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Getting ahead of tsunamis

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Manage episode 497596895 series 3534510
Content provided by BBC. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BBC or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
After most of the population of the Pacific rim sought higher ground this week, we speak with the architect of the tsunami warning technology. Also how aging Killifish might help us probe our senior moments.
This week, an M8.8 earthquake near Kamchatka in the western pacific led to tsunami evacuation alerts thousands of miles away. Seismologist Judith Hubbard was writing about the area in the days leading up to it, following a M7.4 event 9 days before, which we now know to categorize as a foreshock. As she says, it’s these subduction zones between tectonic plates that give out the most energy, produce the biggest quakes, leading to the worst tsunamis.
The Tsunami alarms were based on modelling developed by Vasily Titov of NOAA’s Pacific Marine Environmental Laboratory in Seattle. Having studied these phenomena for many decades, he describes the fine balance between the potential accuracy of a prediction, and the practical actionable advice authorities need to give out to save as many lives as possible.
Finally, how can a short-lived African freshwater fish help scientists studying senescence? Stanford’s Judith Frydman and colleagues publish this week a study in Science that finds Killifish’s brain cells’ ability to encode proteins degrades with age, in keeping with similar patterns of older human brains. Because Killifish have such brief life cycles, yet seem to follow the brain cycles of most vertebrates, they provide an ideal model species from which to find out more, as she explains.
Presenter: Roland Pease
Producer: Imaan Moin and Alex Mansfield
Production Coordinator: Jana Holesworth
(Image Credit: Vasily Titov PMEL/NOAA)
  continue reading

796 episodes

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Getting ahead of tsunamis

BBC

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Manage episode 497596895 series 3534510
Content provided by BBC. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BBC or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
After most of the population of the Pacific rim sought higher ground this week, we speak with the architect of the tsunami warning technology. Also how aging Killifish might help us probe our senior moments.
This week, an M8.8 earthquake near Kamchatka in the western pacific led to tsunami evacuation alerts thousands of miles away. Seismologist Judith Hubbard was writing about the area in the days leading up to it, following a M7.4 event 9 days before, which we now know to categorize as a foreshock. As she says, it’s these subduction zones between tectonic plates that give out the most energy, produce the biggest quakes, leading to the worst tsunamis.
The Tsunami alarms were based on modelling developed by Vasily Titov of NOAA’s Pacific Marine Environmental Laboratory in Seattle. Having studied these phenomena for many decades, he describes the fine balance between the potential accuracy of a prediction, and the practical actionable advice authorities need to give out to save as many lives as possible.
Finally, how can a short-lived African freshwater fish help scientists studying senescence? Stanford’s Judith Frydman and colleagues publish this week a study in Science that finds Killifish’s brain cells’ ability to encode proteins degrades with age, in keeping with similar patterns of older human brains. Because Killifish have such brief life cycles, yet seem to follow the brain cycles of most vertebrates, they provide an ideal model species from which to find out more, as she explains.
Presenter: Roland Pease
Producer: Imaan Moin and Alex Mansfield
Production Coordinator: Jana Holesworth
(Image Credit: Vasily Titov PMEL/NOAA)
  continue reading

796 episodes

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