Dr Eric Breard

@pdcguy.bsky.social

Volcanologist at the University of Edinburgh

On X, Masaki Nobushiro posts a recurring (and useful) drawing about how people wrongly think a 1m tsunami is a cresting wave when it's actually a wall of water filled with dangerous and deadly debris that's strong enough to sweep up a car. #tsunami

X post by @nobushiromasaki. JP text: カムチャッカ半島付近の大地震(M8.0)による津波、日本各地にも1m程度の津波が来るという注意報が出てる。侮らないで。1mは、ふつうに自動車が流されるレベルです。画像は拾い物だけど、これが本当だから。沿岸地域の方、特に気をつけて!

In this PhD work Chris Harper investigated thin-layer stability (i.e., why a granular flow friction depends on its scale when the flow thickness is /10*characteristic diameter), which makes levees in most geophysical flows and is a process observed even in frictionless systems! #granularflows

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On this day in 1902, Montagne Pelée (Martinique) unleashed pyroclastic flows that killed over 28,000 people. That tragedy gripped me as a child and led me to volcanology. After more than a decade studying PDCs, I’ve received on this day my permanent faculty post at Edinburgh to continue the journey.

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With geoscientists keeping a close eye on the seismicity around Santorini over the past couple of weeks, this work by the BGS using machine learning to enhance detection & short-term forecasting for advising emergency services & at-risk communities is fascinating: www.bgs.ac.uk/news/artific...

Artificial intelligence is proving a game changer in tracking the Santorini earthquake swarm - British Geological Survey

An online tool that shows which roads are most likely to cause river pollution is being expanded to assess pollution from agricultural areas.

bgs.ac.uk

I've been encountering over the past few days the claim that the planet is warming twice as fast as predicted. This is entirely untruthful and unhelpful. The planet is warming AS fast as predicted, which is cause enough for dramatic action. The truth is bad enough!

Comparison of model-predicted and observed global surface temperatures by Zeke Hausfather

🚨BREAKING. From a program officer at the National Science Foundation, a list of keywords that can cause a grant to be pulled. I will be sharing screenshots of these keywords along with a decision tree. Please share widely. This is a crisis for academic freedom & science.

list of banned keywords