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.