Browse content similar to 24/12/2016. Check below for episodes and series from the same categories and more!
Line | From | To | |
---|---|---|---|
Now BBC News, Nick Miller finds out how the Snowdon Railway keeps | :00:00. | :00:00. | |
running despite the extreme weather. This time on the weather world we | :00:00. | :00:11. | |
are going up in the world, literally into the mountains of North Wales, | :00:12. | :00:16. | |
and our method of transport may surprise you, it is good to be quite | :00:17. | :00:23. | |
a ride. Also: extreme storms and the battle to survive them, as global | :00:24. | :00:28. | |
temperatures set new records. Winter fights back in the USA, but not in | :00:29. | :00:32. | |
the Arctic. It is still not cold enough on top of the world. Plus, | :00:33. | :00:39. | |
while the winds, how not to get caught out and extreme weather. I | :00:40. | :00:44. | |
will be here at this nature reserve in Kent are taking a look at how the | :00:45. | :00:49. | |
from a quite blue sky day here in from a quite blue sky day here in | :00:50. | :00:53. | |
Kent to the hazards of a hurricane in the Atlantic. And why everything | :00:54. | :00:58. | |
in this Welsh field is not as it seems. The new type of sheep and | :00:59. | :01:01. | |
what it can tell us about the weather. | :01:02. | :01:17. | |
Welcome to weather world. This time we are in the North Wales, in | :01:18. | :01:22. | |
Snowdonia, about to claim the highest peak in Wales, Mount | :01:23. | :01:27. | |
Snowdon, now I am up for a bit of climbing, I am fairly fit, dressed | :01:28. | :01:31. | |
for the part, but I have got an easier option in mind. We are about | :01:32. | :01:34. | |
to take a ride on the historic Snowdon Mountain Railway. If you | :01:35. | :01:39. | |
know anything about this part of the world you will know that this | :01:40. | :01:42. | |
Railway is actually closed in the winter that I have got a special | :01:43. | :01:45. | |
ride lined up on an engine of's train, because I'm going to find out | :01:46. | :01:49. | |
how this Railway copes with the harsh mountain weather. When you are | :01:50. | :01:54. | |
ready. This Railway has been taking people | :01:55. | :02:11. | |
to the summit of Mount Snowdon since 1896. An estimated 12 million people | :02:12. | :02:17. | |
have made that journey since then. The trains normally run from | :02:18. | :02:21. | |
mid-March until November, but it is the weather that dictates the | :02:22. | :02:24. | |
schedule, and they told the weather takes the mountain railway means for | :02:25. | :02:28. | |
the maintenance teams, winter is the busiest time of year. You are the | :02:29. | :02:33. | |
senior engineering manager of the railway here, and already we are | :02:34. | :02:37. | |
getting a sense of the climb we have started. Yes, the railway follows | :02:38. | :02:42. | |
the mountain, maximum gradient is one in 5.5, we have just come up one | :02:43. | :02:48. | |
in 6.2, it alters as we go over the terrain, but it is a steep railway. | :02:49. | :02:53. | |
And we're going 4.95 mph. Mountain railway weather. They too must clash | :02:54. | :03:03. | |
a little bit. They do. Obviously, wind, rain, snow, they all impact on | :03:04. | :03:07. | |
our maintenance activities. Throughout the year. What is the | :03:08. | :03:12. | |
worst element. In the operating season? Wind. We have wind limits | :03:13. | :03:16. | |
for operating trains. And in the winter it is heavy rain, and the | :03:17. | :03:22. | |
lower mountain, and snow on the upper reaches. | :03:23. | :03:24. | |
So you are doing a lot of maintenance and I will see some of | :03:25. | :03:27. | |
that take place and hopefully get stuck in myself. | :03:28. | :03:31. | |
The more the merrier. Looking forward to it. Winter has | :03:32. | :03:35. | |
arrived in Snowdonia but there is no doubt that the main weather story of | :03:36. | :03:44. | |
2016 has been heaped. Record heat. Hurricane Matthew slammed into Haiti | :03:45. | :03:48. | |
in October, killing hundreds as it cut a path from here to the | :03:49. | :03:53. | |
south-east United States. A massive storm, fuelled by warmer than | :03:54. | :03:59. | |
average ocean water. In the Pacific, in September, Taiwan feels the force | :04:00. | :04:07. | |
of the strongest typhoon since 2013. In October, in South Korea, cars are | :04:08. | :04:12. | |
swept down flooded streets in the strongest cyclone there in four | :04:13. | :04:18. | |
years. Rescues in Spain, in December, animal, and human, as | :04:19. | :04:23. | |
torrential downpours lead to flash flooding. But in South America, | :04:24. | :04:30. | |
Rivers run dry. Not enough rain has caused Bolivia to declare a state of | :04:31. | :04:35. | |
emergency facing its worst drought in 25 years. Israel, in November, | :04:36. | :04:40. | |
fighting the flames, as a two-month drought, and arson, led to | :04:41. | :04:45. | |
wildfires. Australia, and beach-goers in Melbourne struggle | :04:46. | :04:50. | |
against strong winds whipped up by approaching thunderstorms. Several | :04:51. | :04:54. | |
people died from a rare thunderstorm asthma in November, after suffering | :04:55. | :04:56. | |
breathing problems from pollen carried by the wind. In the UK the | :04:57. | :05:04. | |
first named a storm of the autumn, Angus, struck in November, wind in | :05:05. | :05:08. | |
the Irish Sea was so strong and this very was stuck there overnight until | :05:09. | :05:12. | |
it was safe enough to dock. Not ideal if it is your maiden voyage. | :05:13. | :05:17. | |
My first time on a boat. We were on there overnight until it was safe | :05:18. | :05:19. | |
enough to dock. Not ideal if it is your maiden voyage. My first time on | :05:20. | :05:22. | |
a boat. We were on there for 24 hours. Sleeping. It was lumpy and it | :05:23. | :05:39. | |
made you feel sick. But I am glad I am off. It is impossible to link one | :05:40. | :05:43. | |
whether extreme to a warming world but scientists say that extreme | :05:44. | :05:45. | |
events are more likely and well before the end of 2016 the year was | :05:46. | :05:48. | |
labelled odds on to become the warmest on record. We have just | :05:49. | :05:51. | |
stepped off the train to see the first piece of work happening on the | :05:52. | :05:54. | |
line. Mike, what are you doing? This is a storage facility for tools, | :05:55. | :05:56. | |
equipment for the railway. To make it safe we are building a platform, | :05:57. | :06:01. | |
and a storage area on the left, and another platform on the right-hand | :06:02. | :06:05. | |
side. And this all needs to happen fairly quickly, doesn't it? Because | :06:06. | :06:09. | |
you have time and weather to think about. | :06:10. | :06:20. | |
We are open again on March and we cannot have any work on the railway | :06:21. | :06:25. | |
from March. It is obvious we quite mild at the moment but we have had | :06:26. | :06:27. | |
freezing temperatures and we cannot lay concrete in freezing | :06:28. | :06:29. | |
temperatures, when it is heavy rain at all wash everything out. Can I | :06:30. | :06:32. | |
get stuck in? By all means, Nigel needs a hand. OK, let's go and find | :06:33. | :06:36. | |
him. Nigel, what do you want me to do? If you just grab hold of that | :06:37. | :06:40. | |
were there, please, mate, and over the top the... That way? I had | :06:41. | :06:46. | |
upside down? But there's a good start. While I | :06:47. | :06:50. | |
try to get the hang of cement work, Sarah looks back at the Atlantic | :06:51. | :06:53. | |
hurricane season. Here I am at the Faversham nature | :06:54. | :07:01. | |
reserve in Kent, it is a great spot for capturing a glimpse of wintering | :07:02. | :07:04. | |
birds that are just settling into their home now for the winter | :07:05. | :07:07. | |
season. Later in the programme we will have more analysis about how | :07:08. | :07:12. | |
the weather impacts migratory birds, earlier this year there was some | :07:13. | :07:15. | |
incredible radar footage of songbirds that appeared to be | :07:16. | :07:19. | |
trapped right inside the eye of hurricane Matthew. Hurricane Matthew | :07:20. | :07:23. | |
was of course the strongest and the most deadly storm of the season. It | :07:24. | :07:27. | |
initially formed off the West Coast of Africa before moving across the | :07:28. | :07:36. | |
Atlantic and strengthening, for a time, two major category five | :07:37. | :07:38. | |
hurricane in the Caribbean. It has been a particularly active her again | :07:39. | :07:42. | |
season this year, partly down to the declining El Nino effect and the | :07:43. | :07:45. | |
return to more neutral conditions in the Pacific. Let's take a look at | :07:46. | :07:49. | |
how the El Nino Southern oscillation has affected this year's hurricane | :07:50. | :07:53. | |
season, and why it has been so intense, especially compared to | :07:54. | :07:59. | |
recent years. In the year up to May 2016, the NSO was in the El Nino, | :08:00. | :08:04. | |
all warm, phase. The warming of the equatorial Pacific often lead to | :08:05. | :08:08. | |
stronger vertical wind sure in the Atlantic, wind shear refers to the | :08:09. | :08:12. | |
changing wind speed, and/ or direction, with height in the | :08:13. | :08:16. | |
atmosphere. Stronger wind shear leads to weaker hurricanes and makes | :08:17. | :08:20. | |
landfall less likely. However, since made of the Pacific has been | :08:21. | :08:24. | |
cooling, becoming more neutral, and is now entering a week phase, or a | :08:25. | :08:31. | |
cool place. Producing the wind shear and hence promoting stronger and | :08:32. | :08:35. | |
more frequent hurricanes. Another major factor in the summer was a big | :08:36. | :08:39. | |
blocking area of high pressure, feeling warm and moist air over the | :08:40. | :08:43. | |
western Atlantic and warming the waters there, by as much as 45 | :08:44. | :08:47. | |
degrees, compared to the average. These warmer waters have provided | :08:48. | :08:52. | |
the fuel to power these huge, formidable hurricanes, that have | :08:53. | :08:56. | |
formed in the region this year. So the very act hurricane season of | :08:57. | :09:06. | |
2016 has now come an end. Join me later in the programme where | :09:07. | :09:09. | |
we will take a more detailed look at some of these migratory birds and | :09:10. | :09:12. | |
just how the weather affects their journey. This railway carries more | :09:13. | :09:15. | |
than 130,000 passengers a year towards Snowdon summit. But some | :09:16. | :09:19. | |
people get there the hard way. On foot. However you choose to go high, | :09:20. | :09:23. | |
you need to respect the weather, and be fully prepared. Climbers battled | :09:24. | :09:29. | |
fierce winds in the Scottish Highlands, in footage released to | :09:30. | :09:33. | |
show just how wild the weather can get. This high, this exposed, it is | :09:34. | :09:41. | |
too late to simply turn back. We have just stepped away from the | :09:42. | :09:46. | |
railway and we can see the Snowdon Peak, here in the Snowdonia Park | :09:47. | :09:50. | |
warden's office, you are one of the wardens, Rhys Roberts, and you are | :09:51. | :09:54. | |
going to show me exactly what I need to be fully prepared to attack a | :09:55. | :09:57. | |
hill or a mountain. So you know, mountains are quite | :09:58. | :10:01. | |
cold, you need warm layers, preferably a base layer first, then | :10:02. | :10:05. | |
a mid-layer, something like a fleece, maybe even two, it is quite | :10:06. | :10:10. | |
cold, and some comfortable, warm trousers as well. I have got jeans | :10:11. | :10:24. | |
on, they are not selling the right thing are they? Not the best, they | :10:25. | :10:27. | |
get cold when they are wet and they are reasonably uncomfortable, so | :10:28. | :10:29. | |
something that will give you one when you are wet is preferable. You | :10:30. | :10:31. | |
also need waterproof layers. Jackets, trousers, I would also take | :10:32. | :10:34. | |
some hats and gloves with me just in case I get wet. Good idea, the right | :10:35. | :10:36. | |
footwear? You would have those boots, at the end there, just | :10:37. | :10:40. | |
generic walking boots. And these are winter boots, they have a stiffer | :10:41. | :10:43. | |
soul. They can support crampons as well which gives you more grip on | :10:44. | :10:47. | |
the ice, they have an essential bit of kit for any snow on the mountain. | :10:48. | :10:53. | |
And if it is very snowy I would need one of these? Another essential | :10:54. | :11:00. | |
piece of kit. An ice axe. It provides some sort of support | :11:01. | :11:02. | |
walking up the mountain and if you slip it can help stop you. I want to | :11:03. | :11:06. | |
know where I'm going but I am OK because I have lovely maps on my | :11:07. | :11:09. | |
phone. They are a start, but you want a proper map and a compass like | :11:10. | :11:13. | |
this. A phone can run out of battery or signal and become useless. That | :11:14. | :11:17. | |
will never fail you. And it sounds obvious, but you need something to | :11:18. | :11:20. | |
eat and drink on the way. Fuel is very important so make sure you pack | :11:21. | :11:24. | |
your lunch and maybe your dinner, and someone drinks if it is called. | :11:25. | :11:33. | |
And check the weather forecast. It sounds obvious but the weather at | :11:34. | :11:35. | |
the top of the mount is often very different from the weather when you | :11:36. | :11:38. | |
set off. Absolutely yes, it can be ten, 15 degrees colder on the | :11:39. | :11:40. | |
mountain than done in the valley, and check the mountain forecast as | :11:41. | :11:44. | |
well because it can be very different to the generic forecast. | :11:45. | :11:48. | |
If I come back and climb in Snowdonia I will, get you as my | :11:49. | :11:52. | |
personal guide, and I promise I will not wear jeans. | :11:53. | :11:56. | |
Still to come: fake flock. What electric sheep can tell us about the | :11:57. | :12:04. | |
weather that we will she cannot. Captured on camera, by BBC weather | :12:05. | :12:08. | |
Watchers, the building of the Queensferry crossing in Scotland, | :12:09. | :12:13. | |
through the changing seasons. In November, Weather Watch celebrated | :12:14. | :12:17. | |
its first anniversary and the number of sky snappers now totals more than | :12:18. | :12:22. | |
hundred and 30,000. For many it is about the beauty of the sky and the | :12:23. | :12:26. | |
scenery around them, and sharing its online. Many people just walk along, | :12:27. | :12:31. | |
with their head down, and they don't look up, they don't see the call, | :12:32. | :12:36. | |
they don't see the sunrise, the sunset, the rainbows, and they | :12:37. | :12:39. | |
thanked me for that, and I think that is probably the most rewarding | :12:40. | :12:45. | |
thing. And you can become a Weather Watch by signing up/ weather Watch. | :12:46. | :12:53. | |
We are taking a look at how the Snowdon railway copes with the | :12:54. | :12:59. | |
amount of weather, we stopped here at the Rocky Valley platform, it is | :13:00. | :13:04. | |
about two thirds towards the summit, the elevation, about 680 metres, | :13:05. | :13:09. | |
already we are above some of the cloud, and you can tell how the | :13:10. | :13:13. | |
weather has changed, it is cold, windy, and of course, all of the | :13:14. | :13:17. | |
track has to cope with these conditions, the heavy rain, the | :13:18. | :13:21. | |
heavy snow, and of course the big change in temperatures from one | :13:22. | :13:25. | |
season to the next. Further up Mike is taking a look at how this piece | :13:26. | :13:30. | |
of track is faring up. So, Mike, how are we doing this? With the system | :13:31. | :13:33. | |
here, a measuring trolley, we will put it on the track, this is | :13:34. | :13:47. | |
going to tell me the distance between the two rails, it is going | :13:48. | :13:50. | |
to tell me the cross level, the height of one rail to the other, and | :13:51. | :13:53. | |
it is going to tell me the twist and the difference. Shall I help you out | :13:54. | :13:56. | |
with that? You can push. All right. I will just gently aged down the | :13:57. | :13:59. | |
track. This is a fairly exposed piece of track so it must get a fair | :14:00. | :14:04. | |
battering. This is one of our sections of track which requires | :14:05. | :14:07. | |
constant maintenance. In the spring this will have moved, and we will | :14:08. | :14:11. | |
come back and do some more maintenance, lifting and packing. We | :14:12. | :14:15. | |
have moved down this short but, let's take a look at what you have | :14:16. | :14:20. | |
learned. This is telling me we travelled 12.75 metres from where we | :14:21. | :14:22. | |
started, telling me that at this particular | :14:23. | :14:35. | |
point the track gauges 806.4 millimetres, and it also tells me | :14:36. | :14:38. | |
that I have a cross level, negative, or 4.9 millimetres. That is a slight | :14:39. | :14:40. | |
twist to one side. Does the track need any work? No, the instrument is | :14:41. | :14:43. | |
telling me it is always intolerant? Very good. Go check some of track | :14:44. | :14:46. | |
line. Thank you very much. We're going to get back on the train back | :14:47. | :14:50. | |
on the move and just a moment, but before we do that it has been a cold | :14:51. | :14:53. | |
start of the Winter here in Snowdonia, but in that direction, a | :14:54. | :14:58. | |
long way in that direction, there is a part of the world that should be | :14:59. | :14:59. | |
very cold, but there is a problem,. If you start removing the | :15:00. | :15:29. | |
reflective sea ice cover than the ocean absorbs the heat instead. So | :15:30. | :15:32. | |
what you see and instead now as winter comes, the Arctic is very | :15:33. | :15:36. | |
one, part about this because now the ocean has to release heat again | :15:37. | :15:40. | |
during the summer, back to the atmosphere before the ice can form. | :15:41. | :15:44. | |
The frozen Antarctic. Records here show that sea ice has not suffered | :15:45. | :15:48. | |
to the same degree as its northern counterpart. But even so, National | :15:49. | :15:53. | |
Snow and ice data Centre scientists say that Antarctic sea ice shrank | :15:54. | :16:06. | |
November low. A warming world does not mean the end of winter weather. | :16:07. | :16:09. | |
In the USA in December, snow and ice caused damage and brought disruption | :16:10. | :16:12. | |
to millions of people. Then there is the occasional wintery surprise. | :16:13. | :16:14. | |
Such is here in Tokyo. Which had its first November snowfall in more than | :16:15. | :16:18. | |
half a century. And this, from Siberia, what looks like rocks on | :16:19. | :16:23. | |
the shore, thousands of natural snowballs. Formed from small pieces | :16:24. | :16:26. | |
of ice rolled over large by the wind and water. We saw earlier how to | :16:27. | :16:33. | |
properly address for the great outdoors, especially, of course, in | :16:34. | :16:36. | |
winter, very important for humans, but you would think that sheep, with | :16:37. | :16:40. | |
their woolly coats, would be good to go, whatever the weather. But there | :16:41. | :16:44. | |
is a unique experiment taking place here at the foot of Snowdon which | :16:45. | :16:48. | |
proves that they feel the weather also. Just like this one. Come on. | :16:49. | :16:54. | |
Let's find you a friend. You are a little bit heavier than I thought | :16:55. | :17:00. | |
you would be. You may have noticed that this is not a real sheep. | :17:01. | :17:02. | |
Neither is this one. Thankfully, that Jones from Banks University is | :17:03. | :17:10. | |
a real human. Why do you have fake sheep? They might be fake but they | :17:11. | :17:13. | |
tell us a lot about real sheep and the environment experience on a | :17:14. | :17:17. | |
farm. We have two things, we have our sheep, we also have a Met | :17:18. | :17:21. | |
station, and the station is measuring song, plus wind, plus | :17:22. | :17:25. | |
ambient air temperature, and those things together tell us how we she | :17:26. | :17:29. | |
was feeling. So on a day like today when it is really windy that must | :17:30. | :17:30. | |
have an impact on how the sheep feels. But how can you tell? | :17:31. | :17:51. | |
It is absolutely so much colder when the wind blows, that is called | :17:52. | :17:53. | |
wind-chill, and for warm blooded animals like us and Toshiba | :17:54. | :17:55. | |
maintaining the core body temperature in these conditions is | :17:56. | :17:57. | |
increasingly hard as the wind blows so what we do with his sheep is we | :17:58. | :18:00. | |
maintain them at 39 degrees, with... This array of heaters. And we also | :18:01. | :18:02. | |
have a microcomputer. And what the computers recording is how much | :18:03. | :18:05. | |
energy the sheep is using to keep that temperature in the prevailing | :18:06. | :18:07. | |
conditions. So we will pop it back in and have a look in a minute to | :18:08. | :18:10. | |
see how much energy she is using. If I was a sheep farmer, what | :18:11. | :18:14. | |
difference does it make to me, this research here? OK, so, for farmers, | :18:15. | :18:19. | |
farming is essentially all about energy, we record the energy that is | :18:20. | :18:29. | |
in that, the food that the animals eat, but there is also energy out of | :18:30. | :18:32. | |
the equation, and whether it's a big part of that, keeping warming | :18:33. | :18:34. | |
conditions uses an awful lot of energy. Can I do something on my | :18:35. | :18:37. | |
farm to help my sheep keep one? Planning your farm was whether in | :18:38. | :18:40. | |
mind, providing shelter the form of trees and hedgerows which they are | :18:41. | :18:42. | |
animals can use could take shelter from the wind especially, and that | :18:43. | :18:49. | |
will reduce the energy used to stay warm. So in the last few seconds she | :18:50. | :18:54. | |
has used a 37 watts just to stay warm. And as the winner gets | :18:55. | :18:56. | |
stronger and the air gets colder there will be more and more energy | :18:57. | :19:01. | |
use. Thank you for showing me the project, I have become quite | :19:02. | :19:04. | |
attached to my fake sheep. It must have a name. This is melon. Nice to | :19:05. | :19:11. | |
meet you, melon. Now, weather and birds. Here is Sarah Lucas again. | :19:12. | :19:16. | |
Welcome back to the nature reserve in Kent, I am joined by Graham Madge | :19:17. | :19:21. | |
of the Met office and previously the RSPB, so Graham, this is a very | :19:22. | :19:24. | |
idyllic and peaceful day in Kent, it is hard to imagine some of the | :19:25. | :19:28. | |
hazards of these birds face on the long journeys, including of course | :19:29. | :19:31. | |
the weather, earlier in the year there were some footage of some | :19:32. | :19:34. | |
birds that appeared to be trapped right | :19:35. | :19:47. | |
inside eye of hurricane Matthew, is this a typical kind of hazard that | :19:48. | :19:51. | |
birds face a migratory journey? The situation is that they are crossing | :19:52. | :19:54. | |
the path, the exact track, that many of or against it, so it is quite | :19:55. | :19:57. | |
likely the birds to get caught up in these weather systems. In fact, we | :19:58. | :19:59. | |
know from the records of bird-watchers and northern Europe | :20:00. | :20:01. | |
that many birds are brought to European shores on the back of these | :20:02. | :20:04. | |
cyclones, as they move up into the north Atlantic, so it is a very big | :20:05. | :20:07. | |
threat that these birds face, it is a very powerful hazard that these | :20:08. | :20:10. | |
birds have to try and cope with them their lives. So I have heard some | :20:11. | :20:12. | |
people say that birds can actually forecast the weather. Is there any | :20:13. | :20:15. | |
evidence or science behind this? It is a classic phrase, one swallow | :20:16. | :20:25. | |
does not make a summer. I think the evidence for but being able to | :20:26. | :20:27. | |
forecast the weather is probably quite thin. But what we do know is | :20:28. | :20:30. | |
that what we do know is that those are affected by the weather, so we | :20:31. | :20:33. | |
all now that we get weather coming from different directions, and that | :20:34. | :20:35. | |
very often can bring birds, associated with it, so we did birds | :20:36. | :20:38. | |
from North America turning up, in Europe, we can get those from the | :20:39. | :20:43. | |
tropical Atlantic, for all sorts of places, so although birds might not | :20:44. | :20:47. | |
be able to forecast the weather, by seeing interesting and exotic birds, | :20:48. | :20:50. | |
it gives you at least an insight into what the weather has been Mike | :20:51. | :20:58. | |
elsewhere in the northern hemisphere. Thank you so much, | :20:59. | :21:01. | |
Graham for joining us. That is it from us here in Kent, despite unique | :21:02. | :21:02. | |
in Snowdonia. We have come as far as we can go now | :21:03. | :21:15. | |
on the Snowdon Railway, this is about three quarters of the way to | :21:16. | :21:18. | |
Snowdon summit, but we cannot get any further, because number one, | :21:19. | :21:21. | |
there is essential track were taken place, and if we did go any further | :21:22. | :21:25. | |
we were just encounter snow on the track anyway, but before we start | :21:26. | :21:28. | |
heading back down the mountain there is one more thing I want to show | :21:29. | :21:32. | |
you, it is something that is crucial to the operation of the railway | :21:33. | :21:40. | |
here, the reason I'm excited as I am a weatherman and I have found a | :21:41. | :21:43. | |
weather station. Nearly at the top of Mount Snowdon. Mike, how | :21:44. | :21:45. | |
important is this piece of kit for you and the railway? It is crucial, | :21:46. | :21:49. | |
it gives us weather information, specifically wind information, for | :21:50. | :21:53. | |
the operation of the trains in high winds we cannot operate. And how do | :21:54. | :21:56. | |
you look at that information, when you are down in the office? This | :21:57. | :22:01. | |
weather station brings data through a data link, we can pick this up on | :22:02. | :22:06. | |
our computers down below, and we can get it graphically. And what is that | :22:07. | :22:10. | |
telling you, from a screenshot of something earlier in the day? That | :22:11. | :22:14. | |
is giving me the wind direction, the wind speed, the temperatures, and | :22:15. | :22:18. | |
crucially, the gust speeds. Because obviously we have got an average | :22:19. | :22:22. | |
speed here, and then we have got dust speed. A gust speeds can reach | :22:23. | :22:27. | |
in excess 130 mph. Talking wind speeds like | :22:28. | :22:44. | |
that, the spring. Let's get this weather station to bed then. As they | :22:45. | :22:53. | |
get to work, and before we go, when is a rainbow not a rainbow? When it | :22:54. | :22:58. | |
is a fork bow. This rare phenomenon was spotted in Scotland in November. | :22:59. | :23:03. | |
Water droplets in four car much smaller than raindrops and as the | :23:04. | :23:06. | |
sun interacts with them the result appears devoid of colour, more like | :23:07. | :23:11. | |
a white rainbow. Still not a rainbow as we know it, but closer, this rare | :23:12. | :23:18. | |
moon boat was England in October, as moonlight, rather than sunlight, | :23:19. | :23:22. | |
interacts with moisture in the atmosphere. And finally, the | :23:23. | :23:26. | |
lighting up of the sky and an imagination, the super moon, seen | :23:27. | :23:30. | |
around the world in the November, the closest the moon has been to the | :23:31. | :23:33. | |
earth in nearly 70 years. Which makes this lucky moment... There you | :23:34. | :23:39. | |
go. An example of picture perfect timing. | :23:40. | :23:45. | |
And that is it for this time on whether world. From Snowdonia, | :23:46. | :23:50. | |
thanks to Mike, our driver, Steve, and ever one of the Snowdon railway, | :23:51. | :23:54. | |
Snowdon summit still awaits me, but I will be back one day. I'll keep | :23:55. | :23:55. | |
checking the forecast. Merry Christmas, let's see what the | :23:56. | :24:37. | |
weather | :24:38. | :24:38. |