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This is geology bites with all 
of us trampled. 

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The Earth's magnetic field 
changes over time. 

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In fact, there have been 
frequent reversals in the 

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direction of the field with the 
North and South magnetic poles 

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switching places. 
We tend to think of these 

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changes as applying to the whole
globe. 

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But in addition to this temporal
element to the magnetic fields 

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variability, there is also a 
spatial element with the field 

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changing very differently in 
different places across the 

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planet. 
Cathy Constable is a professor 

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at the Scripps institution of 
oceanography. 

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She measures the remnant 
magnetism in rocks and human 

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artifacts around the globe to 
reconstruct. 

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Not just the variations of the 
Earth's magnetic field as a 

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whole but also its spatial 
variations across the globe over

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geological time Kathy Constable.
Welcome to geology bites. 

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Hello. 
It's nice to be here. 

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It seems hard enough to 
reconstruct the history of the 

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Earth's magnetic field in one 
dimension. 

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The temporal one but I'm 
covering the spatial 

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distribution of the field over 
time seems really challenging. 

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Are you really able to create a 
spatial map of the field at 

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different times over the past? 
Yes, but the map is a little bit

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crude the temporal Dimension as 
you describe. 

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It really only reflects the fuel
that we might expect from a 

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magnetic dipole. 
If we Imagine The Familiar 

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permanent bar magnet at the 
center of the Earth. 

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But we really know that the 
field is more complicated 

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because it's driven by 
convection in the liquid outer 

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core. 
So if we have better mapping in 

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both space and time that's 
actually essential to getting 

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better acquainted with what's 
going on in the core and we've 

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been successful in building more
detailed time-varying spatial 

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maps for the past 10,000 and the
past hundred thousand years. 

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The temporal resolution is 
better for the more recent times

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and in both cases as I said the 
spatial It's a bit crude. 

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It's still only on rather large 
scales. 

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So what are the materials you 
analyze to do this work? 

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There's a broad range of 
materials actually human 

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artifacts that have been heated 
to a high enough temperature to 

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reset the magnetization as they 
cool in place. 

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That would be things like fired 
Pottery bricks Hearth. 

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Swear. 
They've been high temperature 

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fires Kilns and there's a 
decreasing number of these human

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artifacts as one goes back in 
time and Beyond about 3,000 

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years ago. 
There aren't that many of them 

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and the spatial distribution is 
limited by human activity rocks.

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In fact cover a much broader 
temporal range and if we think 

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about lava flows, they solidify 
and cool and then they preserve 

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an instantaneous geologically 
speaking spot record of the 

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field like and Marine sediments.
Give a more continuous record. 

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One that tends to be smoothed In
Time by an amount that's 

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dependent on the sedimentation 
rate. 

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So all of these things 
contribute to our spatial 

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reconstructions so are such 
suitable materials conveniently 

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distributed across the globe for
you to collect now that lost all

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convenient as you know, there's 
about 70% of the earth's surface

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is ocean. 
There's a lot more ocean in the 

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southern hemisphere than in the 
northern hemisphere. 

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So there's a Each challenge in 
the distribution between this in

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the Southern Hemisphere and it's
also true that there's less 

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human activity at high latitudes
and fewer human artifacts there 

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and if we look at Marine 
sediments, which can be 

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recovered from the ocean. 
They tend to have lower 

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accumulation rates than the 
things that you get on land when

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Lake sediments. 
So the temporal resolution isn't

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as good it seems as if we can 
get pretty good record of 

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reversals from Many many 
magnetic stripes that are frozen

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into the ocean crust as it's 
formed and spreads on either 

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side of the mid-ocean ridge. 
Are these some of your best 

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sources there are very good on 
some time scales. 

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What happens is that the 
magnetic stripes are limited by 

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the processes forming the ocean 
crust. 

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And also by the fact that 
measurements are usually made at

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the ocean surface several 
kilometers from the source. 

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So what happens is that at the 
temporal resolution is actually 

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a lot better in lava flows and 
sediments with high accumulation

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rate and they do a better job. 
And so there are some fortunate 

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geological circumstances where 
for example and steen's mountain

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in Western North America 15 
million years ago. 

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There were a series of lava flow
eruptions that provided a 

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wonderful record of magnetic 
reversal and you can actually 

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see the evolution of this 
magnetic reversal through A 

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record preserved in these lava 
flows and they're also records 

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and sediments as an example from
Italian segments. 

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And these two records are very 
interesting because even though 

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they are somewhat controversial 
they preserve very high rates of

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change or appear to preserve 
very high rates of change in the

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magnetic field by matter of 
degrees per year in terms of the

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direction and that's something 
that is not necessarily 

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completely expected. 
And we're exploring a lot 

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further as part of the work that
we're doing where we build a 

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global view of what's going on 
in four more recent time. 

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These things can really give us 
very good temporal resolution. 

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Tell us a bit more about why we 
are so interested in 

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reconstructing the spatial 
distribution of the field. 

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So my interest is purely in the 
geomagnetic record and getting a

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better understanding of how the 
magnetic field is produced in 

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the Earth's core and what Rolls,
its variability if we think 

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about the limitations of the 
seafloor Stripes, they tell us 

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about normal or reverse polarity
protection rather than the 

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details of field strength 
variations. 

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And the resolution is typically 
no better than about 20 to 40 

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thousand years. 
They also only give us the 

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polarity of the field. 
They don't give us the details 

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of directional variability or 
even feel strength variability 

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around the globe and the 
spatial. 

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Structure of the field does vary
with time and the rates of 

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change in the field also depend 
on location and strength. 

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So we have to go to a broader 
understanding of the spatial 

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scales to get this now numerical
simulations of the core field 

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provide another way to look at 
how the field might vary in time

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and space but they also have 
limitations we know the 

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equations to use but it's not 
currently possible to do the 

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computations with the right 
values for core properties. 

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And why is that The reason is 
that the core properties are 

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just very challenging for 
numerical simulations the 

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viscosity in the core turns out 
to be very low what that means 

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is that the numerical 
simulations would ideally have 

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very high spatial resolution. 
They take very short time steps 

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in order to resolve what's going
on on very small spatial scales.

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And that's very numerically 
challenging. 

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The viscosity is basically 
expressed in the dimensionless 

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Ekman number. 
And it's effectively orders of 

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magnitude too high in the 
numerical simulations that were 

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currently using. 
It's too hard to compute if we 

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use the correct numbers and what
happens then is that there are 

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issues in converting the non 
dimensional numbers that are 

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used in these simulations in the
equations and these simulations 

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to actual dimensional time 
scales for the Earth. 

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Usually we have to choose 
between scaling according to an 

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advection or a diffusion time 
scale depending on what we're 

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interested in and the relative 
importance of advection versus 

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diffusion in the processes. 
We're looking at so diffusion is

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basically what happens as a 
result of ohmic heat losses in 

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the core. 
So electrical losses lose energy

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in the magnetic field because of
the finite conductivity of the 

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core the advection basically is 
a product of the convection that

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drives the magnetic field in the
core and with advection what 

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happens is that on short time 
scales and large length scales 

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the advection carries the field 
around with the fluid and we can

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see this actually in maps of the
modern-day field where you can 

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see some features of the field 
that are basically drifting 

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Westward or moving around the 
polar region, and the advection 

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is Anton short time scales, 
whereas on longer timescales the

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diffusion becomes important and 
that's one of the things that 

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has to play into the loss of 
energy in the dipole part of the

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field when you get an Excursion 
or a reversal just to come back 

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to the problem of getting the 
right viscosity into the models 

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roughly. 
What is the viscosity of the 

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core? 
Can you compare it to something?

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We're familiar with the 
viscosity of the core is really 

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like that of water. 
And you might contrast that with

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the silicate mantle of the 
earth, which has a viscosity 

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that is orders of magnitude 
higher and therefore the time 

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scales for convection in the 
mantle are much much longer than

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they are in the core. 
If you think about the 

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convection advection timescales 
and the core there of the order 

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of hundreds of years versus We 
Believe millions of years for 

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most of the processes that are 
going on in the man. 

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And so we're trying to mimic the
viscosity in the core the best 

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numerical simulations right now 
are using this dimensionless 

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Eggman number that I mentioned 
of the order of 10 to the minus 

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6 or 10 to the minus 7, and we 
believe that the correct number 

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for the core is somewhere 
between 10 to the minus 10 and 

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10 to the minus 15. 
Wow, not even close not even 

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close and that's why we have to 
be very careful about drawing 

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reliable physical conclusions 
about what's going on in the 

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core from Um these numerical 
simulations, it's not that 

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they're wrong in what they do. 
It's that they're just not 

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necessarily completely 
appropriate for what we want to 

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use them for when we're 
comparing with the geomagnetic 

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field. 
So we're mapping the field here 

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on the Earth's surface with the 
goal of improving our 

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understanding of what's going on
in the core, but between us and 

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the core lie 29 hundred 
kilometers of mantle Is the 

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mantle completely transparent to
the magnetic field? 

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No, it's not but it's is to a 
good approximation for what we 

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do the mantle is basically made 
of silicates and it has a finite

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but low electrical conductivity 
the conductivity and the core is

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much much higher. 
In fact studying. 

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The conductivity of the mantle 
is another field entirely in its

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own. 
Right and that's done using 

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magnetic and electrical data as 
well. 

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So the effect of the mantle when
we're looking at the signal 

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that's coming out of the corps 
is basically to smooth things 

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out. 
That's what we could call a 

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temporal damping in the signal 
so that everything that comes to

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us is smoother over a period of 
a few months so we can't detect 

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very short-term variations that 
might be going on in the core 

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and that's the main effect and 
it doesn't matter for the 

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purpose of looking at paleo 
field structure because The 

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temporal resolution that we have
in the best of circumstances 

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might be a decade to a hundred 
years. 

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What kind of things are. 
We looking to pin down better 

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using your spatial measurements?
Can you constrain the values for

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example of the various 
parameters that you mentioned 

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the viscosity in the Ekman 
number and there's also the 

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rally number which defines the 
amount of energy in the 

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convecting core. not directly 
the best estimates that we have 

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for these parameters basically 
come from mineral physics and 

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petrology and our understanding 
of the materials in the core and

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the temperature of the court but
in the spatial representations, 

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we had we can look at 
representative properties of the

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Earth's field and we can compare
them with the results from 

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simulations to decide if the 
simulations are doing a good job

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and one issue that we Address, 
which is an interesting one is 

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whether there are long-term 
Geographic variations in the 

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spatial structure that reflects 
boundary conditions at the 

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core-mantle boundary. 
For example, there's some 

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evidence that the field appears 
to be more active in the 

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Southern Hemisphere and also 
more active in the Atlantic than

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in the Pacific region and this 
Builds on a bigger picture that 

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we get from seismic tomography 
which supports differences in 

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the region around the core 
mantle. 

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A boundary. 
So that's something that we can 

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actually see the consequence of 
in the magnetic measurements and

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we can then go back to the 
numerical simulations and say 

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well actually if you want to get
a realistic representation of 

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the geomagnetic field, you need 
to include these spatially 

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varying boundary conditions in 
the numerical simulations, and 

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that's one part of it. 
And then there are other things 

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that are harder to deal with in 
terms of the constraints. 

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Which we don't really have a 
systematic way of addressing. 

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You said the actually doesn't 
generally conform to a simple 

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dipole. 
But can you describe what your 

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spatial-temporal map of the 
Earth field actually does look 

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like Yes, it depends on the time
interval that we look at if we 

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look at long-term averages over 
say a million years. 

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It does look a lot like a simple
dipole with Direction varying 

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around the earth as you might 
expect for a simple bar magnet 

232
00:14:25,800 --> 00:14:29,200
at the center of the Earth. 
But over time the direction and 

233
00:14:29,200 --> 00:14:32,100
the magnitude can vary a lot and
it doesn't always look like a 

234
00:14:32,100 --> 00:14:35,500
dipole. 
So as I mentioned on average 

235
00:14:35,500 --> 00:14:39,000
there are indications that you 
see more activity. 

236
00:14:39,100 --> 00:14:42,400
In the field variations in the 
southern hemisphere than in the 

237
00:14:42,400 --> 00:14:46,300
north and also in the Atlantic 
hemisphere, the piece of the 

238
00:14:46,300 --> 00:14:50,500
earth that includes the Atlantic
and the Indian Ocean versus the 

239
00:14:50,500 --> 00:14:55,500
Pacific Hemisphere and the Lush 
amp Excursion, which occurred 

240
00:14:55,600 --> 00:14:59,600
about 41,000 years ago is one 
example where the dipole and 

241
00:14:59,600 --> 00:15:02,500
overall field decays and 
strength and structures really 

242
00:15:02,500 --> 00:15:07,200
get quite complicated rates of 
change in the field can also be 

243
00:15:07,200 --> 00:15:11,400
quite variable over. 
Time and also with position and 

244
00:15:11,400 --> 00:15:14,400
we can actually estimate these 
from our time varying 

245
00:15:14,400 --> 00:15:17,900
representations. 
So we find the fastest 

246
00:15:17,900 --> 00:15:21,100
directional changes in 
Equatorial to mid-latitudes. 

247
00:15:21,600 --> 00:15:24,000
We find the fastest field 
strength changes at high 

248
00:15:24,000 --> 00:15:28,500
latitudes and the most rapid 
directional changes occur when 

249
00:15:28,500 --> 00:15:30,900
the field strength is lower. 
You mentioned the LaShawn 

250
00:15:30,900 --> 00:15:33,300
Excursion. 
What exactly is that? 

251
00:15:33,300 --> 00:15:36,600
Is that a very special occasion 
or was it just the most recent 

252
00:15:36,700 --> 00:15:41,300
such event? 
So we think that excursions are 

253
00:15:41,300 --> 00:15:47,100
basically failed reversals that 
they occur when the field 

254
00:15:47,100 --> 00:15:52,900
strength drops and in principle,
the magnetic field could reverse

255
00:15:52,900 --> 00:15:56,200
but something prevents that from
happening and one possible 

256
00:15:56,200 --> 00:16:02,100
reason that might be is that the
reverse field isn't able to 

257
00:16:02,200 --> 00:16:05,500
establish a hold in Earth's 
solid inner core. 

258
00:16:05,800 --> 00:16:08,300
And so it's just kind of moving 
around. 

259
00:16:08,600 --> 00:16:11,500
In the outer core and then the 
inner core which retains the 

260
00:16:11,500 --> 00:16:16,100
original polarity allows the 
original dipole polarity to 

261
00:16:16,200 --> 00:16:21,000
reassert itself over time. 
So there are lots of excursions 

262
00:16:21,000 --> 00:16:24,100
that have been found in the 
paleomagnetic record. 

263
00:16:24,100 --> 00:16:26,400
The Le sharp Excursion is the 
best documented one. 

264
00:16:26,400 --> 00:16:30,500
It's also one of the more recent
ones are our suggestions of a 

265
00:16:30,500 --> 00:16:34,600
couple more that occurred since 
them, but we don't find a global

266
00:16:34,600 --> 00:16:37,800
extent for these so maybe those 
are things that didn't quite 

267
00:16:37,800 --> 00:16:40,500
even make it. 
To the Excursion status I should

268
00:16:40,500 --> 00:16:47,300
have said that the overall 
strength decays and once the 

269
00:16:47,300 --> 00:16:52,200
dipole strength decays, then the
pieces of the field that I'm not

270
00:16:52,200 --> 00:16:55,800
represented through the dipole 
become more dominant, you could 

271
00:16:55,800 --> 00:16:58,200
think of them as being 
background noise and they 

272
00:16:58,200 --> 00:17:01,500
basically make the field look 
much more complicated during an 

273
00:17:01,500 --> 00:17:03,900
Excursion. 
Do you have a qualitative 

274
00:17:03,900 --> 00:17:07,800
understanding of what's going on
in the core that makes this 

275
00:17:07,800 --> 00:17:10,400
happen? 
The global picture that we have 

276
00:17:10,400 --> 00:17:14,200
no of excursions suggest that 
they're mostly related to the 

277
00:17:14,200 --> 00:17:18,900
loss of dipole strength the 
highest field strength occurs at

278
00:17:18,900 --> 00:17:22,300
high latitudes. 
So we get rapid changes there as

279
00:17:22,300 --> 00:17:26,800
a dipole strength drops, and the
other thing that we think is 

280
00:17:26,800 --> 00:17:31,800
that excursions may be initiated
at low latitudes by the growth 

281
00:17:31,800 --> 00:17:36,100
of reverse flux patches or 
reverse magnetic field at or 

282
00:17:36,100 --> 00:17:41,000
near the core surface and these 
And my great pole words and 

283
00:17:41,000 --> 00:17:43,800
result in a full-scale polarity 
reversal. 

284
00:17:44,800 --> 00:17:49,500
Are there any other qualitative 
findings you see in your Palio 

285
00:17:49,500 --> 00:17:54,300
spatial map? 
Sorry over time varying paleo 

286
00:17:54,300 --> 00:17:56,900
field models. 
I think is what we call of but 

287
00:17:56,900 --> 00:18:01,200
you know one person's model is 
somebody else's idea of reality.

288
00:18:01,600 --> 00:18:06,100
So if we look over the past two 
million years one of the things 

289
00:18:06,100 --> 00:18:11,300
that we see is that on average 
the dipole decays more slowly 

290
00:18:11,700 --> 00:18:14,800
basically on diffusion time 
scales, which are of the order. 

291
00:18:14,800 --> 00:18:20,700
For 30,000 years then it bounces
back and this is a fairly subtle

292
00:18:20,800 --> 00:18:24,500
result in the sense that there's
a lot of variability in the 

293
00:18:24,508 --> 00:18:27,500
dipole moment where it goes up 
and down anyway, but when you 

294
00:18:27,500 --> 00:18:30,500
look at it on long time scales, 
it's decaying more slowly than 

295
00:18:30,500 --> 00:18:35,000
it comes back which suggests 
that in bouncing back the 

296
00:18:35,000 --> 00:18:38,600
convection or the advection of 
the field to produce new field 

297
00:18:38,600 --> 00:18:43,000
is a more important property. 
The other thing that we see is 

298
00:18:43,000 --> 00:18:48,400
that if we look at the long-term
decay of field strength going 

299
00:18:48,400 --> 00:18:54,000
into excursions or reversals 
that those Decay time scales are

300
00:18:54,000 --> 00:18:57,900
of the order of 10 to 15 
thousand years, but the 

301
00:18:57,900 --> 00:19:01,000
directional changes can be much 
more rapid and they can be as 

302
00:19:01,000 --> 00:19:05,400
large as one two, maybe even 10 
degrees per year. 

303
00:19:05,900 --> 00:19:10,700
These are things that we would 
expect to be able to find in the

304
00:19:10,900 --> 00:19:14,600
Core models the numerical models
that people make about the core.

305
00:19:16,000 --> 00:19:19,800
Do these observations sort out 
the models? 

306
00:19:19,800 --> 00:19:24,200
You said it wasn't specifically 
good enough to tell you what the

307
00:19:24,200 --> 00:19:26,500
Ahmed number should be or what 
the rally number should be. 

308
00:19:26,500 --> 00:19:30,800
But does it nonetheless sift out
some models from others infant 

309
00:19:30,800 --> 00:19:31,400
full? 
It does. 

310
00:19:31,800 --> 00:19:36,700
Yes, the simulations are 
numerically precise and they can

311
00:19:36,700 --> 00:19:41,200
be used to predict anything that
we could observe and make into 

312
00:19:41,200 --> 00:19:44,400
our paleomagnetic time-varying 
model. 

313
00:19:44,900 --> 00:19:47,500
But even though they're new. 
Actually precisely not yet, 

314
00:19:47,500 --> 00:19:51,400
universally successful. 
And of course paleo field data 

315
00:19:51,400 --> 00:19:53,800
are messy. 
So we need to be careful about 

316
00:19:53,800 --> 00:19:58,500
demanding precise agreement, but
many simulations do not show 

317
00:19:58,500 --> 00:20:02,300
this asymmetric growth and Decay
rate for the dipole. 

318
00:20:03,100 --> 00:20:07,000
We don't get understand a 
systemic reason for this in fact

319
00:20:07,000 --> 00:20:10,700
because we would like to be able
to find a family of simulations 

320
00:20:10,700 --> 00:20:14,900
that showed it and be able to 
say, ah, yes these simulations 

321
00:20:14,900 --> 00:20:18,800
have an Ahmed number that's 
small enough or energy 

322
00:20:18,800 --> 00:20:20,900
distribution. 
That's the right size. 

323
00:20:21,100 --> 00:20:25,000
We don't yet have a systemic 
reason for this in the numerical

324
00:20:25,000 --> 00:20:28,200
simulations reversals are 
sometimes produced by just 

325
00:20:28,200 --> 00:20:31,100
turning up the Rayleigh number 
which is effectively a mechanism

326
00:20:31,100 --> 00:20:36,100
for increasing the amount of 
energy in the system and tipping

327
00:20:36,100 --> 00:20:38,800
the balance away from dipole 
dominance. 

328
00:20:39,900 --> 00:20:44,600
What we see in the real field at
the earth's surface is a 

329
00:20:44,600 --> 00:20:48,100
decrease in the dipole strength,
but not necessarily an in any 

330
00:20:48,100 --> 00:20:50,600
increase in energy in the rest 
of the field. 

331
00:20:51,000 --> 00:20:54,100
I think the short answer to your
question is this is an area 

332
00:20:54,100 --> 00:20:57,800
where we can expect interesting 
developments as the numerical 

333
00:20:57,800 --> 00:21:00,500
model as find a path to more 
Earth-like conditions. 

334
00:21:01,900 --> 00:21:06,000
So the record that you found 
shows that there were periods 

335
00:21:06,200 --> 00:21:10,000
maybe even extended periods when
the Earth's field more or less 

336
00:21:10,000 --> 00:21:12,700
vanished. 
Does that have an impact on 

337
00:21:12,700 --> 00:21:15,500
life? 
We might imagine that it would 

338
00:21:16,000 --> 00:21:19,600
because it's widely believed 
that a magnetic field is an 

339
00:21:19,600 --> 00:21:23,500
important ingredient for life. 
But actually it seems that we're

340
00:21:23,500 --> 00:21:27,500
OK even during reversals 
development of the human species

341
00:21:27,500 --> 00:21:31,200
has actually occurred over the 
past, you know few. 

342
00:21:31,700 --> 00:21:36,400
Use and it doesn't seem to have 
been detrimental to that 

343
00:21:36,400 --> 00:21:38,900
Evolution. 
What happens is that the Earth's

344
00:21:38,900 --> 00:21:42,800
field creates the magnetosphere 
which holds off the solar wind 

345
00:21:42,800 --> 00:21:47,300
and cosmic rays, which would 
normally be considered damaging 

346
00:21:47,300 --> 00:21:52,400
and potentially carcinogenic and
that's good for the pet that the

347
00:21:52,400 --> 00:21:55,600
field existed is was good for 
the original development and 

348
00:21:55,600 --> 00:22:00,400
existence of the atmosphere 
which is essential to Life as we

349
00:22:00,400 --> 00:22:03,900
know it if we Turn down the 
field today as we would during a

350
00:22:03,908 --> 00:22:07,000
reversal the current atmosphere 
would still be present. 

351
00:22:07,000 --> 00:22:10,900
Even if the magnetosphere was 
very much compressed and smaller

352
00:22:11,500 --> 00:22:14,400
and the atmosphere actually also
plays a strong role now and 

353
00:22:14,400 --> 00:22:17,700
protecting us from cosmic rays. 
So that would survive certainly 

354
00:22:17,700 --> 00:22:18,900
for long enough that it would 
be. 

355
00:22:18,900 --> 00:22:21,300
Okay. 
It's not like on Mars for 

356
00:22:21,300 --> 00:22:24,900
example where the Dynamo died 
out long ago and there is 

357
00:22:24,900 --> 00:22:26,500
essentially no remaining 
atmosphere. 

358
00:22:27,000 --> 00:22:30,700
So you're saying the impact of a
disappearing field might have 

359
00:22:30,700 --> 00:22:33,600
been more severe. 
At the outset when life was just

360
00:22:33,600 --> 00:22:37,100
emerging then it would be now. 
Yes, I think that's true. 

361
00:22:37,500 --> 00:22:40,900
Do we know if the F already had 
a magnetic field billions of 

362
00:22:40,900 --> 00:22:46,000
years ago when in fact life was 
just getting going so the 

363
00:22:46,000 --> 00:22:49,500
earliest widely accepted 
magnetic paleomagnetic field 

364
00:22:49,500 --> 00:22:53,900
records are from about three and
a half billion years ago, and 

365
00:22:53,900 --> 00:22:56,900
the field may have been in 
existence very early in Earth's 

366
00:22:56,900 --> 00:22:58,700
four and a half billion year 
history. 

367
00:22:58,700 --> 00:23:01,500
There are ongoing attempts to 
recover. 

368
00:23:01,600 --> 00:23:05,000
Our records from the world's 
oldest rocks. 

369
00:23:05,700 --> 00:23:08,200
It's widely believed that a 
magnetic field may be an 

370
00:23:08,200 --> 00:23:12,800
important ingredient for Life an
interesting thing that is in 

371
00:23:12,800 --> 00:23:16,700
emerging just recently is that 
the sequencing of some 

372
00:23:17,000 --> 00:23:20,600
modern-day magnetic bacteria so 
bacteria that use the magnetic 

373
00:23:20,600 --> 00:23:25,000
field grow magnetite within 
their bodies and use the 

374
00:23:25,000 --> 00:23:29,400
magnetic field for navigation 
and things like this suggests 

375
00:23:29,400 --> 00:23:31,500
that their genes go back to the 
arc. 

376
00:23:31,700 --> 00:23:34,300
And so the archean is 
two-and-a-half to 

377
00:23:34,300 --> 00:23:36,000
three-and-a-half billion years 
ago. 

378
00:23:36,300 --> 00:23:40,000
So if they were using magnetite 
for the same purpose at that 

379
00:23:40,000 --> 00:23:44,400
time that suggests that studying
of bacteria could actually also 

380
00:23:44,400 --> 00:23:47,700
provide a mechanism for studying
the existence of the magnetic 

381
00:23:47,700 --> 00:23:51,000
field in the past or that's a 
provide supporting evidence for 

382
00:23:51,000 --> 00:23:53,200
the existence of the magnetic 
field in the past. 

383
00:23:54,200 --> 00:23:58,000
For my last question if you had 
unlimited funds for your 

384
00:23:58,000 --> 00:24:00,500
research, what would you use 
them for? 

385
00:24:01,200 --> 00:24:04,500
Okay, I'd like to mention three 
important issues that really 

386
00:24:04,500 --> 00:24:07,700
limit understanding of long-term
field variations. 

387
00:24:08,400 --> 00:24:10,900
The number one thing I would 
like to deal with would be 

388
00:24:10,900 --> 00:24:13,200
improving chronological 
constraints. 

389
00:24:13,700 --> 00:24:16,500
How could we get a better 
measure of the age of these 

390
00:24:16,500 --> 00:24:20,400
paleomagnetic samples when 
they're recording the field so 

391
00:24:20,400 --> 00:24:23,900
that we could make that more 
accurate if we could do that? 

392
00:24:24,100 --> 00:24:26,400
Representations of the field 
would be better. 

393
00:24:26,600 --> 00:24:29,300
We wouldn't be putting a 
measurement of field strength or

394
00:24:29,300 --> 00:24:32,500
Direction at the wrong time when
we reconstruct the field. 

395
00:24:33,000 --> 00:24:37,000
So I would like to make 
everybody have to date every 

396
00:24:37,000 --> 00:24:39,700
paleomagnetic sample. 
They take before they record 

397
00:24:39,700 --> 00:24:42,700
what's going on and more 
importantly I would like them to

398
00:24:42,700 --> 00:24:45,700
focus on samples that can be 
dated very accurately. 

399
00:24:46,000 --> 00:24:50,900
What would that mean in typical 
dating that we use? 

400
00:24:50,900 --> 00:24:53,600
We're relying on radiocarbon 
dating. 

401
00:24:54,100 --> 00:24:58,300
And for that to be a good 
measure of age, we need to know 

402
00:24:58,300 --> 00:25:00,800
what the production rate of 
radio carbon is in the 

403
00:25:00,800 --> 00:25:04,100
atmosphere. 
And that's a limiting factor one

404
00:25:04,100 --> 00:25:07,300
way of getting around that might
be to use something like 

405
00:25:07,300 --> 00:25:11,700
speleothems or vard records 
where in principle you can count

406
00:25:11,700 --> 00:25:15,600
the years and establish a record
going back in time in much the 

407
00:25:15,600 --> 00:25:18,300
same way as one would for a tree
ring chronology. 

408
00:25:18,500 --> 00:25:22,600
What a speedier thumbs involves 
speleothems are basically 

409
00:25:22,600 --> 00:25:25,900
stalagmites or stalactites. 
Tights that grow in caves and if

410
00:25:25,900 --> 00:25:28,700
you've ever been inside a cave 
you might have seen that they 

411
00:25:28,700 --> 00:25:33,500
have these annual layers related
to the seasonal feeding of the 

412
00:25:33,500 --> 00:25:37,700
carbonate that forms a structure
and that record if you can 

413
00:25:37,700 --> 00:25:42,200
establish the age and magnetic 
record within the stalagmite 

414
00:25:42,200 --> 00:25:46,600
could allow you to get a very 
fine scale temporal record of 

415
00:25:46,600 --> 00:25:49,600
what's going on in the magnetic 
field and principle. 

416
00:25:49,600 --> 00:25:55,000
It could be annual resolution. 
Now valve records come from 

417
00:25:55,000 --> 00:25:59,600
sediments with annual layering 
due to changing seasonal input 

418
00:25:59,600 --> 00:26:03,800
to the sediment and there are 
especially prevalent in glacial 

419
00:26:03,800 --> 00:26:07,000
or sometimes in tropical regions
subtropical regions. 

420
00:26:07,000 --> 00:26:11,100
Basically, you can count the 
layers back in time and perhaps 

421
00:26:11,100 --> 00:26:15,000
get a very accurate record of 
the time evolution of the field 

422
00:26:15,000 --> 00:26:20,000
and pair that with the magnetic 
record which makes for a much 

423
00:26:20,000 --> 00:26:24,700
better kind of data than That is
not accurately dated. 

424
00:26:25,000 --> 00:26:29,000
So that would be my first thing 
so my second thing and being 

425
00:26:29,000 --> 00:26:30,300
quite greedy here. 
Actually. 

426
00:26:30,600 --> 00:26:34,900
I also want to have better 
spatial temporal sampling and 

427
00:26:34,900 --> 00:26:38,600
uncertainty estimates for the 
records that people get so that 

428
00:26:38,600 --> 00:26:41,500
needs meat more field programs. 
So I want to send people out to 

429
00:26:41,500 --> 00:26:45,100
collect more stuff so that we 
have more records and better 

430
00:26:45,100 --> 00:26:48,800
Global and temporal coverage 
than we have at the moment and 

431
00:26:48,800 --> 00:26:52,200
the third thing I would put my 
money into would be more 

432
00:26:52,200 --> 00:26:54,100
concentrated. 
Aunt rated effort in the 

433
00:26:54,100 --> 00:27:00,400
numerical modeling to understand
whether we can get close enough 

434
00:27:00,400 --> 00:27:05,500
to the right parameter regime to
believe that we understand 

435
00:27:05,500 --> 00:27:09,000
what's going on with the 
dominant physical processes in 

436
00:27:09,000 --> 00:27:10,800
the court. 
First of all, we need to improve

437
00:27:10,800 --> 00:27:13,900
the Paleo field records so that 
we can build a better view of 

438
00:27:13,900 --> 00:27:18,500
what we want to reproduce within
numerical simulations and then 

439
00:27:18,500 --> 00:27:22,500
the numerical simulations have 
to figure out how to get across 

440
00:27:22,900 --> 00:27:27,200
Several orders of magnitude 
difficulty in not being able to 

441
00:27:27,200 --> 00:27:30,500
simulate the Ackman number Kathy
Constable. 

442
00:27:30,600 --> 00:27:32,500
Thank you very much. 
Thank you. 

443
00:27:32,500 --> 00:27:35,800
It was a pleasure for more about
geology bites as well as 

444
00:27:35,800 --> 00:27:38,800
pictures and diagrams that 
illustrate this podcast. 

445
00:27:39,200 --> 00:27:41,400
You can go to geology bites.com.
