Browse content similar to Episode 2. Check below for episodes and series from the same categories and more!
Line | From | To | |
---|---|---|---|
It's variable. | 0:00:02 | 0:00:03 | |
It's hard to predict, it has a massive impact | 0:00:03 | 0:00:07 | |
every hour of every day. | 0:00:07 | 0:00:09 | |
It is, of course, the weather. | 0:00:09 | 0:00:11 | |
I'm Alok Jha | 0:00:14 | 0:00:16 | |
and I'm a science journalist. | 0:00:16 | 0:00:18 | |
I want to investigate how, through history, | 0:00:20 | 0:00:23 | |
people have tried to predict what the weather will do. | 0:00:23 | 0:00:26 | |
That's what this series is about, the story of the extraordinary | 0:00:28 | 0:00:32 | |
characters who took on one of the hardest problems in science. | 0:00:32 | 0:00:36 | |
How to forecast the weather. | 0:00:36 | 0:00:37 | |
In this episode: | 0:00:39 | 0:00:41 | |
The ambulance driver who dreamed up the first | 0:00:41 | 0:00:43 | |
weather computer in the trenches of World War I. | 0:00:43 | 0:00:47 | |
The scientist who tried to predict weather disasters | 0:00:48 | 0:00:52 | |
and helped unlock global climate systems. | 0:00:52 | 0:00:54 | |
And the weathermen who risked their lives to help | 0:00:56 | 0:00:58 | |
win the Second World War. | 0:00:58 | 0:01:01 | |
I thought sometimes that I wonder if we can get back all right. | 0:01:01 | 0:01:04 | |
This is a story with a dark side. | 0:01:05 | 0:01:08 | |
All of the accomplishments that scientists made | 0:01:08 | 0:01:11 | |
in understanding the weather came out of catastrophe... | 0:01:11 | 0:01:15 | |
natural disaster... | 0:01:15 | 0:01:17 | |
and war. | 0:01:17 | 0:01:19 | |
This was half a century which tested meteorologists to their limits. | 0:01:19 | 0:01:24 | |
These are cirrus clouds. | 0:01:39 | 0:01:42 | |
Probably the most beautiful clouds in the sky. | 0:01:42 | 0:01:45 | |
They are pale and wispy. | 0:01:46 | 0:01:49 | |
Some people have called them mare's tails or compared them | 0:01:49 | 0:01:53 | |
to long strands of hair. | 0:01:53 | 0:01:55 | |
Cirrus clouds have fascinated skywatchers for centuries. | 0:01:58 | 0:02:01 | |
They are said to signal stormy weather. | 0:02:03 | 0:02:05 | |
There was actually a maritime saying, | 0:02:07 | 0:02:09 | |
"If you see mare's tails, carry low sails." | 0:02:09 | 0:02:12 | |
Because bad weather's on the way. | 0:02:12 | 0:02:14 | |
But in a village in Leicestershire in the 19th century, | 0:02:18 | 0:02:22 | |
the local rector decided to take a scientific approach | 0:02:22 | 0:02:25 | |
to studying cirrus clouds. | 0:02:25 | 0:02:27 | |
His name was William Clement Ley. | 0:02:30 | 0:02:32 | |
And in Ashby Parva, he had a reputation as a weather prophet. | 0:02:34 | 0:02:38 | |
During harvest time, | 0:02:40 | 0:02:41 | |
Ley would post his weather forecasts on these rectory gates | 0:02:41 | 0:02:45 | |
and it's said that farmers would come from miles around | 0:02:45 | 0:02:48 | |
to read the forecasts and only then would they decide | 0:02:48 | 0:02:51 | |
when to cut their corn or their hay. | 0:02:51 | 0:02:54 | |
Ley knew that the livelihood of the farmers depended on the weather. | 0:02:57 | 0:03:01 | |
A bad harvest could bring hardship to entire communities. | 0:03:05 | 0:03:09 | |
So Ley made it his life's work to try | 0:03:11 | 0:03:14 | |
and find a way to predict storms and bad weather. | 0:03:14 | 0:03:17 | |
He used a simple instrument. | 0:03:20 | 0:03:22 | |
It is thought he designed and built his own. | 0:03:22 | 0:03:25 | |
This is a nephoscope and it's probably less complicated than | 0:03:25 | 0:03:28 | |
the one that Ley would have built, but the principle is the same. | 0:03:28 | 0:03:32 | |
All around, there are 360 degrees of markings. | 0:03:32 | 0:03:37 | |
The zero points directly north and once you've set it up properly, | 0:03:37 | 0:03:42 | |
you just watch the clouds in the mirror. | 0:03:42 | 0:03:44 | |
Ley spent years plotting the clouds. | 0:03:47 | 0:03:50 | |
Cirrus clouds fascinated him. | 0:03:53 | 0:03:55 | |
They're the highest in the sky, at 18,000 feet and above. | 0:03:55 | 0:04:00 | |
For him, clouds were not just things of beauty and grace. | 0:04:03 | 0:04:07 | |
He realised they could provide clues | 0:04:10 | 0:04:11 | |
which could help to predict the weather. | 0:04:11 | 0:04:15 | |
This is a diagram made by Ley in 1877 | 0:04:17 | 0:04:20 | |
and it shows a model of a depression, | 0:04:20 | 0:04:22 | |
a low-pressure weather system, | 0:04:22 | 0:04:24 | |
of the kind that blows in from the west to Britain all the time. | 0:04:24 | 0:04:28 | |
It's this that brings unsettled weather to the UK, | 0:04:28 | 0:04:31 | |
rain, clouds, even gales. | 0:04:31 | 0:04:33 | |
Low-pressure systems often dominate the weather | 0:04:35 | 0:04:38 | |
in mid-to-high latitudes | 0:04:38 | 0:04:39 | |
around northern America and northern Europe. | 0:04:39 | 0:04:42 | |
Understanding how they worked was the Holy Grail of meteorology. | 0:04:42 | 0:04:46 | |
Ley had cracked something extraordinary. | 0:04:50 | 0:04:53 | |
The structure of a low-pressure centre in three dimensions. | 0:04:53 | 0:04:57 | |
On this diagram, Ley marked the direction of the winds. | 0:05:00 | 0:05:03 | |
You can see at the bottom where these solid lines are, | 0:05:03 | 0:05:06 | |
the winds are rotating counterclockwise | 0:05:06 | 0:05:08 | |
around this central area, | 0:05:08 | 0:05:10 | |
and the whole pressure system is moving that way. | 0:05:10 | 0:05:12 | |
But as the winds move around here, | 0:05:12 | 0:05:14 | |
they move up and the winds at the top are diverging outwards. | 0:05:14 | 0:05:21 | |
Modern satellite images show that Ley was remarkably accurate | 0:05:24 | 0:05:28 | |
in working out what was happening thousands of feet up in the air. | 0:05:28 | 0:05:33 | |
Because of his careful observations of cirrus cloud, | 0:05:33 | 0:05:37 | |
Ley identified that on occasions, the upper flow was moving | 0:05:37 | 0:05:42 | |
at tremendous velocities and he measured speeds in excess of 150mph. | 0:05:42 | 0:05:48 | |
That would later be termed as part of the jet stream. | 0:05:50 | 0:05:53 | |
The jet stream is now recognised as a crucial part of how weather works. | 0:05:55 | 0:05:59 | |
But at the time, it was completely unknown. | 0:06:00 | 0:06:03 | |
Ley also gathered observations showing that cirrus clouds often | 0:06:08 | 0:06:12 | |
appear before an approaching low. | 0:06:12 | 0:06:14 | |
So he called for an international forecasting system to be set up. | 0:06:18 | 0:06:22 | |
Observers along the coasts of Europe could spot cirrus clouds | 0:06:25 | 0:06:29 | |
approaching and telegraph the data to a central forecasting office. | 0:06:29 | 0:06:33 | |
Improved storm warnings could have saved lives | 0:06:35 | 0:06:38 | |
in the 19th century. | 0:06:38 | 0:06:39 | |
In the age of sail, shipwrecks were all too common | 0:06:41 | 0:06:44 | |
and rural communities were blighted by extreme weather events. | 0:06:44 | 0:06:48 | |
Towards the end of his life, | 0:06:51 | 0:06:53 | |
Ley wrote a book pleading with the scientific world to take note. | 0:06:53 | 0:06:56 | |
But the scientific establishment didn't listen. | 0:07:30 | 0:07:33 | |
And his idea of using cirrus clouds was stillborn. | 0:07:34 | 0:07:38 | |
William Clement Ley is buried here in this quiet grave in Ashby Parva. | 0:07:39 | 0:07:44 | |
He had a sad end. | 0:07:44 | 0:07:46 | |
Towards the end of his life, | 0:07:46 | 0:07:48 | |
he was admitted to a mental institution in London. | 0:07:48 | 0:07:51 | |
In 1896, he was found dead. | 0:07:52 | 0:07:55 | |
An inquest found he'd killed himself while "of unsound mind". | 0:07:55 | 0:08:00 | |
It's said the local farmers gathered together | 0:08:01 | 0:08:04 | |
one more time for his funeral. | 0:08:04 | 0:08:06 | |
It's difficult to overestimate Ley's work. | 0:08:08 | 0:08:12 | |
When he died, any idea of using upper flow | 0:08:13 | 0:08:17 | |
essentially died with him. | 0:08:17 | 0:08:20 | |
There was this huge gap of about 40 years that was | 0:08:20 | 0:08:25 | |
literally lost in terms of meteorological advancement. | 0:08:25 | 0:08:28 | |
But, as we'll see, Ley did leave a legacy. | 0:08:31 | 0:08:35 | |
One which was to inform future scientists | 0:08:35 | 0:08:39 | |
in their search for the secrets of the skies. | 0:08:39 | 0:08:42 | |
At the beginning of the 20th century, | 0:08:53 | 0:08:56 | |
the Met Office was based in Central London above a piano shop. | 0:08:56 | 0:09:00 | |
It was underfunded | 0:09:02 | 0:09:04 | |
and did very little original research into the upper atmosphere. | 0:09:04 | 0:09:08 | |
It took the outbreak of war in 1914 for modern forecasting to be born. | 0:09:12 | 0:09:17 | |
The First World War was a human disaster. | 0:09:21 | 0:09:23 | |
When fighting broke out, the British Army saw no need for meteorology. | 0:09:27 | 0:09:32 | |
They planned to fight wars the old way. | 0:09:32 | 0:09:35 | |
But soon, that had to change. | 0:09:36 | 0:09:38 | |
By 1915, there was a grisly stalemate on the Western Front. | 0:09:38 | 0:09:43 | |
The British Army's high command realised they were facing | 0:09:43 | 0:09:46 | |
a new type of scientific, highly technological warfare | 0:09:46 | 0:09:49 | |
and it was something they were hopelessly unprepared for. | 0:09:49 | 0:09:53 | |
This was a war using new technology. | 0:09:53 | 0:09:56 | |
One of the most significant was airplanes. | 0:09:56 | 0:09:59 | |
They were mostly used for observational purposes over | 0:09:59 | 0:10:03 | |
the battlefield. | 0:10:03 | 0:10:04 | |
They were fragile, | 0:10:04 | 0:10:05 | |
lightweight machines at the mercy of strong winds. | 0:10:05 | 0:10:10 | |
Commanders soon realised they needed scientific input. | 0:10:10 | 0:10:13 | |
So, in spring 1915, the Royal Flying Corps sent a telegram | 0:10:17 | 0:10:21 | |
to the Met Office asking for their help. | 0:10:21 | 0:10:23 | |
An organisation called the Meteorological Field Service | 0:10:25 | 0:10:29 | |
was set up, commonly known as Meteor. | 0:10:29 | 0:10:32 | |
It set about gathering weather data along the front line. | 0:10:34 | 0:10:38 | |
They started off by using thousands of these things, | 0:10:38 | 0:10:41 | |
pilot balloons. And the method was very simple. | 0:10:41 | 0:10:44 | |
They let them off and then two men with the odd light would track them | 0:10:44 | 0:10:48 | |
as they rose through the air. | 0:10:48 | 0:10:49 | |
This was a basic way of working out the speed and direction of the wind. | 0:10:52 | 0:10:56 | |
But more sophisticated instruments were needed, because the war | 0:11:00 | 0:11:03 | |
was getting more complicated, especially for artillery. | 0:11:03 | 0:11:07 | |
Artillery was the most important weapon | 0:11:09 | 0:11:11 | |
system in the whole of the First World War. | 0:11:11 | 0:11:13 | |
1914 to 1918 marked a revolution in warfare. | 0:11:13 | 0:11:16 | |
It was the first time that artillery became the predominant | 0:11:16 | 0:11:19 | |
killer on the battlefield. | 0:11:19 | 0:11:21 | |
In the 19th century and the wars of Napoleon, | 0:11:21 | 0:11:23 | |
artillery had accounted for between five and 10% of all casualties. | 0:11:23 | 0:11:26 | |
By the time of the First World War, | 0:11:26 | 0:11:28 | |
artillery accounted for around 80% of all battlefield casualties. | 0:11:28 | 0:11:32 | |
By 1917, battle lines had got deeper and deeper. | 0:11:34 | 0:11:38 | |
Trenches now stretched back five, seven, sometimes ten miles. | 0:11:40 | 0:11:45 | |
EXPLOSIONS | 0:11:45 | 0:11:47 | |
Firing at longer ranges than ever before, firing the blind, | 0:11:47 | 0:11:50 | |
firing from map coordinates, | 0:11:50 | 0:11:52 | |
and flinging their shells up to 14,000 feet into the air, | 0:11:52 | 0:11:55 | |
it was essential that the gunners understood weather conditions, | 0:11:55 | 0:11:58 | |
atmospherics and wind speed. | 0:11:58 | 0:12:00 | |
This long-range form of warfare meant shells were hanging | 0:12:01 | 0:12:05 | |
longer in the air. | 0:12:05 | 0:12:07 | |
They were much more vulnerable to the temperature | 0:12:07 | 0:12:10 | |
and density of the atmosphere. | 0:12:10 | 0:12:11 | |
Meteor needed a new way of getting information from higher in the air. | 0:12:13 | 0:12:17 | |
Of course, what they really needed | 0:12:23 | 0:12:25 | |
was access to these beautiful things - biplanes. | 0:12:25 | 0:12:28 | |
These were the technological marvels of their age. | 0:12:28 | 0:12:32 | |
For most of the war, biplanes were used for military purposes, | 0:12:33 | 0:12:37 | |
like spotting targets for the artillery. | 0:12:37 | 0:12:40 | |
But there was someone doing pioneering research work | 0:12:40 | 0:12:44 | |
while flying over the front line. | 0:12:44 | 0:12:46 | |
He was an officer with the Royal Flying Corps. | 0:12:46 | 0:12:49 | |
He was universally known by his initials - CKM Douglas. | 0:12:51 | 0:12:55 | |
At first, Douglas fought as an artillery spotter in the war. | 0:12:59 | 0:13:02 | |
It was an extremely dangerous and difficult job. | 0:13:02 | 0:13:05 | |
You'd have to sit in a box in the nose of the plane, | 0:13:05 | 0:13:08 | |
fully exposed to the elements. | 0:13:08 | 0:13:10 | |
Douglas retrained as a pilot and was shot down three times... | 0:13:12 | 0:13:15 | |
..once by a squadron of German aces headed by Hermann Goering himself. | 0:13:17 | 0:13:22 | |
But incredibly, during all the fighting, | 0:13:23 | 0:13:26 | |
Douglas was indulging his real passion. | 0:13:26 | 0:13:28 | |
He was fascinated by the weather. | 0:13:31 | 0:13:33 | |
And he had an inspiring figure to draw upon. | 0:13:35 | 0:13:38 | |
Douglas read The Reverend Ley's writings from 40 years before. | 0:13:39 | 0:13:43 | |
He admired his work on clouds | 0:13:45 | 0:13:47 | |
and how you can use them to predict bad weather. | 0:13:47 | 0:13:50 | |
Douglas used his time in the air to conduct his own private | 0:13:54 | 0:13:58 | |
research, and now I'm going to try to the same thing. | 0:13:58 | 0:14:02 | |
I'm going to take with me | 0:14:04 | 0:14:05 | |
the instruments that Douglas would have had during the war years. | 0:14:05 | 0:14:08 | |
So I have my altimeter fixed to the cockpit here, | 0:14:08 | 0:14:11 | |
there's a thermometer fixed to the side there. | 0:14:11 | 0:14:13 | |
What Douglas did was to measure the differences in temperature | 0:14:13 | 0:14:17 | |
as he rose to different heights through the air, which is | 0:14:17 | 0:14:20 | |
exactly what I'm going to do. | 0:14:20 | 0:14:21 | |
Contact. | 0:14:23 | 0:14:24 | |
Up here, Douglas got an astonishing view of different cloud structures. | 0:15:30 | 0:15:35 | |
At 8,000 feet, | 0:15:35 | 0:15:37 | |
he said he could see the tops of cumulonimbus 100 miles away. | 0:15:37 | 0:15:41 | |
He was one of the first people in the world to realise | 0:15:43 | 0:15:46 | |
how useful airplanes would be in meteorology. | 0:15:46 | 0:15:49 | |
Lovely, thank you very much. It's beautiful. | 0:16:25 | 0:16:28 | |
As we rose through the air, I did manage to write down | 0:16:28 | 0:16:30 | |
the temperatures at different heights, | 0:16:30 | 0:16:32 | |
and even in my very unscientific survey, you can see that | 0:16:32 | 0:16:35 | |
the temperature, as you go up, does decrease fairly consistently. | 0:16:35 | 0:16:39 | |
On the ground it was 12 degrees Celsius. | 0:16:39 | 0:16:42 | |
By the time I got to 1,500 feet, | 0:16:42 | 0:16:43 | |
it was eight degrees Celsius in the air. | 0:16:43 | 0:16:46 | |
The reason Douglas was interested in how temperature changes with | 0:16:46 | 0:16:49 | |
height is because it's such an important | 0:16:49 | 0:16:51 | |
part of understanding how the weather changes. | 0:16:51 | 0:16:54 | |
And that's very closely linked to a question | 0:16:54 | 0:16:56 | |
we all ask ourselves around the British Isles - is it going to rain? | 0:16:56 | 0:17:00 | |
Douglas was investigating the fundamental physics of weather. | 0:17:02 | 0:17:06 | |
Warm air holds more water vapour than cold. | 0:17:06 | 0:17:09 | |
As the air rises, the vapour condenses to form clouds. | 0:17:11 | 0:17:14 | |
And if the cloud becomes too heavy, the water falls as rain. | 0:17:16 | 0:17:20 | |
THUNDER RUMBLES | 0:17:20 | 0:17:22 | |
My own reading showed that the temperature was dropping over | 0:17:25 | 0:17:29 | |
three degrees per 1,000 feet, which is faster than average. | 0:17:29 | 0:17:32 | |
It's probably because the air was quite dry. | 0:17:34 | 0:17:36 | |
Temperature drops faster in drier air. | 0:17:38 | 0:17:40 | |
Because there was less moisture, there were no clouds. | 0:17:42 | 0:17:45 | |
So we had a beautiful day for the flight. | 0:17:45 | 0:17:49 | |
After the war, Douglas became one of Britain's foremost meteorologists. | 0:17:52 | 0:17:56 | |
He wrote ground-breaking papers and became one of the leading | 0:17:56 | 0:17:59 | |
forecasters during the Second World War. | 0:17:59 | 0:18:02 | |
As for Meteor, it finally got its own planes to take readings. | 0:18:04 | 0:18:08 | |
This helped the artillery increase in accuracy | 0:18:11 | 0:18:14 | |
and contributed to the Allied victory. | 0:18:14 | 0:18:17 | |
But the question remained, how could you use all this information | 0:18:20 | 0:18:24 | |
to accurately forecast the weather? | 0:18:24 | 0:18:26 | |
The way ahead lay in physics. | 0:18:33 | 0:18:35 | |
It was known at the time that all the variables of weather, | 0:18:37 | 0:18:40 | |
wind speed, temperature, humidity | 0:18:40 | 0:18:44 | |
are base-specific laws of physics. | 0:18:44 | 0:18:46 | |
But what wasn't known was how to turn the physics into forecasts. | 0:18:50 | 0:18:55 | |
Professor Ian Roulstone is an expert on the terrifyingly complex | 0:18:57 | 0:19:01 | |
maths of weather. | 0:19:01 | 0:19:03 | |
So, let's write down the equations that we use in weather forecasting. | 0:19:03 | 0:19:07 | |
And we'll start what is eventually Newton's law of motion | 0:19:07 | 0:19:10 | |
for the atmosphere. | 0:19:10 | 0:19:12 | |
This tells us how wind speed | 0:19:12 | 0:19:14 | |
and direction is affected by things like that Coriolis effect, | 0:19:14 | 0:19:18 | |
which is due to earth's rotation. | 0:19:18 | 0:19:21 | |
Then, of course, gravity also plays a role. | 0:19:21 | 0:19:23 | |
Then we need to add the pressure gradient term, | 0:19:24 | 0:19:27 | |
and finally we add a term which represents friction. | 0:19:27 | 0:19:31 | |
And that's just for the wind. | 0:19:31 | 0:19:34 | |
You need an equation for air density, | 0:19:34 | 0:19:38 | |
one for pressure related to density and temperature. | 0:19:38 | 0:19:41 | |
You need the first law of thermodynamics. | 0:19:42 | 0:19:45 | |
And you need an equation for water vapour, | 0:19:47 | 0:19:49 | |
condensation and evaporation. | 0:19:49 | 0:19:51 | |
So here we have it, on one board, | 0:19:56 | 0:19:58 | |
all the equations that encapsulate the physics of the atmosphere. | 0:19:58 | 0:20:02 | |
But that's just a theory. | 0:20:04 | 0:20:06 | |
In the real world, all the variables, in all the equations, | 0:20:06 | 0:20:10 | |
act on each other all the time. | 0:20:10 | 0:20:14 | |
So, wind speed and direction responds to changes in pressure. | 0:20:14 | 0:20:18 | |
The changing wind blows clouds around, | 0:20:18 | 0:20:21 | |
so that alters the temperature distribution. | 0:20:21 | 0:20:24 | |
It also alters where moisture is in the atmosphere. | 0:20:24 | 0:20:28 | |
Changing levels of moisture, | 0:20:28 | 0:20:29 | |
whether it's evaporation or condensation, change temperature. | 0:20:29 | 0:20:33 | |
That changes pressure, that changes the wind speed and direction. | 0:20:33 | 0:20:37 | |
So everything is hopelessly interrelated. | 0:20:37 | 0:20:39 | |
How do we unscramble this Gordian knot? | 0:20:39 | 0:20:42 | |
There was one man who decided to take it on. | 0:20:43 | 0:20:46 | |
Lewis Fry Richardson was quite a remarkable mathematician. | 0:20:50 | 0:20:54 | |
He was born in Newcastle in 1881 to a Quaker family. | 0:20:54 | 0:21:00 | |
He studied mathematics at Cambridge University, getting a first, | 0:21:00 | 0:21:05 | |
and then had various jobs, | 0:21:05 | 0:21:07 | |
until he was offered a position in the Met Office. | 0:21:07 | 0:21:10 | |
Richardson's great-nephew remembers him | 0:21:11 | 0:21:14 | |
as a scientist interested in explaining everything. | 0:21:14 | 0:21:18 | |
Even when he poured the water out in a glass and it slightly spilled, | 0:21:18 | 0:21:22 | |
he then told us why the water did spill or didn't spill, | 0:21:22 | 0:21:25 | |
depending exactly on how the water went over. | 0:21:25 | 0:21:27 | |
So everything, everything was studied. | 0:21:27 | 0:21:30 | |
In the First World War, Richardson had a crisis of conscience. | 0:21:30 | 0:21:35 | |
He was working for the Met Office, but it was helping fight a war. | 0:21:36 | 0:21:40 | |
Because he was a pacifist, he didn't want to get involved in fighting, | 0:21:42 | 0:21:46 | |
nor did he want his science to be used in fighting. | 0:21:46 | 0:21:49 | |
So he then resigned and joined the Quakers' Friends Ambulance Unit. | 0:21:49 | 0:21:55 | |
Richardson had decided to help those suffering in war. | 0:21:58 | 0:22:01 | |
He worked on the front line, | 0:22:04 | 0:22:06 | |
driving an ambulance in extremely dangerous conditions. | 0:22:06 | 0:22:09 | |
Between shifts, lodged in a freezing cold billet, he carried out one | 0:22:13 | 0:22:17 | |
of the most remarkable metrological experiments ever attempted. | 0:22:17 | 0:22:22 | |
Richardson brought these with him to the front. | 0:22:23 | 0:22:26 | |
They're weather charts of northern Europe, taken on a specific time, | 0:22:26 | 0:22:30 | |
on a specific day and the data had been collected | 0:22:30 | 0:22:32 | |
by an international conference of meteorologists. | 0:22:32 | 0:22:36 | |
What these charts did was to give Richardson an idea | 0:22:36 | 0:22:39 | |
of the weather at a very specific time. | 0:22:39 | 0:22:42 | |
But what he wanted to do was predict the weather a few hours after this. | 0:22:42 | 0:22:46 | |
It wasn't a forecast as such, more of an exercise to see | 0:22:46 | 0:22:49 | |
if his methods worked. | 0:22:49 | 0:22:51 | |
Richardson had decided the only way to solve the equations | 0:22:53 | 0:22:57 | |
of weather was to break them down into smaller calculations, | 0:22:57 | 0:23:01 | |
each one looking at a part of the problem. | 0:23:01 | 0:23:03 | |
He began by simplifying this map | 0:23:08 | 0:23:11 | |
and drew a series of squares over northern Europe. | 0:23:11 | 0:23:15 | |
What he wanted to do was see if his mathematical equations | 0:23:15 | 0:23:18 | |
could predict the weather in this central area of Germany. | 0:23:18 | 0:23:22 | |
He then entered his data into these computing forms, all 23 of them. | 0:23:23 | 0:23:28 | |
And he used these to carry out even more calculations. | 0:23:28 | 0:23:32 | |
He calculated how winds might affect air pressure, | 0:23:32 | 0:23:35 | |
how air pressure might affect air density and temperature. | 0:23:35 | 0:23:39 | |
He took into account the curvature of the earth, | 0:23:39 | 0:23:42 | |
radiation from the sun and from the ground, | 0:23:42 | 0:23:44 | |
he even had a calculation to work out | 0:23:44 | 0:23:47 | |
how piles of dead leaves might move heat and moisture through the air. | 0:23:47 | 0:23:51 | |
Temperature in the soil, latent heat of evaporation, | 0:23:53 | 0:23:57 | |
character of vegetation, thermal conductivity, | 0:23:57 | 0:24:01 | |
accumulation of sensible heat, | 0:24:01 | 0:24:03 | |
the flux of sensible heat, sheer stress. | 0:24:03 | 0:24:06 | |
The detail in here is incredible. | 0:24:06 | 0:24:08 | |
The work was so complicated, it took him two years - | 0:24:09 | 0:24:13 | |
half the First World War - to complete it. | 0:24:13 | 0:24:16 | |
It's been estimated that Richardson had to solve 60,000 equations | 0:24:17 | 0:24:21 | |
to get to his prediction. | 0:24:21 | 0:24:23 | |
And he did it all by hand, on the Western Front, | 0:24:23 | 0:24:26 | |
in between shifts as an ambulance driver. | 0:24:26 | 0:24:29 | |
It was the world's first attempt at what's now | 0:24:31 | 0:24:34 | |
known as a numerical forecast. | 0:24:34 | 0:24:37 | |
And unfortunately, it was a complete failure. | 0:24:37 | 0:24:40 | |
THUNDER CRASHES | 0:24:40 | 0:24:42 | |
Now, one of his key results was that the pressure would change | 0:24:43 | 0:24:49 | |
over the six-hour period following the observations. | 0:24:49 | 0:24:53 | |
It would change by 145 millibars. | 0:24:53 | 0:24:57 | |
Now, this is an astronomical figure. | 0:24:57 | 0:24:59 | |
It's 100 times bigger than anything realistic. | 0:24:59 | 0:25:03 | |
THUNDER CRASHES | 0:25:03 | 0:25:05 | |
It's the equivalent of a hurricane the size of which has never | 0:25:05 | 0:25:09 | |
happened before or since appearing out of nowhere in Germany. | 0:25:09 | 0:25:12 | |
It seemed either his maths or his method were wrong. | 0:25:18 | 0:25:21 | |
But Professor Lynch decided to go over | 0:25:24 | 0:25:26 | |
Richardson's calculations again. | 0:25:26 | 0:25:28 | |
So, some years ago, I thought it would be very | 0:25:31 | 0:25:34 | |
interesting to replicate his work using a computer and sure enough, | 0:25:34 | 0:25:39 | |
after a very short period, the computer produced the number 145. | 0:25:39 | 0:25:45 | |
So he came up with the same result as Richardson, | 0:25:48 | 0:25:51 | |
proving his maths was right. | 0:25:51 | 0:25:53 | |
The real problem lay in the original data. | 0:25:56 | 0:25:58 | |
Now, Richardson didn't realise this. | 0:26:00 | 0:26:03 | |
His initial data was essentially corrupted by spurious noise. | 0:26:03 | 0:26:11 | |
So it was a matter of making small but subtle alterations | 0:26:11 | 0:26:16 | |
to the initial fields and when this subtle adjustment was made | 0:26:16 | 0:26:21 | |
and the forecast was rerun, the change in pressure | 0:26:21 | 0:26:25 | |
was reduced to something less than one millibar in six hours. | 0:26:25 | 0:26:29 | |
Which, of course, is a realistic number. | 0:26:29 | 0:26:32 | |
So, if Richardson had made some adjustments to his original data, | 0:26:32 | 0:26:36 | |
his forecast could have been much more accurate. | 0:26:36 | 0:26:39 | |
But there was another problem. | 0:26:43 | 0:26:44 | |
You could never do these calculations fast enough to predict | 0:26:44 | 0:26:48 | |
the weather before it happened. | 0:26:48 | 0:26:50 | |
But Richardson had an answer to that, too. | 0:26:50 | 0:26:52 | |
After the war, Richardson published this book | 0:26:54 | 0:26:56 | |
and in here there's an extraordinary passage about something | 0:26:56 | 0:26:59 | |
he dreamed up called the forecast factory. | 0:26:59 | 0:27:02 | |
The forecast factory was Richardson's | 0:27:03 | 0:27:06 | |
strange solution to the problem. | 0:27:06 | 0:27:08 | |
It's so colourful a concept, | 0:27:09 | 0:27:12 | |
it's inspired works of art in the years since. | 0:27:12 | 0:27:14 | |
This was painted by Stephen Conlin in 1986. | 0:27:18 | 0:27:22 | |
It gives us a vivid representation of what Richardson | 0:27:22 | 0:27:25 | |
described in his book. | 0:27:25 | 0:27:28 | |
You can see that Richardson described the round theatre, | 0:27:28 | 0:27:31 | |
something like the Albert Hall, but painted with countries all over, | 0:27:31 | 0:27:34 | |
to make it look like the planet earth. | 0:27:34 | 0:27:36 | |
Around the outside of the globe are a series of boxes filled with | 0:27:37 | 0:27:41 | |
people calculating equations for their part of the world | 0:27:41 | 0:27:44 | |
and controlling all of them in the middle of the globe | 0:27:44 | 0:27:46 | |
is the conductor, | 0:27:46 | 0:27:48 | |
and he's making sure everyone's doing their job at the right time. | 0:27:48 | 0:27:51 | |
On one side, you can see he's beaming some red light, | 0:27:51 | 0:27:54 | |
which shows that those people are making their calculations a bit | 0:27:54 | 0:27:57 | |
too quickly. On the other side, he's beaming some blue light, | 0:27:57 | 0:28:00 | |
meaning they're making their calculations a bit too slowly. | 0:28:00 | 0:28:04 | |
Outside the globe, there's actually people having a game of football. | 0:28:05 | 0:28:09 | |
Because Richardson was clear, he said that people calculating | 0:28:09 | 0:28:12 | |
the movement of the air should also be allowed to enjoy it. | 0:28:12 | 0:28:15 | |
For Richardson, this was a fantasy. | 0:28:17 | 0:28:19 | |
And even to us, it looks highly unrealistic. | 0:28:19 | 0:28:22 | |
But it was actually a glimpse into the future, | 0:28:22 | 0:28:25 | |
because what Richardson had dreamt up here was essentially a computer. | 0:28:25 | 0:28:30 | |
But the data-crunching powers of a modern computer | 0:28:32 | 0:28:35 | |
were still years ahead. | 0:28:35 | 0:28:38 | |
I'd think the significance of what Richardson did can be seen | 0:28:38 | 0:28:42 | |
by reflecting on what we actually do today. | 0:28:42 | 0:28:45 | |
We assemble the observations, we analyse them, | 0:28:45 | 0:28:48 | |
assimilate satellite data and so on, | 0:28:48 | 0:28:51 | |
but the method of solving the equations is essentially | 0:28:51 | 0:28:54 | |
of the same character as the method which Richardson invented. | 0:28:54 | 0:28:59 | |
Richardson may have been a visionary, | 0:29:03 | 0:29:05 | |
but it was clear that using maths was, for now, impossible. | 0:29:05 | 0:29:09 | |
What was needed was a workable model to forecast the weather | 0:29:11 | 0:29:15 | |
with some kind of confidence. | 0:29:15 | 0:29:17 | |
And here, in the northernmost country in Europe, | 0:29:25 | 0:29:28 | |
a major breakthrough would provide just such a model. | 0:29:28 | 0:29:31 | |
Bergen is a city on the coast of Norway. | 0:29:33 | 0:29:35 | |
Often battered by storms and low-pressure systems, | 0:29:36 | 0:29:39 | |
it's an ideal place to study the weather. | 0:29:39 | 0:29:42 | |
Even the local geography makes it a meteorologist's paradise. | 0:29:44 | 0:29:49 | |
And so, here at the west coast of Norway, in Bergen here, | 0:29:51 | 0:29:55 | |
we get the weather systems coming in and here | 0:29:55 | 0:29:59 | |
they are well-behaved in the sense that they have very distinct | 0:29:59 | 0:30:02 | |
structures, they have not been blurred or disturbed by | 0:30:02 | 0:30:06 | |
big modern changes or the heat-land-sea contrast, | 0:30:06 | 0:30:09 | |
so they come in here and we can monitor | 0:30:09 | 0:30:13 | |
or measure these features very well. | 0:30:13 | 0:30:17 | |
A century ago, some extraordinary work was carried out | 0:30:21 | 0:30:24 | |
at the Geographical Institute in Bergen. | 0:30:24 | 0:30:26 | |
A scientist called Wilhelm Bjorknes came here in 1917, | 0:30:30 | 0:30:34 | |
and once again, it was human catastrophe that drove | 0:30:38 | 0:30:42 | |
the next breakthrough in forecasting. | 0:30:42 | 0:30:44 | |
Fisheries was a quite important, and still are important, | 0:30:45 | 0:30:50 | |
activity and source of income in Norway. | 0:30:50 | 0:30:53 | |
And at that time, when Bjorknes came here, | 0:30:54 | 0:30:58 | |
they knew about several incidents where fishermen deceased | 0:30:58 | 0:31:03 | |
and the boat sank due to unexpected weather, so to speak, | 0:31:03 | 0:31:07 | |
so Bjorknes immediately saw that there was a need | 0:31:07 | 0:31:11 | |
for weather forecasts. | 0:31:11 | 0:31:13 | |
Bringing together all the data, they set about tackling the big question. | 0:31:14 | 0:31:19 | |
How do low pressure systems work? | 0:31:19 | 0:31:21 | |
What Bjorknes and his clever students... | 0:31:23 | 0:31:26 | |
They put together this information and they came up with | 0:31:26 | 0:31:30 | |
the pattern or the anatomy of the weather systems. | 0:31:30 | 0:31:33 | |
They discovered two crucial features inside a depression. | 0:31:35 | 0:31:39 | |
The warm front and the cold front. | 0:31:39 | 0:31:41 | |
The theory of weather fronts is something every meteorology student | 0:31:46 | 0:31:49 | |
now learns, even 100 years later. | 0:31:49 | 0:31:52 | |
I'm back at my old university, Imperial College London, | 0:31:52 | 0:31:56 | |
to take a look at today's weather map. | 0:31:56 | 0:31:58 | |
OK, Jo, so we have a map of north-west Europe here. There's the UK. | 0:31:59 | 0:32:02 | |
The Arctic's somewhere up there, so that's north, Greenland. | 0:32:02 | 0:32:06 | |
What else are we looking at on this map? | 0:32:06 | 0:32:08 | |
So, you've chosen a very interesting day to come. | 0:32:08 | 0:32:10 | |
You can see it looks like a real mass, | 0:32:10 | 0:32:12 | |
but there's features on here that you'll see in any weather map, | 0:32:12 | 0:32:15 | |
and particularly you'll see that high pressure's marked with a H | 0:32:15 | 0:32:18 | |
and you'll see the low pressure's marked with an L. | 0:32:18 | 0:32:21 | |
And you'll also see these features, | 0:32:21 | 0:32:22 | |
these lines with marks on, which are the fronts. | 0:32:22 | 0:32:25 | |
Perhaps I could show you a rather simpler version | 0:32:25 | 0:32:27 | |
on the blackboard here. | 0:32:27 | 0:32:29 | |
So, if I stylise the low pressure system as a circle, like this... | 0:32:31 | 0:32:35 | |
And here's the low in the middle here. | 0:32:36 | 0:32:38 | |
And associated with the low pressure, | 0:32:38 | 0:32:40 | |
you get these frontal systems. | 0:32:40 | 0:32:41 | |
And here's the cold front. | 0:32:43 | 0:32:45 | |
And the cold air's coming in from the north. | 0:32:47 | 0:32:49 | |
And here's the warm front. | 0:32:49 | 0:32:51 | |
And the warm air's coming in from the south. | 0:32:52 | 0:32:54 | |
So, this essentially is the structure that was discovered | 0:32:54 | 0:32:57 | |
by the Norwegian school in Bergen, | 0:32:57 | 0:32:59 | |
and it's associated with the cold air in the north | 0:32:59 | 0:33:02 | |
and the warm air in the south and it's where these two air masses | 0:33:02 | 0:33:05 | |
meet that you get the low pressure and the fronts. | 0:33:05 | 0:33:08 | |
-And this is where the weather happens, at these fronts? -That's right. | 0:33:08 | 0:33:11 | |
So, over here we've got a fluid dynamics experiment | 0:33:11 | 0:33:13 | |
which is going to illustrate what happens in a front. | 0:33:13 | 0:33:16 | |
So, we're going to illustrate using water what happens in the air. | 0:33:16 | 0:33:19 | |
How do the things relate? | 0:33:19 | 0:33:21 | |
Well, of course, air is a fluid and it's flowing, and so is water. | 0:33:21 | 0:33:25 | |
And what we're going to do is remove the divider between the two | 0:33:25 | 0:33:28 | |
-and see what happens. -OK. Let's do it. | 0:33:28 | 0:33:30 | |
-Cold water on the left, hot water on the right. -That's right. | 0:33:34 | 0:33:37 | |
So, what we expect to see... | 0:33:37 | 0:33:40 | |
is the cold water flowing underneath the hot water. | 0:33:40 | 0:33:43 | |
So, it's just like in the frontal system. | 0:33:44 | 0:33:47 | |
And the clouds would be forming between those two layers. | 0:33:47 | 0:33:50 | |
'As the warmer air rises, it's cooling, causing clouds and rain. | 0:33:52 | 0:33:57 | |
'The air masses meet along a turbulent boundary, | 0:33:58 | 0:34:01 | |
'like two armies clashing along a front. | 0:34:01 | 0:34:04 | |
'That's why the Bergen School called them fronts. | 0:34:05 | 0:34:08 | |
'It's an echo from a generation | 0:34:08 | 0:34:10 | |
'still scarred by the First World War. | 0:34:10 | 0:34:13 | |
'The theory of fronts showed that Ley was right about cirrus | 0:34:17 | 0:34:21 | |
'clouds decades before. | 0:34:21 | 0:34:22 | |
'Different types of clouds form at different stages | 0:34:24 | 0:34:27 | |
'of the development of fronts. | 0:34:27 | 0:34:29 | |
'And we now know that cirrus clouds are usually the first | 0:34:30 | 0:34:33 | |
'to develop as a warm front advances. | 0:34:33 | 0:34:36 | |
'The theory also helps explain why Britain has such varied weather.' | 0:34:39 | 0:34:43 | |
The UK sits right at the place where a number of different | 0:34:45 | 0:34:48 | |
types of air masses meet. | 0:34:48 | 0:34:50 | |
There's the polar air masses coming roughly from the north, | 0:34:50 | 0:34:53 | |
the continental air masses from the east, the tropical air masses | 0:34:53 | 0:34:57 | |
from the south and the maritime air masses coming from the west. | 0:34:57 | 0:35:01 | |
Over the course of the British year, different types of air masses | 0:35:04 | 0:35:08 | |
meet with varying temperatures and humidity. | 0:35:08 | 0:35:11 | |
Generating the changeable weather we're all so familiar with. | 0:35:13 | 0:35:17 | |
So, with the Bergen School, | 0:35:20 | 0:35:22 | |
meteorologists finally had a way of predicting the weather in Europe | 0:35:22 | 0:35:25 | |
and North America and those latitudes all round the world, | 0:35:25 | 0:35:28 | |
which are all dominated by weather fronts. | 0:35:28 | 0:35:31 | |
Now, the next frontier of forecasting awaited. | 0:35:37 | 0:35:39 | |
In the years after the First World War, on the other | 0:35:42 | 0:35:46 | |
side of the world, meteorologists were facing up to another challenge. | 0:35:46 | 0:35:50 | |
Trying to unpick the complex, interlinked nature | 0:35:51 | 0:35:55 | |
of the world's climate. | 0:35:55 | 0:35:56 | |
Across the Indian subcontinent, flooding, drought | 0:35:58 | 0:36:01 | |
and other natural disasters kill more people than any war. | 0:36:01 | 0:36:05 | |
Even now, extreme weather events are hard to predict. | 0:36:07 | 0:36:10 | |
This is Professor Ram Babu Singh. | 0:36:15 | 0:36:17 | |
He and his students have set up a simple weather station | 0:36:19 | 0:36:22 | |
on top of the campus buildings at Delhi University. | 0:36:22 | 0:36:25 | |
Here we can gauge the temperature, | 0:36:26 | 0:36:29 | |
the latest humidity, rainfall | 0:36:29 | 0:36:32 | |
wind direction, wind velocity. | 0:36:32 | 0:36:35 | |
This is a very small initiative, but through this | 0:36:35 | 0:36:39 | |
we want to develop the culture of monitoring weather, | 0:36:39 | 0:36:45 | |
you know, so that this will become the mass movement in our country. | 0:36:45 | 0:36:49 | |
This data could help predict probably the most important | 0:36:51 | 0:36:54 | |
and mysterious climactic phenomenon in India - the monsoon. | 0:36:54 | 0:36:59 | |
As you know, India has more than one billion population, | 0:37:02 | 0:37:06 | |
and for feeding them, we need agricultural production. | 0:37:06 | 0:37:10 | |
The monsoon is very, very important for our country. | 0:37:10 | 0:37:14 | |
The monsoon rains are brought to India by seasonal winds. | 0:37:16 | 0:37:19 | |
Sometimes they fail to come | 0:37:21 | 0:37:23 | |
and the consequences can be catastrophic. | 0:37:23 | 0:37:25 | |
Continuous, for two years, failure of rainfall | 0:37:27 | 0:37:30 | |
will bring tremendous damage to our society | 0:37:30 | 0:37:35 | |
through loss, through reduction of agricultural production. | 0:37:35 | 0:37:39 | |
Under the British Empire, | 0:37:41 | 0:37:43 | |
monsoon failures caused horrific suffering. | 0:37:43 | 0:37:45 | |
There were fast famines with millions of deaths. | 0:37:47 | 0:37:51 | |
By the time of the First World War, the scientist tasked with | 0:37:55 | 0:37:59 | |
trying to understand why it was happening was called Gilbert Walker. | 0:37:59 | 0:38:03 | |
He was head of the Indian Meteorological Department | 0:38:04 | 0:38:06 | |
and he had some unusual interests. | 0:38:06 | 0:38:09 | |
He would throw boomerangs and projectiles around, | 0:38:10 | 0:38:12 | |
even in front of the Viceroy of India. | 0:38:12 | 0:38:15 | |
Sir Gilbert Walker was really interested in the dynamics | 0:38:16 | 0:38:19 | |
of throwing sticks, of spears, of boomerangs. | 0:38:19 | 0:38:22 | |
And all those sort of things, and to try and understand what were | 0:38:23 | 0:38:26 | |
the fundamental processes involved with aerodynamics? | 0:38:26 | 0:38:30 | |
Walker's fascination with dynamics made him an ideal choice | 0:38:35 | 0:38:39 | |
to tackle one of the most complicated | 0:38:39 | 0:38:41 | |
scientific conundrums of the age. | 0:38:41 | 0:38:43 | |
Planetary dynamics - how does the climate work on a global scale? | 0:38:44 | 0:38:49 | |
During the First World War he was left with the Indian | 0:38:51 | 0:38:53 | |
clerks in his department, a mass of people. | 0:38:53 | 0:38:56 | |
And because there was all this information, predecessors, | 0:38:56 | 0:38:59 | |
he had been looking to try and forecast the monsoon. | 0:38:59 | 0:39:02 | |
What he did was to pull all this information, | 0:39:02 | 0:39:04 | |
all the hydrological and meteorological data | 0:39:04 | 0:39:06 | |
that he had round the world, | 0:39:06 | 0:39:07 | |
and basically to create a human computer, | 0:39:07 | 0:39:10 | |
getting his clerks to work together in mass to do correlations | 0:39:10 | 0:39:15 | |
of all sorts between these variables. | 0:39:15 | 0:39:17 | |
They made some extremely significant breakthroughs. | 0:39:21 | 0:39:24 | |
What he basically found with these Indian clerks | 0:39:26 | 0:39:28 | |
was that there was a pressure fluctuation, | 0:39:28 | 0:39:32 | |
which you called an oscillation, between the Indo-Australasian region | 0:39:32 | 0:39:36 | |
and in the southeastern Pacific region of the globe. | 0:39:36 | 0:39:40 | |
So, when the pressure is high over the Pacific, | 0:39:42 | 0:39:44 | |
it's low over India and vice versa. | 0:39:44 | 0:39:47 | |
The seesaw in pressure is one of the elements in the dynamics | 0:39:49 | 0:39:52 | |
of the climate system over the globe - | 0:39:52 | 0:39:54 | |
its linkages to monsoonal systems like in India. | 0:39:54 | 0:39:58 | |
It's not one-to-one in India but it certainly has an impact. | 0:39:58 | 0:40:01 | |
And so the whole system of the rainfall is related to | 0:40:03 | 0:40:07 | |
the fluctuation in pressure that Walker discovered. | 0:40:07 | 0:40:10 | |
Walker's efforts added another piece to the picture | 0:40:12 | 0:40:15 | |
of our understanding of global dynamics, | 0:40:15 | 0:40:17 | |
and I think he's a person that we really need to really give | 0:40:17 | 0:40:21 | |
high praise to, for his efforts on understanding the climate system. | 0:40:21 | 0:40:25 | |
In the 1920s and 1930s, meteorologists were beginning | 0:40:29 | 0:40:33 | |
to realise the global, interlinked nature of our climate. | 0:40:33 | 0:40:37 | |
But their understanding of our hugely complex atmosphere | 0:40:38 | 0:40:42 | |
was still limited. | 0:40:42 | 0:40:43 | |
Again, it would take a world war to provide more investment, | 0:40:43 | 0:40:47 | |
more challenges and more breakthroughs. | 0:40:47 | 0:40:50 | |
It would also provide meteorologists with their toughest test yet. | 0:40:50 | 0:40:53 | |
When the war broke out in 1939, the Met Office was once more mobilised. | 0:40:59 | 0:41:04 | |
They set up a top-secret camp outside London in Dunstable. | 0:41:06 | 0:41:10 | |
They faced an extremely difficult task, | 0:41:13 | 0:41:16 | |
gathering data in wartime conditions | 0:41:16 | 0:41:18 | |
with the technology available at the time. | 0:41:18 | 0:41:21 | |
The Met Office had thermometers, | 0:41:24 | 0:41:26 | |
had barometers. | 0:41:26 | 0:41:28 | |
They may have had a weather vane, a wind speed indicator | 0:41:28 | 0:41:33 | |
and a device for measuring humidity. | 0:41:33 | 0:41:36 | |
And then they would look out the window | 0:41:36 | 0:41:39 | |
and see what it was doing and they also had... | 0:41:39 | 0:41:41 | |
..the wet finger. | 0:41:43 | 0:41:44 | |
As the war progressed, | 0:41:46 | 0:41:47 | |
a sophisticated system for gathering data was developed. | 0:41:47 | 0:41:50 | |
This included weather ships taking readings out at sea. | 0:41:52 | 0:41:56 | |
And they also had men aboard weather reconnaissance flights. | 0:41:56 | 0:42:00 | |
Long, lonely flights over the north Atlantic. | 0:42:00 | 0:42:03 | |
That gave them a pretty accurate picture | 0:42:03 | 0:42:06 | |
of what was actually happening. | 0:42:06 | 0:42:08 | |
Colin Mentz is one of the few Met Air Observers still alive. | 0:42:11 | 0:42:15 | |
As a teenager, he flew on hundreds of reconnaissance flights | 0:42:16 | 0:42:19 | |
with the RAF, and later in American B-17s. | 0:42:19 | 0:42:23 | |
These are some of the chaps with me. | 0:42:25 | 0:42:29 | |
That's me. Tallest of the lot. | 0:42:29 | 0:42:31 | |
I think the longest flight I ever did was about 16 and a half hours. | 0:42:32 | 0:42:36 | |
I used to enjoy it. | 0:42:37 | 0:42:39 | |
All the time you were keen on looking | 0:42:39 | 0:42:42 | |
out of the window at the weather. | 0:42:42 | 0:42:44 | |
Because you had to make notes | 0:42:45 | 0:42:46 | |
and code the stuff up | 0:42:46 | 0:42:49 | |
to send back, otherwise your flight was wasted. | 0:42:49 | 0:42:52 | |
This is a Met Office weather chart from 1944. | 0:42:54 | 0:42:57 | |
It shows readings which Colin sent back during a flight | 0:42:59 | 0:43:02 | |
from Cornwall out into the Atlantic. | 0:43:02 | 0:43:04 | |
His data was highly important as he was one of the few observers | 0:43:07 | 0:43:11 | |
Dunstable had out to the west. | 0:43:11 | 0:43:13 | |
But it was dangerous work. | 0:43:15 | 0:43:16 | |
23 Met Air Observers were killed during World War II. | 0:43:18 | 0:43:22 | |
PLANE ENGINE ROARS | 0:43:23 | 0:43:25 | |
The most dangerous part was flying at 10, 20, 30 feet above the sea. | 0:43:26 | 0:43:32 | |
It's sometimes very rough. | 0:43:33 | 0:43:36 | |
So, were you ever frightened? | 0:43:37 | 0:43:38 | |
No. Not that I can think of. | 0:43:40 | 0:43:42 | |
Eh... | 0:43:43 | 0:43:44 | |
I thought sometimes that, "I wonder if we'll get back all right." | 0:43:44 | 0:43:49 | |
The Allied forecasting system got many predictions right | 0:43:58 | 0:44:01 | |
and saved lives. | 0:44:01 | 0:44:03 | |
But they still didn't really understand some crucial parts | 0:44:04 | 0:44:07 | |
of the higher atmosphere, and when they got things wrong, | 0:44:07 | 0:44:10 | |
the consequences could be dire. | 0:44:10 | 0:44:12 | |
In the winter of 1943, | 0:44:15 | 0:44:17 | |
Bomber Command launched a series of raids on Berlin. | 0:44:17 | 0:44:21 | |
On the night of 24 March 1944, | 0:44:24 | 0:44:27 | |
a huge fleet of 811 aircraft set off for Berlin. | 0:44:27 | 0:44:33 | |
The original idea was to fly the planes over Denmark | 0:44:37 | 0:44:40 | |
and the Baltic Sea, drop the bombs on Berlin | 0:44:40 | 0:44:43 | |
and then come back as quickly as possible, | 0:44:43 | 0:44:45 | |
avoiding the Ruhr industrial area, which was heavily defended. | 0:44:45 | 0:44:49 | |
Predicting upper air speeds for a bombing run like this was | 0:44:51 | 0:44:54 | |
one of the toughest tasks for forecasters. | 0:44:54 | 0:44:57 | |
That night, the prediction was for winds of around 45mph. | 0:44:59 | 0:45:03 | |
The first wave of bombers took wind finders, | 0:45:05 | 0:45:08 | |
weather observers who sent back reports. | 0:45:08 | 0:45:11 | |
By the time the fleet reached Denmark, | 0:45:14 | 0:45:16 | |
the wind finders were reporting extraordinary winds | 0:45:16 | 0:45:18 | |
coming from the North, air currents up to 130mph. | 0:45:18 | 0:45:23 | |
This was far, far more than expected. | 0:45:23 | 0:45:25 | |
In fact, we now know the planes were encountering jet stream winds. | 0:45:28 | 0:45:33 | |
These are the very same winds which William Clement Ley | 0:45:33 | 0:45:36 | |
had discovered 50 years before. | 0:45:36 | 0:45:39 | |
But still, meteorology hadn't properly understood the phenomenon. | 0:45:39 | 0:45:44 | |
That night, the results were catastrophic. | 0:45:44 | 0:45:48 | |
Even before the Allied planes got to Berlin, they were scattered, | 0:45:48 | 0:45:52 | |
off-target and in disarray. | 0:45:52 | 0:45:55 | |
Then, when they turned westwards to head back to Britain, | 0:45:55 | 0:45:58 | |
the German night fighters were lying in wait. | 0:45:58 | 0:46:00 | |
The Allies were sitting ducks. | 0:46:00 | 0:46:02 | |
72 bombers were destroyed. | 0:46:03 | 0:46:06 | |
Over 500 men were lost. | 0:46:07 | 0:46:09 | |
That night was known for ever afterwards by the RAF | 0:46:11 | 0:46:14 | |
as "the night of the big winds". | 0:46:14 | 0:46:17 | |
This disastrous night was a stern warning for weather forecasters | 0:46:19 | 0:46:23 | |
who had to accept their limitations as well as their successes. | 0:46:23 | 0:46:27 | |
And coming up was the most important forecast of all. | 0:46:27 | 0:46:30 | |
D-Day. | 0:46:30 | 0:46:32 | |
Throughout 1944, the Allies were assembling a colossal | 0:46:39 | 0:46:43 | |
invasion force around the coast of Britain. | 0:46:43 | 0:46:46 | |
11,000 aircraft. | 0:46:47 | 0:46:50 | |
6,000 sea vessels. | 0:46:50 | 0:46:52 | |
150,000 soldiers. | 0:46:52 | 0:46:54 | |
Their target? | 0:46:55 | 0:46:56 | |
The beaches of Normandy, | 0:46:56 | 0:46:58 | |
100 miles in that direction. | 0:46:58 | 0:47:00 | |
As overall military leader, | 0:47:10 | 0:47:12 | |
Eisenhower needed an accurate forecast | 0:47:12 | 0:47:14 | |
for the day he was to invade. | 0:47:14 | 0:47:16 | |
But the Allies had developed a complicated forecasting structure | 0:47:17 | 0:47:21 | |
with three centres. | 0:47:21 | 0:47:23 | |
The admiralty had its forecasters. | 0:47:24 | 0:47:27 | |
There was the Met Office at Dunstable. | 0:47:27 | 0:47:30 | |
And the American Air Force had its forecasters, too. | 0:47:31 | 0:47:35 | |
The forecasters in Dunstable made their predictions | 0:47:36 | 0:47:39 | |
based on the theory of fronts, as pioneered by the Bergen School. | 0:47:39 | 0:47:43 | |
The US Air Force, though, had different ideas | 0:47:43 | 0:47:46 | |
under its chief, Irving P. Krick. | 0:47:46 | 0:47:48 | |
Irving Krick was in the weather business to make money. | 0:47:53 | 0:47:57 | |
And he used his position in the US Air Force | 0:47:57 | 0:48:01 | |
for self-promotion. | 0:48:01 | 0:48:03 | |
He was bombastic... | 0:48:04 | 0:48:06 | |
he was absolutely convinced that he was right. | 0:48:07 | 0:48:11 | |
His reputation among other American meteorologists... | 0:48:12 | 0:48:18 | |
He is considered a charlatan. | 0:48:18 | 0:48:20 | |
Krick advocated a highly unusual method to predict the weather. | 0:48:21 | 0:48:24 | |
Analog theory is the idea that a weather map from history... | 0:48:25 | 0:48:32 | |
is the key to understanding the weather of tomorrow... | 0:48:33 | 0:48:40 | |
because it's based on the notion | 0:48:42 | 0:48:44 | |
that weather repeats itself in cycles. | 0:48:44 | 0:48:47 | |
And it does not. | 0:48:48 | 0:48:50 | |
Irving Krick believed that he could forecast the weather almost anywhere | 0:48:52 | 0:48:56 | |
in the world for a month in advance, because of his analog system. | 0:48:56 | 0:49:01 | |
With different forecasting centres using different methods, | 0:49:03 | 0:49:07 | |
one man was given the job of melding the forecasts into a single report. | 0:49:07 | 0:49:13 | |
A Scotsman called Group Captain James Stagg. | 0:49:13 | 0:49:17 | |
Stagg was an interesting character. | 0:49:22 | 0:49:25 | |
On the outside, his shell was as hard as a conker shell. | 0:49:26 | 0:49:33 | |
On the inside, he was filled with self-doubt. | 0:49:33 | 0:49:37 | |
Would he get it right? | 0:49:37 | 0:49:39 | |
The Allies only had a few dates on which it was possible for them | 0:49:41 | 0:49:45 | |
to invade. They needed the moon and the tides to be perfect. | 0:49:45 | 0:49:49 | |
The first date they set was June 5th. | 0:49:49 | 0:49:51 | |
As the date neared, | 0:49:54 | 0:49:55 | |
Stagg was under extreme pressure to get his forecast right. | 0:49:55 | 0:49:59 | |
One general even said to him that if he got the forecast wrong, | 0:49:59 | 0:50:02 | |
he'd be strung up from the nearest lamppost. | 0:50:02 | 0:50:05 | |
This is a weather map created using original data | 0:50:08 | 0:50:10 | |
from those crucial few days. | 0:50:10 | 0:50:12 | |
It shows the situation at the end of May. | 0:50:12 | 0:50:15 | |
What you can see is that Britain generally has good weather | 0:50:15 | 0:50:18 | |
because of a high-pressure system. | 0:50:18 | 0:50:20 | |
But look out to the west | 0:50:20 | 0:50:22 | |
and you can see some low-pressure systems developing. | 0:50:22 | 0:50:24 | |
They're the counterclockwise winds. | 0:50:24 | 0:50:26 | |
This highly complicated weather map divided the scientists. | 0:50:27 | 0:50:32 | |
The Dunstable forecasters were very worried about the lows. | 0:50:32 | 0:50:35 | |
But Irving Krick was confidently predicting | 0:50:37 | 0:50:39 | |
that the weather would be good enough to invade. | 0:50:39 | 0:50:42 | |
So it was that over those few days, | 0:50:44 | 0:50:47 | |
a tiny weather station on the west coast of Ireland became | 0:50:47 | 0:50:50 | |
the most important meteorological centre in the entire world. | 0:50:50 | 0:50:56 | |
Blacksod Point is a remote spot overlooking the Atlantic. | 0:50:58 | 0:51:01 | |
Vincent Sweeney keeps the lighthouse, | 0:51:05 | 0:51:08 | |
just like his father, Ted, before him. | 0:51:08 | 0:51:10 | |
My dad lived here and he was in the lighthouse, | 0:51:13 | 0:51:16 | |
he was the attendant at the lighthouse here in Blacksod | 0:51:16 | 0:51:18 | |
before he retired in 1981. And then I took over. | 0:51:18 | 0:51:21 | |
The lighthouse is situated in a vital area | 0:51:23 | 0:51:25 | |
for collecting weather data. | 0:51:25 | 0:51:28 | |
It's a strategic location into the North Atlantic. | 0:51:28 | 0:51:31 | |
It's poised right on the tip and any weather systems that come over, | 0:51:31 | 0:51:38 | |
they hit us first. | 0:51:38 | 0:51:39 | |
Blacksod's position made it a very important source | 0:51:42 | 0:51:45 | |
of data for Dunstable, | 0:51:45 | 0:51:47 | |
who had an information-sharing arrangement with the Irish Met. | 0:51:47 | 0:51:51 | |
Just down the road was where the data was collected. | 0:51:54 | 0:51:57 | |
This house here was where the weather station was. | 0:52:00 | 0:52:04 | |
In the garden of the house, as you can see, | 0:52:04 | 0:52:07 | |
where the daffodils are, there, there was some weather instruments, | 0:52:07 | 0:52:10 | |
so this is where all the readings came. | 0:52:10 | 0:52:13 | |
Vincent's dad has passed away. | 0:52:14 | 0:52:16 | |
But his mum Maureen is still alive. | 0:52:16 | 0:52:19 | |
She's 92 years old and still lives at Blacksod Point. | 0:52:19 | 0:52:24 | |
'What was it like during the war around here?' | 0:52:24 | 0:52:26 | |
It was quite enough, you know. | 0:52:26 | 0:52:28 | |
We had plenty of planes overhead, you know? | 0:52:30 | 0:52:34 | |
But the thing is, we didn't know whether | 0:52:34 | 0:52:36 | |
-they were British or German! -SHE LAUGHS | 0:52:36 | 0:52:39 | |
It was a bit frightening, yeah. | 0:52:39 | 0:52:41 | |
Especially at night. | 0:52:41 | 0:52:43 | |
D-Day was approaching. | 0:52:46 | 0:52:49 | |
And the family were asked to take readings every hour. | 0:52:49 | 0:52:53 | |
On the hour, every hour, night and day, Sunday and Monday. | 0:52:53 | 0:52:59 | |
We were told that all reports were the first to show any change | 0:52:59 | 0:53:04 | |
coming in for good weather or bad weather. | 0:53:04 | 0:53:08 | |
On the crucial night, the 3rd of June, | 0:53:10 | 0:53:13 | |
it was Maureen's turn to get up in the middle of the night. | 0:53:13 | 0:53:16 | |
She measured 4-6 winds and a rapidly dropping barometer. | 0:53:19 | 0:53:23 | |
A sign of approaching bad weather. | 0:53:23 | 0:53:26 | |
The figures alarmed Dunstable and they rang Maureen back. | 0:53:29 | 0:53:33 | |
We took the weather in the ordinary way and passed it on. | 0:53:35 | 0:53:39 | |
I wasn't told anything until we got it back again, saying, | 0:53:39 | 0:53:43 | |
"Please check and repeat." | 0:53:43 | 0:53:45 | |
I went back again and I checked. | 0:53:47 | 0:53:49 | |
But it was right. | 0:53:49 | 0:53:51 | |
It HAD dropped. | 0:53:51 | 0:53:53 | |
This is the situation on the morning of June the 3rd. | 0:53:53 | 0:53:57 | |
There's Blacksod Bay on the west coast of Ireland, | 0:53:57 | 0:54:00 | |
where the air pressure is dropping and the winds are on the rise. | 0:54:00 | 0:54:04 | |
As the day progresses, the low gets deeper, the winds get faster | 0:54:04 | 0:54:08 | |
and the low-pressure weather system starts to move | 0:54:08 | 0:54:11 | |
north-east across the Irish coast. | 0:54:11 | 0:54:13 | |
At 4am on the 4th of June, with less than a day to go, | 0:54:14 | 0:54:18 | |
Stagg headed into Eisenhower's office. | 0:54:18 | 0:54:21 | |
He walked into the room full of generals | 0:54:22 | 0:54:24 | |
and told them that the conditions in the Channel would be too choppy, | 0:54:24 | 0:54:27 | |
too much cloud, too many high waves. | 0:54:27 | 0:54:30 | |
The invasion had to be called off. | 0:54:30 | 0:54:32 | |
The future of the war hung on what Eisenhower did next. | 0:54:37 | 0:54:42 | |
You know, the weather outside was reasonably good. | 0:54:44 | 0:54:47 | |
So everybody was a little perplexed by that. | 0:54:47 | 0:54:51 | |
But Eisenhower had taken measure of Stagg | 0:54:51 | 0:54:54 | |
and he knew that he could rely on Stagg | 0:54:54 | 0:54:59 | |
to give him completely unbiased information. | 0:54:59 | 0:55:03 | |
Eisenhower agreed and postponed for a day. | 0:55:05 | 0:55:09 | |
Some of the ships had already set sail and had to return to port. | 0:55:09 | 0:55:15 | |
Stagg was dismayed for much of that day as the weather stayed calm. | 0:55:15 | 0:55:19 | |
But that afternoon, the wind picked up | 0:55:19 | 0:55:22 | |
and the bad weather that he'd predicted swept in. | 0:55:22 | 0:55:25 | |
If the invasion had been held on the night of 4-5 June, | 0:55:27 | 0:55:33 | |
as it was planned, it would have failed. | 0:55:33 | 0:55:35 | |
The results would have been catastrophic | 0:55:35 | 0:55:39 | |
for our own history. | 0:55:39 | 0:55:41 | |
The next day, the weather improved and the invasion was launched. | 0:55:43 | 0:55:47 | |
It was a success. | 0:55:49 | 0:55:50 | |
The Allies gained a crucial foothold in German-occupied France. | 0:55:52 | 0:55:56 | |
To think that so much hinged on a single weather forecast. | 0:55:58 | 0:56:03 | |
GUNFIRE | 0:56:04 | 0:56:07 | |
The D-Day forecast was a triumph. | 0:56:09 | 0:56:11 | |
It showed that the theory of fronts could be used to predict | 0:56:11 | 0:56:14 | |
the weather, at least for the short term. | 0:56:14 | 0:56:17 | |
It was also a success for those meteorologists who understood | 0:56:17 | 0:56:21 | |
that their science had limits. | 0:56:21 | 0:56:23 | |
The Met Office camp at Dunstable is long gone. | 0:56:26 | 0:56:29 | |
On the site now is a school. | 0:56:30 | 0:56:32 | |
Staff and children here have set up a monument and a weather station. | 0:56:33 | 0:56:37 | |
71 members of the Met Office died in World War II | 0:56:39 | 0:56:44 | |
while on active service. | 0:56:44 | 0:56:45 | |
As for Colin Mentz, he flew on D-Day itself. | 0:56:47 | 0:56:53 | |
I can remember travelling over southern England, | 0:56:53 | 0:56:57 | |
saw all the aircraft lined up on the airfields, | 0:56:57 | 0:57:01 | |
and when we came back the next morning, | 0:57:01 | 0:57:04 | |
the airfields were empty. | 0:57:04 | 0:57:06 | |
They'd all gone. | 0:57:06 | 0:57:07 | |
We got the message saying that the invasion of France had taken place. | 0:57:07 | 0:57:14 | |
I turned to the skipper and said, | 0:57:16 | 0:57:18 | |
"Do you want to go over and have a look, Skip?" | 0:57:18 | 0:57:20 | |
-LAUGHING: -He didn't. | 0:57:20 | 0:57:23 | |
Ted Sweeney now lies buried overlooking the Atlantic, | 0:57:26 | 0:57:30 | |
where the D-Day depression first blew in. | 0:57:30 | 0:57:32 | |
And Maureen is still contacted by veterans | 0:57:36 | 0:57:39 | |
who've thanked her for getting her readings correct. | 0:57:40 | 0:57:43 | |
Recently I was reading a piece in an English paper and had Eisenhower | 0:57:44 | 0:57:51 | |
declared war that night or gone to war, it would have smashed America. | 0:57:51 | 0:57:56 | |
-It said that. I should've kept that paper. -'Yeah.' | 0:57:58 | 0:58:03 | |
'So it was your weather report, your barometer reading...' | 0:58:03 | 0:58:06 | |
Yeah, from Blacksod, | 0:58:06 | 0:58:08 | |
above all places! | 0:58:08 | 0:58:09 | |
-SHE LAUGHS -That ended the war! | 0:58:09 | 0:58:13 | |
In the next episode: | 0:58:15 | 0:58:17 | |
Richardson's dream becomes a reality | 0:58:17 | 0:58:20 | |
in the face of some of weather's greatest challenges. | 0:58:20 | 0:58:23 | |
Forecasting becomes a global enterprise, | 0:58:23 | 0:58:26 | |
built on high technology. | 0:58:26 | 0:58:29 |