﻿1
00:00:22,822 --> 00:00:24,858
I think one of the
things that's really special about this

2
00:00:24,858 --> 00:00:28,495
visualization is that it's showing
this is new and really complex

3
00:00:28,495 --> 00:00:31,197
part of our model,
which is atmospheric chemistry.

4
00:00:32,365 --> 00:00:35,101
One of the issues,
I think, with atmospheric chemistry

5
00:00:35,101 --> 00:00:41,641
is that it's so complicated and it changes
so rapidly on a short scale.

6
00:00:41,908 --> 00:00:45,345
We're not necessarily able
to observe it all the time

7
00:00:45,979 --> 00:00:47,480
everywhere.

8
00:00:48,748 --> 00:00:52,052
So that's where models come in
by merging models and satellite data.

9
00:00:52,285 --> 00:00:55,588
We get a much fuller picture of what's
going on throughout the atmosphere.

10
00:00:55,855 --> 00:00:58,792
We can see gases that we couldn't see
with satellites alone.

11
00:00:58,958 --> 00:01:01,861
We can see the parts of the atmosphere
column that we really need to know,

12
00:01:01,861 --> 00:01:05,031
like the nose level
contributions of pollutants that we need

13
00:01:05,031 --> 00:01:08,168
to communicate to our policy makers
to protect people's health.

14
00:01:10,603 --> 00:01:13,973
So what we are seeing is visualization

15
00:01:14,107 --> 00:01:19,145
of the composition of the atmosphere
as it relates to air pollution.

16
00:01:19,479 --> 00:01:24,217
There are hundreds of chemicals of that
all contributes to those pollutants.

17
00:01:24,684 --> 00:01:27,420
And you can see and this visualization

18
00:01:27,821 --> 00:01:30,156
is really what the computer model does.

19
00:01:30,423 --> 00:01:32,859
Like underneath
there are hundreds of chemicals.

20
00:01:33,359 --> 00:01:35,395
They all react to each other.

21
00:01:35,395 --> 00:01:37,130
It's a huge dating pool.

22
00:01:37,130 --> 00:01:40,033
And all of the chemicals
date each other all the time.

23
00:01:42,735 --> 00:01:45,205
So even though these chemicals,
some of them are present

24
00:01:45,205 --> 00:01:48,842
only at these very dilute concentrations,
they're actually quite important.

25
00:01:48,875 --> 00:01:51,811
So we have to really track
all of these different molecules

26
00:01:51,811 --> 00:01:54,080
be able to get at those pieces
that people really need.

27
00:01:54,314 --> 00:01:56,382
The pieces of information
that affect human health.

28
00:01:57,450 --> 00:01:59,886
We rely on computer models to gain

29
00:01:59,886 --> 00:02:02,989
additional insights on where is it formed?

30
00:02:03,223 --> 00:02:05,191
Where is it destroyed?

31
00:02:05,191 --> 00:02:07,427
What are the mechanisms
and how it is formed?

32
00:02:07,760 --> 00:02:10,096
But also how can it be mitigated.

33
00:02:10,730 --> 00:02:12,065
There's all this interesting stuff

34
00:02:12,065 --> 00:02:14,634
going on all around us
that we're not necessarily aware of.

35
00:02:15,468 --> 00:02:17,637
And so this simulation is really just

36
00:02:17,637 --> 00:02:20,740
trying to illustrate
what's going on with those gases.

37
00:02:20,907 --> 00:02:24,711
But by doing so many of them illustrate
how complex their interactions are

38
00:02:24,711 --> 00:02:28,381
and how many things are going on, even if
we're not aware of them all the time,

39
00:02:32,218 --> 00:02:34,487
Ten years
ago, we couldn't do anything like this.

40
00:02:34,487 --> 00:02:37,924
So this is really a revolutionary type
of approach

41
00:02:37,924 --> 00:02:40,493
to be able to combine the satellite
and the model.

42
00:02:41,528 --> 00:02:43,730
This is a really exciting new frontier
for us.

43
00:05:32,899 --> 00:05:33,466
Right?

44
00:05:33,633 --> 00:05:36,402
So what we are seeing in the animation

45
00:05:36,903 --> 00:05:41,974
is visualization
of the composition of the atmosphere

46
00:05:42,408 --> 00:05:45,211
and how all the chemicals interact

47
00:05:45,211 --> 00:05:46,679
with each other.

48
00:05:53,553 --> 00:05:55,655
As it relates to air pollution.

49
00:05:56,756 --> 00:06:00,493
So in order to typically
when we talk about air pollution,

50
00:06:00,927 --> 00:06:03,896
we think about a couple of key pollutants.

51
00:06:04,230 --> 00:06:08,668
This is ozone, nitrogen dioxide,
uh, fine particulate matter.

52
00:06:09,135 --> 00:06:12,572
Uh, but underneath
that there are hundreds of chemicals

53
00:06:12,972 --> 00:06:16,142
that all contribute to those pollutants

54
00:06:16,676 --> 00:06:18,778
and how they interact with each other

55
00:06:19,645 --> 00:06:22,281
and how they sort of influence each other.

56
00:06:22,682 --> 00:06:26,386
That's
what you simulate in a computer model.

57
00:06:26,486 --> 00:06:29,522
And what you can see in this visualization

58
00:06:29,956 --> 00:06:33,693
is really what the computer model does
sort of like underneath all the

59
00:06:42,402 --> 00:06:44,871
kind of like it's a huge dating pool

60
00:06:44,871 --> 00:06:47,774
and all of the chemicals,
they do each other all the time.

61
00:06:54,647 --> 00:06:57,850
Ozone typically
is sort of like considered a little bit

62
00:06:57,850 --> 00:07:02,255
the Holy Grail of atmospheric chemistry,
because in order to get it right,

63
00:07:02,622 --> 00:07:05,925
you have to get a lot
of the other chemicals right

64
00:07:05,925 --> 00:07:09,762
because they all influence ozone

65
00:07:14,100 --> 00:07:15,168
So we start

66
00:07:15,168 --> 00:07:19,172
and we end with ozone
because it's really kind of like

67
00:07:19,172 --> 00:07:22,341
the central
the species in atmospheric chemistry.

68
00:07:23,075 --> 00:07:27,713
It protects life on earth,
in the stratosphere with the ozone layer.

69
00:07:28,114 --> 00:07:31,017
But it's also a pollutant
when it's at surface level.

70
00:07:31,017 --> 00:07:35,555
So it's so toxic to humans,
but also to the vegetation.

71
00:07:35,955 --> 00:07:38,291
So it's very important that aspect.

72
00:07:38,658 --> 00:07:41,327
But also chemically, it's
very complicated.

73
00:07:41,394 --> 00:07:43,963
It interacts
with a lot of the other chemicals.

74
00:07:44,397 --> 00:07:47,834
In order to get it right in the model,
you have to get a lot of

75
00:07:47,834 --> 00:07:49,435
the other chemicals right.

76
00:07:49,435 --> 00:07:52,505
So it's sort of like the holy grail
of atmospheric.

77
00:07:52,505 --> 00:07:53,840
Chemistry in many ways.

78
00:07:59,745 --> 00:08:02,915
The chemistry in the atmosphere
is very complex.

79
00:08:03,182 --> 00:08:06,853
There are hundreds of chemicals
they all react to of each other.

80
00:08:07,487 --> 00:08:10,223
And one of the most
challenging aspects of it

81
00:08:10,223 --> 00:08:12,925
is that they have very different lifetimes

82
00:08:16,229 --> 00:08:19,332
And so there are a couple of species
in the animation

83
00:08:19,732 --> 00:08:24,837
that we know that they are carcinogenic,
and formaldehyde is actually one of them.

84
00:08:24,871 --> 00:08:27,507
And I think that it's in the hydrocarbons.

85
00:08:27,507 --> 00:08:34,547
But one of the issues,
I think, with atmospheric

86
00:08:34,547 --> 00:08:39,018
chemistry is that, um,
because it's so complicated,

87
00:08:39,118 --> 00:08:42,321
and it changes so rapidly

88
00:08:42,321 --> 00:08:45,358
on our short scale,
we don't necessarily care.

89
00:08:46,092 --> 00:08:50,963
We're not necessarily able
to observe it all the time everywhere.

90
00:08:51,030 --> 00:08:54,967
And so we rely on computer models
to gain additional insight.

91
00:08:54,967 --> 00:08:57,103
So where is it formed?

92
00:08:57,103 --> 00:08:59,071
Where is it destroyed?

93
00:08:59,071 --> 00:09:01,374
What are the mechanisms
and how it is formed?

94
00:09:01,607 --> 00:09:06,412
But also how can kind of be mitigated,
let's say, if we changed emissions

95
00:09:06,512 --> 00:09:11,017
or if we even just emit things
at a different time during the day?

96
00:09:11,217 --> 00:09:13,920
How would that change the formation of the

97
00:09:14,854 --> 00:09:16,022
air pollution?

98
00:09:16,022 --> 00:09:20,960
And so you need the model because
those questions, they're so complicated.

99
00:09:21,327 --> 00:09:24,330
Um, so you can just wrap your head around
how ozone.

100
00:09:24,330 --> 00:09:27,400
Is formed to really need a computer model
to understand that.

101
00:09:33,139 --> 00:09:34,907
My name is Christoph Keller.

102
00:09:34,907 --> 00:09:37,843
I'm a research scientist at NASA's
Goddard goes

103
00:09:37,843 --> 00:09:41,013
to global warming and a simulation of.

104
00:09:41,013 --> 00:09:41,914
Perfect

105
00:09:44,850 --> 00:09:47,687
I think one of the things that's
really special about this visualization

106
00:09:47,687 --> 00:09:51,390
is that it's showing there's this new
and really complex part of our model.
