WEBVTT FILE 1 00:00:00.120 --> 00:00:02.580 We have a number of residents, particularly residents living 2 00:00:02.580 --> 00:00:06.450 near warehouse environments that experience poor air quality on a 3 00:00:06.450 --> 00:00:07.800 daily basis. And when 4 00:00:07.800 --> 00:00:12.060 you have a health condition or are sensitive, you don't want 5 00:00:12.060 --> 00:00:14.520 that kind of pollution in your house. 6 00:00:14.579 --> 00:00:19.739 The best solutions are data driven. When people are given 7 00:00:19.769 --> 00:00:23.819 the right data, they will make the right decisions for my 8 00:00:23.819 --> 00:00:28.109 community, and communities across Chicago and the region. 9 00:00:28.300 --> 00:00:32.290 So NASA has this new initiative, and it's called Earth science to 10 00:00:32.290 --> 00:00:36.400 action. And part of what we're doing is we want to understand 11 00:00:36.430 --> 00:00:39.640 the sources of air pollution and how it gets transported in the 12 00:00:39.640 --> 00:00:42.850 atmosphere. And these stakeholders are able to make 13 00:00:42.850 --> 00:00:48.310 the air safer to breathe. Ground level ozone, it physically burns 14 00:00:48.310 --> 00:00:55.990 your lungs. NO2 is a toxic gas. It is linked with pediatric 15 00:00:55.990 --> 00:01:00.970 asthma. PM2.5-- the small particles you breathe in, 16 00:01:01.000 --> 00:01:04.270 they're small enough that they can go through your lungs into 17 00:01:04.270 --> 00:01:09.340 your bloodstream. TEMPO stands for Tropospheric Emissions 18 00:01:09.370 --> 00:01:13.750 Monitoring of Pollution, it will measure air pollution over North 19 00:01:13.750 --> 00:01:17.440 America, every daylight hour, this is really going to be a 20 00:01:17.440 --> 00:01:21.280 game changer helping us understand pollution at the 21 00:01:21.280 --> 00:01:22.330 neighborhood scale. 22 00:01:38.470 --> 00:01:42.670 Today's a really exciting day for both NASA and NOAA. Today, 23 00:01:42.670 --> 00:01:46.810 the TEMPO satellite started its first scans of North America. 24 00:01:47.080 --> 00:01:51.010 We've got three aircraft in the air flying over Chicago, got 25 00:01:51.520 --> 00:01:56.080 dozens of instruments on the DC-8, getting the in situ levels 26 00:01:56.080 --> 00:01:59.440 of air pollutants and greenhouse gases. And then flying above us 27 00:01:59.440 --> 00:02:02.680 right now is the P3 in the G5 with remote sensing payload 28 00:02:02.740 --> 00:02:06.040 decks. It's a very exciting day, historic day. We've been waiting 29 00:02:06.460 --> 00:02:09.550 over a decade, for the TEMPO instrument to start collecting 30 00:02:09.550 --> 00:02:09.850 data. 31 00:02:12.930 --> 00:02:16.050 You know, you build a satellite, it takes years to build it and 32 00:02:16.050 --> 00:02:19.170 you test it in the lab, but you never know if it's going to 33 00:02:19.170 --> 00:02:22.500 work. When you ship it across the country, you put it on a 34 00:02:22.500 --> 00:02:26.100 rocket, you launch it into space. And so yesterday we found 35 00:02:26.100 --> 00:02:29.310 out that TEMPO really is going to be able to measure air 36 00:02:29.310 --> 00:02:35.340 quality over North America. One of the exciting things about 37 00:02:35.340 --> 00:02:37.830 this AEROMMA STAQS field campaign is going to help us 38 00:02:38.040 --> 00:02:43.380 calibrate and validate the TEMPO satellite. So while we're 39 00:02:43.380 --> 00:02:47.850 flying, both the remote sensing and the sensors that are 40 00:02:47.850 --> 00:02:50.880 measuring what's in the atmosphere down low, TEMPO is 41 00:02:50.880 --> 00:02:54.060 scanning overhead. And so we're going to use that data to help 42 00:02:54.060 --> 00:02:57.930 improve the precision and accuracy of the TEMPO satellite. 43 00:02:59.310 --> 00:03:01.770 We're on an airbase Wright Patterson Air Base in Dayton, 44 00:03:01.770 --> 00:03:05.670 Ohio. There's jets taking off and transports taking off and we 45 00:03:05.670 --> 00:03:10.110 have hundreds of people here. We want to understand the sources 46 00:03:10.110 --> 00:03:13.140 of air pollution and how it gets transported in the atmosphere. 47 00:03:13.620 --> 00:03:16.110 And what's wonderful is we'll work with our partners at EPA 48 00:03:16.110 --> 00:03:20.700 and NOAA to help make sure that NASA and these stakeholders are 49 00:03:20.700 --> 00:03:22.380 able to make the air safer to breathe. 50 00:03:24.390 --> 00:03:27.150 If there's one takeaway from this mission, what we want to 51 00:03:27.150 --> 00:03:30.990 learn is how can satellites help us address air quality issues. 52 00:03:30.990 --> 00:03:34.920 We have this new asset into space with TEMPO, and it will be 53 00:03:34.920 --> 00:03:38.580 operating over the next few years. So this is a pathfinder 54 00:03:38.580 --> 00:03:42.780 for us to integrate these types of measurements into air quality 55 00:03:42.780 --> 00:03:46.110 decision making. So there's a lot of people that are doing 56 00:03:46.110 --> 00:03:50.370 research in the community. And as we partner up and put our 57 00:03:50.370 --> 00:03:54.630 assets together, we can actually do something bigger than any 58 00:03:54.630 --> 00:03:57.840 individual component could do alone. 59 00:04:00.240 --> 00:04:04.290 Right now in the United States, EPA has air pollution monitors 60 00:04:04.290 --> 00:04:08.520 in certain neighborhoods around the US but we don't know the air 61 00:04:08.520 --> 00:04:13.200 pollution in every neighborhood. The TEMPO satellite is going to 62 00:04:13.200 --> 00:04:17.040 get every hour during the daytime. We'll see how pollution 63 00:04:17.040 --> 00:04:20.190 changes from the morning to the afternoon to the evening we'll 64 00:04:20.190 --> 00:04:23.880 see pollution get transported from one neighborhood to another 65 00:04:23.880 --> 00:04:27.120 and we'll be able to see where we don't currently have monitors 66 00:04:27.120 --> 00:04:30.870 so we'll get a good picture of environmental inequalities. 67 00:04:39.840 --> 00:04:44.040 Factories, industrial centers, intermodal facilities, transport 68 00:04:44.040 --> 00:04:47.550 hubs, warehouses— all of these facilities have higher emissions 69 00:04:47.550 --> 00:04:50.250 than other locations in the city. Certain communities don't 70 00:04:50.250 --> 00:04:52.800 have the ability to influence decisions on where these 71 00:04:53.130 --> 00:04:57.750 facilities are located. Because of that many of these facilities 72 00:04:57.750 --> 00:05:01.410 are located in disadvantaged communities and which is an 73 00:05:01.410 --> 00:05:05.160 environmental justice issue in the city. One of the interesting 74 00:05:05.160 --> 00:05:08.790 things about Chicago is that we're rapidly advancing our 75 00:05:08.790 --> 00:05:12.030 ability to characterize air quality in the city. And one of 76 00:05:12.030 --> 00:05:14.820 the things we're learning is that the observations that we 77 00:05:14.820 --> 00:05:18.210 have don't necessarily agree with the lived experience of 78 00:05:18.240 --> 00:05:19.710 some of the residents in the city. 79 00:05:23.470 --> 00:05:28.060 My family members, we all have asthma. And so air quality is 80 00:05:28.060 --> 00:05:33.700 really important because we live in a hot climate and that you 81 00:05:33.700 --> 00:05:37.420 want to open up your windows. But you know, if you open up 82 00:05:37.420 --> 00:05:40.570 your windows, not only are you going to get wind, but you're 83 00:05:40.570 --> 00:05:45.400 going to get polluted wind. And when you have a health condition 84 00:05:45.400 --> 00:05:49.330 or are sensitive, you don't want that kind of pollution in your 85 00:05:49.330 --> 00:05:53.110 house. Your house is your sacred space that where you can be 86 00:05:53.110 --> 00:05:54.850 joyful and well in. 87 00:05:55.810 --> 00:05:58.660 Chicago happens to be the the largest freight hub in North 88 00:05:58.660 --> 00:06:01.630 America, which means we have a whole bunch of heavy duty 89 00:06:01.660 --> 00:06:05.110 vehicles coming through a number of warehouses, and as they sit 90 00:06:05.110 --> 00:06:08.050 and idle, they'll be polluting in their environments. And if 91 00:06:08.050 --> 00:06:11.830 you happen to be a resident in a warehouse environment, you're 92 00:06:11.830 --> 00:06:14.020 going to be exposed to that much more pollution. 93 00:06:14.530 --> 00:06:19.300 We have adjacent communities, they have much higher street 94 00:06:19.300 --> 00:06:25.120 traffic from trucks, and the pollution there is off the hooks 95 00:06:25.150 --> 00:06:29.140 and you just walking down the street, you see truck after 96 00:06:29.140 --> 00:06:32.920 truck after truck. And so those are in underserved 97 00:06:32.920 --> 00:06:37.690 neighborhoods, they have to live with a high level of day to day 98 00:06:37.690 --> 00:06:42.220 pollution, it doesn't take Canada being on fire for them to 99 00:06:42.000 --> 00:06:51.810 Air quality in Chicago is a complex news story, because it 100 00:06:42.220 --> 00:06:42.700 suffer. 101 00:06:51.810 --> 00:06:55.530 doesn't affect everybody equally. For one thing, there 102 00:06:55.530 --> 00:06:59.910 are two major things that lead to bad air quality in Chicago, 103 00:07:00.210 --> 00:07:04.020 you've got locally generated emissions, the interaction with 104 00:07:04.020 --> 00:07:08.280 sunshine, which leads to ozone and particulate matter. But as 105 00:07:08.280 --> 00:07:12.450 we've seen, especially this year, you have non locally 106 00:07:12.450 --> 00:07:16.350 driven air quality issues such as that that comes from the 107 00:07:16.350 --> 00:07:20.910 Canadian wildfires. So TEMPO is an amazing instrument. When we 108 00:07:20.910 --> 00:07:24.870 talk about both climate models that DOE runs and spaceborn 109 00:07:24.870 --> 00:07:28.800 missions that NASA runs. It's like your digital camera. It's 110 00:07:28.800 --> 00:07:33.960 getting higher and higher in resolution. That's why we are 111 00:07:33.960 --> 00:07:38.460 partnering with the AEROMMA and STAQS missions over Chicago, 112 00:07:38.520 --> 00:07:42.450 we're really creating actionable data that will really make a 113 00:07:42.450 --> 00:07:44.970 difference in people's lives. 114 00:07:47.400 --> 00:07:53.910 I am really impressed with how much big data has allowed us to 115 00:07:53.910 --> 00:07:58.620 really drill down and really understand our community. When 116 00:07:58.620 --> 00:08:05.010 you go and ask for policy and fiscal support to have the 117 00:08:05.010 --> 00:08:09.150 science with it. So it's not just what we think. But it's 118 00:08:09.150 --> 00:08:10.380 what we know. 119 00:08:13.570 --> 00:08:18.190 We have TEMPO working we know it's working. We have AEROMMA 120 00:08:18.220 --> 00:08:21.910 and STAQS datasets that are going to help us calibrate it. 121 00:08:22.510 --> 00:08:28.030 And in October, the data is going to be flowing into the 122 00:08:28.030 --> 00:08:32.290 NASA atmospheric science data center. And so that will be 123 00:08:32.860 --> 00:08:36.700 publicly available to anyone in particular, we know that our 124 00:08:36.700 --> 00:08:40.900 partners at the EPA and NOAA are excited to use this data to 125 00:08:40.900 --> 00:08:44.230 understand air pollution in the United States but also be able 126 00:08:44.230 --> 00:08:47.680 to use it to improve the air quality forecast.