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It insulates our planet from the cold hostility of space... | 0:00:08 | 0:00:12 | |
..and shields us from the sun's deadly rays. | 0:00:18 | 0:00:21 | |
It brings live-giving water... | 0:00:25 | 0:00:28 | |
..and it's in every breath you take. | 0:00:32 | 0:00:34 | |
It is our atmosphere. | 0:00:41 | 0:00:43 | |
Now, a team of scientists are going on an expedition... | 0:00:48 | 0:00:51 | |
..to explore this elusive and precious realm. | 0:00:53 | 0:00:58 | |
We have this dynamic bubble of air | 0:00:58 | 0:01:01 | |
constantly moving, constantly changing | 0:01:01 | 0:01:04 | |
and that's what we are here with Cloud Lab to explore. | 0:01:04 | 0:01:07 | |
This unique laboratory, an airship 200 feet long, | 0:01:08 | 0:01:12 | |
is packed with the latest scientific instruments. | 0:01:12 | 0:01:16 | |
Scan it up and down vertically and see if we can hit it. | 0:01:16 | 0:01:18 | |
It actually goes right up to the sun level. | 0:01:18 | 0:01:21 | |
It will enable the team to carry out ground-breaking experiments... | 0:01:21 | 0:01:25 | |
This is really good - now we are sucking in the clouds. | 0:01:30 | 0:01:33 | |
..to discover the many surprising ways in which the atmosphere | 0:01:33 | 0:01:37 | |
shapes our world. | 0:01:37 | 0:01:39 | |
From the edge of the jet stream... | 0:01:41 | 0:01:42 | |
..to the bottom of the ocean. | 0:01:48 | 0:01:50 | |
Another giant-sized animal. This whole place is, like, super-sized. | 0:01:54 | 0:01:59 | |
And the ways in which we ourselves are changing the atmosphere. | 0:02:02 | 0:02:07 | |
We've hard evidence that human beings are creating their own weather. | 0:02:07 | 0:02:12 | |
An airstrip in south-east Florida, | 0:02:28 | 0:02:31 | |
and the team get their first sight of the airship. | 0:02:31 | 0:02:34 | |
It's a lot bigger than I thought it would be. I genuinely thought... | 0:02:36 | 0:02:39 | |
I've been on expeditions in some pretty extraordinary vehicles | 0:02:39 | 0:02:43 | |
but this has got to beat the lot, surely? | 0:02:43 | 0:02:46 | |
This is better than my normal lab, by a long way. | 0:02:48 | 0:02:51 | |
With an expertise in meteorology, | 0:03:05 | 0:03:08 | |
the expedition is being led by explorer Felicity Aston. | 0:03:08 | 0:03:12 | |
I've spent lots of time looking at the weather from the ground | 0:03:14 | 0:03:18 | |
and seeing satellite pictures taken from above the atmosphere, | 0:03:18 | 0:03:21 | |
but with this we're going to be able to actually go into the clouds | 0:03:21 | 0:03:24 | |
and see the weather from the inside. | 0:03:24 | 0:03:27 | |
So you can't help but be excited about something like this. | 0:03:27 | 0:03:32 | |
The team will fly the airship coast to coast across America, | 0:03:33 | 0:03:37 | |
from the Atlantic all the way to the Pacific. | 0:03:37 | 0:03:40 | |
The extreme range of atmospheric conditions | 0:03:42 | 0:03:44 | |
this continent encompasses | 0:03:44 | 0:03:47 | |
will enable them to investigate three distinct themes... | 0:03:47 | 0:03:50 | |
Life. They want to discover the many complex ways in which wildlife | 0:03:52 | 0:03:57 | |
exploits every level of the atmosphere, | 0:03:57 | 0:04:00 | |
from close to the earth's surface to the death-zone of high altitude. | 0:04:00 | 0:04:04 | |
Human impact. They'll explore the subtle and surprising ways | 0:04:08 | 0:04:13 | |
in which we change the atmosphere. | 0:04:13 | 0:04:15 | |
And weather. The many extraordinary processes | 0:04:23 | 0:04:26 | |
that generate weather in the atmosphere. | 0:04:26 | 0:04:30 | |
MAN ON RADIO: Clear for take-off, remain south, runway 9. | 0:04:30 | 0:04:33 | |
And this is where their journey begins - | 0:04:33 | 0:04:37 | |
with one of the most beautiful, transitory and mysterious | 0:04:37 | 0:04:40 | |
of all weather phenomena - clouds. | 0:04:40 | 0:04:43 | |
-Fans? -Fans are on. | 0:04:46 | 0:04:49 | |
Felicity will examine how clouds capture and store liquid water | 0:04:54 | 0:04:58 | |
in the skies to form an ocean of water above our heads. | 0:04:58 | 0:05:01 | |
That's the one I want! That one. | 0:05:01 | 0:05:04 | |
-Good for departure. -Temperature pressures. -Green for departure. | 0:05:06 | 0:05:09 | |
Andy Torbet will measure the forces within clouds | 0:05:09 | 0:05:13 | |
that keep this water floating in the sky. | 0:05:13 | 0:05:16 | |
Dr Chris van Tulleken will see exactly how clouds | 0:05:25 | 0:05:29 | |
return water to earth | 0:05:29 | 0:05:31 | |
by unravelling one of the remaining mysteries of meteorology - | 0:05:31 | 0:05:35 | |
what makes raindrops form? | 0:05:35 | 0:05:36 | |
We know about soot, sand and dirt | 0:05:38 | 0:05:42 | |
but I'm looking for something a bit different. | 0:05:42 | 0:05:47 | |
Which is why, as an infectious diseases doctor, I'm up in a cloud. | 0:05:47 | 0:05:51 | |
Backing up the team is atmospheric chemist Jim McQuaid, | 0:05:57 | 0:06:02 | |
who's custom-built the lab. | 0:06:02 | 0:06:04 | |
The instrumentation we've got here will measure gases in the atmosphere, | 0:06:04 | 0:06:08 | |
pollution, particle measurement. | 0:06:08 | 0:06:09 | |
This is a laser system that will measure clouds off in the distance. | 0:06:11 | 0:06:14 | |
And then we can measure sunlight on the top and also on the bottom | 0:06:14 | 0:06:18 | |
of the airship. So, we've got a really nice little set | 0:06:18 | 0:06:21 | |
of measurements that will allow us to explore the atmosphere. | 0:06:21 | 0:06:25 | |
Sharing the journey will be a 15-strong support team, | 0:06:31 | 0:06:35 | |
needed to launch one of the biggest airships in the world. | 0:06:35 | 0:06:38 | |
The flying capabilities of the airship | 0:06:57 | 0:07:00 | |
offer the team a unique research platform, | 0:07:00 | 0:07:03 | |
able to conduct experiments | 0:07:03 | 0:07:04 | |
that would be impossible in any other aircraft. | 0:07:04 | 0:07:07 | |
They're beginning their expedition with clouds, | 0:07:09 | 0:07:12 | |
because without them we simply wouldn't be here. | 0:07:12 | 0:07:15 | |
It's difficult to imagine, | 0:07:21 | 0:07:23 | |
but the skies are home to a vast ocean of water. | 0:07:23 | 0:07:27 | |
Yet it is beyond our reach, | 0:07:27 | 0:07:30 | |
suspended all around us as an invisible vaporous gas. | 0:07:30 | 0:07:35 | |
Only once it is transformed into clouds does it become liquid water. | 0:07:37 | 0:07:42 | |
It's this deceptively simple transformation | 0:07:43 | 0:07:46 | |
of water from gas to liquid | 0:07:46 | 0:07:48 | |
that ultimately brings water | 0:07:48 | 0:07:50 | |
from the sea to the earth's land surfaces, | 0:07:50 | 0:07:52 | |
by generating 1.4 trillion tonnes of rainfall every day. | 0:07:52 | 0:07:58 | |
Yet clouds are as mysterious as they are beautiful. | 0:08:02 | 0:08:06 | |
How can such delicate ephemeral structures carry so much water? | 0:08:08 | 0:08:13 | |
To begin to understand exactly how much water they carry, | 0:08:19 | 0:08:23 | |
Felicity wants to try something that's never been attempted before. | 0:08:23 | 0:08:27 | |
So, what would be really great, | 0:08:30 | 0:08:32 | |
I don't know if it's going to be possible or not, | 0:08:32 | 0:08:34 | |
but what would be really great is if we could weigh a cloud, | 0:08:34 | 0:08:37 | |
see how heavy it is and work out how much water is in one of those clouds. | 0:08:37 | 0:08:41 | |
But to do that, we've got to get up there. | 0:08:42 | 0:08:45 | |
So we've got to do a bit of cloud hunting. | 0:08:45 | 0:08:47 | |
The Florida coastline is the perfect place to hunt for clouds, | 0:08:58 | 0:09:02 | |
because it's in the ocean | 0:09:02 | 0:09:04 | |
where water's journey into the atmosphere begins. | 0:09:04 | 0:09:07 | |
Energy from the sun evaporates water from the sea into the air above, | 0:09:09 | 0:09:14 | |
and when this moist air is warm enough, | 0:09:14 | 0:09:16 | |
it starts to rise in a column of air known as a thermal. | 0:09:16 | 0:09:20 | |
As it rises, it gets colder. | 0:09:22 | 0:09:25 | |
And cold air can't hold as much water as warm air. | 0:09:25 | 0:09:29 | |
So you get to a certain level when it's cold enough, | 0:09:29 | 0:09:33 | |
that all that water from the sea starts to rematerialize | 0:09:33 | 0:09:36 | |
as tiny little droplets of water. That is the birth of a cloud. | 0:09:36 | 0:09:41 | |
OK, we're going to go for a cloud... | 0:09:51 | 0:09:55 | |
Unlike other aircraft, | 0:09:55 | 0:09:57 | |
the airship can travel slowly enough inside the cloud | 0:09:57 | 0:10:00 | |
to take the crucial measurements Felicity will need. | 0:10:00 | 0:10:03 | |
OK, these clouds here are a little bit wispy and broken. | 0:10:03 | 0:10:07 | |
These ones look as if they are towering a bit too much. | 0:10:10 | 0:10:13 | |
-I think that one's lower, over there, you know. -This one here? | 0:10:13 | 0:10:17 | |
OK, that's the one I want. That one. | 0:10:17 | 0:10:19 | |
It'll be really great to go right through the middle | 0:10:19 | 0:10:23 | |
and right into the heart of it. | 0:10:23 | 0:10:24 | |
This is the airship November 6-1-0 Sierra Kilo... | 0:10:26 | 0:10:30 | |
It will take all of chief pilot David Byrne's 30 years of experience | 0:10:30 | 0:10:34 | |
to reach the target cloud in time. | 0:10:34 | 0:10:37 | |
6-1-0 is an airship. We'd like to operate in this area | 0:10:37 | 0:10:41 | |
between 2,500 and 3,000 feet. | 0:10:41 | 0:10:43 | |
MAN ON RADIO: Sierra Kilo, roger. Proceed as requested. | 0:10:43 | 0:10:46 | |
Small cumulus clouds like this last on average just ten minutes, | 0:10:49 | 0:10:54 | |
so they'll need to move fast. | 0:10:54 | 0:10:56 | |
Meanwhile, former paratrooper Andy Torbet | 0:11:03 | 0:11:06 | |
is preparing for the team's second mission, | 0:11:06 | 0:11:09 | |
researching another aspect of clouds - | 0:11:09 | 0:11:12 | |
what keeps them in the air? | 0:11:12 | 0:11:14 | |
To do so, he'll be travelling through a cloud | 0:11:22 | 0:11:24 | |
in a way that the airship can't - vertically. | 0:11:24 | 0:11:28 | |
The plan is to find a nice cloud, one that's growing, | 0:11:30 | 0:11:32 | |
one that's sucking moisture up from the surface of the earth, | 0:11:32 | 0:11:35 | |
and to get out the aircraft 1,000 feet above the top of that, | 0:11:35 | 0:11:38 | |
and then drop just beneath it | 0:11:38 | 0:11:40 | |
and then fly my parachute just under the cloud. | 0:11:40 | 0:11:43 | |
Whilst a thermal is enough to give birth to a cloud, | 0:11:48 | 0:11:51 | |
for it to remain in the air it needs another source of energy. | 0:11:51 | 0:11:55 | |
That energy comes from within the cloud itself. | 0:11:57 | 0:12:00 | |
As molecules of water vapour come together in a cloud, | 0:12:00 | 0:12:03 | |
they release the heat absorbed during evaporation. | 0:12:03 | 0:12:07 | |
And it's this heat energy that Andy is hoping to detect. | 0:12:10 | 0:12:13 | |
So as he descends through the cloud | 0:12:17 | 0:12:20 | |
he'll record a continuous stream of temperature readings. | 0:12:20 | 0:12:23 | |
It's an experiment fraught with hazard. | 0:12:32 | 0:12:34 | |
The powerful air currents that thrust the cloud upward | 0:12:37 | 0:12:40 | |
also generate turbulence. | 0:12:40 | 0:12:41 | |
Normally with skydiving you look to avoid clouds. | 0:12:43 | 0:12:46 | |
This is the first time I'll be going to aim and hit a cloud. | 0:12:46 | 0:12:50 | |
To mitigate the risks, the entire experiment is being supervised | 0:12:50 | 0:12:53 | |
by a skydive master, Dane Kenny. | 0:12:53 | 0:12:57 | |
OK, Andy, 1,500 feet, throw the scientific stuff, | 0:12:57 | 0:13:00 | |
we start thinking about landing, downwind to make the final leg. | 0:13:00 | 0:13:04 | |
-Roger. -Happy? -Happy. | 0:13:04 | 0:13:07 | |
Dane will try to find a route for Andy through the edges of the cloud, | 0:13:07 | 0:13:11 | |
where he can detect the release of heat whilst still remaining safe. | 0:13:11 | 0:13:15 | |
Aboard the airship, | 0:13:26 | 0:13:27 | |
they're closing in on the cloud they've targeted for weighing. | 0:13:27 | 0:13:30 | |
Dr Jim McQuaid primes the instrumentation. | 0:13:34 | 0:13:37 | |
So we have a... There's a laser beam here. | 0:13:39 | 0:13:42 | |
So this is one instrument we've got, it's called a LIDAR. | 0:13:42 | 0:13:44 | |
The LIDAR, a kind of light radar, will measure the cloud's dimensions | 0:13:47 | 0:13:51 | |
by emitting a laser and analysing the light reflected back. | 0:13:51 | 0:13:56 | |
So, the time it takes for the light to go from here | 0:13:56 | 0:13:59 | |
to the cloud and back will tell us the distance. | 0:13:59 | 0:14:02 | |
A second probe will measure the exact size and density | 0:14:04 | 0:14:08 | |
of the individual droplets of liquid | 0:14:08 | 0:14:10 | |
as the airship passes through the cloud. | 0:14:10 | 0:14:13 | |
-OK, Jim, are you ready? -OK! | 0:14:14 | 0:14:17 | |
So, I'm picking up cloud droplets now. | 0:14:31 | 0:14:32 | |
The humidity's gone up to 100%. | 0:14:32 | 0:14:34 | |
I don't know how many times, as a kid, | 0:15:11 | 0:15:13 | |
I wondered what it would feel like to be up in one of these clouds. | 0:15:13 | 0:15:17 | |
And now I've just gone through one, so now I know. | 0:15:17 | 0:15:20 | |
It doesn't feel like cotton wool sadly, but... | 0:15:20 | 0:15:23 | |
It feels really wet and surprisingly dark in there. | 0:15:25 | 0:15:28 | |
That was great, that was really perfect. | 0:15:38 | 0:15:40 | |
With the moist, cool air of the cloud behind them, | 0:15:40 | 0:15:43 | |
they can begin to figure out the result. | 0:15:43 | 0:15:45 | |
Wow, so that cloud was nearly a kilometre long. | 0:15:45 | 0:15:49 | |
So, Jim, have you got an idea of how wide the cloud was? | 0:15:49 | 0:15:52 | |
200 metres across. | 0:15:54 | 0:15:55 | |
So we're going to assume that it's as tall as it is wide, | 0:15:55 | 0:15:59 | |
because it looked like a fairly solid elliptical shape, | 0:15:59 | 0:16:02 | |
so we just use a simple formula to work out the volume of the cloud. | 0:16:02 | 0:16:06 | |
How wide was it, 200 metres? | 0:16:06 | 0:16:08 | |
-20 million. -20 million... -..cubic metres. | 0:16:08 | 0:16:12 | |
That's a small, compact cloud, 20 million cubic metres. | 0:16:12 | 0:16:17 | |
To calculate the cloud's weight, | 0:16:20 | 0:16:23 | |
they factor in the size and density of the water droplets within it. | 0:16:23 | 0:16:26 | |
The weight per cubic metre is about... | 0:16:32 | 0:16:36 | |
Say the average is 0.2. | 0:16:36 | 0:16:38 | |
-0.2g per cubic metre. -0.2g per cubic metre. | 0:16:38 | 0:16:42 | |
-OK, so we times 0.2 by 20 million. -Yes. | 0:16:42 | 0:16:46 | |
4,000kg. | 0:16:48 | 0:16:50 | |
-Yeah. -So that small cloud weighs four tonnes. -Yeah. | 0:16:50 | 0:16:55 | |
-That's incredible. -It is. | 0:16:55 | 0:16:57 | |
And that was a small one. | 0:16:57 | 0:17:00 | |
Well, I think we can congratulate ourselves. We've weighed a cloud. | 0:17:00 | 0:17:03 | |
We know it weighs four tonnes. | 0:17:03 | 0:17:05 | |
I don't know if anybody has ever done it before. | 0:17:05 | 0:17:08 | |
I'm not sure anyone's going to believe us, | 0:17:08 | 0:17:10 | |
that cloud weighs four tonnes, but it does. All the figures are there. | 0:17:10 | 0:17:15 | |
Your machine did good. | 0:17:15 | 0:17:17 | |
Felicity's experiment has revealed that even a small | 0:17:22 | 0:17:25 | |
cumulus cloud converts large amounts of vapour to liquid water. | 0:17:25 | 0:17:31 | |
It also begins to explain how, despite being fleeting, | 0:17:41 | 0:17:45 | |
delicate structures, clouds can deliver all the earth's water needs. | 0:17:45 | 0:17:49 | |
The average cumulus is 50 times larger than the one the team | 0:17:56 | 0:18:00 | |
have measured, so it carries around 200 tonnes of water. | 0:18:00 | 0:18:04 | |
Even the most diffuse cloud, a wispy, high altitude cirrus | 0:18:09 | 0:18:13 | |
of the same volume, would weigh two tonnes. | 0:18:13 | 0:18:16 | |
But the greatest water bearers are cumulonimbus clouds. | 0:18:22 | 0:18:27 | |
Up to ten times more dense than a cumulus cloud, and measuring | 0:18:27 | 0:18:31 | |
on average 1,000 times larger, these can weigh one million tonnes. | 0:18:31 | 0:18:36 | |
At any one point in time, the world's clouds | 0:18:38 | 0:18:41 | |
hold an astonishing 129 billion tonnes of water in the sky. | 0:18:41 | 0:18:47 | |
So, given clouds carry vast amounts of water, | 0:18:55 | 0:18:59 | |
they must also generate vast amounts of energy | 0:18:59 | 0:19:02 | |
in order to defy gravity and remain aloft. | 0:19:02 | 0:19:06 | |
Dane and Andy are seeking to measure this process, as it occurs, | 0:19:06 | 0:19:10 | |
by detecting the heat energy generated by a cloud. | 0:19:10 | 0:19:14 | |
They've climbed to 10,000 feet amongst a cluster of cumulus clouds. | 0:19:14 | 0:19:18 | |
-Happy? -Happy. -Your handles? | 0:19:18 | 0:19:21 | |
-Happy? -Happy. | 0:19:21 | 0:19:22 | |
But the clouds are building fast. | 0:19:28 | 0:19:30 | |
Too fast for Dane's liking. | 0:19:30 | 0:19:33 | |
We're going to descend to 8,000 feet | 0:19:33 | 0:19:36 | |
because there's a lot of turbulence up here, and I want to make sure | 0:19:36 | 0:19:39 | |
I put Andy out in the right place at the right time. | 0:19:39 | 0:19:43 | |
Dane needs to position the aircraft above a cloud, so that they can | 0:19:43 | 0:19:47 | |
descend through its fringes and then beneath it. | 0:19:47 | 0:19:50 | |
That will enable Andy | 0:19:50 | 0:19:52 | |
to take the stream of temperature readings he needs. | 0:19:52 | 0:19:55 | |
With a suitably isolated cloud in sight, | 0:19:57 | 0:20:00 | |
Dane times the run-in. | 0:20:00 | 0:20:01 | |
Five, four, three, two, one, go! | 0:20:11 | 0:20:17 | |
They free-fall to 7,000 feet to reach the cloud tops. | 0:20:23 | 0:20:27 | |
Now Andy's instruments can set to work. | 0:20:31 | 0:20:34 | |
They've managed to fly into the edge of the cloud, | 0:20:42 | 0:20:44 | |
and are soon met by its powerful updraughts. | 0:20:44 | 0:20:47 | |
I can feel the turbulence. There's a lot of activity here | 0:20:49 | 0:20:52 | |
and it's throwing my canopy about. | 0:20:52 | 0:20:55 | |
I'm now at 3,800 feet and getting good readings on the Flytec. | 0:21:03 | 0:21:09 | |
Excellent, mate. Good job. | 0:21:09 | 0:21:11 | |
They've reached 3,000 feet and the cloud base. | 0:21:15 | 0:21:18 | |
They navigate beneath it to record the way the temperature changes | 0:21:18 | 0:21:21 | |
now they're out of the cloud. | 0:21:21 | 0:21:23 | |
Andy, I want you to head towards the drop zone. | 0:21:30 | 0:21:33 | |
You should be able to see the drop zone. | 0:21:33 | 0:21:35 | |
-Head towards the sun. -Roger. | 0:21:35 | 0:21:40 | |
Yeah, I can see the drop zone, so that's good. | 0:21:40 | 0:21:43 | |
All Andy needs to do now to complete his data set is reach the ground. | 0:21:43 | 0:21:48 | |
-Yee-ha! -Dane to Andy - down safe, mate. | 0:21:49 | 0:21:51 | |
Andy has measured the air temperature | 0:21:57 | 0:21:59 | |
from the top of the cloud all the way to ground level. | 0:21:59 | 0:22:03 | |
It's now up to Felicity to see if they've managed to detect | 0:22:03 | 0:22:07 | |
the generation of heat energy within the cloud. | 0:22:07 | 0:22:10 | |
I've just been having a look at the data that came back from Andy's jump | 0:22:12 | 0:22:16 | |
and they're perfect. They're exactly what we wanted. | 0:22:16 | 0:22:19 | |
The data reveals that the atmosphere cools at a predictable rate, | 0:22:24 | 0:22:28 | |
called the lapse rate, from ground level to the cloud base. | 0:22:28 | 0:22:32 | |
But then the rate of cooling slows. | 0:22:34 | 0:22:36 | |
So the cloud is clearly generating heat. | 0:22:40 | 0:22:43 | |
And why that's really lovely to see that is because what we know happens | 0:22:45 | 0:22:49 | |
is that when water condenses out of air | 0:22:49 | 0:22:51 | |
it releases a huge amount of energy, | 0:22:51 | 0:22:54 | |
and that energy warms the air around it | 0:22:54 | 0:22:57 | |
and that creates big bursts of energy inside the cloud. | 0:22:57 | 0:23:00 | |
And that's why clouds have big, uneven fluffy tops. | 0:23:02 | 0:23:06 | |
So this is exactly what helps to keep the cloud afloat. | 0:23:06 | 0:23:09 | |
This energy, released by water vapour as it condenses, | 0:23:13 | 0:23:16 | |
is called latent heat, | 0:23:16 | 0:23:19 | |
and it is possible to work out | 0:23:19 | 0:23:20 | |
how much energy is delivered to a cloud by this process. | 0:23:20 | 0:23:25 | |
A typical cumulus cloud, similar to the one Dane and Andy measured, | 0:23:25 | 0:23:29 | |
generates enough heat energy to power the average home for 17 years, | 0:23:29 | 0:23:34 | |
or about 300 tonnes of TNT. | 0:23:34 | 0:23:37 | |
Scale that up to a million tonne cumulonimbus, and you're looking at | 0:23:45 | 0:23:49 | |
the heat energy equivalent to a nuclear warhead. | 0:23:49 | 0:23:52 | |
It's really great that we've managed to detect | 0:23:56 | 0:23:59 | |
that release of latent heat, | 0:23:59 | 0:24:02 | |
because it is so important | 0:24:02 | 0:24:03 | |
to all the different weather systems that we see. | 0:24:03 | 0:24:07 | |
It's the fundamental driving force, it's the energy source | 0:24:07 | 0:24:10 | |
of every single weather system. | 0:24:10 | 0:24:13 | |
So the formation of a cloud is not just | 0:24:17 | 0:24:20 | |
the transfer of massive amounts of water to the skies, | 0:24:20 | 0:24:24 | |
but massive amounts of energy, too. | 0:24:24 | 0:24:26 | |
And that means clouds not only have the power to nourish our planet, | 0:24:28 | 0:24:31 | |
delivering rain to the earth, | 0:24:31 | 0:24:34 | |
but if that energy is released quickly, wreak destruction. | 0:24:34 | 0:24:38 | |
It's a theme the team will examine further into their mission, | 0:24:39 | 0:24:42 | |
but first they want to complete their study of clouds. | 0:24:42 | 0:24:46 | |
The team is heading west across the Florida peninsula, | 0:24:56 | 0:24:59 | |
towards the area known as the Panhandle. | 0:24:59 | 0:25:02 | |
Having investigated how water arrives in our skies | 0:25:22 | 0:25:25 | |
and is held aloft, | 0:25:25 | 0:25:27 | |
the team have come here to examine how water | 0:25:27 | 0:25:30 | |
is returned to earth in the form of rain. | 0:25:30 | 0:25:32 | |
At the heart of this question | 0:25:35 | 0:25:37 | |
is one of the most radical ideas in meteorology today - | 0:25:37 | 0:25:41 | |
that some clouds are alive, | 0:25:41 | 0:25:44 | |
and as a consequence, behave differently to others. | 0:25:44 | 0:25:49 | |
-There's a hint of a wee bit of rain there. -To the north-west... | 0:25:49 | 0:25:53 | |
INDISTINCT RADIO CHATTER | 0:25:53 | 0:25:56 | |
It all comes down to the little-understood process | 0:25:56 | 0:25:59 | |
that causes raindrops to form. | 0:25:59 | 0:26:01 | |
What we are looking for is the stuff that makes rain. | 0:26:05 | 0:26:08 | |
Rain doesn't form easily, | 0:26:08 | 0:26:11 | |
which people in the UK and frankly, people in Florida, | 0:26:11 | 0:26:14 | |
are going to think is a bit odd because it rains a lot. | 0:26:14 | 0:26:17 | |
But you need a little catalyst, a nucleus, to help raindrops form. | 0:26:17 | 0:26:22 | |
It's a bit like a grain of sand at the heart of a pearl. | 0:26:22 | 0:26:26 | |
Molecules of water vapour need a surface to collide with, | 0:26:30 | 0:26:34 | |
and condense onto, to form a liquid. | 0:26:34 | 0:26:36 | |
Normally, tiny particles like dust or sea salt | 0:26:40 | 0:26:44 | |
suspended in clouds do the job. | 0:26:44 | 0:26:46 | |
But a new idea has emerged | 0:26:46 | 0:26:49 | |
suggesting the presence of something quite different, | 0:26:49 | 0:26:52 | |
which could be causing some clouds to produce rain | 0:26:52 | 0:26:55 | |
while others don't... | 0:26:55 | 0:26:56 | |
Life. In the form of bacteria. | 0:26:58 | 0:27:02 | |
It's a theory Chris and Jim are seeking to find evidence for. | 0:27:05 | 0:27:08 | |
What we are trying to find out is, | 0:27:11 | 0:27:13 | |
is there bacteria in the droplets of water? | 0:27:13 | 0:27:18 | |
Do they have stuff in them that could act as a nucleus to help form rain? | 0:27:18 | 0:27:23 | |
As a microbiologist, Chris is used to examining bacteria | 0:27:26 | 0:27:30 | |
that live within the human body. | 0:27:30 | 0:27:32 | |
He's now hoping the airship's ability to enter clouds | 0:27:33 | 0:27:36 | |
with minimum disturbance will enable him to see if clouds, too, | 0:27:36 | 0:27:40 | |
could be alive with microorganisms. | 0:27:40 | 0:27:44 | |
I'll just have a word with the pilot, | 0:27:44 | 0:27:46 | |
without falling out of the airship! | 0:27:46 | 0:27:48 | |
Dave, the deeper we are into thick cloud the better. | 0:27:51 | 0:27:54 | |
I know there are limits to what you can do | 0:27:54 | 0:27:56 | |
but that's what I'm looking for. | 0:27:56 | 0:27:59 | |
The tricky thing is distinguishing between bacteria | 0:27:59 | 0:28:03 | |
and other tiny particles like soot and dust | 0:28:03 | 0:28:06 | |
which have been swept into the atmosphere by the wind. | 0:28:06 | 0:28:09 | |
So Jim has rigged the airship with a particle analyser | 0:28:12 | 0:28:16 | |
known as a WIBS machine. | 0:28:16 | 0:28:18 | |
The WIBS machine uses lasers to detect soot, particles, | 0:28:21 | 0:28:27 | |
to look for signs of life. | 0:28:27 | 0:28:29 | |
You know when you go into a room and there's ultraviolet light, | 0:28:29 | 0:28:32 | |
like a nightclub? Bits of dandruff, and your teeth, | 0:28:32 | 0:28:36 | |
and even if you have a cup of urine - bit unlikely, | 0:28:36 | 0:28:40 | |
but that would glow under the ultraviolet light. | 0:28:40 | 0:28:43 | |
So there are these fluorescent molecules, | 0:28:43 | 0:28:45 | |
that when you shine particular light on them, they glow. | 0:28:45 | 0:28:49 | |
And that's essentially what this machine is going to look for. | 0:28:49 | 0:28:51 | |
It's going to shine a laser at all the stuff that comes into it | 0:28:51 | 0:28:55 | |
and if something glows, it's probably biological. | 0:28:55 | 0:28:58 | |
As they enter the cloud, an inlet pipe draws in air for analysis. | 0:29:13 | 0:29:19 | |
This is great. This is the thickest cloud we've been in, I think. | 0:29:26 | 0:29:29 | |
This is the thickest cloud I'VE been in. | 0:29:29 | 0:29:31 | |
So the first question is, are we detecting any signs | 0:29:36 | 0:29:39 | |
that there might be microscopic life up in cloud vapour? | 0:29:39 | 0:29:44 | |
Yeah, I'm actually seeing some response now. | 0:29:51 | 0:29:54 | |
This top channel is one of the fluorescence channels | 0:29:54 | 0:29:58 | |
and it responds to proteins. | 0:29:58 | 0:30:01 | |
And anything above this baseline is actually fluorescence, | 0:30:01 | 0:30:05 | |
and that's exactly what you are wanting to see. | 0:30:05 | 0:30:07 | |
So you can see that we are getting fluorescence from material going in. | 0:30:07 | 0:30:13 | |
These particles here, what size are they? | 0:30:13 | 0:30:16 | |
The size is up to five microns, | 0:30:16 | 0:30:18 | |
-nothing particularly big, quite small. -Smaller than pollen? | 0:30:18 | 0:30:22 | |
Oh, much smaller than pollen, yeah, yeah. | 0:30:22 | 0:30:25 | |
-And potentially the right size for bacteria? -Yes, yes. | 0:30:25 | 0:30:28 | |
So this is quite... | 0:30:28 | 0:30:31 | |
This is quite a big deal. | 0:30:31 | 0:30:33 | |
To me, this is a really big deal. | 0:30:33 | 0:30:35 | |
We've got evidence here that we've got bacteria in clouds | 0:30:35 | 0:30:39 | |
and that's right at the cutting edge of science. | 0:30:39 | 0:30:42 | |
Having established that some clouds are alive with bacteria, | 0:30:47 | 0:30:51 | |
Chris now wants to know whether those microorganisms | 0:30:51 | 0:30:54 | |
could be helping clouds to produce rain. | 0:30:54 | 0:30:57 | |
Surprisingly, most rain starts as ice crystals, | 0:31:03 | 0:31:06 | |
because high up inside clouds | 0:31:06 | 0:31:08 | |
temperatures are often well below freezing. | 0:31:08 | 0:31:12 | |
Those crystals of ice act like a magnet, attracting water vapour | 0:31:12 | 0:31:17 | |
and growing rapidly. | 0:31:17 | 0:31:18 | |
When they are big enough and heavy enough, they fall, | 0:31:20 | 0:31:24 | |
and as they fall they melt to become rain. | 0:31:24 | 0:31:27 | |
There is a theory that water freezes more easily | 0:31:30 | 0:31:34 | |
around some types of particles than others. | 0:31:34 | 0:31:36 | |
If you do the water and the mineral dust, I'll do the bacteria. | 0:31:41 | 0:31:47 | |
So Chris is mounting an experiment | 0:31:47 | 0:31:49 | |
to find out which is best at producing ice. | 0:31:49 | 0:31:53 | |
Is it dust or bacteria? | 0:31:53 | 0:31:57 | |
We've got three rows of drops here. We've got the first row near me | 0:31:59 | 0:32:04 | |
is pure water, | 0:32:04 | 0:32:05 | |
and then the second row | 0:32:05 | 0:32:08 | |
has mineral dust in it, | 0:32:08 | 0:32:10 | |
and the third row has bacteria that we know does live in clouds. | 0:32:10 | 0:32:14 | |
And we are just going to drop the temperature on this plate | 0:32:14 | 0:32:17 | |
and see which freezes more easily. | 0:32:17 | 0:32:20 | |
And if a bacterial protein helps water turn into ice more easily | 0:32:20 | 0:32:25 | |
than the mineral that we know is the most common reason that rain happens, | 0:32:25 | 0:32:30 | |
that's really significant. | 0:32:30 | 0:32:31 | |
You know, if that process is happening then bacteria | 0:32:31 | 0:32:35 | |
might be making their own rain. | 0:32:35 | 0:32:37 | |
This is the temperature of the plate cooling down. | 0:32:37 | 0:32:41 | |
So it's just above freezing. | 0:32:41 | 0:32:44 | |
So this is the pure water, this is the mineral dust, | 0:32:44 | 0:32:49 | |
this is the bacteria. | 0:32:49 | 0:32:51 | |
So we are below freezing. | 0:32:53 | 0:32:56 | |
It's funny, isn't it? We talk about freezing as zero, | 0:32:56 | 0:33:00 | |
but it's actually really hard to get water to freeze. | 0:33:00 | 0:33:03 | |
In fact, pure water doesn't freeze until well below zero. | 0:33:05 | 0:33:10 | |
There needs to be impurities in the water for it to freeze | 0:33:10 | 0:33:14 | |
at higher temperatures. | 0:33:14 | 0:33:16 | |
The water in your tap at home you make ice cubes from | 0:33:16 | 0:33:19 | |
is full of all kinds of minerals | 0:33:19 | 0:33:22 | |
and particles and dust and some bacteria. | 0:33:22 | 0:33:25 | |
That means when you put it in the freezer it'll freeze. | 0:33:25 | 0:33:29 | |
So we are at minus 3.9. So this is a cold day in there. | 0:33:29 | 0:33:32 | |
That's minus 4.5 now. | 0:33:32 | 0:33:35 | |
It's minus 8, almost minus 8.5. | 0:33:41 | 0:33:44 | |
Nothing's frozen yet. | 0:33:46 | 0:33:47 | |
-There you go. -There, there. -There you go. | 0:33:49 | 0:33:52 | |
The whole lot just went. You just saw bang, bang, bang, bang, bang. | 0:33:52 | 0:33:56 | |
Everything just froze. | 0:33:56 | 0:33:57 | |
It's not a gradual thing. Once there's one ice crystal - | 0:34:02 | 0:34:04 | |
bang, they all go. | 0:34:04 | 0:34:07 | |
But that was only the bacterial ones. None of the mineral ones froze. | 0:34:07 | 0:34:11 | |
Only when it is two degrees colder | 0:34:11 | 0:34:13 | |
does the mineral dust finally start to freeze. | 0:34:13 | 0:34:16 | |
-Those... -Yeah. Almost minus 11. | 0:34:18 | 0:34:22 | |
Some of the mineral ones are going. | 0:34:22 | 0:34:25 | |
Not only has the experiment demonstrated | 0:34:25 | 0:34:27 | |
that ice forms around bacteria, | 0:34:27 | 0:34:30 | |
but that it does so at a higher temperature than around dust. | 0:34:30 | 0:34:34 | |
So the bacterial protein is more efficient than the main mineral | 0:34:42 | 0:34:47 | |
that we think causes rain. | 0:34:47 | 0:34:50 | |
And to me the key thing is here, bacteria have evolved a protein, | 0:34:50 | 0:34:55 | |
they've made something that helps water freeze, that helps ice form. | 0:34:55 | 0:34:59 | |
For Chris, this result challenges the whole way | 0:35:01 | 0:35:04 | |
we understand how weather is created. | 0:35:04 | 0:35:07 | |
It raises the intriguing possibility | 0:35:09 | 0:35:12 | |
that living clouds will rain more readily than clouds that aren't. | 0:35:12 | 0:35:15 | |
So knowing whether a cloud is a home to bacteria or not | 0:35:17 | 0:35:21 | |
could help forecasters predict if it's going to rain. | 0:35:21 | 0:35:24 | |
But the real enigma of living weather | 0:35:26 | 0:35:29 | |
is why bacteria are in a cloud at all. | 0:35:29 | 0:35:32 | |
Bacteria like moist environments. | 0:35:32 | 0:35:34 | |
If you have rain, you have vegetation, that's food for bacteria. | 0:35:34 | 0:35:38 | |
You know. Could it be that simple? | 0:35:38 | 0:35:40 | |
That it's not just their way of getting out of the clouds, | 0:35:40 | 0:35:43 | |
it's their way of creating an ecosystem | 0:35:43 | 0:35:45 | |
in which in which they can live? | 0:35:45 | 0:35:48 | |
That changes the whole way you've got to think about | 0:35:48 | 0:35:51 | |
how weather happens on the planet. | 0:35:51 | 0:35:54 | |
The team have come to the Florida Panhandle in search of rain, | 0:36:03 | 0:36:07 | |
but now it's about to find them. | 0:36:07 | 0:36:09 | |
Rain's coming. | 0:36:11 | 0:36:12 | |
I can see it moving towards us. | 0:36:12 | 0:36:14 | |
A powerful northerly wind has brought a cold front | 0:36:16 | 0:36:18 | |
1,000 miles long to the edge of the Gulf. | 0:36:18 | 0:36:21 | |
The airship is lighter than air, | 0:36:25 | 0:36:28 | |
its envelope filled with helium, | 0:36:28 | 0:36:30 | |
and in these conditions it's hard to keep it under control. | 0:36:30 | 0:36:34 | |
For a brief moment, Cloud Lab is at the mercy of the wind. | 0:36:43 | 0:36:47 | |
Stranded on board is Dr Chris van Tulleken. | 0:36:47 | 0:36:51 | |
That was terrifying. | 0:37:08 | 0:37:09 | |
HE LAUGHS | 0:37:09 | 0:37:11 | |
Here I am just sitting in the driving seat | 0:37:11 | 0:37:14 | |
and the whole thing just turns on its end. | 0:37:14 | 0:37:17 | |
Does that happen a lot? | 0:37:17 | 0:37:19 | |
-That's the first time I've seen it go like that. -Oh, really? | 0:37:19 | 0:37:22 | |
I assumed you knew what you were doing! | 0:37:22 | 0:37:26 | |
With the airship finally secure, there's nothing to do | 0:37:35 | 0:37:38 | |
but sit the storm out. | 0:37:38 | 0:37:40 | |
You can hear it beating down on the top of the airship | 0:37:44 | 0:37:47 | |
and it makes the hairs on the back of your neck go up. | 0:37:47 | 0:37:50 | |
You can feel the energy in the air around you. | 0:37:50 | 0:37:53 | |
It's absolutely fantastic. | 0:37:53 | 0:37:55 | |
It's brilliant. | 0:37:55 | 0:37:57 | |
In just a few hours, close to 30,000 tonnes of water | 0:38:02 | 0:38:07 | |
are unleashed on this one small airfield alone. | 0:38:07 | 0:38:10 | |
In the surrounding area, a staggering 2.8 million tonnes. | 0:38:12 | 0:38:16 | |
With the passing of the cold front comes the opportunity | 0:38:22 | 0:38:25 | |
for the team to pursue a new theme... | 0:38:25 | 0:38:27 | |
..the relationship between the atmosphere and the life forms | 0:38:37 | 0:38:41 | |
that make it their home. | 0:38:41 | 0:38:42 | |
For all creatures that fly, the atmosphere is vital. | 0:38:45 | 0:38:49 | |
It's a place to find food, to hunt and be hunted. | 0:38:49 | 0:38:54 | |
But it's also a domain of wildly diverging | 0:38:56 | 0:38:58 | |
and rapidly changing habitats, | 0:38:58 | 0:39:00 | |
from gentle breezes to powerful thermals, | 0:39:00 | 0:39:06 | |
which to us, remain mostly unseen. | 0:39:06 | 0:39:09 | |
So the team want to examine the extent to which life actively | 0:39:11 | 0:39:14 | |
exploits the many different characteristics of the atmosphere. | 0:39:14 | 0:39:18 | |
This is Gulf Shores, Alabama. | 0:39:26 | 0:39:29 | |
It's an important staging post | 0:39:29 | 0:39:31 | |
for a number of different migratory bird species, | 0:39:31 | 0:39:34 | |
all of which are trying to escape the approaching American winter. | 0:39:34 | 0:39:38 | |
They are resting up here before the most perilous part of their journey | 0:39:41 | 0:39:45 | |
to South and Central America, | 0:39:45 | 0:39:47 | |
the 600 mile flight across the Gulf of Mexico. | 0:39:47 | 0:39:50 | |
Andy is joining a group of scientists | 0:39:58 | 0:40:00 | |
tracking the migration patterns of the birds that depart from here. | 0:40:00 | 0:40:04 | |
They're on a dawn raid to catch and then tag some. | 0:40:08 | 0:40:13 | |
-And you've got to check them every...? -30 minutes. -OK. | 0:40:17 | 0:40:20 | |
The question they're trying to answer is | 0:40:22 | 0:40:25 | |
do the birds time their departures to take advantage | 0:40:25 | 0:40:27 | |
of favourable atmospheric conditions? | 0:40:27 | 0:40:29 | |
With the passing of the front, now is an ideal time to test the idea. | 0:40:35 | 0:40:40 | |
-Three? So what's this? This is a Swainson's thrush? -No. | 0:40:40 | 0:40:43 | |
No, it's a, er... | 0:40:43 | 0:40:46 | |
-It's actually a warbler. -OK. | 0:40:46 | 0:40:48 | |
-It that a migrant bird? -It is. | 0:40:48 | 0:40:50 | |
They will come down all the way from Alaska and migrate through here. | 0:40:50 | 0:40:54 | |
I really wanted to see a hummingbird. They just seem so delicate. | 0:40:54 | 0:40:57 | |
Yeah, they're very, very delicate. That's why we put them in the bags | 0:40:57 | 0:41:00 | |
instead of the boxes, | 0:41:00 | 0:41:02 | |
just for that reason. | 0:41:02 | 0:41:04 | |
The birds are caught between two conflicting pressures. | 0:41:04 | 0:41:06 | |
On the one hand, winter is coming | 0:41:06 | 0:41:09 | |
and they have to move before food becomes scarce. | 0:41:09 | 0:41:11 | |
On the other, if they get their timing wrong, | 0:41:14 | 0:41:17 | |
they may find themselves fighting headwinds. | 0:41:17 | 0:41:20 | |
So, all the ones we are catching here, are they night-time migrants? | 0:41:27 | 0:41:30 | |
Every one of all these birds are night migrants... | 0:41:30 | 0:41:32 | |
Cloud Lab's biologist, Dr Sarah Beynon, | 0:41:32 | 0:41:36 | |
has just joined the expedition. | 0:41:36 | 0:41:38 | |
She's meeting the project's lead scientist, Professor Frank Moore. | 0:41:41 | 0:41:45 | |
His team have caught more birds than usual. | 0:41:47 | 0:41:50 | |
Do you think this is due to the weather that we had yesterday? | 0:41:50 | 0:41:54 | |
I suspect that what happened was the birds that flew last night, | 0:41:54 | 0:41:58 | |
they encountered that weather on the coast and they stopped here. | 0:41:58 | 0:42:01 | |
And this is the last place they could stop | 0:42:01 | 0:42:03 | |
before the Gulf of Mexico. | 0:42:03 | 0:42:05 | |
Amongst the many species they are studying, | 0:42:08 | 0:42:10 | |
some have migrating patterns that are still not fully understood, | 0:42:10 | 0:42:15 | |
such as hummingbirds. | 0:42:15 | 0:42:17 | |
He's making a spot there to attach the transmitter. | 0:42:20 | 0:42:23 | |
The birds are fitted with radio transmitters | 0:42:23 | 0:42:25 | |
to track their departure, | 0:42:25 | 0:42:27 | |
and see if it is related to any particular weather conditions. | 0:42:27 | 0:42:31 | |
How much does that weigh? | 0:42:31 | 0:42:32 | |
It weighs about 4% of the bird's body mass. | 0:42:32 | 0:42:36 | |
It may look invasive, | 0:42:36 | 0:42:38 | |
but the procedures have been honed over many years. | 0:42:38 | 0:42:41 | |
Where will you be picking up the data from that transmitter? | 0:42:41 | 0:42:44 | |
From the towers that we have here on the peninsula, | 0:42:44 | 0:42:48 | |
that will pick up the signal when the bird departs | 0:42:48 | 0:42:50 | |
across the Gulf of Mexico. | 0:42:50 | 0:42:52 | |
-Do you want to let him go? -Oh, yes, please. | 0:42:53 | 0:42:56 | |
-OK, how do I hold him? -Open your hand. | 0:42:56 | 0:42:58 | |
OK, and then hold the wings? | 0:43:01 | 0:43:04 | |
If you just let your hands go | 0:43:04 | 0:43:06 | |
-he'll fly off, or maybe with a little encouragement. -OK. | 0:43:06 | 0:43:09 | |
-Good luck, little one. -There he goes. | 0:43:10 | 0:43:13 | |
Wow! Pretty impressive. | 0:43:13 | 0:43:15 | |
That was brilliant. | 0:43:15 | 0:43:17 | |
Andy is discovering that some birds find it harder to leave than others. | 0:43:19 | 0:43:23 | |
OK, this is not going well. | 0:43:27 | 0:43:29 | |
Oh, man, you don't want to be the one bloke who kills | 0:43:30 | 0:43:33 | |
a hummingbird on TV, do you? | 0:43:33 | 0:43:34 | |
Phew! That was a close one. | 0:43:38 | 0:43:41 | |
I'll have a little lie down now. | 0:43:41 | 0:43:42 | |
Now all they can do is wait and see if the birds use the better weather | 0:43:45 | 0:43:49 | |
to make the crossing that evening. | 0:43:49 | 0:43:50 | |
On the airship, they're heading west along the Gulf | 0:43:59 | 0:44:01 | |
so that Felicity can rendezvous with Sarah. | 0:44:01 | 0:44:05 | |
Along the way, she'll gather more meteorological data | 0:44:05 | 0:44:08 | |
to cross-reference with the bird tagging data. | 0:44:08 | 0:44:11 | |
We put radio tags on some birds | 0:44:19 | 0:44:22 | |
to see whether they actually made it across the Gulf, | 0:44:22 | 0:44:25 | |
and three of the birds that we tagged made the journey. | 0:44:25 | 0:44:30 | |
-And it took them between 16 and 24 hours. -Wow! | 0:44:30 | 0:44:34 | |
But it just showed that they were able to make that journey. | 0:44:34 | 0:44:37 | |
The tagged hummingbirds and thrushes departed that same evening | 0:44:40 | 0:44:44 | |
and reached their destination. | 0:44:44 | 0:44:46 | |
The passage of the cold front led to an improvement in the weather, | 0:44:52 | 0:44:55 | |
and delivered a tailwind that the birds seem to have exploited. | 0:44:55 | 0:44:58 | |
And the data Felicity has gathered suggests they're not the only birds | 0:45:01 | 0:45:05 | |
that take advantage of a change in the wind. | 0:45:05 | 0:45:07 | |
This is National Radar Data. | 0:45:10 | 0:45:13 | |
So, any of the green, red and yellow signals you can see, | 0:45:13 | 0:45:17 | |
that's bad weather that was sitting right on top of you | 0:45:17 | 0:45:20 | |
and pinning all those birds down. But then as that front moves across, | 0:45:20 | 0:45:24 | |
there's a sudden explosion of these sort of rosette blue colours. | 0:45:24 | 0:45:29 | |
And nobody knew what they were at first, | 0:45:29 | 0:45:31 | |
but now they know that it's biological matter showing up | 0:45:31 | 0:45:35 | |
on the radar. So that is the birds leaving, it shows up on the radar. | 0:45:35 | 0:45:40 | |
And if I just let this play, you can see that over the whole country | 0:45:42 | 0:45:46 | |
as fronts move across, | 0:45:46 | 0:45:49 | |
behind the fronts you'll see this sudden explosion of birds leaving. | 0:45:49 | 0:45:53 | |
After the passage of a front, many millions of birds take to the skies | 0:45:58 | 0:46:03 | |
in an attempt to reduce the energy required to make their migration. | 0:46:03 | 0:46:06 | |
It really just shows how important these weather fronts are | 0:46:09 | 0:46:13 | |
for the birds. They have to fly in the air | 0:46:13 | 0:46:16 | |
that's following these cold fronts along. | 0:46:16 | 0:46:19 | |
And just seeing it on this level shows that these weather fronts, | 0:46:21 | 0:46:25 | |
you know, they are vital for movement, | 0:46:25 | 0:46:28 | |
not just on a small scale but on a global scale. | 0:46:28 | 0:46:31 | |
The team are heading further west to begin exploring their third theme - | 0:46:47 | 0:46:54 | |
the relationship between the atmosphere and ourselves. | 0:46:54 | 0:46:58 | |
Humans have been changing the atmosphere for millennia. | 0:47:04 | 0:47:07 | |
In recent years we've witnessed the depletion of the ozone layer. | 0:47:10 | 0:47:13 | |
Today our carbon emissions are changing the atmosphere | 0:47:15 | 0:47:18 | |
on a global scale. | 0:47:18 | 0:47:20 | |
The team want to explore one newly emerging and surprising consequence | 0:47:25 | 0:47:30 | |
of our relationship with the atmosphere - | 0:47:30 | 0:47:34 | |
the apparent increase in the frequency | 0:47:34 | 0:47:36 | |
and intensity of hurricanes. | 0:47:36 | 0:47:39 | |
They've arrived at New Orleans. | 0:47:42 | 0:47:44 | |
In 2005, this was the scene of the deadliest hurricane | 0:47:44 | 0:47:48 | |
to hit the United States in more than half a century. | 0:47:48 | 0:47:51 | |
GEORGE W BUSH: Hurricane Katrina is now designated | 0:47:54 | 0:47:57 | |
a Category 5 hurricane. | 0:47:57 | 0:47:59 | |
We cannot stress enough the danger that this hurricane poses | 0:47:59 | 0:48:03 | |
to Gulf Coast communities. I urge all citizens to put their own safety | 0:48:03 | 0:48:07 | |
and the safety of their families first, by moving to safe ground. | 0:48:07 | 0:48:12 | |
The city still bears the scars to this day. | 0:48:14 | 0:48:17 | |
A lot of the damage is still so evident. | 0:48:20 | 0:48:23 | |
There's foundations with nothing on them and roofs shaken to bits, | 0:48:23 | 0:48:27 | |
and I can see a lot of houses where they're just destroyed. | 0:48:27 | 0:48:31 | |
It really brings home how powerful this flooding must have been. | 0:48:35 | 0:48:39 | |
Hurricanes have battered these shores since long before | 0:48:41 | 0:48:44 | |
there were human settlements. | 0:48:44 | 0:48:46 | |
It's a consequence of the particular geography in this area. | 0:48:46 | 0:48:50 | |
As the team have learnt, the journey of water to sky | 0:48:52 | 0:48:55 | |
releases vast amounts of energy through the action of latent heat. | 0:48:55 | 0:48:59 | |
In the warm, shallow waters of the Gulf, that process takes place | 0:49:02 | 0:49:06 | |
with such intensity it can help to generate a hurricane. | 0:49:06 | 0:49:10 | |
But Katrina is evidence of a new and disturbing trend | 0:49:31 | 0:49:35 | |
towards an increase in the number and intensity of storms. | 0:49:35 | 0:49:39 | |
We already know that the sea surface temperatures | 0:49:41 | 0:49:45 | |
drive the hurricanes, they're the hurricane fuel. | 0:49:45 | 0:49:48 | |
And so if we look at a graph of sea surface temperatures, | 0:49:48 | 0:49:52 | |
we can see that there's a very obvious upward trend. | 0:49:52 | 0:49:57 | |
So temperatures are getting warmer and warmer, decade after decade. | 0:49:57 | 0:50:01 | |
And that's what's driving not only more hurricanes but worse hurricanes. | 0:50:01 | 0:50:06 | |
So what I'd like to know now | 0:50:06 | 0:50:08 | |
is what's driving that upward trend in temperature? | 0:50:08 | 0:50:12 | |
The most likely cause for the ocean warming is us. | 0:50:18 | 0:50:21 | |
But Felicity suspects it may not be in the way we might at first expect. | 0:50:24 | 0:50:29 | |
There's a newly emerging idea that the temperature of the Gulf | 0:50:34 | 0:50:37 | |
may be influenced by pollutants in the atmosphere. | 0:50:37 | 0:50:41 | |
To test the idea, Felicity is taking the airship on the eight-hour, | 0:50:50 | 0:50:54 | |
300 mile journey to one of America's most industrialised cities - | 0:50:54 | 0:50:59 | |
Houston, Texas. | 0:50:59 | 0:51:01 | |
So, we've come to an area that has a lot of heavy industry | 0:51:13 | 0:51:16 | |
and also one of the busiest shipping lanes in the US, | 0:51:16 | 0:51:19 | |
because here we're likely to see what impact that's having | 0:51:19 | 0:51:24 | |
on the clouds that are forming in this area. | 0:51:24 | 0:51:27 | |
Clouds have an important effect on sea temperatures | 0:51:29 | 0:51:32 | |
because of the way they block out the sun's heat. | 0:51:32 | 0:51:35 | |
But the extent to which they block the sun | 0:51:35 | 0:51:38 | |
depends upon what they're made from, | 0:51:38 | 0:51:40 | |
because polluted clouds have different properties | 0:51:40 | 0:51:43 | |
compared to clean clouds. | 0:51:43 | 0:51:45 | |
What we'd now like to do | 0:51:45 | 0:51:47 | |
is to try and get into some of these clouds over here. | 0:51:47 | 0:51:49 | |
-We're looking for a dirty cloud. -Dirty? | 0:51:49 | 0:51:52 | |
Something that's either over this shipping channel | 0:51:52 | 0:51:55 | |
-or over the oil refineries. -OK. | 0:51:55 | 0:51:58 | |
She first needs to confirm whether the cloud is polluted. | 0:52:09 | 0:52:13 | |
OK, we're in. | 0:52:18 | 0:52:20 | |
Jim detects methane and carbon dioxide - | 0:52:27 | 0:52:31 | |
important markers for other pollutants. | 0:52:31 | 0:52:33 | |
So, can we tell whether that was a dirty cloud or not? | 0:52:39 | 0:52:43 | |
We can measure the cocktail of pollutants. | 0:52:43 | 0:52:46 | |
So, what we've got here, we're getting these | 0:52:46 | 0:52:48 | |
increases in concentration. | 0:52:48 | 0:52:50 | |
So these lumps are where we went through clouds, | 0:52:50 | 0:52:53 | |
and it's a peak in methane and carbon dioxide. | 0:52:53 | 0:52:57 | |
The high levels of pollution mean that there are more particles | 0:53:00 | 0:53:03 | |
on which the cloud droplets can form. | 0:53:03 | 0:53:05 | |
And that has an important knock-on effect. | 0:53:08 | 0:53:10 | |
This is the size distribution, and the average is about six microns | 0:53:18 | 0:53:23 | |
and that's quite small. Whereas in the cleaner clouds, | 0:53:23 | 0:53:26 | |
which we've flown through in Florida, | 0:53:26 | 0:53:28 | |
-the average size is more like ten. -Right. | 0:53:28 | 0:53:31 | |
-So we're seeing more small droplets that you would in a clean cloud? -Yes. | 0:53:31 | 0:53:38 | |
In dirty clouds you have more and smaller particles, | 0:53:38 | 0:53:44 | |
so they are going to be denser clouds, there's more droplets. | 0:53:44 | 0:53:47 | |
The consequences of this are far-reaching. | 0:53:51 | 0:53:53 | |
The more water droplets a cloud contains, | 0:53:56 | 0:53:59 | |
the more sunlight it scatters and reflects. | 0:53:59 | 0:54:02 | |
So less heat reaches the earth and the sea. | 0:54:05 | 0:54:09 | |
The clouds here are dirty clouds, and because they're thicker and denser, | 0:54:11 | 0:54:16 | |
they're blocking out more sunlight than clean clouds. | 0:54:16 | 0:54:20 | |
So they're having a net cooling effect | 0:54:20 | 0:54:22 | |
on the climate underneath them. | 0:54:22 | 0:54:24 | |
So dirty clouds are cooling down temperatures. | 0:54:27 | 0:54:32 | |
Right. | 0:54:33 | 0:54:34 | |
It seems that polluted clouds cool the world's oceans. | 0:54:37 | 0:54:41 | |
And yet sea surface temperatures are on the rise... | 0:54:44 | 0:54:48 | |
..fuelling hurricanes. | 0:54:52 | 0:54:54 | |
Felicity calls upon the one piece of data that can make sense | 0:54:59 | 0:55:03 | |
of this confusing picture - | 0:55:03 | 0:55:06 | |
the way in which pollution levels have changed | 0:55:06 | 0:55:08 | |
over the past few decades. | 0:55:08 | 0:55:11 | |
What I'm thinking | 0:55:11 | 0:55:12 | |
is that the period when the atmosphere was at its dirtiest... | 0:55:12 | 0:55:15 | |
And if you look at these hurricane seasons... | 0:55:18 | 0:55:20 | |
..it's pretty much the same period of time when there were less hurricanes. | 0:55:23 | 0:55:28 | |
-So it's possible that pollution is suppressing hurricanes. -Yeah. | 0:55:31 | 0:55:36 | |
It's an extraordinary idea, that higher levels of pollution | 0:55:40 | 0:55:44 | |
in the past might have been suppressing hurricanes, | 0:55:44 | 0:55:48 | |
because polluted clouds were cooling the world's oceans. | 0:55:48 | 0:55:52 | |
But environmental legislation | 0:55:54 | 0:55:57 | |
has improved air quality across America. | 0:55:57 | 0:56:00 | |
So there are fewer of these dense, polluted clouds. | 0:56:04 | 0:56:07 | |
As a result, the seas have slowly warmed up again. | 0:56:11 | 0:56:14 | |
So, what we're saying is that by cleaning up our atmosphere | 0:56:19 | 0:56:25 | |
we have allowed there to be more hurricanes. | 0:56:25 | 0:56:28 | |
So, we're not seeing an upward trend in hurricanes, | 0:56:28 | 0:56:31 | |
what we HAVE seen in past decades when the air was dirty, | 0:56:31 | 0:56:35 | |
was a suppression in hurricanes. So what we're seeing at the moment | 0:56:35 | 0:56:38 | |
is a return to the natural state of things, | 0:56:38 | 0:56:41 | |
a return to the normal number of hurricanes | 0:56:41 | 0:56:44 | |
that you would expect to find in a season. | 0:56:44 | 0:56:47 | |
And that's really... | 0:56:47 | 0:56:50 | |
a fantastic story. | 0:56:50 | 0:56:53 | |
Felicity has picked her way through the intricate evidence | 0:56:59 | 0:57:02 | |
that might explain the rise in hurricane frequency and intensity. | 0:57:02 | 0:57:07 | |
And the answer is as complex as it is surprising. | 0:57:13 | 0:57:16 | |
The team have now completed the first half | 0:57:26 | 0:57:29 | |
of their epic voyage across America. | 0:57:29 | 0:57:31 | |
Next time, the team journey across the harsh desert of the west, | 0:57:48 | 0:57:53 | |
and on to the Pacific Ocean. | 0:57:53 | 0:57:56 | |
We've made it! | 0:57:56 | 0:57:58 | |
Andy will take to the skies once again, | 0:57:58 | 0:58:01 | |
searching for life at the edge of existence. | 0:58:01 | 0:58:05 | |
Felicity and Jim will investigate our role in making rain. | 0:58:06 | 0:58:11 | |
And Sarah experiences life on the wing. | 0:58:14 | 0:58:17 |