Detail of a photo: Large angular boulder beside a shallow pebbly stream in a grassy mountain valley, below steep forested slopes and rocky peaks under a dramatic blue sky, in heavily processed colours.
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120 years of the ‘Greenhouse Effect’

120 years of the ‘Greenhouse Effect’

120 years ago in 1901, Swedish meteorologist Nils Ekholm used the term ‘greenhouse’ to describe the heating effect that a planet’s atmosphere has on the surface temperature of the planet, the first time that this now much-used and abused metaphor was published. He wrote: “The atmosphere plays a very important part of a double character …[Read More]

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Thermodynamics and Geodynamics: The perfect couple?

till heat death do us part?

In preparation for Valentines day, Bob Myhill explores the potential for close partnership (and even love?) between the geodynamics and thermodynamics communities. Much of Earth and planetary science relies in some way on thermodynamics. This is not a surprise; the elegance1 of its premises makes thermodynamics a robust starting point for many investigations, and the …[Read More]

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Earthquake Watch December: Petrinja Mw 6.4

Earthquake Watch December: Petrinja Mw 6.4

What we know On December 29, a strong earthquake Mw 6.4 hit Petrinja at 12:20 CET, a town located in Central Croatia. This event is the largest onshore earthquake rupture in Central Europe since the M 6.5 Norcia earthquake occurred in 2016 (e.g. Scognamiglio, 20181) which killed 299 persons and 4,500 became homeless. Recent reports …[Read More]

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Features from the Field: Shear Zones and Mylonites

Features from the Field: Shear Zones and Mylonites

The San Andreas Fault in California, the Alpine Fault in New Zealand, or the Main Frontal Thrust in the Himalayas are some of the most famous and largest fault zones that accommodate the relative displacement between two adjacent crustal blocks. Such faults, however, represent only the shallower expression of something much bigger: a crustal shear …[Read More]

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Advances in earthquakes forecasting pass through machine learning

Advances in earthquakes forecasting pass through machine learning

In today’s interview, we meet Dr Fabio Corbi, a researcher at IGAG-CNR, the Institute of Environmental Geology and Geoengineering of the Italian National Research Council. Fabio has experience in analogue modelling of megathrust earthquakes and he is currently exploring the potentiality of machine learning in this research field. Hi Fabio, would you briefly tell us …[Read More]