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♪ ♪
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00:00:09,100 --> 00:00:11,133
NARRATOR:
September 2024.
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Torrential rain
hits North Carolina,
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triggering flash floods
that surge down valleys...
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MAN:
Holy...
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NARRATOR:
...and destroy buildings.
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MAN:
It just ripped it in half.
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TRISHA PALMER:
Nobody in this part
of the country
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has ever seen anything
like this before.
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It was devastating.
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(thunder rumbling)
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NARRATOR:
One month later, in Spain,
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a massive flood hits Valencia.
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ANDRIES KLARENBERG:
Everything was flooded
with three feet of water,
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which was pushing cars
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down the streets,
into buildings.
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MAN
(speaking Spanish):
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NARRATOR:
The flood kills more
than 200 people.
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HANNAH CLOKE:
Something went wrong
in this flood.
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We know that the flood
forecasting and warning system
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didn't work
as it should have done.
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NARRATOR:
Then in Central Texas,
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on the 4 of July 2025...
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...deadly floods kill
over 130 people.
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(rushing water)
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Are flash floods
becoming more frequent?
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MAN
(speaking Spanish):
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NARRATOR:
And more devastating?
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There was a cascading
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and compounding effect
of this storm
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which I fear is a harbinger
of things to come.
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NARRATOR:
What can we do
to protect ourselves
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from these deadly inundations?
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MAN
(speaking Spanish):
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NARRATOR:
"Superfloods,"
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right now on "NOVA."
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♪ ♪
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♪ ♪
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NARRATOR:
On the 4 of July
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2025, an intense thunderstorm
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in central Texas
generates floods that kill
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more than 130 people, including
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at least 39 children.
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It's the deadliest
inland flooding
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in the United States
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in nearly half a century.
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But this shocking disaster
isn't an isolated event.
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In the preceding 12 months,
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two other record-breaking storms
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also produced
devastating floods:
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one in North Carolina,
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the other in Europe.
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Altogether, the three storms
leave over 450 people dead.
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What can we learn
from these disasters
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to better
protect us in the future?
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(woman shouting in Spanish)
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♪ ♪
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Asheville, North Carolina.
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It's a popular tourist
destination.
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Around 14 million people
visit the city every year
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to enjoy its vibrant
arts and culture...
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...historic buildings...
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...and spectacular mountain
scenery.
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Asheville's location,
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over 250 miles from the coast
and 2,000 feet
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up in the Blue Ridge Mountains
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puts it far from the storm
surges of Atlantic hurricanes.
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Which made many people think
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it was relatively safe
from extreme weather.
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(fishing line whizzing)
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But that all changed
in the autumn of 2024.
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♪ ♪
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Wednesday, September 25.
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Torrential rain
pummels North Carolina,
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and it looks like
it's about to get worse.
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For eight days,
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meteorologists have been
monitoring a weather system
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coming in from the Gulf.
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PALMER:
By midday Monday,
we had what we call
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a potential tropical cyclone.
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Nothing is actually formed,
but something is going to form.
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And already then
we were talking about
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significant heavy rainfall.
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NARRATOR:
By Wednesday morning,
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the tropical cyclone
has been named Helene
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and grown into a hurricane.
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Its predicted track puts it
on a course
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toward western North Carolina--
and Asheville.
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The city sits at
the junction of two rivers:
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the French Broad
and the Swannanoa.
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On Wednesday afternoon,
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the National Weather Service
issues
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a worrying forecast.
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PALMER:
We had a river forecast,
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and our hydrologist put in there
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the potential for
"ruinous flooding"
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along the French Broad
and Swannanoa rivers.
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He put in there
this has the potential to be
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"once-in-a-lifetime" flooding.
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"Consider relocating"
if you live
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along the French Broad
and Swannanoa Rivers.
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We were very concerned,
and quite frankly,
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getting very scared
at that point.
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NARRATOR:
But the trouble starts
even before Hurricane Helene
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reaches North Carolina.
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On Thursday afternoon,
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the eye of Helene is still
500 miles away in the Gulf,
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but in Asheville,
after two days of heavy rain,
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the French Broad River
is already beginning to flood.
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00:06:09,766 --> 00:06:13,433
That night, at 11:10,
Helene makes landfall
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on the Florida coast
as a category 4 storm.
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Through the night,
it tracks north,
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and in the early hours
of Friday morning,
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dumps more rain onto Asheville
and the surrounding mountains.
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Eight miles east of Asheville
lies the town of Swannanoa,
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named after the river that
flows through it.
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On Friday morning,
the overnight rain from Helene
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swells the river,
and it rises rapidly.
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Michael Burgin is at home with
his partner and 18 year-old son,
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when water starts
flooding their street.
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BURGIN:
It was around 7:30
in the morning,
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I did get an alert on my phone
saying to evacuate.
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At that time,
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00:07:04,733 --> 00:07:07,233
the water was about halfway
up our cars outside.
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00:07:07,233 --> 00:07:09,966
So evacuating
didn't seem possible.
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00:07:09,966 --> 00:07:12,333
Our idea was to go
up to the attic first.
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NARRATOR:
But the water continues to rise.
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BURGIN:
We were up in
the attic for a while.
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The water started sloshing
into the attic a little bit,
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and we didn't
want to get trapped.
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So, we decided to swim down
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into our kitchen.
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00:07:29,566 --> 00:07:32,233
NARRATOR:
With water nearly up
to the ceiling,
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they try to escape
through the windows.
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BURGIN:
We were going up
and getting air
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and then swimming down
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00:07:38,800 --> 00:07:40,766
and trying
to get the windows open.
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And neither
one of them would budge.
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And then eventually my son was
able to break the window open.
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We swam through the window
and then got up on our roof.
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♪ ♪
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NARRATOR:
14 miles downstream,
the floodwater flowing down
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the Swannanoa,
reaches Asheville.
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♪ ♪
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CHRIS FABER:
I was on a corner unit
that basically
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looked right up the river.
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Early afternoon,
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mid-afternoon is when it,
it started rising a lot faster.
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When it started to flood
the first floor apartments,
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everybody on
the second floor was like,
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"Oh man, like, that's crazy."
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And then
it hit the second floor.
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(on camera):
Oh, my god!
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(voiceover):
It kept coming and kept coming.
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At first it was just
random debris, you know,
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litter, trash, or some tires,
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street signs.
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By 1:00 or so,
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we started to see box trucks,
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and shipping containers,
and really quite large stuff.
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♪ ♪
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We could see these things
coming a ways away,
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and it just
felt like slow motion.
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It literally folded
a giant shipping container,
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like tin foil.
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It just wrapped around it.
Unbelievable.
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It was pretty terrifying
because everything looked like
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00:09:13,400 --> 00:09:16,800
it was going to hit us,
and then kind of last minute,
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it would whoosh its way out
into the river.
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(on camera):
Oh, come on baby, miss us.
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(voiceover):
Certainly,
the scariest one was seeing
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entire buildings
coming down the river.
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NARRATOR:
This isn't just a roof;
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this is the entire
Asheville Tea Company building.
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WOMAN:
It didn't hit us.
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FABER:
Holy...
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...it just ripped it in half.
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♪ ♪
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NARRATOR:
Upstream, in Swannanoa,
floodwater continues
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to pour through
Michael's neighborhood.
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BURGIN:
We were on the roof for a total
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of about three hours.
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We started hearing
foundations cracking,
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It was very surreal
and very scary.
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NARRATOR:
Eventually,
neighbors in kayaks
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carry Michael
and his family to safety.
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In the mid-afternoon,
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the flood reaches its peak.
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All along the Swannanoa river,
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it has devastated communities.
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On the morning of Saturday,
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September 28,
the people of western
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00:10:32,800 --> 00:10:35,833
North Carolina wake up
to scenes of devastation.
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FABER:
It looked like
a bomb had gone off.
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I mean the destruction
is incredible.
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Overturned cars
stacked on top of each other.
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Incredible depth of just mud
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that you had to kind of really
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work your way to get through.
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00:10:55,266 --> 00:10:57,500
Streets that were
just ripped up.
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It completely
changed the landscape.
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00:11:04,366 --> 00:11:07,900
NARRATOR:
On Michael's street,
everything is filled with mud.
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00:11:10,333 --> 00:11:12,833
BURGIN:
The water went down
remarkably fast.
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00:11:12,833 --> 00:11:15,000
Most things were destroyed,
obviously.
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00:11:16,533 --> 00:11:18,900
It just was really upsetting.
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00:11:21,733 --> 00:11:23,900
NARRATOR:
The flash floods
smashed through buildings,
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00:11:23,900 --> 00:11:28,000
swept away vehicles,
and destroyed roads
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00:11:28,000 --> 00:11:29,400
and bridges.
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00:11:29,400 --> 00:11:31,533
In the hills, the rain
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00:11:31,533 --> 00:11:35,066
triggered landslides that
buried homes and cut off roads.
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As the search
begins for the missing,
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00:11:39,866 --> 00:11:41,633
people want to know:
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00:11:41,633 --> 00:11:45,466
why did this happen here
and now?
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00:11:47,033 --> 00:11:49,733
This was not the first time
Asheville flooded.
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00:11:51,500 --> 00:11:54,033
In July 1916, the tail end
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of a hurricane hit western
North Carolina,
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00:11:56,600 --> 00:11:59,400
followed by another hurricane
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00:11:59,400 --> 00:12:02,766
nine days later
dumping heavy rain on the city.
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00:12:04,866 --> 00:12:07,866
The resulting flood
killed about 80 people.
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00:12:09,366 --> 00:12:10,366
It became known
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00:12:10,366 --> 00:12:13,300
as the Great Flood of 1916.
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Despite its mountain location
far from the coast,
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00:12:18,600 --> 00:12:22,333
Asheville's geography actually
makes it vulnerable to floods.
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00:12:25,000 --> 00:12:27,066
Parts of the city
run along valleys,
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00:12:27,066 --> 00:12:30,333
close to the French Broad
and Swannanoa rivers...
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00:12:31,633 --> 00:12:34,766
...and the mountains around
the town help generate rain.
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00:12:37,066 --> 00:12:39,833
PALMER:
Western North Carolina,
upstate South Carolina,
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00:12:39,833 --> 00:12:43,600
it's got a unique feature called
the Blue Ridge Escarpment.
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00:12:43,600 --> 00:12:47,100
The terrain rises very rapidly.
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00:12:47,100 --> 00:12:51,300
So you have this air
that's being lifted up against
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00:12:51,300 --> 00:12:54,566
the Blue Ridge Escarpment
and as the warm air rises,
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00:12:54,566 --> 00:12:56,600
it condenses
and it starts raining,
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00:12:56,600 --> 00:12:59,300
and it just all starts
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00:12:59,300 --> 00:13:02,266
routing down from this creek
to this creek to this creek.
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00:13:02,266 --> 00:13:05,366
Eventually, the larger streams
start rising.
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00:13:06,500 --> 00:13:08,200
And this is where they live.
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00:13:10,966 --> 00:13:14,966
NARRATOR:
This landscape helped create
the Great Flood of 1916.
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00:13:16,833 --> 00:13:21,033
But the flood of 2024
was even worse.
239
00:13:22,233 --> 00:13:26,000
In Asheville, the Swannanoa
River peaked over five feet
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00:13:26,000 --> 00:13:29,500
higher than
the level reached in 1916.
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00:13:31,900 --> 00:13:34,033
PALMER:
Nobody in this part
of the country
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00:13:34,033 --> 00:13:36,933
that's alive has ever seen
anything like this before.
243
00:13:36,933 --> 00:13:39,000
It was devastating.
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00:13:40,733 --> 00:13:44,466
NARRATOR:
So why was this flood
so extreme?
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00:13:44,466 --> 00:13:49,166
A clue comes in the form
of another disaster.
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00:13:49,166 --> 00:13:51,000
On the other side of
the Atlantic.
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00:13:54,566 --> 00:13:57,733
Just a month after
the floods in North Carolina,
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00:13:57,733 --> 00:14:00,733
a deadly storm
hit Valencia in Spain.
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00:14:03,700 --> 00:14:06,566
Like Asheville,
Valencia is a popular
250
00:14:06,566 --> 00:14:10,066
tourist destination...
but the landscape here
251
00:14:10,066 --> 00:14:11,533
is different.
252
00:14:12,666 --> 00:14:15,733
The city sits between
low-lying mountains and the sea.
253
00:14:16,966 --> 00:14:18,733
Rain is rare.
254
00:14:18,733 --> 00:14:20,533
The ravines that run
255
00:14:20,533 --> 00:14:23,966
through the nearby towns
are usually dry.
256
00:14:23,966 --> 00:14:27,900
But when big storms occur,
they have been known to flood.
257
00:14:30,666 --> 00:14:34,133
October 29, 2024.
258
00:14:35,466 --> 00:14:37,466
Meteorologists across Europe
259
00:14:37,466 --> 00:14:39,533
are growing concerned about
260
00:14:39,533 --> 00:14:41,333
an approaching weather system.
261
00:14:43,533 --> 00:14:45,133
This was going
to be an extreme event.
262
00:14:45,133 --> 00:14:46,933
This was going to be dangerous,
this was going
263
00:14:46,933 --> 00:14:49,133
to be something that was going
to have a high impact
264
00:14:49,133 --> 00:14:50,800
for the people in the region.
265
00:14:52,633 --> 00:14:55,800
By the morning
of Tuesday the 29 of October,
266
00:14:55,800 --> 00:14:58,766
a red warning had
been issued at about 7:00 A.M.
267
00:14:59,766 --> 00:15:03,533
Red warnings mean
that there is a danger to life.
268
00:15:03,533 --> 00:15:05,633
♪ ♪
269
00:15:05,633 --> 00:15:09,166
NARRATOR:
On Valencia's coast,
a strong wind whips up
270
00:15:09,166 --> 00:15:11,433
the Mediterranean sea,
271
00:15:11,433 --> 00:15:13,333
but there's hardly any rain.
272
00:15:15,333 --> 00:15:18,366
However, inland,
heavy rain is falling
273
00:15:18,366 --> 00:15:21,266
in the hills,
and collecting in valleys.
274
00:15:26,366 --> 00:15:29,000
Just south of Valencia,
a ravine,
275
00:15:29,000 --> 00:15:31,433
called the Rambla del Poyo,
276
00:15:31,433 --> 00:15:35,766
runs from the mountains
toward the Mediterranean.
277
00:15:35,766 --> 00:15:37,700
Over half a dozen communities,
278
00:15:37,700 --> 00:15:41,466
including the town of Paiporta,
line its banks.
279
00:15:43,500 --> 00:15:46,700
More are dotted in
the surrounding flood plain.
280
00:15:48,433 --> 00:15:52,233
Over 200,000 people
live along the ravine.
281
00:15:56,133 --> 00:15:58,800
♪ ♪
282
00:15:58,800 --> 00:16:01,600
Shortly after 2:00 P.M.
local time,
283
00:16:01,600 --> 00:16:04,200
water flowing down the
Rambla del Poyo
284
00:16:04,200 --> 00:16:06,833
reaches the town of Paiporta.
285
00:16:08,233 --> 00:16:11,100
It carries a wave of debris.
286
00:16:11,100 --> 00:16:14,066
Within a few minutes,
the dry ravine
287
00:16:14,066 --> 00:16:17,366
becomes a powerful,
fast-flowing river.
288
00:16:23,066 --> 00:16:27,866
In the afternoon, the rain in
the hills intensifies rapidly.
289
00:16:28,833 --> 00:16:30,233
BENTLEY:
During the height of the storm,
290
00:16:30,233 --> 00:16:34,700
one location recorded
771 millimeters of rain,
291
00:16:34,700 --> 00:16:37,433
which is about
two and a half feet of rainfall,
292
00:16:37,433 --> 00:16:40,766
falling over
a space of 14 hours.
293
00:16:43,700 --> 00:16:45,633
NARRATOR:
Shortly after 5:00 P.M.,
294
00:16:45,633 --> 00:16:49,433
flash flooding engulfs a town
near the top of the ravine.
295
00:16:52,200 --> 00:16:55,733
At 6:28 P.M., in Paiporta,
296
00:16:55,733 --> 00:17:00,166
the river overflows its banks
and rapidly floods the streets.
297
00:17:03,266 --> 00:17:04,600
KLARENBERG:
All the neighbors,
298
00:17:04,600 --> 00:17:06,133
in the entire area,
299
00:17:06,133 --> 00:17:10,133
started bringing their cars up
out of the underground parking.
300
00:17:10,133 --> 00:17:12,233
That was very strange.
301
00:17:13,600 --> 00:17:15,466
NARRATOR:
Residents here
know what will happen
302
00:17:15,466 --> 00:17:17,466
if the river floods basements.
303
00:17:17,466 --> 00:17:19,200
(horns honking)
304
00:17:19,200 --> 00:17:20,400
In towns along
305
00:17:20,400 --> 00:17:21,966
the river's banks,
306
00:17:21,966 --> 00:17:24,066
they race to save their cars.
307
00:17:25,833 --> 00:17:27,966
KLARENBERG:
There was a lot of noise.
People shouting.
308
00:17:27,966 --> 00:17:30,100
Every spare meter
309
00:17:30,100 --> 00:17:32,466
of pavement, courtyard,
310
00:17:32,466 --> 00:17:36,766
grass was filled with
the cars from the neighborhood.
311
00:17:38,066 --> 00:17:42,066
DANIEL BURGUET
(speaking Spanish):
312
00:18:03,566 --> 00:18:05,766
NARRATOR:
The storm that devastated
the communities
313
00:18:05,766 --> 00:18:08,866
around the Valencia region
was unprecedented,
314
00:18:08,866 --> 00:18:12,600
breaking the record for the most
rain to fall in Spain
315
00:18:12,600 --> 00:18:14,600
during a 12 hour period.
316
00:18:14,600 --> 00:18:16,133
(thunder rumbling)
317
00:18:17,200 --> 00:18:21,300
What caused so much rain to fall
in such a short time?
318
00:18:25,300 --> 00:18:27,166
The answer is a weather system
319
00:18:27,166 --> 00:18:30,266
meteorologists call a
"cut-off low."
320
00:18:34,800 --> 00:18:38,100
A cut-off low can form
when an area of cold,
321
00:18:38,100 --> 00:18:41,900
low pressure air gets cut off
from the flow of the jet stream.
322
00:18:43,900 --> 00:18:47,466
This high altitude rotating
mass of low-pressure air
323
00:18:47,466 --> 00:18:50,400
can draw in moist air
from below.
324
00:18:52,666 --> 00:18:54,066
The fact that they are cut off
325
00:18:54,066 --> 00:18:56,000
from the main flow in the
atmosphere
326
00:18:56,000 --> 00:18:58,700
means that they sit in one
location
327
00:18:58,700 --> 00:19:01,366
and pump moisture into
the same region
328
00:19:01,366 --> 00:19:04,100
for several hours to days,
even up to a week.
329
00:19:05,766 --> 00:19:09,800
NARRATOR:
When cut-off lows interact with
a plentiful supply of moist air,
330
00:19:09,800 --> 00:19:14,333
such as a warm ocean,
they can become dangerous.
331
00:19:14,333 --> 00:19:16,333
That summer,
332
00:19:16,333 --> 00:19:19,766
the Mediterranean sea reached
record high temperatures.
333
00:19:20,900 --> 00:19:23,666
SHEPHERD:
You have cold air
in this cut-off low,
334
00:19:23,666 --> 00:19:26,533
but the Mediterranean waters
are quite warm.
335
00:19:26,533 --> 00:19:30,400
That leads to a very unstable
atmosphere
336
00:19:30,400 --> 00:19:32,466
that can produce rising air,
337
00:19:32,466 --> 00:19:35,966
condensation, and a lot of
rainfall ultimately.
338
00:19:37,333 --> 00:19:41,000
NARRATOR:
Beneath the cut-off low, warm,
moist air at the surface
339
00:19:41,000 --> 00:19:44,933
rises rapidly,
drawing in more warm air,
340
00:19:44,933 --> 00:19:48,500
full of water vapor,
from the Mediterranean.
341
00:19:48,500 --> 00:19:52,933
This rapid uplift
generates huge thunderstorms.
342
00:19:52,933 --> 00:19:55,100
(lightning strikes,
thunder rumbling)
343
00:19:55,100 --> 00:19:57,333
SHEPHERD:
When you have sustained
moisture flow
344
00:19:57,333 --> 00:19:59,700
and the dynamics associated
345
00:19:59,700 --> 00:20:03,866
with a cut-off low, that leads
oftentimes to extreme rainfall.
346
00:20:05,800 --> 00:20:07,433
NARRATOR:
In North Carolina,
347
00:20:07,433 --> 00:20:09,200
the heavy rain
that pummeled Asheville
348
00:20:09,200 --> 00:20:11,100
in the days
before Hurricane Helene arrived
349
00:20:11,100 --> 00:20:14,700
was also caused,
in part,
350
00:20:14,700 --> 00:20:16,466
by a cut-off low.
351
00:20:19,700 --> 00:20:22,800
SHEPHERD:
The convergence of many factors
produced a rainfall machine.
352
00:20:23,900 --> 00:20:25,100
One of the factors
353
00:20:25,100 --> 00:20:28,066
with this particular case
was a cut-off low.
354
00:20:28,066 --> 00:20:30,466
The way that low was situated,
355
00:20:30,466 --> 00:20:33,700
it allowed moisture to flow
into parts of Georgia
356
00:20:33,700 --> 00:20:37,066
and North Carolina
essentially creating a funnel
357
00:20:37,066 --> 00:20:40,033
of moisture
feeding these rain storms.
358
00:20:40,033 --> 00:20:42,900
♪ ♪
359
00:20:42,900 --> 00:20:46,400
NARRATOR:
While Hurricane Helene
was developing in the Gulf,
360
00:20:46,400 --> 00:20:50,066
the cut-off low formed
over Western Tennessee.
361
00:20:52,733 --> 00:20:55,166
This low-pressure system
sucked in air,
362
00:20:55,166 --> 00:20:58,700
laden with water vapor,
from the Gulf and Atlantic.
363
00:21:01,733 --> 00:21:04,500
As this rose over
the Blue Ridge mountains,
364
00:21:04,500 --> 00:21:07,866
it triggered thunderstorms
and torrential rain.
365
00:21:10,100 --> 00:21:13,966
Meteorologists call this a
predecessor rain event.
366
00:21:16,400 --> 00:21:21,033
PALMER:
A predecessor rainfall event
is when you have rainfall
367
00:21:21,033 --> 00:21:24,700
that is distinctly separate
from the tropical system,
368
00:21:24,700 --> 00:21:28,133
but it involves moisture that is
being pulled up
369
00:21:28,133 --> 00:21:29,900
from the tropical system,
370
00:21:29,900 --> 00:21:33,100
so it saturates the ground
ahead of the storm.
371
00:21:33,100 --> 00:21:35,733
And so by the time
the storm gets there,
372
00:21:35,733 --> 00:21:38,366
everything is set up
for a disaster.
373
00:21:40,366 --> 00:21:44,133
NARRATOR:
On Wednesday and Thursday,
before Helene arrived,
374
00:21:44,133 --> 00:21:47,900
the cut-off low brought
heavy rain into North Carolina.
375
00:21:51,066 --> 00:21:53,433
By Thursday afternoon,
when Helene was
376
00:21:53,433 --> 00:21:56,466
still 500 miles away
in the Gulf,
377
00:21:56,466 --> 00:21:58,433
the French Broad River in
Asheville
378
00:21:58,433 --> 00:22:00,366
was already flooding.
379
00:22:01,600 --> 00:22:04,800
But then the cut-off low
did something else that helped
380
00:22:04,800 --> 00:22:08,000
turn a moderate flood
into a disaster.
381
00:22:11,800 --> 00:22:14,466
When Hurricane Helene
made landfall,
382
00:22:14,466 --> 00:22:17,600
the winds spiraling around
the cut-off low
383
00:22:17,600 --> 00:22:19,766
pulled the storm toward it.
384
00:22:22,500 --> 00:22:24,600
Downgraded to a tropical storm,
385
00:22:24,600 --> 00:22:27,266
Helene barreled into
the Blue Ridge Mountains
386
00:22:27,266 --> 00:22:29,800
and dropped even more rain
onto Asheville
387
00:22:29,800 --> 00:22:31,866
and the surrounding area.
388
00:22:35,200 --> 00:22:37,733
PALMER:
In portions of the
Black Mountains, we had
389
00:22:37,733 --> 00:22:41,666
seven to ten inches
of rain leading up to Helene,
390
00:22:41,666 --> 00:22:45,333
and then we had over
a foot of rain with Helene.
391
00:22:45,333 --> 00:22:49,566
And as it just keeps raining,
keeps raining, keeps raining...
392
00:22:49,566 --> 00:22:51,366
...again, it just set up for,
393
00:22:51,366 --> 00:22:53,600
for just a
horrific, horrific event.
394
00:22:55,433 --> 00:22:59,233
NARRATOR:
The extreme rainfall
in North Carolina, Valencia,
395
00:22:59,233 --> 00:23:02,466
and Texas,
and the floods that followed,
396
00:23:02,466 --> 00:23:06,600
had devastating consequences
for people and property.
397
00:23:08,733 --> 00:23:12,566
Three historically devastating
floods in the space of a year.
398
00:23:12,566 --> 00:23:16,866
Just a coincidence?
Or is a new pattern emerging?
399
00:23:19,000 --> 00:23:21,300
SHEPHERD:
We know that all across
the United States,
400
00:23:21,300 --> 00:23:24,300
the rate at which rain falls
is more intense.
401
00:23:24,300 --> 00:23:27,600
And that's related to
a basic physics understanding.
402
00:23:27,600 --> 00:23:30,233
As the atmosphere warms,
there's more water vapor
403
00:23:30,233 --> 00:23:31,433
available to the storms.
404
00:23:31,433 --> 00:23:33,866
(thunder rumbling)
405
00:23:33,866 --> 00:23:35,766
NARRATOR:
For every degree Fahrenheit
406
00:23:35,766 --> 00:23:39,033
that the atmosphere warms,
the air can hold
407
00:23:39,033 --> 00:23:41,700
3% to 4% more water vapor.
408
00:23:43,200 --> 00:23:45,300
Since pre-industrial times,
409
00:23:45,300 --> 00:23:47,800
our atmosphere has warmed about
410
00:23:47,800 --> 00:23:50,233
two degrees,
so it can absorb about
411
00:23:50,233 --> 00:23:53,333
7% more water vapor
than it used to.
412
00:23:54,966 --> 00:23:57,400
This means that,
in some storms,
413
00:23:57,400 --> 00:24:00,966
heavy rain will be more intense
than in the past.
414
00:24:04,400 --> 00:24:05,933
Rising sea temperatures
415
00:24:05,933 --> 00:24:09,133
can also add more water vapor
to the atmosphere
416
00:24:09,133 --> 00:24:13,600
because water evaporates faster
at higher temperatures.
417
00:24:16,300 --> 00:24:17,833
SHEPHERD:
There is certainly
418
00:24:17,833 --> 00:24:20,666
a relationship between warming
water temperatures,
419
00:24:20,666 --> 00:24:23,033
perhaps in
the Mediterranean or the Gulf,
420
00:24:23,033 --> 00:24:27,833
and the intensity and amount
of rainfall in cut-off lows.
421
00:24:30,000 --> 00:24:32,800
NARRATOR:
The warm water in the Gulf
provided the energy
422
00:24:32,800 --> 00:24:36,333
that raised Helene
to a category 4 hurricane.
423
00:24:38,600 --> 00:24:40,500
Hurricanes get their fuel
from the oceans,
424
00:24:40,500 --> 00:24:41,866
and that's a warm ocean.
425
00:24:41,866 --> 00:24:43,666
And one of the things
that we're increasingly seeing
426
00:24:43,666 --> 00:24:46,600
is warm sea surface
temperatures;
427
00:24:46,600 --> 00:24:48,800
marine heat waves.
428
00:24:48,800 --> 00:24:51,166
And so, these storms are
stronger as they're moving in
429
00:24:51,166 --> 00:24:53,566
and they're producing
greater amounts of rainfall.
430
00:24:55,900 --> 00:24:58,200
NARRATOR:
In July 2025,
431
00:24:58,200 --> 00:25:01,566
high levels of water vapor
in the atmosphere above Texas
432
00:25:01,566 --> 00:25:04,966
contributed to America's
deadliest inland flood
433
00:25:04,966 --> 00:25:07,433
in nearly half a century.
434
00:25:10,100 --> 00:25:12,733
Warm, moist air
from the Gulf moved
435
00:25:12,733 --> 00:25:16,400
over central Texas,
feeding powerful thunderstorms
436
00:25:16,400 --> 00:25:19,966
that soaked the western
Hill Country with heavy rain.
437
00:25:23,300 --> 00:25:25,266
Floods swept down
the Guadalupe River
438
00:25:25,266 --> 00:25:26,533
and surrounding creeks,
439
00:25:26,533 --> 00:25:29,866
leaving death
and destruction behind.
440
00:25:33,866 --> 00:25:36,133
SHEPHERD:
The Texas floods were
a combination of several
441
00:25:36,133 --> 00:25:38,600
meteorological
or weather factors.
442
00:25:38,600 --> 00:25:41,266
That region is known
as Flash Flood Alley.
443
00:25:41,266 --> 00:25:44,733
It's close to the Gulf,
and there was ample moisture
444
00:25:44,733 --> 00:25:47,900
from the Gulf--
a quite warm Gulf by the way--
445
00:25:47,900 --> 00:25:52,300
and you had the remnants
of Tropical Storm Barry
446
00:25:52,300 --> 00:25:54,600
that also was a moisture source.
447
00:25:56,033 --> 00:25:59,000
As meteorologists,
we look for moisture
448
00:25:59,000 --> 00:26:01,133
as a signature
of potential flooding.
449
00:26:01,133 --> 00:26:05,166
And moisture was at
record levels.
450
00:26:05,166 --> 00:26:07,766
It was certainly clear
to forecasters
451
00:26:07,766 --> 00:26:10,133
that this was going to be
a flood event.
452
00:26:10,133 --> 00:26:11,733
NARRATOR:
In Texas,
453
00:26:11,733 --> 00:26:15,933
many weather stations reported
five to ten inches of rain
454
00:26:15,933 --> 00:26:18,400
in less than six hours.
455
00:26:20,900 --> 00:26:23,266
When that rain funneled
into the Guadalupe River,
456
00:26:23,266 --> 00:26:28,533
it rose about 26 feet
in 45 minutes.
457
00:26:28,533 --> 00:26:30,833
The result
was utter devastation.
458
00:26:30,833 --> 00:26:32,800
(wood snapping)
459
00:26:35,533 --> 00:26:37,533
The Texas
and other recent floods
460
00:26:37,533 --> 00:26:40,466
may be a sign of things to come.
461
00:26:42,366 --> 00:26:45,366
Recent studies indicate that,
as global temperatures rise,
462
00:26:45,366 --> 00:26:47,933
the United States will see
463
00:26:47,933 --> 00:26:50,500
an overall increase
in flooding;
464
00:26:50,500 --> 00:26:53,066
especially in the east.
465
00:26:55,466 --> 00:26:58,133
And there's another problem.
466
00:26:58,133 --> 00:27:00,933
As the world's population grows,
467
00:27:00,933 --> 00:27:03,766
more people are living
in areas that flood.
468
00:27:06,866 --> 00:27:07,966
We've got a lot of pressure
469
00:27:07,966 --> 00:27:09,900
to build new houses
all of the time,
470
00:27:09,900 --> 00:27:11,333
and that, of course,
471
00:27:11,333 --> 00:27:13,300
makes it very difficult
472
00:27:13,300 --> 00:27:15,500
to protect those places
such as floodplains,
473
00:27:15,500 --> 00:27:17,200
where we don't really
want people living,
474
00:27:17,200 --> 00:27:19,233
because
they can be dangerous.
475
00:27:19,233 --> 00:27:21,333
Sometimes floods don't
happen for, you know,
476
00:27:21,333 --> 00:27:22,700
a hundred years at a time,
477
00:27:22,700 --> 00:27:24,500
so people will build,
478
00:27:24,500 --> 00:27:25,833
because they think
that there-- you know,
479
00:27:25,833 --> 00:27:27,500
there's nothing
that's going to happen.
480
00:27:27,500 --> 00:27:29,000
But actually,
it is a dangerous place.
481
00:27:31,466 --> 00:27:33,366
NARRATOR:
It's a double threat.
482
00:27:33,366 --> 00:27:36,333
To stay safe,
it's increasingly important
483
00:27:36,333 --> 00:27:38,366
for people to
be aware of the risks.
484
00:27:38,366 --> 00:27:40,633
(buzzing)
485
00:27:40,633 --> 00:27:42,533
But the range of danger
486
00:27:42,533 --> 00:27:45,466
that floods
and heavy rain present
487
00:27:45,466 --> 00:27:47,066
depends a lot on the terrain.
488
00:27:47,066 --> 00:27:49,466
(drone continues buzzing)
489
00:27:49,466 --> 00:27:51,100
In the hills and mountains
around Asheville,
490
00:27:51,100 --> 00:27:55,700
the biggest killer from Helene
was landslides.
491
00:27:57,600 --> 00:28:00,766
The National Oceanic
and Atmospheric Administration
492
00:28:00,766 --> 00:28:03,900
classified
the landslide deaths here
493
00:28:03,900 --> 00:28:07,566
as fatalities from
fresh water flooding.
494
00:28:09,600 --> 00:28:11,433
PHILIP PRINCE:
With this type of landsliding,
495
00:28:11,433 --> 00:28:15,266
what we saw with Helene,
water is the key ingredient.
496
00:28:15,266 --> 00:28:19,033
None of what we saw happen
is going to happen
497
00:28:19,033 --> 00:28:21,933
without a tremendous amount of
water present in the soil.
498
00:28:21,933 --> 00:28:27,833
(water surging)
499
00:28:27,833 --> 00:28:31,300
NARRATOR:
Water from Helene
caused this slide.
500
00:28:31,300 --> 00:28:33,966
Fortunately, no one was hurt.
501
00:28:33,966 --> 00:28:36,600
♪ ♪
502
00:28:36,600 --> 00:28:41,333
PRINCE:
It's absolutely the most
acutely dangerous natural event
503
00:28:41,333 --> 00:28:43,466
that you see in the
Appalachian Mountains,
504
00:28:43,466 --> 00:28:46,000
just because of the speed
with which it moves.
505
00:28:48,600 --> 00:28:51,600
NARRATOR:
13 miles east of Asheville,
506
00:28:51,600 --> 00:28:54,066
the storm left another tragedy
in its wake.
507
00:28:56,033 --> 00:28:59,733
In the small community
of Craigtown,
508
00:28:59,733 --> 00:29:02,333
13 people lost their lives
509
00:29:02,333 --> 00:29:05,666
when a series of landslides
swept down the mountain,
510
00:29:05,666 --> 00:29:07,566
destroying homes.
511
00:29:10,600 --> 00:29:14,533
Geologists Jennifer Bauer
and Philip Prince
512
00:29:14,533 --> 00:29:16,700
are helping compile
an inventory
513
00:29:16,700 --> 00:29:20,000
of the more than 2,000
landslides in North Carolina
514
00:29:20,000 --> 00:29:22,166
triggered by Helene's rain.
515
00:29:24,400 --> 00:29:26,366
Today, they are
climbing to the top
516
00:29:26,366 --> 00:29:28,900
of one of the
Craigtown landslides
517
00:29:28,900 --> 00:29:30,766
to find out what started it.
518
00:29:32,066 --> 00:29:33,300
Can you see anywhere
519
00:29:33,300 --> 00:29:35,400
that might be a ground water
source up here?
520
00:29:35,400 --> 00:29:37,533
Let's look under here.
521
00:29:39,400 --> 00:29:42,866
NARRATOR:
This slide, like most
in North Carolina,
522
00:29:42,866 --> 00:29:46,266
was a type of landslide
known as a debris flow--
523
00:29:46,266 --> 00:29:51,900
a landslide made of soil, rock,
other objects, and water.
524
00:29:53,833 --> 00:29:56,466
So this is what,
like, I don't know,
525
00:29:56,466 --> 00:29:58,766
three feet long?
526
00:29:58,766 --> 00:30:00,000
That's a good way
to concentrate
527
00:30:00,000 --> 00:30:01,733
a lot of ground water
in one spot.
528
00:30:01,733 --> 00:30:03,766
Yeah.
For sure.
529
00:30:03,766 --> 00:30:07,400
NARRATOR:
Debris flows often begin
near the top of a mountain,
530
00:30:07,400 --> 00:30:10,166
where the slopes are steepest.
531
00:30:10,166 --> 00:30:13,866
Rain soaking into the soil
can accumulate as groundwater
532
00:30:13,866 --> 00:30:17,266
high on the mountain.
533
00:30:17,266 --> 00:30:20,233
Underground channels can then
funnel it to one spot.
534
00:30:20,233 --> 00:30:23,366
This is a big hole in the ground
535
00:30:23,366 --> 00:30:26,166
that groundwater
just comes out of,
536
00:30:26,166 --> 00:30:28,333
and groundwater
can find its pathways
537
00:30:28,333 --> 00:30:32,766
through all of the
loose boulders in the soil.
538
00:30:32,766 --> 00:30:35,833
And probably shot out
through the soil right here.
539
00:30:35,833 --> 00:30:37,833
PRINCE:
And with the added push
540
00:30:37,833 --> 00:30:40,966
from that providing almost,
like, groundwater pressure
541
00:30:40,966 --> 00:30:43,333
underneath the ground surface,
542
00:30:43,333 --> 00:30:46,966
it's going to destabilize
the type of soil we have here.
543
00:30:48,766 --> 00:30:52,633
NARRATOR:
The saturated soil here
triggered a debris flow
544
00:30:52,633 --> 00:30:54,000
that traveled
about a mile and a half
545
00:30:54,000 --> 00:30:56,600
before it hit Craigtown.
546
00:30:57,766 --> 00:31:02,566
At approximately
25 miles an hour,
547
00:31:02,566 --> 00:31:05,300
that would only take
about three and a half minutes.
548
00:31:05,300 --> 00:31:09,300
Residents would have had little
warning of what was coming.
549
00:31:13,100 --> 00:31:15,466
Across the southeast,
landslides were
550
00:31:15,466 --> 00:31:18,700
one of Hurricane Helene's
biggest killers.
551
00:31:18,700 --> 00:31:21,000
So, what can people do
552
00:31:21,000 --> 00:31:24,100
to protect themselves
from them?
553
00:31:24,100 --> 00:31:25,733
BAUER:
Watch the National Weather
Service warnings,
554
00:31:25,733 --> 00:31:27,766
and if there's any wording
about landslides,
555
00:31:27,766 --> 00:31:30,100
then to not be within
one of those
556
00:31:30,100 --> 00:31:33,433
debris flow pathways or where
the landslides might start.
557
00:31:33,433 --> 00:31:37,066
There are online landslide maps
available.
558
00:31:37,066 --> 00:31:39,900
The North Carolina Geological
Survey has put some out
559
00:31:39,900 --> 00:31:42,566
so that people can go online
560
00:31:42,566 --> 00:31:44,366
and see if they're in
one of these areas.
561
00:31:44,366 --> 00:31:46,666
And if they are,
562
00:31:46,666 --> 00:31:49,600
they can then go
stay somewhere safe.
563
00:31:52,600 --> 00:31:55,366
NARRATOR:
In Valencia,
the flatter terrain,
564
00:31:55,366 --> 00:31:56,800
and more urban environment,
565
00:31:56,800 --> 00:32:00,666
created a different danger.
566
00:32:00,666 --> 00:32:04,700
Here, cars became death traps.
567
00:32:06,266 --> 00:32:11,566
Safety advice says you should
never drive through flood water,
568
00:32:11,566 --> 00:32:15,500
but for some in Valencia,
there was no way to escape it.
569
00:32:15,500 --> 00:32:18,133
(rain pounding)
570
00:32:18,133 --> 00:32:20,100
KAREN LOFTUS:
We were on the motorway.
571
00:32:20,100 --> 00:32:22,333
It was raining very hard.
572
00:32:22,333 --> 00:32:23,900
I've never been in rain
573
00:32:23,900 --> 00:32:25,233
quite like it.
574
00:32:25,233 --> 00:32:28,900
And the traffic
came to a standstill.
575
00:32:30,133 --> 00:32:33,066
Then we started to see that
576
00:32:33,066 --> 00:32:35,833
the water
wasn't going anywhere,
577
00:32:37,633 --> 00:32:41,100
and it started to rise up
from the motorway.
578
00:32:42,966 --> 00:32:45,166
After about five minutes,
579
00:32:45,166 --> 00:32:47,866
the water started to come in
to the bottom of the car.
580
00:32:47,866 --> 00:32:50,766
(water rushing)
581
00:32:50,766 --> 00:32:52,766
The water continued to rise
582
00:32:52,766 --> 00:32:56,166
to the point that
our car engine did cut out.
583
00:32:57,133 --> 00:32:59,600
STEVEN LOFTUS:
Well, literally, the car
is now floating sideways.
584
00:32:59,600 --> 00:33:01,100
(thunder rumbling)
585
00:33:01,100 --> 00:33:03,400
NARRATOR:
The force of water
pressing around the car
586
00:33:03,400 --> 00:33:05,733
makes it impossible
for Karen and her husband
587
00:33:05,733 --> 00:33:08,866
to open the doors from inside.
588
00:33:08,866 --> 00:33:11,133
KAREN LOFTUS:
Oh, god.
589
00:33:11,133 --> 00:33:13,666
NARRATOR:
Luckily, they had lowered
the windows
590
00:33:13,666 --> 00:33:16,166
before the engine cut out.
591
00:33:19,133 --> 00:33:21,400
KAREN LOFTUS:
Within ten minutes,
592
00:33:21,400 --> 00:33:25,633
I was having to
get out of my car window
593
00:33:25,633 --> 00:33:30,600
into what was a muddy,
freezing cold torrent of water.
594
00:33:30,600 --> 00:33:32,133
(water surging)
595
00:33:32,133 --> 00:33:34,233
There were cars
starting to float,
596
00:33:34,233 --> 00:33:37,333
and some people
had been able to get out
597
00:33:37,333 --> 00:33:39,666
and some people
were still in their cars,
598
00:33:39,666 --> 00:33:43,866
obviously very frightened
and scared.
599
00:33:43,866 --> 00:33:46,533
There was a huge
articulated lorry,
600
00:33:46,533 --> 00:33:48,833
and we just thought,
"we'll just try."
601
00:33:48,833 --> 00:33:51,466
And we banged on the door
of this lorry,
602
00:33:51,466 --> 00:33:56,000
and then this wonderful Moroccan
lorry driver drove us out.
603
00:33:56,000 --> 00:33:58,333
♪ ♪
604
00:33:58,333 --> 00:34:00,666
NARRATOR:
They were lucky.
605
00:34:00,666 --> 00:34:02,300
(metallic clang)
606
00:34:02,300 --> 00:34:04,433
Many others were not.
607
00:34:04,433 --> 00:34:06,233
(indistinct radio chatter)
608
00:34:06,233 --> 00:34:08,533
♪ ♪
609
00:34:08,533 --> 00:34:12,233
The floods in Asheville,
Valencia, and Texas
610
00:34:12,233 --> 00:34:14,566
were some of the worst
experienced
611
00:34:14,566 --> 00:34:16,800
in the western world
in recent years.
612
00:34:20,266 --> 00:34:24,766
In North Carolina,
the storm killed 107 people.
613
00:34:26,600 --> 00:34:29,966
In Valencia, 228 died.
614
00:34:33,566 --> 00:34:37,466
In Texas, more than 130.
615
00:34:41,866 --> 00:34:43,666
Casualties like these
616
00:34:43,666 --> 00:34:45,700
are very difficult to prevent,
617
00:34:45,700 --> 00:34:51,066
because flash floods
happen so quickly.
618
00:34:51,066 --> 00:34:53,133
But could there have been
more advanced notice,
619
00:34:53,133 --> 00:34:56,433
and timelier warnings
to evacuate?
620
00:34:58,866 --> 00:35:00,566
In the United States,
621
00:35:00,566 --> 00:35:02,366
much of the necessary
infrastructure
622
00:35:02,366 --> 00:35:04,233
is already in place.
623
00:35:05,933 --> 00:35:08,133
Two days
before Asheville flooded,
624
00:35:08,133 --> 00:35:12,100
the National Weather Service
computer models and forecasters
625
00:35:12,100 --> 00:35:15,266
accurately predicted
that the flood could be
626
00:35:15,266 --> 00:35:18,266
as big as the
Great Flood of 1916.
627
00:35:18,266 --> 00:35:19,866
♪ ♪
628
00:35:19,866 --> 00:35:22,233
But as the rain started
to fall,
629
00:35:22,233 --> 00:35:24,600
they needed to forecast
630
00:35:24,600 --> 00:35:26,266
where flooding would occur,
631
00:35:26,266 --> 00:35:27,600
and when.
632
00:35:29,000 --> 00:35:30,000
PALMER:
During the height of the event,
633
00:35:30,000 --> 00:35:32,100
we had eight people here
overnight,
634
00:35:32,100 --> 00:35:33,600
and then three of those eight
635
00:35:33,600 --> 00:35:36,833
were issuing
flash flood warnings.
636
00:35:38,333 --> 00:35:39,633
NARRATOR:
To help predict floods,
637
00:35:39,633 --> 00:35:42,600
forecasters
in the United States
638
00:35:42,600 --> 00:35:44,666
use a tool developed at
639
00:35:44,666 --> 00:35:47,800
the National Severe Storms
Laboratory in Oklahoma.
640
00:35:49,866 --> 00:35:53,033
The system, called FLASH,
641
00:35:53,033 --> 00:35:56,000
calculates where heavy rain
will most likely cause a flood.
642
00:35:57,866 --> 00:36:00,266
Across the country,
643
00:36:00,266 --> 00:36:02,533
158 radars detect rain,
644
00:36:02,533 --> 00:36:04,000
and tell forecasters
645
00:36:04,000 --> 00:36:06,466
how much is falling.
646
00:36:07,866 --> 00:36:09,533
But to predict a flood,
647
00:36:09,533 --> 00:36:12,466
they need to know
where that water will go
648
00:36:12,466 --> 00:36:14,533
when it hits the ground.
649
00:36:16,500 --> 00:36:18,866
JONATHAN GOURLEY:
What is the condition
of the land surface
650
00:36:18,866 --> 00:36:20,966
that the rainwater
is falling on?
651
00:36:20,966 --> 00:36:24,066
A little bit will be
intercepted by the vegetation.
652
00:36:24,066 --> 00:36:26,866
Some of it gets
infiltrated in the soils.
653
00:36:26,866 --> 00:36:28,733
But in many urban areas
654
00:36:28,733 --> 00:36:30,066
that are developed,
655
00:36:30,066 --> 00:36:33,266
we don't have those soils
as much,
656
00:36:33,266 --> 00:36:35,233
and they've been replaced
by asphalt and concrete
657
00:36:35,233 --> 00:36:37,733
and buildings,
and in general,
658
00:36:37,733 --> 00:36:39,266
they have much less capacity
659
00:36:39,266 --> 00:36:41,833
to absorb some of that
incoming rainfall.
660
00:36:41,833 --> 00:36:44,233
♪ ♪
661
00:36:44,233 --> 00:36:46,466
NARRATOR:
The FLASH system contains a grid
662
00:36:46,466 --> 00:36:49,600
with details of
the different terrain
663
00:36:49,600 --> 00:36:53,100
in every square kilometer
of the country.
664
00:36:53,100 --> 00:36:55,033
GOURLEY:
To run a simulation,
665
00:36:55,033 --> 00:36:56,833
we have over
10 million grid points
666
00:36:56,833 --> 00:36:59,233
across the United States.
667
00:36:59,233 --> 00:37:01,866
At every grid cell,
we know the characteristics
668
00:37:01,866 --> 00:37:04,400
of the land surface in
terms of the vegetation type,
669
00:37:04,400 --> 00:37:08,733
the composition of the soil,
as well as the topography.
670
00:37:09,866 --> 00:37:12,266
NARRATOR:
The system uses this information
671
00:37:12,266 --> 00:37:14,433
to calculate
where the water will flow
672
00:37:14,433 --> 00:37:18,266
and pinpoints areas
at risk of flooding.
673
00:37:21,100 --> 00:37:23,300
The total time FLASH takes,
674
00:37:23,300 --> 00:37:25,333
from detecting rain as it falls
675
00:37:25,333 --> 00:37:28,266
to predicting a flood,
676
00:37:28,266 --> 00:37:30,100
is just minutes.
677
00:37:30,100 --> 00:37:31,700
GOURLEY:
The worst case scenario
678
00:37:31,700 --> 00:37:34,233
would be
about 16 or 17 minutes.
679
00:37:36,533 --> 00:37:39,700
Here on this left screen
is FLASH.
680
00:37:39,700 --> 00:37:43,200
So, this is during
the height of Helene.
681
00:37:43,200 --> 00:37:46,033
FLASH is really helpful
for us to determine
682
00:37:46,033 --> 00:37:49,166
which areas are
more likely to need
683
00:37:49,166 --> 00:37:51,466
a flash flood warning first.
684
00:37:51,466 --> 00:37:53,100
Especially at
the beginning of an event.
685
00:37:53,100 --> 00:37:54,400
Yellow is when
686
00:37:54,400 --> 00:37:56,800
we're starting to
think about
687
00:37:56,800 --> 00:37:58,733
maybe the base
flash flood warning.
688
00:37:58,733 --> 00:38:02,266
The red to the purple
is when we're thinking about
689
00:38:02,266 --> 00:38:06,566
looking at that catastrophic
or flash flood emergency.
690
00:38:06,566 --> 00:38:09,233
NARRATOR:
For Helene,
691
00:38:09,233 --> 00:38:12,233
the National Weather Service's
rainfall and flood forecasts
692
00:38:12,233 --> 00:38:14,366
were pretty accurate.
693
00:38:14,366 --> 00:38:18,100
But predicting a flood
is only half the challenge.
694
00:38:20,066 --> 00:38:22,866
The next step is to make sure
people in danger know about it.
695
00:38:25,100 --> 00:38:26,800
Here, Helene revealed
696
00:38:26,800 --> 00:38:29,933
that the current system
has a critical weakness.
697
00:38:32,100 --> 00:38:35,200
The main method authorities
use to inform people
698
00:38:35,200 --> 00:38:40,166
is to send a wireless emergency
alert to their cell phones.
699
00:38:41,566 --> 00:38:43,766
The system works by using
700
00:38:43,766 --> 00:38:47,100
the country's
network of cell towers.
701
00:38:47,100 --> 00:38:49,166
When there's
a threat of an emergency,
702
00:38:49,166 --> 00:38:51,533
such as a flash flood...
(thunder booming)
703
00:38:51,533 --> 00:38:54,700
...response officials
mark the danger zone on a map.
704
00:38:54,700 --> 00:38:56,100
(beeping)
705
00:38:56,100 --> 00:38:58,300
They then send
an alert message
706
00:38:58,300 --> 00:39:01,366
to the nearby cell towers.
707
00:39:01,366 --> 00:39:03,733
GPS coordinates
of the danger zone
708
00:39:03,733 --> 00:39:05,700
are encoded in the message,
709
00:39:05,700 --> 00:39:09,466
so modern cell phones
in or entering the zone
710
00:39:09,466 --> 00:39:11,900
can trigger the alert,
711
00:39:11,900 --> 00:39:13,733
which contains
a warning message
712
00:39:13,733 --> 00:39:16,033
advising people what to do.
713
00:39:19,333 --> 00:39:22,766
PALMER:
So, when we want to go to
issue a flash flood warning,
714
00:39:22,766 --> 00:39:24,866
we use this system.
715
00:39:24,866 --> 00:39:28,333
So, I can just start
drawing a polygon.
716
00:39:29,733 --> 00:39:32,266
And if I want to send out
717
00:39:32,266 --> 00:39:34,100
a Wireless Emergency Alert,
718
00:39:34,100 --> 00:39:36,533
it has to be considerable
or catastrophic.
719
00:39:38,266 --> 00:39:40,566
Once I'm happy with
everything I've typed in here,
720
00:39:40,566 --> 00:39:43,733
I come down here to
"issue all."
721
00:39:43,733 --> 00:39:45,133
(click)
722
00:39:47,333 --> 00:39:48,966
NARRATOR:
When Helene unleashed its rain,
723
00:39:48,966 --> 00:39:53,033
the team at this National
Weather Service office
724
00:39:53,033 --> 00:39:55,200
issued more than
80 wireless emergency alerts
725
00:39:55,200 --> 00:39:57,033
for flash flooding
726
00:39:57,033 --> 00:39:59,200
in just two days.
727
00:39:59,200 --> 00:40:02,300
But not all
the messages got through.
728
00:40:04,333 --> 00:40:06,366
The problem was the wind.
729
00:40:07,966 --> 00:40:11,866
Hurricane Helene's winds
were incredibly strong.
730
00:40:11,866 --> 00:40:16,133
PALMER:
As these winds were
moving north,
731
00:40:16,133 --> 00:40:18,333
it was a cascading
power failure.
732
00:40:18,333 --> 00:40:21,433
Trees were
going down everywhere.
733
00:40:21,433 --> 00:40:23,633
(crashing)
734
00:40:23,633 --> 00:40:25,533
Power lines were being snapped.
735
00:40:25,533 --> 00:40:29,466
So as the power grid
was falling,
736
00:40:29,466 --> 00:40:30,966
communications
were going down,
737
00:40:30,966 --> 00:40:35,000
just because power to the
cell phone towers was failing.
738
00:40:35,000 --> 00:40:37,700
Once you don't
have the communications,
739
00:40:37,700 --> 00:40:40,033
you can no longer get
the wireless emergency alerts.
740
00:40:41,566 --> 00:40:43,333
NARRATOR:
In North Carolina,
741
00:40:43,333 --> 00:40:46,233
the early forecast
of major flooding,
742
00:40:46,233 --> 00:40:50,466
and the wireless emergency
alerts that did get through,
743
00:40:50,466 --> 00:40:52,766
are thought
to have saved many lives.
744
00:40:52,766 --> 00:40:54,266
(click)
745
00:40:55,833 --> 00:40:58,633
In Texas,
the National Weather Service
746
00:40:58,633 --> 00:41:01,033
also forecast the flooding.
747
00:41:01,033 --> 00:41:02,766
The day before the floods,
748
00:41:02,766 --> 00:41:05,633
it initiated a flood watch.
749
00:41:07,000 --> 00:41:09,766
SHEPHERD:
We know that from a
meteorological perspective,
750
00:41:09,766 --> 00:41:11,433
there were
ample weather warnings
751
00:41:11,433 --> 00:41:13,466
in the days and hours
leading up to the event.
752
00:41:13,466 --> 00:41:17,800
There are questions about
how that information was
753
00:41:17,800 --> 00:41:19,933
channeled into warnings
754
00:41:19,933 --> 00:41:21,500
and risk communication
for the public.
755
00:41:23,066 --> 00:41:25,533
NARRATOR:
Flash floods happen so fast
756
00:41:25,533 --> 00:41:28,466
there is little time
to take action.
757
00:41:28,466 --> 00:41:31,366
Texas Hill Country
was no exception.
758
00:41:32,766 --> 00:41:35,066
At 1:14 A.M.,
759
00:41:35,066 --> 00:41:37,966
the National Weather Service
sent out a warning alert
760
00:41:37,966 --> 00:41:40,333
to cell phones in
the area of Camp Mystic,
761
00:41:40,333 --> 00:41:42,000
a Christian girls' summer camp.
762
00:41:43,933 --> 00:41:46,466
About 45 minutes later,
763
00:41:46,466 --> 00:41:48,900
the flood hit.
764
00:41:48,900 --> 00:41:54,000
At Camp Mystic, at least 27
girls and members of staff died.
765
00:41:56,133 --> 00:41:59,433
In total,
the Texas Hill Country floods
766
00:41:59,433 --> 00:42:01,666
killed more than 130 people.
767
00:42:03,833 --> 00:42:05,366
SHEPHERD:
We know that there were
768
00:42:05,366 --> 00:42:08,266
not the type
of warning systems
769
00:42:08,266 --> 00:42:10,066
that we often would expect
770
00:42:10,066 --> 00:42:11,666
in this type of
complex terrain.
771
00:42:13,366 --> 00:42:15,500
So, I think conversations
going forward
772
00:42:15,500 --> 00:42:17,500
will be centered around
773
00:42:17,500 --> 00:42:18,700
how adequate were
774
00:42:18,700 --> 00:42:20,700
cell phone notifications.
775
00:42:20,700 --> 00:42:22,466
Is there coverage?
776
00:42:22,466 --> 00:42:24,266
Are weather radios needed?
777
00:42:24,266 --> 00:42:28,566
Is some type of siren
or warning system needed?
778
00:42:28,566 --> 00:42:31,066
These are all questions
that certainly should be asked.
779
00:42:31,066 --> 00:42:34,000
NARRATOR:
And not only about Texas.
780
00:42:34,000 --> 00:42:35,700
(crashing)
781
00:42:35,700 --> 00:42:38,566
In Valencia,
there were problems with both
782
00:42:38,566 --> 00:42:41,700
forecasting and warning people.
783
00:42:41,700 --> 00:42:43,233
CLOKE:
We know that when we have
784
00:42:43,233 --> 00:42:45,533
a good flood forecasting
and warning system
785
00:42:45,533 --> 00:42:47,800
and that people know
what to do
786
00:42:47,800 --> 00:42:49,366
when they receive
those warnings,
787
00:42:49,366 --> 00:42:51,233
that lives are saved.
788
00:42:51,233 --> 00:42:53,433
So something went wrong
in this flood.
789
00:42:53,433 --> 00:42:55,666
We know that the flood
forecasting and warning system
790
00:42:55,666 --> 00:42:57,066
didn't work as it
should have done.
791
00:42:59,700 --> 00:43:01,500
NARRATOR:
In Valencia,
792
00:43:01,500 --> 00:43:03,533
weather forecasters
saw the storm coming
793
00:43:03,533 --> 00:43:05,333
well ahead of time,
794
00:43:05,333 --> 00:43:07,100
and on the morning
of the flood,
795
00:43:07,100 --> 00:43:09,466
issued a red alert.
796
00:43:09,466 --> 00:43:11,400
But their forecasts
797
00:43:11,400 --> 00:43:14,000
underestimated
the amount of rain.
798
00:43:14,000 --> 00:43:17,066
They predicted that more
than seven inches of rain
799
00:43:17,066 --> 00:43:18,400
would fall in 24 hours.
800
00:43:18,400 --> 00:43:21,466
The highest actual amount
801
00:43:21,466 --> 00:43:23,166
was 30 inches--
802
00:43:23,166 --> 00:43:26,133
over four times as much.
803
00:43:28,400 --> 00:43:30,500
GOURLEY:
One of the grand challenges
804
00:43:30,500 --> 00:43:33,866
is predicting intense rainfall
805
00:43:33,866 --> 00:43:36,333
that occurs over these really
small spatial scales.
806
00:43:36,333 --> 00:43:38,766
We may have like a broad area
807
00:43:38,766 --> 00:43:39,933
where we're anticipating
808
00:43:39,933 --> 00:43:41,233
some heavy rain,
809
00:43:41,233 --> 00:43:42,633
but what does that mean?
810
00:43:42,633 --> 00:43:43,966
Which city is going to be
impacted?
811
00:43:43,966 --> 00:43:45,900
And when I say heavy rain,
812
00:43:45,900 --> 00:43:48,233
is it going to be a
catastrophic rainfall event
813
00:43:48,233 --> 00:43:49,966
that's going to
annihilate the city,
814
00:43:49,966 --> 00:43:52,733
or is it just going
to be a spring thunderstorm.
815
00:43:52,733 --> 00:43:55,100
It's very difficult
to distinguish those two.
816
00:43:56,800 --> 00:43:59,133
(lightning crashing)
817
00:43:59,133 --> 00:44:01,100
NARRATOR:
When the storm turned out to be
818
00:44:01,100 --> 00:44:04,566
one of the biggest
to ever hit Spain,
819
00:44:04,566 --> 00:44:06,966
the emergency services
were overwhelmed.
820
00:44:06,966 --> 00:44:08,466
(person exclaiming,
objects crashing)
821
00:44:08,466 --> 00:44:10,133
(helicopter blades churning)
822
00:44:10,133 --> 00:44:12,033
Unlike the United States,
823
00:44:12,033 --> 00:44:14,700
Valencia didn't have
a system like FLASH
824
00:44:14,700 --> 00:44:18,200
to automatically predict
where rain would cause floods.
825
00:44:21,133 --> 00:44:25,066
Instead, it relied on
more traditional methods.
826
00:44:25,066 --> 00:44:27,566
Around the Poyo ravine,
827
00:44:27,566 --> 00:44:29,566
rain gauges in the hills
828
00:44:29,566 --> 00:44:32,600
sent back readings of
rainfall every five minutes.
829
00:44:32,600 --> 00:44:36,133
♪ ♪
830
00:44:36,133 --> 00:44:38,600
On the ravine itself,
831
00:44:38,600 --> 00:44:42,166
a sensor situated ten miles
upstream of Paiporta
832
00:44:42,166 --> 00:44:45,033
measured the flow of water.
833
00:44:46,133 --> 00:44:48,800
When the rain increased
in the afternoon,
834
00:44:48,800 --> 00:44:54,500
the flow in the Poyo
started rising rapidly.
835
00:44:54,500 --> 00:44:56,633
At 6:55 P.M.,
836
00:44:56,633 --> 00:45:00,766
it reached 600,000 gallons
per second,
837
00:45:00,766 --> 00:45:03,600
almost as much as
the average flow of water
838
00:45:03,600 --> 00:45:07,200
over Niagara Falls.
839
00:45:07,200 --> 00:45:11,066
Then, the water
swept away the sensor.
840
00:45:11,066 --> 00:45:13,133
♪ ♪
841
00:45:13,133 --> 00:45:15,066
Despite all
the gauges and sensors,
842
00:45:15,066 --> 00:45:17,066
very little
of this information
843
00:45:17,066 --> 00:45:20,633
appears to have reached
the emergency committee meeting
844
00:45:20,633 --> 00:45:22,233
responsible for sending out
845
00:45:22,233 --> 00:45:24,233
the wireless emergency alert.
846
00:45:24,233 --> 00:45:26,133
(click)
847
00:45:26,133 --> 00:45:28,133
(inaudible shouting)
848
00:45:28,133 --> 00:45:30,300
At 8:11 P.M.,
849
00:45:30,300 --> 00:45:34,866
two hours after the Poyo River
first broke its banks,
850
00:45:34,866 --> 00:45:38,000
the cell phones of people
across the province
851
00:45:38,000 --> 00:45:39,633
made an alarm sound
852
00:45:39,633 --> 00:45:41,733
and displayed
a warning message.
853
00:45:41,733 --> 00:45:43,100
(alarm tone)
854
00:45:43,100 --> 00:45:45,166
KLARENBERG:
The first warning I got was
855
00:45:45,166 --> 00:45:47,700
after the streets had flooded.
856
00:45:47,700 --> 00:45:49,733
My mobile started
857
00:45:49,733 --> 00:45:51,633
kind of aggressively buzzing.
858
00:45:51,633 --> 00:45:54,766
Yeah, so, after...
after the fact.
859
00:45:54,766 --> 00:45:57,166
KAREN LOFTUS:
Had we received the alert,
860
00:45:57,166 --> 00:46:01,566
which we did receive,
four hours after the event,
861
00:46:01,566 --> 00:46:03,200
of course we wouldn't have
traveled.
862
00:46:03,200 --> 00:46:05,100
It would've been a folly
to travel.
863
00:46:06,466 --> 00:46:08,333
NARRATOR:
Many of the victims had died
864
00:46:08,333 --> 00:46:11,100
before the alert
was finally sent out.
865
00:46:11,100 --> 00:46:14,400
♪ ♪
866
00:46:14,400 --> 00:46:17,666
In Spain, an investigation
is under way
867
00:46:17,666 --> 00:46:19,833
to find out what went wrong.
868
00:46:22,933 --> 00:46:25,533
But timely warnings alone
869
00:46:25,533 --> 00:46:27,666
aren't necessarily enough.
870
00:46:29,566 --> 00:46:31,700
In North Carolina and Texas,
871
00:46:31,700 --> 00:46:33,900
warning systems
were not always able
872
00:46:33,900 --> 00:46:36,500
to get the messages through
to the people at risk.
873
00:46:36,500 --> 00:46:39,600
♪ ♪
874
00:46:39,600 --> 00:46:41,933
National Weather Service
advice
875
00:46:41,933 --> 00:46:46,266
is to not rely
on just one technology.
876
00:46:46,266 --> 00:46:47,900
If for whatever reason,
877
00:46:47,900 --> 00:46:49,333
whether you don't have
your phones,
878
00:46:49,333 --> 00:46:50,933
or there's not adequate
cell phone service,
879
00:46:50,933 --> 00:46:53,200
we need redundancy,
880
00:46:53,200 --> 00:46:55,266
we need other ways of
communicating the threat.
881
00:46:55,266 --> 00:46:58,133
NOAA weather radio
882
00:46:58,133 --> 00:47:00,633
is connected
directly to NOAA
883
00:47:00,633 --> 00:47:02,366
and National Weather Service
warnings,
884
00:47:02,366 --> 00:47:03,933
and so it will be triggered
885
00:47:03,933 --> 00:47:07,233
irrespective of whether
there's cell phone coverage.
886
00:47:08,266 --> 00:47:09,833
PALMER:
While cell phone towers
887
00:47:09,833 --> 00:47:11,766
and cell phone
communications went down,
888
00:47:11,766 --> 00:47:13,433
NOAA weather radio stayed up.
889
00:47:13,433 --> 00:47:16,033
So, we always recommend
that folks have
890
00:47:16,033 --> 00:47:17,633
a NOAA weather radio.
891
00:47:17,633 --> 00:47:21,333
(person exclaiming,
water surging)
892
00:47:21,333 --> 00:47:23,266
NARRATOR:
The disastrous floods in
893
00:47:23,266 --> 00:47:25,666
North Carolina,
Valencia, and Texas
894
00:47:25,666 --> 00:47:30,033
are a wake-up call to
authorities around the world.
895
00:47:30,033 --> 00:47:31,900
SHEPHERD:
I'm often asked
896
00:47:31,900 --> 00:47:34,933
if this is a harbinger
of things to come.
897
00:47:34,933 --> 00:47:36,233
My response would be,
898
00:47:36,233 --> 00:47:38,233
it's already here.
899
00:47:38,233 --> 00:47:39,833
The atmosphere has warmed,
900
00:47:39,833 --> 00:47:42,166
and the systems are
tapping into
901
00:47:42,166 --> 00:47:44,033
elevated moisture supply,
902
00:47:44,033 --> 00:47:46,033
and we're seeing
extreme rainfall events.
903
00:47:46,033 --> 00:47:47,500
That's not my opinion,
904
00:47:47,500 --> 00:47:49,066
that's what scientific
studies are showing.
905
00:47:51,766 --> 00:47:53,500
NARRATOR:
Across the globe,
906
00:47:53,500 --> 00:47:55,466
governments are taking action,
907
00:47:55,466 --> 00:47:57,900
not only to improve
warning systems,
908
00:47:57,900 --> 00:48:00,900
but also to protect
their citizens.
909
00:48:02,300 --> 00:48:03,833
(rain pounding)
910
00:48:03,833 --> 00:48:05,033
In Japan,
911
00:48:05,033 --> 00:48:06,966
the annual number
of heavy rainstorms
912
00:48:06,966 --> 00:48:11,233
has increased by 40%
over the last 30 years.
913
00:48:13,366 --> 00:48:17,033
It's a serious problem
for the capital city, Tokyo.
914
00:48:17,033 --> 00:48:19,566
(lightning striking)
915
00:48:19,566 --> 00:48:22,866
When heavy rain hits,
parts of the city flood.
916
00:48:25,666 --> 00:48:27,800
To channel water
away from rivers
917
00:48:27,800 --> 00:48:30,100
that were at risk
of overflowing,
918
00:48:30,100 --> 00:48:33,433
in the 1990s,
engineers began building
919
00:48:33,433 --> 00:48:36,533
a massive underground
flood relief system.
920
00:48:38,666 --> 00:48:40,000
Workers excavated
921
00:48:40,000 --> 00:48:42,533
nearly four miles of tunnels
beneath the city.
922
00:48:42,533 --> 00:48:44,900
♪ ♪
923
00:48:46,666 --> 00:48:48,600
Giant subterranean silos
924
00:48:48,600 --> 00:48:52,000
were designed to store
some of the water,
925
00:48:53,133 --> 00:48:56,166
while a vast
cathedral-like reservoir,
926
00:48:56,166 --> 00:48:59,233
60 feet high,
would hold the rest.
927
00:49:01,100 --> 00:49:03,966
Yet, this extraordinary
underground project
928
00:49:03,966 --> 00:49:07,266
is still not big enough to cope
with the increased rainfall
929
00:49:07,266 --> 00:49:10,100
expected from global warming.
930
00:49:12,500 --> 00:49:15,900
Work is now underway
to double its capacity.
931
00:49:15,900 --> 00:49:19,166
♪ ♪
932
00:49:21,666 --> 00:49:23,233
The increased risk of flooding
933
00:49:23,233 --> 00:49:24,866
in many places
934
00:49:24,866 --> 00:49:27,000
is forcing planners
and engineers
935
00:49:27,000 --> 00:49:30,033
to rethink their designs.
936
00:49:30,033 --> 00:49:33,100
CLOKE:
Often, new engineering
structures that go in
937
00:49:33,100 --> 00:49:35,100
or the new plans
that are in place
938
00:49:35,100 --> 00:49:38,466
are all based on the last
disaster that's happened.
939
00:49:38,466 --> 00:49:40,000
But what we
really need to do
940
00:49:40,000 --> 00:49:43,000
is imagine what other types of
flood might happen as well.
941
00:49:43,000 --> 00:49:46,300
So that act of imagination,
the act of thinking of
942
00:49:46,300 --> 00:49:48,466
through those scenarios
of the future,
943
00:49:48,466 --> 00:49:49,933
is really important.
944
00:49:51,866 --> 00:49:53,566
NARRATOR:
In Asheville,
945
00:49:53,566 --> 00:49:56,133
communities
are attempting to rebuild.
946
00:49:57,366 --> 00:49:59,033
It looks like they're
trying to reconstruct it.
947
00:49:59,033 --> 00:50:00,400
We all had to leave.
948
00:50:00,400 --> 00:50:04,666
There were tons and tons of mud
inside the building.
949
00:50:04,666 --> 00:50:08,300
The first floor,
completely wiped out.
950
00:50:08,300 --> 00:50:12,333
I was able to find
another place to live.
951
00:50:12,333 --> 00:50:13,466
Some people left
952
00:50:13,466 --> 00:50:14,766
and just didn't come back.
953
00:50:17,833 --> 00:50:19,566
We actually still have
954
00:50:19,566 --> 00:50:20,900
the window that we
swam out of,
955
00:50:20,900 --> 00:50:22,733
it's just not attached to
the house anymore,
956
00:50:22,733 --> 00:50:25,200
but this is the amount of space
we had to swim out of.
957
00:50:25,200 --> 00:50:28,700
♪ ♪
958
00:50:29,700 --> 00:50:31,666
It's been a struggle
in a lot of ways,
959
00:50:31,666 --> 00:50:33,066
but we've had a lot of like
960
00:50:33,066 --> 00:50:35,200
really skilled workers
working with us,
961
00:50:35,200 --> 00:50:37,800
and a lot of great volunteers.
962
00:50:37,800 --> 00:50:39,600
All over the world
people came to help people here.
963
00:50:41,866 --> 00:50:43,633
The danger of
the flood happening again
964
00:50:43,633 --> 00:50:46,066
is something
we have to take seriously.
965
00:50:46,066 --> 00:50:49,100
We've applied for
the elevation program.
966
00:50:49,100 --> 00:50:52,500
So, eventually, our house is
gonna be basically on stilts.
967
00:50:52,500 --> 00:50:55,833
♪ ♪
968
00:50:55,833 --> 00:51:01,033
NARRATOR:
The flood has brought this
Swannanoa community together.
969
00:51:01,033 --> 00:51:03,433
BURGIN:
We know them all
so much better now.
970
00:51:03,433 --> 00:51:05,533
We just want to stay in the area
971
00:51:05,533 --> 00:51:08,500
and be around each other.
972
00:51:08,500 --> 00:51:10,200
That's why everyone wants
to rebuild.
973
00:51:10,200 --> 00:51:13,000
That's why
everyone wants to stay.
974
00:51:13,000 --> 00:51:16,866
(water rushing)
975
00:51:16,866 --> 00:51:18,966
NARRATOR:
Floods will always happen.
976
00:51:18,966 --> 00:51:23,866
But we have the technologies
to make them less deadly.
977
00:51:23,866 --> 00:51:25,966
CLOKE:
We're in the position now where
978
00:51:25,966 --> 00:51:28,366
we have good weather forecasts,
979
00:51:28,366 --> 00:51:30,466
and we have good flood
forecasting systems.
980
00:51:30,466 --> 00:51:33,033
So we should be able to
provide warnings to people
981
00:51:33,033 --> 00:51:35,566
to make sure that they have
the information they need
982
00:51:35,566 --> 00:51:37,366
before floods hit.
983
00:51:39,866 --> 00:51:43,500
SHEPHERD:
We know that we'll continue to
have extreme rainfall events
984
00:51:43,500 --> 00:51:45,266
that will lead to flooding.
985
00:51:45,266 --> 00:51:47,000
So, as we move forward,
986
00:51:47,000 --> 00:51:49,166
we have to think carefully
987
00:51:49,166 --> 00:51:51,466
about what type of warning
and dissemination systems
988
00:51:51,466 --> 00:51:54,666
are needed--
that's a clear need
989
00:51:54,666 --> 00:51:56,566
in terms of
risk communication
990
00:51:56,566 --> 00:51:59,366
in Texas and in
places around the world.
991
00:51:59,366 --> 00:52:01,933
♪ ♪
992
00:52:01,933 --> 00:52:04,166
NARRATOR:
The science is clear:
993
00:52:04,166 --> 00:52:06,166
with intense rainfall
increasing,
994
00:52:06,166 --> 00:52:10,333
more frequent floods
are already here.
995
00:52:29,066 --> 00:52:31,933
♪ ♪
996
00:52:32,866 --> 00:52:40,400
♪ ♪
997
00:52:44,233 --> 00:52:51,766
♪ ♪
998
00:52:55,600 --> 00:53:03,200
♪ ♪
999
00:53:04,833 --> 00:53:12,366
♪ ♪
1000
00:53:14,000 --> 00:53:21,533
♪ ♪
76177
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