Episode Transcript
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0:00
Oh. I explore are you have
0:02
stumbled upon. The. Smartest
0:04
show in the solar system.
0:08
My name's Dan. Welcome to the fun good
0:10
Signs weekly. This is the podcast that towards
0:13
the galaxy we get you back in about
0:15
half an hour. It's quick gonna that's time
0:17
travel I can't explain why. can tell you
0:19
is the brilliant things we've gone the show
0:21
this week. we will actually look ahead to
0:23
next week. Especially what's in the sky.
0:26
Next week we'll find out how we know what,
0:28
whether it's like in the future. Can't
0:31
or what the weather's going to be like
0:33
in a week's time unless you know really
0:35
what it's like now. I. Need to know
0:37
the all over the whole world to predict
0:39
the weather in the Uk in a week's
0:42
time you need to know about the weather
0:44
and from Australia and taught girl America everywhere.
0:47
Also in our quest to
0:49
find the greatest science ever,
0:51
we will look into your
0:53
mind and hear about neuroscience.
0:57
Without being able to remember, we couldn't be
0:59
here. We'll think about not been able to
1:02
remember your breakfast, what you did yesterday, who
1:04
you're familiar, who we are was a person
1:06
is. Absolutely made by ah memories
1:08
or be really difficult to imagine any
1:10
sort of good life without memory. And
1:15
you can learn all about one
1:17
of the most deadly spiders in
1:19
the world. Only. Three year
1:21
is though. they're not actually coming anywhere
1:23
near, so you're fine. Let's get to
1:25
it with a brand new fun kid.
1:27
Science Weekly. And
1:33
will start with your science in
1:35
the news. A sophisticated satellite which
1:37
has been made in a joint
1:39
team of the European and Japanese
1:41
Space Agency's it's launched across the
1:43
atmosphere to measure how clouds influence
1:46
the climate You see some low
1:48
level clouds are known to cool
1:50
the planet but once much higher
1:52
up maybe act as a blanket
1:54
to make a warm as so
1:56
this satellites trying to figure out
1:58
what clouds actually do. How is
2:00
it affecting climate change? It's called the
2:02
EarthCare mission. It will use a laser
2:05
and a radar to probe the atmosphere
2:07
to find precisely what's happening. You see,
2:09
this is amazing, isn't it? We're thinking
2:11
so much about climate change about what
2:14
we do so much
2:16
that we are sending satellites into space
2:18
to look at it from up there. Also,
2:20
the North Atlantic Ocean could
2:23
get as many as seven
2:25
major hurricanes of category three
2:28
strength or more this
2:30
year, which is more than double the
2:32
usual number. That's what the genius is
2:34
over on the United States, where the
2:37
department says. Record high
2:39
sea surface temperatures are partly to brain
2:42
as well as a likely shift in
2:44
regional weather patterns. Now, there's
2:46
no evidence climate change is producing more
2:49
hurricanes, but it is making the most
2:51
powerful ones more likely and it brings
2:53
heavier rainfall, which again shows that what
2:55
we do, how it affects the world
2:57
around us. Think about that.
3:00
Almost, well, more than double the
3:02
normal strong hurricanes that we have
3:05
because of really warm sea temperatures
3:07
and different weathers around the world doing
3:10
something more unusual that we might not
3:12
have expected. And our final story this
3:14
week, London Zoo is looking for you
3:16
to help celebrate its 200th birthday. They've
3:20
got on a history high project which
3:22
wants to build a collection of items
3:24
from the zoo's past to celebrate in
3:26
a big display in 2026. Now
3:30
Tina Campanella is from ZSL London Zoo.
3:32
She's big into the project. Tina, thank
3:34
you so much for being there. Just
3:37
take us back 200 years into the
3:39
very start of ZSL London Zoo. Why
3:41
was it made? What was it doing?
3:43
Well, that is a great question. And
3:46
so ZSL, Zoological Society of London, was
3:48
formed way back in 1826 for
3:52
the advancement of zoological science.
3:54
So essentially it was so
3:56
that people who were fascinated
3:58
by animals could... find out
4:00
more about them because back then we
4:02
didn't really know very much about animal
4:04
biology or in fact anything really. And
4:07
so this group of people got
4:09
together because they wanted to share
4:11
all that knowledge and really further
4:13
that zoological science. And what
4:15
they wanted to do was to
4:17
have a space where those people,
4:19
fellows we called them, could come
4:22
to a space and actually see animals up close
4:24
so they could learn about them with
4:26
them right in front of them. And
4:28
so we created London Zoo, it took
4:31
two years to do that and London
4:33
Zoo opened just to fellows in 1828.
4:35
But 1826 is the moment that we
4:37
decided to form
4:41
the Zoological Society of London. So in
4:43
2026 you're celebrating
4:45
your bicentennial anniversary, right? Your 200th
4:48
birthday. And I
4:51
know the History Hive project is putting on
4:53
quite a good show. What have
4:55
you got for the collection so far? Because
4:57
I know you've been searching. So
5:00
we have an amazing library and
5:02
archive and it's open to the public.
5:04
So anyone can come and see some of
5:06
the things we have or read about
5:08
our past or even read books
5:10
on zoology if you're interested in animals.
5:13
And what we have in there really
5:16
is a collection of our historical records.
5:18
So we have, you
5:20
know, minutes from every single day going
5:22
back to when we first opened, which is
5:24
an incredible resource. And we have some small
5:27
items like for example, we have a few zookeeper
5:29
costumes from the 1930s and the 1960s. And my
5:33
favourite is a soap that we have
5:35
in the shape of a baby polar
5:37
bear that came out in the 1950s.
5:39
And that was to celebrate the birth
5:41
of the first baby polar bear ever
5:44
born in a zoo called Baby Brumas.
5:46
And Baby Brumas was so popular that
5:48
3 million people came to see him
5:51
and or her as she was later discovered
5:53
to be. And a soap company called Cullingford's
5:55
actually created a soap that people could buy
5:57
to commemorate the end of the day. this
6:00
amazing moment. So we have one of
6:02
those. Now what we're looking for is
6:05
things like that really. They might not be
6:07
things that you have. So we're looking
6:09
for a variety of things. We're looking
6:11
for any kind of objects that you
6:14
or your parents or your grandparents might
6:16
have. We're also looking for people's stories
6:18
about London Zoo or Whitsmaid Zoo or
6:20
ZSL in general. If you visited and
6:22
had an amazing moment, maybe your grandparents
6:25
visited and they bring you to the
6:27
zoo today and they have pictures of
6:29
themselves coming to the zoo. Or maybe
6:31
you just had a special moment at
6:33
the zoo and you would like to
6:35
tell us about it. Ultimately, we
6:38
want to say that our history is
6:40
basically part of your history and you're
6:42
part of our history and we want
6:44
to know more about it. Now the
6:46
History Hive project, it wants to build
6:48
a collection of quote
6:50
the tangible and the intangible, which is
6:52
like a wild thing to say. I
6:54
can't get my head around it. What
6:56
do you mean by the tangible and
6:58
intangible Tina? So tangible would be physical
7:01
objects. So if you had a baby
7:03
boomers soap, for example, or if you
7:05
had a zookeeper uniform or something
7:07
else that might be able to help us
7:09
tell a part of our
7:11
story, whereas the intangible is
7:13
more about personal experiences. So
7:16
like I said, if your parents
7:18
got married at the zoo, or if
7:20
you had a visit here that
7:22
was particularly important or if you
7:24
came here and inspired you to
7:26
do something positive for nature, that's
7:29
the kind of intangible things that we're
7:31
talking about. What has a visit to
7:33
London Zoo or which made zoo meant
7:35
to you? And this is a brilliant
7:37
opportunity for you to maybe chat to
7:39
your parents or your grandparents about stories
7:42
to do with the zoo that would never
7:44
normally pop up in chat. So that's a
7:46
brilliant idea. Tina, if someone finds
7:49
stories or finds something floating
7:52
around the loft, How
7:54
can they get in touch? What Do you want them
7:56
to do? So We have set up a special page
7:58
on our website. The really simple form
8:01
for people to fill out an that Through
8:03
that form you can upload images. you can
8:05
upload any footage if you have any any
8:07
footage of a bit of a trip that
8:10
if is hop or you can let us
8:12
know about objects that your your grandparents are
8:14
you family my house and so if you
8:16
had to. W W W.that a
8:19
cell.org Thank. You very much t
8:21
Tina Campanella from London Zoo said a
8:23
cell London Zoo I always love the
8:25
brilliant way they bring their zoos, the
8:27
creatures in and the history of the
8:29
place to live. right? Let's his meal.
8:31
Questions answered Shall we will have another
8:33
expo The show just like Tina in
8:35
a second. If you have any think
8:37
science Edu on on said on this
8:39
podcast make sure you leave it for
8:41
me. Best way is as a voice
8:44
snow on the free Been Gives up
8:46
or upon kids like.com That way you
8:48
can star in the podcast that. Way
8:50
you could be featured, you could be
8:52
the highlight and I can find an
8:54
expert on so what is the you
8:56
once and know? I hear it's question
8:58
from Lucy in Cornwall who is ten
9:00
years old I said as a message
9:03
to me online Dc wants to know
9:05
if you're on a screen in bed.
9:07
why does it make it harder to
9:09
fall asleep While some scientists think it's
9:11
to do with the blue lights you
9:13
see when you're screens. Make.
9:15
Lights When they're showing things, the
9:17
blue light rays in that spectrum
9:20
stimulates the part of your brain
9:22
that makes melatonin. Melatonin is a
9:24
chemical. It's a hormone that controls
9:26
your sleep cycle. It tells you
9:28
when to wake up and went
9:30
to go to bed. So if
9:32
that pop your brain. Is
9:34
stimulated if is says
9:37
making more melatonin than.
9:39
It will confuse it. You. Know
9:41
if it's time to sleep or of it's time
9:43
to wake up the down in your brain. So
9:45
that wasn't I did. The thing is is many phones
9:48
now have a bill in blue light filter. Which.
9:50
Should stop your brain doing this.
9:53
But. then he still com fall asleep. Sometimes
9:55
other experts that think that it simply because
9:57
you are switched on. The. Your brain
9:59
is. Working because you're scrolling your flicking,
10:01
you're seeing so many different things. Maybe
10:03
you're concentrating and that threats switches will
10:05
brighten on more. Which means you know
10:08
already in a sleepy state that you
10:10
may be should be if you're going
10:12
to bed. Lisi. So that's why.
10:14
We. Things. When. You look
10:16
at screens he be trying to go to bed. He'll
10:19
make it harder for you to sleep. Thank you so
10:21
much to the question says the on another one this
10:23
is a voice note sent in that to the free
10:25
fun kids up from a max What? Yeah max. Two
10:29
satellites. Neither were. that's. What? Max
10:31
Thank you very much for your voice.
10:33
Know how the satellites know what the
10:35
weather is gonna be like? It's always
10:37
something that we wander and now we
10:39
can look quite far into the future
10:42
to find the forecast calmly. Let's find
10:44
out more with Douglas Parker, who is
10:46
a professor of meteorology from the University
10:48
of Leeds Douglass Thank you for being
10:50
there. So let's start with that. How
10:52
do satellites know what the weather is
10:55
gonna be like The first? The size
10:57
of satellites. Are just don't notice them
10:59
a seat and space for so they don't really
11:01
know what what the weather's going to be. Nice
11:03
and feature. What? Do they give
11:05
us pictures of the weather's is now. And
11:08
then it's up to a wonderful costa Said
11:10
somebody may be at the mess office to
11:12
look at those places and use those too
11:14
soon. The some what the weather's considered feature.
11:17
And. We also use computers which is based
11:19
on earth and one's face and I am
11:21
but those computers work out what the weather
11:23
will be like using the pictures of yet
11:25
from satellite. So if your computer or if
11:28
you i weather forecast of properly trained in
11:30
it when you see these photos the satellites
11:32
are taking what are you looking at. Usually
11:34
what you're looking at is the clouds but
11:36
you're looking down on them from space. So
11:39
of course we're mostly used to looking up
11:41
at clouds. Are we can
11:43
only see the base of the very close to us we can.
11:45
There's you, the bottom of the clouds. Of Europe
11:47
and space you can see a lot more. can see
11:49
lot more information you can see you know across the
11:51
whole of. England, the whole of Europe,
11:54
And. See can see clients all over
11:56
and wide areas of the world and.
11:58
A. lot of weather forecast is about where the
12:01
weather's going to move. So
12:03
I'm here in Leeds, but if I know
12:06
that it's raining in Manchester and the wind
12:08
is blowing in that direction towards
12:10
me, then that rain might move towards me. So
12:12
if I can see that picture from satellites, and
12:14
I know which way the wind is blowing, I
12:16
can see where the rain might be moving. So
12:20
that's the most important thing we can see is
12:22
the clouds, but then we do have a lot
12:24
of special satellites that show us other things, which
12:27
you can't usually see with your eyes. So they
12:29
can tell us about the temperature, perhaps the temperature
12:31
of the ground. They can see snow on the
12:33
ground. They can tell us how cold the clouds
12:35
are at the top. They can detect lightning. So
12:37
they can tell us where lightning is happening. So
12:40
satellites do give us pictures of things that
12:42
we really couldn't see just from
12:44
looking up from the ground. When we see the
12:46
weather forecast on tele, we often
12:49
hear words like low pressure system,
12:51
high pressure system. How
12:53
are weather forecasters able
12:55
to tell the
12:58
pressure system that we're in and maybe what
13:00
we're moving into in a week's time? So
13:02
the most important thing is to be measuring
13:05
the weather that we have right now. So you can't
13:07
tell what the weather's going to be like in
13:09
a week's time unless you know really
13:11
what it's like now. And you need to know
13:13
that all over the whole world. So
13:16
actually to predict the weather in the UK
13:20
in a week's time, you need to know about the weather right
13:22
across the globe from Australia, Antarctica,
13:25
America, everywhere, because weather patterns travel. They
13:27
move around the world and they can
13:29
move a long way in a week.
13:32
So the first thing is we have to have a
13:34
really good picture of the weather around the world. And
13:37
then from that, we do
13:39
have computers. We still have a lot of calculations.
13:41
And what we put into the computers, the numbers
13:43
that we put in are things like pressure, but
13:45
also temperature, the humidity, the amount of water that's
13:48
in the air, lots of things
13:50
like that. And they go into the computers and
13:52
they do a lot of calculations and they've
13:54
become extremely good at working out these
13:56
kinds of predictions, not to say a week or so in
13:58
advance. I'm in. just
14:00
a second ago that we
14:03
are getting very good at it as
14:05
you said like a week in advance
14:07
how are we improving what are we
14:09
doing differently how are we looking at
14:11
the world and the weather and what's
14:13
happening to get better
14:15
and how much better
14:17
can we become in like 50 years
14:20
time. There has been some very important
14:22
science was done perhaps 50 years ago
14:24
70 years ago which showed
14:26
that there's probably a limit on how
14:28
far we can predict accurate into the
14:30
future so there's a theory which
14:33
is called the theory of chaos which
14:35
says that eventually things
14:37
like the weather become quite chaotic over time
14:39
so even if we know it very well
14:42
you know what the weather is right now there's a limit
14:44
to how far into the future we can predict so
14:47
this is something that we we've known to be
14:49
true for quite some time but at the same
14:51
time the accuracy you know and how far into
14:54
the future we can go is exactly how far
14:56
is not so clear so we
14:58
are improving our weather forecasts all the time and
15:00
what's happened just recently in the last two years or
15:03
so is that artificial intelligence
15:05
so using computers with AI
15:07
or machine learning has
15:09
really taken off and in that we
15:12
can do these computer predictions much much
15:14
faster than we could before but
15:16
what we really don't know is if we will
15:18
be able to make them more accurate and that's
15:21
a really big discussion question with scientists at the
15:23
moment well we shall find that out but for
15:25
now max that is how satellites help us know
15:28
what the weather is gonna be
15:30
like thank you so much Douglas
15:32
Parker for joining us thank you
15:34
thank you to professor Douglas Parker
15:37
for telling us how do satellites know what
15:39
the weather will be like and thank you
15:41
to max for sending in a question if
15:43
you have something sciencey that you want answered
15:45
next week on the podcast make sure you
15:47
leave it as a voice note for me
15:49
on the free fun kids app or at
15:51
fun kids live.com and it's time to travel
15:54
all around the world we do this every
15:56
week to hear about some of the most
15:58
mean weird strange unique deadly things in
16:01
the universe. And
16:05
for this week's Dangerous Dan, we're headed to
16:07
the sands around the south of Africa to
16:10
take a look at a beast that shows
16:12
why often the most dangerous animals don't want
16:14
to come near humans. You'll
16:16
find the six eyed sand spider
16:19
around Namibia and South Africa. They
16:21
are medium sized but with quite
16:23
long legs and a flat but
16:25
beefy body. Their body is
16:28
actually covered in brownish red fine hairs
16:30
which really help it blend in well with
16:32
the sand around it and that's how it
16:34
gets its name. The six eyed
16:36
sand spider. It spends most
16:39
of its time buried under the sand in
16:41
very dry places. It tries
16:43
to avoid all human contact and
16:46
it's brilliant at camouflaging. It
16:48
lies in weight. It's
16:51
an ambush predator so it
16:53
waits patiently looking for prey to
16:55
come nearby when it strikes
16:57
ever so quickly. It
16:59
bites with an incredibly potent
17:02
venom. It's among the
17:04
most dangerous of all the spiders. Its
17:06
venom can kill small animals in a
17:08
matter of hours but it
17:10
doesn't really come into contact with humans
17:12
often. They prefer to stay safe because
17:14
they've got such powerful venom they don't
17:16
want to have to use it on
17:19
something much bigger than them. They want
17:21
to use it on food they need
17:23
to eat. So it tends to keep
17:25
quiet to recluse but if it does
17:27
and if it bites then its venom
17:29
can cause us severe damage. It causes
17:31
necrosis to parts of your body. That's
17:33
when the body tissue dies and maybe
17:35
an entire arm or leg could rot
17:37
off. So it's amazing
17:39
that this beast rarely meets a human
17:41
but when it does the effects can
17:43
be deadly which is why the six
17:46
eyed sand spider goes straight onto our
17:48
dangerous hand list. This
17:52
week on Battle of the Sciences where we try
17:54
to find out which is the greatest
17:56
science ever who should come first
17:59
in their field, we're
18:01
learning what's in your brain, it's all to
18:03
do with what has happened and how
18:05
much that influences you. We're learning about
18:07
the neuroscience of remembering with Professor Alex
18:09
Easton who is good enough to join
18:12
us. Alex, you start off, you have
18:14
one minute to tell us why your
18:16
science should be the greatest of them
18:18
all. That minute starts in three, two,
18:21
one, take it away. Well, it's really
18:23
easy without being able to remember. We couldn't
18:25
be who we are. Think about not being
18:28
able to remember your breakfast, what you did
18:30
yesterday, who your family are. Who
18:32
we are as a person is absolutely made by
18:35
our memories. It would be really difficult to imagine
18:37
any sort of good life without
18:40
memory. But also there's so many
18:42
different types of memories. So whatever you
18:44
want to study, short term memory, long
18:46
term memory like me, memory for facts,
18:48
memory for events, memory for things in
18:50
your life, they're all different. You can
18:52
study different types of memory from different
18:54
types of angles. But really
18:56
the absolute reason why memory is the best.
18:59
Without it, you couldn't do any other science.
19:01
Can you imagine doing any science where you
19:04
couldn't remember the facts or the information you
19:06
had to use to study that science? Quite
19:08
simply, without memory, you've got nothing. Well, there
19:11
you go. You've done it in 50 seconds
19:13
and it's a strong case and it's given
19:15
me so many questions. So
19:17
I guess the big one is what
19:19
do we know about memory because it's
19:22
so different for every single person. It
19:25
seems quite hard to
19:27
define, right? So what
19:29
do we know about how we
19:31
remember things? There are so
19:33
many types of memory. I think what's really
19:35
important is that when you talk in everyday
19:38
life about memory, it feels like it's one
19:40
thing, but it simply isn't. Memory
19:43
for information, facts, knowledge, that
19:46
all resides in one part of the
19:48
brain. Memory for what you had for
19:50
breakfast is in another part of the
19:52
brain. All these things are slightly
19:54
different. So let me talk just about the memory that
19:56
I study, which is long-term memory, memory free events, memory
19:58
for what you have for the brain. for breakfast,
20:00
memory for what happened yesterday. What
20:04
we know about that is there's a region
20:06
in the brain called the hippocampus. Without that
20:09
structure, you just can't remember these long-term events
20:11
in your life. In the 1950s,
20:14
a very, very famous patient called Henry
20:16
Mleisen had surgery to remove
20:18
his hippocampus. And for
20:20
the next 50 or so years of his
20:22
life, he simply couldn't learn any new facts
20:25
in his life. And just imagine
20:27
what that's like. Imagine not being able
20:29
to remember what you did yesterday,
20:32
who the person you're having a conversation is.
20:34
So all these things
20:36
are really important, but the hippocampus is absolutely
20:39
crucial. Now that doesn't mean we know exactly
20:41
what it does. That's a really interesting question.
20:43
We know bits and pieces about what it
20:45
does, but we don't know how
20:47
we put all of that together to get
20:49
the experience that we have when we remember.
20:51
What are memories stored as?
20:53
If we think of it a bit like a
20:55
filing cupboard, you know, and we might write something
20:58
down to ourselves, stick it away, and then we
21:00
come back to it a few years later. And
21:03
we know that so much of our body is
21:06
powered by electrical signals. When
21:09
I'm remembering what I
21:11
did on holiday 10 years
21:13
ago, I can see
21:15
the image, I can see the picture. What's
21:18
going on in my brain there in the
21:20
hippocampus? What is it being
21:22
stored as this information? It's a really, really
21:24
important question. We all, when we have that
21:26
experience of having a picture in our heads
21:28
of a memory, we think it's
21:31
like taking a video or taking a photo on
21:33
our phone or anything like that. And it simply
21:35
isn't what we're absolutely not doing in our brains
21:38
is storing an image. What
21:40
we are doing is rebuilding
21:42
an idea. So
21:46
in a way, what we learned
21:48
about 100 years ago was that
21:50
memories aren't completely accurate. What
21:52
we have is rules about how the world works.
21:55
And we use those rules to rebuild our memories.
21:57
So we only need to know a little bit
21:59
of information. information and then we
22:01
use rules about the world to rebuild it. So
22:04
it's a bit like the way chat
22:06
GPT works to take information that's available
22:08
to us and use rules about the
22:10
world to build sensible things.
22:13
So there's loads of memories you have that aren't
22:15
actually real but what they are is
22:18
a best guess using some of
22:20
the bare-bone information you've remembered
22:22
and the scaffolding from
22:24
facts that you know to build
22:27
an experience that you have as memory. And
22:29
my last question I always ask this to
22:31
scientists. Let me throw you forward say 30-40
22:33
years whenever it is you hang up your
22:36
lab coat and stethoscope. What's one thing that
22:38
you really want to know when
22:40
you call a time when your career? What question
22:42
do you really want answered? I think it's what
22:45
you said a minute ago. It's
22:47
what is a good memory. So
22:49
I've just said memories all sorts of different
22:51
types of memory. But what happens
22:53
in the real world when you use all
22:56
those things at once? It's like a group
22:58
of people working together in a football team
23:00
or something like that. The team is better
23:02
than any individual player. So how
23:04
is memory in the real world better
23:06
than any type of memory on its
23:08
own? That's a really big question. I'd
23:10
love to be able to answer that.
23:12
Well, let's hope we remember the neuroscience
23:15
of remembering us as the greatest science.
23:17
It's been a pleasure to chat. Alex
23:19
Easton, thank you for joining us. Thanks
23:21
very much. What do you think? Is
23:23
neuroscience is the study of what's happening
23:25
deep down in your mind? Is it
23:27
the best science of them all? I've
23:31
loved chatting to so many different experts. I don't think
23:33
we found the very best in the battle of the
23:35
sciences yet. So we'll have another one on next week.
23:37
Now, earlier on in the show, we heard
23:40
from Douglas Parker, right, who answered
23:42
Max's question all about satellites and
23:44
how they know what the weather
23:46
will be like. Well, it's
23:48
got me thinking about a brilliant series that
23:50
we do called Deep Space High. You might
23:52
have heard on the podcast before. It's
23:54
all about the smartest school in the solar
23:56
system. It's Professor Pulsar.
23:58
He teaches there. He is a
24:01
genius and he's done a really good
24:03
lesson with more about weather,
24:06
just like Douglas Parker's chat earlier. So
24:08
I thought we'd take a listen to
24:10
find out how satellites study weather, how
24:13
they also measure pollution and keep an
24:15
eye on global warming too. Deep space
24:17
high, space kink with the science and
24:19
technology facility people. Hey,
24:23
remember, we're in.
24:28
Why are you cussing
24:30
in your face with
24:34
that gloop? It's
24:37
not gloop, it's
24:40
back to five million sunblock. Space
24:47
weather forecast said strong solar winds
24:49
and we have super sensitive skin
24:51
on my planet. Yeah, but weather
24:53
reports aren't always right though, are
24:56
they sir? Perhaps,
24:58
but that's why weather satellites are especially
25:00
important and they also happen to
25:03
be the next stop on our space camp tour.
25:05
Buckle up everyone. Weather
25:11
observation is very important, especially for a
25:13
planet like Earth where there are living
25:15
things, not least people like you Alex.
25:18
It isn't just to tell people if they need to
25:20
take an umbrella, it can save lives. Where
25:24
does weather come from? That's a very good
25:26
question bloke and I'm glad you asked. Whether
25:28
it's clear or cloudy, hot or cold
25:30
or dry or wet. It's always
25:33
wet where I live. Thank you Alex. Well
25:36
it all depends on the movement of
25:38
the air and air moves because of
25:40
temperature and moisture differences that are incredibly
25:42
difficult to keep track of. Satellites
25:44
do a really good job of monitoring the
25:46
weather to help the forecasters work out what's
25:48
likely to happen next. Hey,
25:52
I left. That's one of the meteor sats
25:54
flights. So, is that
25:58
like watching the clouds? ...a
26:00
cloud, storm below, and sending
26:02
the images back to Earth. That's right, but
26:04
it's not just rain clouds and storms they can see.
26:07
These clever devices can pick up all sorts.
26:09
Sam storms, volcanic ash blowing across the globe.
26:11
And if we go up to the dark
26:13
side of the Earth where it's night time,
26:15
you'll see something else they can hold. Oh
26:20
wow! You can see all this
26:22
city lights wrinkled over the planet in the
26:24
dark. Exactly. City
26:26
lights might look pretty, but they're actually a type of pollution,
26:29
and one that weather satellites can monitor. They
26:32
can also measure more well-known types of pollution
26:34
too, like smoke clouds or even oil spills.
26:37
Sir, I can't help you
26:39
because of my environment. Exactly.
26:42
For where there is damage done to the environment, satellites
26:45
can see how bad things are, like
26:47
measuring the hole in the ozone layer. Look
26:50
out, we're approaching crisis. Yes, it is enormous. Cryosat is
26:52
an Earth observation satellite that's
26:54
main job is to monitor the thickness of the ice
26:56
at the poles. As the planet warms, the ice melts
26:58
and this means sea levels rise. Cryosat
27:01
can keep track of the changes to help people on
27:04
Earth understand what's going on. Global warming is no joke.
27:07
OK, global warming definitely isn't a joke.
27:11
But he's a great weather joke, sir. What's the problem
27:13
with the weather? OK,
27:15
global warming definitely isn't a joke.
27:18
But he's a great weather joke, sir. What
27:20
does a rain cloud wear? Sons
27:23
of pants. You
27:26
should have seen that one coming. And
27:41
that is it for this week's Fun Kids Science Weekly. Thank
27:44
you very much for listening. Thank you for all
27:46
our geniuses for coming on. If you have something
27:48
sciency that you want answered next week on the
27:50
podcast, make sure you leave it as a voice
27:52
note for me on the free Fun Kids app
27:54
or at funkidslive.com. You've heard some brilliant podcast series
27:56
today with Deep Face Eye. We've got
27:58
more of that and loads more. or on
28:00
Google, Apple, Spotify, wherever you get your shows, it's on
28:03
the Free Fun Kids app too. And Fun Kids are
28:05
our children's radio station from the UK, listed
28:07
all over the country on the Free
28:09
Fun Kids app on our website. And if
28:11
you've got a smart speaker, wake it up and ask it
28:13
to play Fun Kids.
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