1 00:00:00,000 --> 00:00:03,900 I am currently running the HSRL-2 instrument onboard the G 2 00:00:04,080 --> 00:00:06,870 III during the Asia AQ field campaign. 3 00:00:18,120 --> 00:00:21,870 We are here in Asia to study air quality and air pollution. There 4 00:00:21,870 --> 00:00:25,290 are a lot of major cities in Asia, there's a lot of people 5 00:00:25,290 --> 00:00:28,770 living in Asia, and there's a lot of factors that can control 6 00:00:28,770 --> 00:00:32,910 whether the air quality is good or bad. And so we're here to try 7 00:00:32,910 --> 00:00:36,420 to understand what those factors are and how we can make the air 8 00:00:36,420 --> 00:00:37,470 quality even better. 9 00:00:43,470 --> 00:00:46,410 It's been said that bad air quality anywhere is bad air 10 00:00:46,410 --> 00:00:50,250 quality everywhere. The air doesn't care if there's a 11 00:00:50,250 --> 00:00:53,520 country border or a state border, it does whatever it 12 00:00:53,520 --> 00:00:56,970 wants, and it moves however it wants dictated by weather and by 13 00:00:57,000 --> 00:01:00,990 meteorology. And I think that's what makes Asia AQ so cool and 14 00:01:00,990 --> 00:01:03,570 so interesting is that it truly is an international 15 00:01:03,570 --> 00:01:06,900 collaboration. It's not just the United States. It's not just 16 00:01:06,900 --> 00:01:09,900 NASA, it's also these other agencies and other countries 17 00:01:09,900 --> 00:01:13,110 that are all working together towards the same goal, to try to 18 00:01:13,110 --> 00:01:15,000 clean up air quality around the world. 19 00:01:34,170 --> 00:01:37,800 Air quality is a problem around the world, especially in large 20 00:01:37,800 --> 00:01:42,300 cities in the U.S. you think New York, LA, Chicago. In Asia, we 21 00:01:42,300 --> 00:01:47,040 think Seoul, Kuala Lumpur, Bangkok. In North America, we 22 00:01:47,040 --> 00:01:50,520 have a satellite called TEMPO that looks continuously— that 23 00:01:50,520 --> 00:01:54,420 satellite is doing its job. But there's also a satellite over 24 00:01:54,450 --> 00:01:59,070 Asia called GEMS. GEMS is looking at Korea, Japan, China, 25 00:01:59,430 --> 00:02:03,870 Philippines, Thailand, India, Indonesia, Malaysia. So you can 26 00:02:03,870 --> 00:02:07,890 see the wide range of situations both in terms of what humans put 27 00:02:07,890 --> 00:02:10,740 into the atmosphere, but also in terms of how the chemistry 28 00:02:10,740 --> 00:02:13,950 proceeds, it's a very rich environment here in Asia to 29 00:02:13,950 --> 00:02:16,440 study the science of air quality. Our 30 00:02:16,440 --> 00:02:19,440 instruments, or, the one we're operating here is looking at 31 00:02:19,980 --> 00:02:24,000 both particulates and ozone in the atmosphere. As we fly along 32 00:02:24,000 --> 00:02:26,730 a track, we're looking from the aircraft all the way down to the 33 00:02:26,730 --> 00:02:27,300 surface. 34 00:02:28,950 --> 00:02:31,410 This is the best part of our job, getting to come out and 35 00:02:31,410 --> 00:02:34,230 make the measurements. One of the things we're trying to do 36 00:02:34,230 --> 00:02:37,440 with the aircraft is to really map out the vertical 37 00:02:37,440 --> 00:02:42,000 distribution. So we have measurements from the ground. So 38 00:02:42,000 --> 00:02:45,420 we get a good information right at the surface. And we have a 39 00:02:45,420 --> 00:02:48,840 view from space, which NASA is definitely interested in. So 40 00:02:48,840 --> 00:02:52,590 with the remote sensing that we have here, we get both, we get 41 00:02:52,590 --> 00:02:56,220 the column measurements and the vertical profiles, along with 42 00:02:56,220 --> 00:02:59,580 the DC-8, that's also doing a lot of vertical sampling with 43 00:02:59,730 --> 00:03:01,980 highly detailed measurements. Our 44 00:03:01,980 --> 00:03:05,460 job is to keep getting better, we're measuring more things from 45 00:03:05,460 --> 00:03:08,250 the DC-8 than we've ever measured before. We're combining 46 00:03:08,250 --> 00:03:11,070 two planes together in a way that's never been done before. 47 00:03:11,310 --> 00:03:14,070 We're building models that can predict more accurately than 48 00:03:14,070 --> 00:03:18,510 ever before. And we need those things because the atmosphere is 49 00:03:18,510 --> 00:03:19,140 changing. 50 00:03:26,490 --> 00:03:31,620 Seoul metropolitan area has a population of over 10 million 51 00:03:31,620 --> 00:03:37,920 people, meaning people are sharing the air regardless of 52 00:03:37,920 --> 00:03:43,320 their willingness. So the poor air quality means really 53 00:03:43,590 --> 00:03:50,400 influential effects to many people. There are many entities 54 00:03:51,420 --> 00:03:56,730 involved in this Asia AQ, from starting from a space agency 55 00:03:56,760 --> 00:04:01,200 such as NASA and our Ministry of Environment in Korea, the 56 00:04:01,200 --> 00:04:04,710 partnerships are most important because as scientists, we're 57 00:04:04,710 --> 00:04:08,580 here to provide information. Yes, we do think air quality is 58 00:04:08,580 --> 00:04:12,060 a problem. We do want to see it improve. But we're not the ones 59 00:04:12,060 --> 00:04:14,610 who do that. If we want to see that happen, we have to 60 00:04:14,610 --> 00:04:17,460 communicate what we're seeing to people who are in a position to 61 00:04:17,460 --> 00:04:21,990 do something about that. My hope for this mission is that we will 62 00:04:21,990 --> 00:04:26,700 be able to increase our understanding of how each 63 00:04:26,700 --> 00:04:31,800 country faces air quality, what their challenges are, that we 64 00:04:32,310 --> 00:04:36,570 make them better at their forecasting and predictability 65 00:04:36,630 --> 00:04:42,000 of air quality and that we can pinpoint things that they can 66 00:04:42,000 --> 00:04:46,140 prioritize in terms of improving problem. This 67 00:04:46,140 --> 00:04:51,012 means a lot to us, because there are well over 500 people 68 00:04:51,098 --> 00:04:55,885 involved in this campaign, including scientists from the 69 00:04:55,971 --> 00:05:01,271 U.S. and Korea, and many other countries in Asia. For example, 70 00:05:01,357 --> 00:05:06,914 we have have an outreach program that raises the public awareness 71 00:05:06,999 --> 00:05:11,872 of this air quality, which will eventually lead up to the 72 00:05:11,958 --> 00:05:17,258 politicians. I've been working on satellite remote sensing for 73 00:05:17,343 --> 00:05:22,302 my scientist career, but the best thing about this type of 74 00:05:22,387 --> 00:05:26,491 campaign is to have many different people gather 75 00:05:26,576 --> 00:05:31,962 together, share their knowledge, and share their data to draw a 76 00:05:32,048 --> 00:05:37,177 scientific conclusions on the air pollution events, and they 77 00:05:37,263 --> 00:05:38,460 are evolutions