Episode Transcript
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prices. Sierra, let's get moving.
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Yeah, we are continuing to follow
0:52
up on some of this storm
0:54
damage that really has hit Kentucky.
0:56
We're currently in Estle County on
0:58
Furnace Junction Drive. Take a look
1:00
at this home behind me. It
1:02
has been absolutely crushed by a
1:04
tree. There were two earlier this
1:06
month. A series of powerful storms
1:08
ripped across the plains Midwest and
1:10
South, causing severe damage in Tennessee,
1:12
Missouri and Kentucky. The National Weather
1:14
Service confirms four tornadoes in middle
1:16
Tennessee from Thursday night's weather system.
1:18
Wind speeds of up to 110
1:20
miles per hour were reported, snapping
1:22
hundreds of trees and causing
1:24
roof damage to homes. Multiple
1:26
people were killed in Tennessee, Missouri
1:28
and Indiana. Powerful storms spawned
1:30
dozens of tornadoes, and as people clean
1:33
up and assess the damage, a
1:35
new line of powerful thunderstorms is moving
1:37
through this weekend. Typically, when
1:39
severe weather hits, A constellation
1:42
of experts comes together, many
1:44
of whom work for the
1:46
National Oceanic and Atmospheric Administration, or
1:48
NOAA. They're coordinating with the
1:50
national offices. They're coordinating with
1:52
emergency responders, with emergency managers.
1:55
We're coordinating with all sorts
1:57
of people to make sure
1:59
the word gets out that the
2:01
warnings are correct and timely and accurate. Daniel
2:04
Swain is a weather and
2:06
climate scientist with the University of
2:08
California Agricultural and Natural Resources. When
2:11
I called up Daniel, I wanted
2:13
to ask him about these storms because
2:15
I'd heard that the local office of
2:17
the National Weather Service in Louisville didn't
2:19
conduct a typical poststorm survey. Well,
2:21
that's my understanding as well, and
2:23
although it has been really difficult to
2:25
get official confirmation of the whys
2:27
surrounding any number of pretty conspicuous events
2:29
recently in the Water Service at
2:31
NOAA that appear to be related to
2:33
critical understaffing, essentially the fact that
2:35
there simply aren't enough personnel to do
2:38
all of the duties that are
2:40
required to be done, that is what
2:42
the reporting has said about that
2:44
specific situation as well. And there's plenty
2:46
of evidence this is a much
2:48
more widespread problem right now. Basically,
2:54
because of the Trump administration's cuts to
2:56
NOAA and the National Weather Service,
2:58
there aren't enough people to do these
3:00
jobs in weather offices all across
3:02
the country. And it's not
3:04
just post -storm surveys that are being eliminated. Some
3:07
of the most basic forecasting is
3:09
not happening either. Take
3:11
weather balloons, for example. Normally.
3:14
National Weather Service staffers routinely launch
3:16
what are called radio sands. These
3:18
small devices float up with the
3:20
balloons to measure all kinds of
3:22
weather conditions. And essentially, the
3:24
calculus has been made that that is not
3:26
the best use of two to four person
3:28
hours of time, even though it is an
3:30
objectively very important thing to be doing. We've
3:33
also heard that certain weather offices in
3:35
the US are no longer able to answer
3:37
the phone. I mentioned that was a
3:40
critical function. That's a pretty
3:42
basic and kind of amazing capability
3:44
that historically you could just call up
3:46
your local meteorologist at the weather
3:48
service and get a response from a
3:50
trained certified meteorologist who's knowledgeable about
3:52
your own local area. That's
3:54
no longer the case. During that
3:56
same tornado and flood outbreak
3:58
in Kentucky and the central .S.,
4:00
There's one weather office in particular,
4:02
I believe it was the
4:04
one in Paducah, Kentucky, where
4:06
the plumbing had failed some weeks
4:09
before the tornado outbreak, and there
4:11
was no ability for the government
4:13
to repair the toilets. And so,
4:15
literally, in this case, there were
4:17
national weather service meteorologists who had
4:19
no facilities to use but a
4:21
port -a -potty in the parking lot
4:23
during a literal tornado outbreak and
4:25
major flood event. Today
4:30
on The Show, the decimation
4:32
of NOAA, the National Weather Service,
4:35
and what happens to Americans when
4:37
the best storm prediction centers in
4:39
the country are gutted. I'm
4:41
Lizzie O 'Leary, and you're listening to What
4:43
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technology, power, and how the future will
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Peloton. Visit One peloton.com. I
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want to back up a little
6:08
bit and kind of walk through
6:10
some of the cuts and funding
6:12
decisions we have seen and then
6:15
the effects of those. Since
6:17
March, hundreds of employees from
6:20
the National Oceanic and Atmospheric Administration,
6:22
NOAA have been laid off or
6:24
been subject to some of these
6:26
reductions in force. A
6:29
lot of that includes cuts to
6:31
the National Weather Service. When
6:33
all of this started, what
6:36
was your reaction? Well,
6:39
my initial reaction was, well, I
6:41
guess we are doing exactly what
6:43
was described in Project 2025. It
6:46
specifically mentioned that NOAA was
6:48
the, I believe this is a
6:50
direct quote, the mouthpiece of
6:52
the climate alarm industry, and that
6:54
the weather service should be
6:56
dramatically downsized and downscaled. And the
6:58
problem is that we are
7:00
now seeing a lot of this
7:02
take shape. And so what
7:04
we're seeing, and my
7:06
initial reaction to this has
7:08
been not. Shock or
7:10
surprise really just deep dismay because it
7:12
was pretty clear this was this
7:15
was on the list of priorities and
7:17
It appears to be headed in
7:19
that direction and of course the cuts
7:21
we've seen so far Especially if
7:23
this document is taken to be a
7:25
policy Blueprint which it certainly seems
7:27
to be in many respects This is
7:29
just the beginning of the cuts
7:31
that may yet still be to come
7:33
and therefore the harm and disruption
7:36
that may yet still be to come
7:38
I think we saw a preview
7:40
of that last week with the
7:42
leak of the passback document regarding
7:44
next year's budget. Think of
7:46
a passback as part of a
7:48
negotiation between federal agencies and the
7:50
Office of Management and Budget. An
7:53
agency will ask for a certain
7:55
amount of money. The OMB will respond
7:57
with its own number. That's the passback. like
8:00
a working list of a White House's
8:02
funding priorities. According to
8:04
the leaked passback, the Trump
8:06
administration would essentially eliminate
8:08
an entire NOAA office, the
8:10
Oceanic and Atmospheric Research Office.
8:13
This office funds studies into
8:15
weather and climate and events
8:18
like flooding and wildfires. The
8:20
OAR has 10 research labs
8:22
and 16 affiliated cooperative institutes
8:24
across the country. The proposal
8:26
would completely eliminate this office
8:28
at NOAA and therefore virtually
8:30
all of the weather and
8:32
climate research and disaster related
8:35
research that that comes from
8:37
it and also all of
8:39
these freestanding essentially federal government
8:41
labs all around the country.
8:43
I'm sitting here today about
8:45
a quarter mile from one
8:47
of those labs and Boulder,
8:49
Colorado, and it's a huge
8:51
facility. I mean, it produces an
8:53
enormous volume of research not only on
8:55
climate change, which seems to be
8:57
one of the reasons or motivations behind
8:59
some of these proposed cuts, but
9:02
also things, again, as I mentioned,
9:04
day -to -day weather, tornado outbreaks, heat
9:06
waves, floods, hurricanes. And
9:08
so, you know, all of this
9:11
is really critical to the ability
9:13
for us to understand how weather
9:15
works, improve our weather predictions, let
9:17
alone understand climate change. When
9:20
there are so few people
9:22
in these offices and when
9:24
a major weather event like
9:27
this happens, what
9:29
is lost? What
9:31
do communities suffer? Well,
9:34
I think some of the
9:36
what is lost is is not
9:38
obvious in the moment You
9:40
know, I'm sitting here today in
9:42
my home office and it's
9:44
a partly cloudy day and it's
9:46
about 70 degrees in breezy
9:49
There's probably not a lot of
9:51
economic harm or or harm
9:53
to life and property that's going
9:55
to come from Understaffing on
9:57
a day like today necessarily although
9:59
I think even there we
10:01
might underestimate it but where the
10:03
rubber really meets the road
10:05
where these the critical understaffing and
10:07
the inability to get this
10:09
initial condition weather information through reduced
10:11
observations and communications breakdowns potentially
10:13
as these accelerate, where these
10:15
are really going to pose problems is when
10:17
the weather isn't like I just described today, when
10:19
it isn't calm and benign. And even though,
10:21
of course, extreme weather
10:23
is less common than benign
10:25
or ordinary weather, it
10:27
can be hugely destructive and
10:29
deadly. And at the
10:31
margins, even relatively, incremental decrease
10:33
in the ability of
10:35
weather forecasters with the Weather
10:37
Service to offer 24 -7
10:39
-365 life and property protection
10:41
services, which is essentially
10:43
what they're doing and what
10:45
they're mandated to do
10:47
through the congressional mandate to
10:49
fund the organization, then
10:52
that is where We start
10:54
to see the potential for lives
10:56
lost for damage wrought and
10:58
economic harm done that would not
11:00
have been done otherwise. Just
11:03
think about this year alone. A
11:05
record -breaking snowstorm in January, a
11:08
violent central plane storm in March that
11:10
killed at least 42 people over the
11:12
course of a weekend. Not
11:14
to mention the LA fires. Still,
11:17
Daniel says, lives were
11:19
saved because of weather predictions.
11:22
The LA fires, for example, it's
11:24
very likely that that situation would
11:26
have been significantly worse even than
11:28
the catastrophe that unfolded because there
11:30
were really good predictions in advance
11:32
of an extreme wind event preceded
11:34
by record dryness and extremely critical
11:36
fire risk that triggered pre -positioning of
11:38
firefighting resources, closures of parks and
11:40
open areas. People couldn't park on
11:42
the narrow streets and the hills
11:44
of LA to make sure fire
11:46
trucks could get in and out.
11:48
All of that was on the
11:50
basis of a national or the
11:52
service predictions. But what happens if
11:54
the National Weather Service can't track
11:56
all these storms if they're so
11:58
understaffed or their infrastructure and computers
12:01
aren't maintained? Once that starts
12:03
to break down, then even if you
12:05
have the personnel locally, they might not have
12:07
the tools and the information that they
12:09
need to make those accurate forecasts if the
12:11
weather radar goes down in a moment
12:13
where you didn't have those balloon launches. Again,
12:16
not an implausible scenario in
12:18
the Midwest during a tornado
12:20
outbreak and we are again
12:22
in peak tornado season. That's
12:24
the kind of situation that
12:26
could be directly life -threatening
12:28
and certainly economy -threatening. And
12:30
that's just at the extremes. You know, the
12:32
other purpose of no on the weather service
12:34
and weather prediction in general, it's not just
12:36
to avert harm, although I would argue that's
12:39
maybe the most important thing from my perspective,
12:41
but it's also to increase efficiency, ironically. Think
12:44
about logistics companies and airlines. Think
12:46
about why if you've taken the same
12:48
flight twice, it's usually not exactly
12:50
the same path. And there are other
12:52
reasons, but the primary one is
12:54
that the airline is using weather information,
12:56
weather predictions to route the plane
12:58
in a way that uses the least
13:00
amount of So you're not flying
13:02
directly into the strongest headwind, for example.
13:04
So that's a case where, you
13:06
know, obviously aviation safety depends on weather,
13:08
but also just efficiency. Saving money,
13:11
burning less fuel, economic efficiency is one
13:13
of the main things that's driven
13:15
by effective weather forecasts. When
13:20
we come back, remember,
13:22
hurricane season starts
13:24
June 1st. This
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pace, transfer credits and other
15:01
factors. NOAA and its adjacent offices are
15:04
not the only federal departments that
15:06
work on weather and climate research. NASA
15:08
also does and is also
15:10
at risk. something like a
15:12
top -line 50 % cut to
15:14
NASA, for example, is
15:16
in the same budget, which
15:18
would virtually eliminate most Earth science
15:21
and planetary science research. And
15:23
again, the Earth that we live
15:25
on is the subject of
15:27
most planetary science that is funded.
15:29
We live on a planet, by the
15:31
way. So the
15:34
broader picture is that Weather
15:36
and climate science generally advanced
15:38
rapidly over the 20th century
15:40
and has continued to do
15:42
so into the first quarter
15:44
of the 21st. Almost all
15:47
of that advancement in the
15:49
20th century was funded by
15:51
the American government, so through
15:53
taxpayer dollars, through At
15:55
various points in time, depending
15:57
on who sort of the
15:59
organizational structure within the US
16:01
federal service, NOAA or NASA
16:03
or the Department of Energy
16:06
or the National Science Foundation
16:08
or the US Department of
16:10
Agriculture, the three big ones
16:12
for climate are generally NOAA,
16:14
NASA, and also NSF. The
16:16
National Science Foundation. Thank
16:18
you. And these have all been
16:20
in the news in the past
16:22
week for either actual observed and widening
16:26
decimation of research priorities and
16:28
profiles and just the number of
16:30
funded grants or for proposed
16:32
essential elimination of the research that
16:34
they do. So the bigger
16:36
picture is that the U .S.
16:38
It has arguably provided, you know,
16:40
not just a public service
16:42
to Americans, but to the world
16:44
over the decade that it
16:47
heavily invested in weather and climate
16:49
research. Most of the big
16:51
weather models and climate models that
16:53
exist today were developed in
16:55
large part in the United States
16:57
using federal funding, not 100 %
16:59
of course. And now this
17:01
is starting to shift a bit
17:03
as other countries are now
17:05
preferentially investing more. The fact that
17:07
we have good weather forecasts
17:09
is largely because the United States
17:12
government invested in that capacity
17:14
for decades, and all of that
17:16
is essentially at risk of
17:18
coming to a grinding halt. I
17:20
want to talk a
17:22
little bit about the follow
17:24
-on impacts of some of
17:26
the models created by the
17:29
National Weather Service to
17:31
generate hourly and daily weather
17:33
forecasts. We talked about
17:35
transportation, we talked
17:37
about the airline sector,
17:39
but you know,
17:42
farmers, water managers,
17:44
people who work in agriculture. There
17:46
are a lot
17:49
of industries that rely
17:51
on accurate forecasting. Is
17:54
it possible to
17:56
spin out whether
17:58
accurate forecasting will
18:00
exist? how
18:03
it may or may
18:05
not keep pace with
18:07
extreme weather events over
18:09
the spring and summer?
18:13
Well, I think every single
18:15
industry on earth depends on
18:17
accurate weather predictions, whether people
18:19
who operate in those industries realize it
18:21
or not. But also, even just day to
18:23
day, I think there's so much that
18:26
goes on behind the scenes with electricity
18:28
markets and heating and cooling and logistics
18:30
and the distribution of goods getting, you know,
18:32
you just getting from one place to another.
18:34
I mean, just think about your own daily
18:36
life in deciding what you're going to
18:38
wear for the day. When am I going
18:40
to leave for work? Is the bus going
18:42
to be late? Is there going to be
18:45
bad traffic on the freeway? Is my
18:47
flight going to be delayed? And
18:49
so it's everywhere ubiquitously,
18:51
whether we recognize it or
18:53
not. And I think,
18:56
in fact, it's so embedded in everything
18:58
that it almost has become one
19:00
of those things that is truly indispensable
19:02
and yet is often invisible precisely
19:04
because it is so deeply integrated into
19:06
everything we do every day. So,
19:09
you know, I can't imagine
19:11
that there's a future where we
19:13
don't have weather forecasts in
19:15
the US. I don't think that's
19:17
realistically what's going to happen.
19:19
If for no other reason than
19:21
there's just such an extreme economic
19:24
need for basic functionality
19:26
of society. But
19:28
could they become severely degraded and
19:30
could they become degraded in
19:32
a way that is preferentially problematic
19:34
during destructive or extreme events?
19:36
I think that's very much a
19:38
possibility. Do we
19:41
stop having progress in improving
19:43
weather predictions and understanding
19:45
climate change? On our
19:47
current trajectory, that's very much a
19:49
possibility. Do we seed leadership? Historically,
19:52
the United States was arguably
19:54
the global leader in understanding the
19:56
weather and climate in our
19:58
global atmosphere. The US is not
20:00
the only country that tracks weather on
20:02
a global scale. The European
20:05
Center for Medium Range Weather Forecasts provides
20:07
this information and is supported by
20:09
most countries in Europe. But what they
20:11
don't have are specialized tornado and
20:13
seabird thunderstorm models for the US Great
20:15
Plains, or specialized hurricane models for
20:17
the Gulf Coast, like the Weather Service
20:19
and NOAA does because that's the
20:21
kind of problems that we have in
20:23
this particular country. And, you
20:25
know, that's not something that's necessarily in
20:27
the interest of other countries to do
20:29
a really good job predicting exactly whether
20:31
a hurricane is going to make landfall
20:34
near Houston or western Louisiana or whether
20:36
a tornado outbreak is going to affect
20:38
western Nebraska. That could go away too.
20:40
You know, there's a proposal to close
20:42
a lot of these field offices and
20:44
consolidate in a place like DC, for
20:46
example. So. There is much
20:49
to be lost, even though, you know,
20:51
I don't think it's the end of
20:53
weather forecasting. I think that would be,
20:55
but, you know, is it, could it
20:57
spell the end of American leadership in
20:59
weather forecasting and climb prediction? It could.
21:01
Could it mean that Americans have worse
21:03
weather predictions and less reliable, severe weather
21:05
warnings than we've become accustomed to and
21:07
that our economy and our daily lives
21:09
have sort of integrated and take for
21:11
granted? I think that that is a
21:13
distinct possibility on our current path. I
21:15
covered. the aftermath of Hurricane
21:17
Katrina and Hurricane Rita. And
21:20
it is not lost on
21:22
me that Atlantic hurricane season starts
21:24
June 1st. Listening to you, it
21:27
also sounds like Americans
21:29
may die because of this.
21:31
Is that going too
21:33
far? Is that saying too
21:35
much? No, I
21:37
don't think that's an exaggeration. Given
21:40
the cuts that have already occurred, but
21:42
especially given the cuts that appear to
21:44
still be coming, larger
21:47
ones, it is highly plausible
21:49
that there will eventually be cases where
21:51
people will die who didn't have to
21:53
die, who would not have died. Were
21:55
there a better prediction or a
21:57
more timely warning or something like that?
22:00
And it's difficult to predict exactly
22:02
where and when, and we probably won't
22:04
ever be able to quantify it
22:06
exactly because, you know, in a particular
22:08
severe weather event, unfortunately, even with
22:10
the best forecast, sometimes there are still
22:12
casualties. But It's very likely that
22:14
as you start to degrade predictive capacity,
22:16
if you have fewer observations upstream
22:18
going into these predictive models to provide
22:20
these forecasts, and if you then
22:22
also have fewer personnel with their eyes
22:24
glued to the radar screen, or
22:26
if the radar screen is empty because
22:28
the radar went down and there's
22:30
no one available to fix it, which
22:32
is, these are all examples of
22:35
things that are actually happening right now.
22:37
that if they happen in the wrong place
22:39
at the wrong time, which is becoming
22:41
increasingly likely the longer these cuts persist or
22:43
the deeper they become, then yes, that
22:45
is likely to be an outcome eventually, as
22:47
much as I hate to say it. If
22:51
you are listening
22:53
to this and you
22:55
are scared or
22:57
horrified and you don't
22:59
know what to
23:01
do, are
23:03
there things you suggest? I
23:07
think this is
23:09
one interesting area where
23:11
despite the chaos
23:13
and all the N
23:16
-Rens around the usual
23:18
guardrails and the
23:20
usual constraints to rapid
23:22
shifts that are
23:25
not approved by Congress,
23:28
There does appear to still be a very
23:30
important role for public pressure in this
23:32
I know a lot of people have been
23:34
in contact in their local Congress people
23:36
many of whom really just have not been
23:38
aware in some cases some are more
23:40
aware than others but a lot of them
23:42
have not been aware of the scope
23:45
of the actual proposed cuts or why they're
23:47
so critically important and what is what
23:49
is at stake what is directly at stake
23:51
like as soon as you know the
23:53
coming days and weeks potentially And
23:55
this has been true, to my understanding,
23:57
both in red and blue states and
23:59
red and blue parts of red and
24:01
blue states, where there's just not a
24:03
lot of understanding of the importance of
24:05
the water service, the
24:07
fact that it is essentially a
24:10
world -class public utility that, you know,
24:12
of a quality that doesn't really
24:14
exist in any other country, the
24:16
U .S. has it, and we're
24:18
trying really hard to keep it.
24:20
In many ways, it's the envy
24:22
of the world in terms of
24:25
meteorological services. So understanding that,
24:28
this is a case where there's
24:30
already been some reversals of
24:32
cuts, at least temporarily, on the
24:34
basis essentially of public pressure. I
24:37
think the diplomatic term being used
24:39
by NOAA is an outpouring of public
24:41
support, which is true, actually, but
24:43
Also what it really means is that
24:45
a lot of people got angry
24:47
and talked to the right people about
24:49
it. The only silver lining I
24:51
can think of to unilateral decision making
24:53
is that I suppose those decisions
24:56
can be reversed quickly too. So
24:58
I think that's one big piece
25:00
of this is talk about it,
25:02
talk to your local and congressional
25:04
representatives about what the value is,
25:06
why it's so important, to
25:09
the economy, why it's
25:11
so important to protect the lives
25:13
and the communities that you live
25:15
in and care about, and
25:17
why it would just
25:19
be massively inefficient and
25:21
wasteful to get rid
25:23
of this hugely effective
25:25
and massively beneficial system
25:27
that we've got. Daniel
25:35
Swain, as always, I'm
25:37
really grateful for your time and thank you for coming on. Thanks
25:40
again for having me back. Daniel
25:44
Swain is a weather and
25:46
climate scientist with the University
25:48
of California Agriculture and Natural
25:50
Resources. And that's it for
25:52
our show today. What Next TBD is
25:54
produced by Shayna Roth, Patrick Fort and
25:56
Evan Campbell. Our show is edited by
25:58
Rob Gunther. Slate is
26:00
run by Hilary Fry, and TBD is
26:02
part of the larger What Next family. And
26:05
if you're looking for even more Slate
26:07
to listen to, you should subscribe to
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Slate Plus. You will get access to
26:12
more TBD stories, including our special twice
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a month bonus episodes. Those
26:16
are called The Discourse. All right,
26:18
we'll be back next week with more episodes.
26:20
I'm Lizzie O 'Leary. Thanks for listening.
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