hi everyone um so this video is gonna Center on a really cool data set that
was collected at lone star geyser in Yellowstone in years 2010 and 2014 and
so this right here is the geyser cone and what I am overlaying here is a
representation of what the subsurface can you pause this for a second
alright thanks pause thanks okay so this is a representation of what the
subsurface plumbing system looks like beneath the geyser or what we think it
looks like and the main thing to take away is that there is this cavity that's
offset from the vent and that's we think that's important because it allows for
gas and pressure to build up in the system which then leads to these
episodic eruptions you're good so guy lone star geyser is like many other
geysers and that it erupts with remarkable regularity so this is what
the cycles look like it's showing 10 hours of data and three eruption cycles
so at the top here this is the temperature at the vent which is a proxy
for the amount of water discharged so an eruption you can tell that there's an
eruption by this broad peak up here and so you can see that there are these
three eruptions in the middle I'm showing the location of the hydrothermal
tremor, so tremor in geyser systems is thought to reflect bubble nucleation or
collapse and so we see that there's this sort of persistent location of tremor
during the cycle and then just before an eruption the tremor will migrate towards
the guys event and this persistent location corresponds to that bubble
cavity that I showed earlier and then on the bottom we have tilt data so this is
showing you how the ground is deforming and that's maybe reflecting the motion
of subsurface fluids during the eruption great so these time series graphs are
kind of hard to always to figure out the relationship between different hang-up
okay so sometimes it can be difficult to understand the relationships between
different data types when you're just looking at these time series graphs and
so we're gonna look at a different way of understanding that data using data
movies that make use of sound as well as visuals to try and understand the
relationships between different data types thank you so this is the key
that's going to show us what the movie is looks like
so that's the water discharge or the temperature at the vent
no just turn it down a bit that sound
okay great so so now that you guys know what the different sounds and visuals
are corresponding to now we're going to put it all together and listen to three
eruption cycles in 2010 and then three eruption cycles in 2014
okay so we wanted to look at how stable this kind of system is over the course
of from 2010 to 2014 so now I'm going to play those two videos side by side so
that you can sort of directly compare how the eruptions line up between the
different years
all right um so it's really remarkable that I don't know if you guys could pick
out the eruptions when they were happening but between both of the years
the second eruption happens at exactly the same time between the years but then
it's it's also interesting that the last eruption of 2010 seems delayed relative
to the eruption in 2014 so there is something that's making these eruptions
extremely regular but then there is also the ability to modulate that regularity
and delay some eruptions so now one other question that comes out of these
movies is that even though the eruptions happen very regularly the pre-play so
there's sort of surges in activity just before the eruptions those were really
irregular and they seemed to happen at completely random times in the different
years and the different eruption cycles so that's another question is what's
what's causing the eruptions to be so regular even though the sort of lead-up
activity seems to be very irregular so I'm for the final movie we're gonna zoom
in on just one eruption cycles so that we can listen to the details of the
eruption cycle yeah
this is that pre-play that I was talking about
and this is the eruption
thanks very much everyone if anyone has any