00:03:53,420 is to go into work and learn something 100 00:03:58,060 --> 00:03:55,250 my work is to come to a meeting like