New study about the ‘tsunami’ in Venus’s clouds

A group of scientists from the University of Seville, in collaboration with experts from the University of the Basque Country, has led the first detailed study of the evolution of the discontinuity of Venus’s clouds, a gigantic atmosphere wave with the appearance of a “tsunami” that is propagated in the planet’s deepest clouds and which, it is believed, may be playing a very significant role in the acceleration of Venus’s fast-moving atmosphere.

Hot topic – how heat flow affects the Earth’s magnetic field

The magnetic field radiates around the world and far into space, but it is set by processes that happen deep within the Earth’s core, where temperatures exceed 5,000-degress C. New research from geophysicists at the University of Leeds suggests that the way this super-hot core is cooled is key to understanding the causes of the peculiarities – or anomalies, as scientists call them – of the Earth’s magnetic field.

Drones used to locate dangerous, unplugged oil wells

There are millions of unplugged oil wells in the United States, which pose a serious threat to the environment. Using drones, researchers from Binghamton University, State University of New York have developed a new method to locate these hard-to-locate and dangerous wells.

High-impact research: How meteorite strikes may change quartz on the Earth’s surface

Scientists using a unique combination of capabilities at the Advanced Photon Source have learned more about how meteorites affect one of the most abundant materials in the Earth’s crust.

Stocks of vulnerable carbon twice as high where permafrost subsidence is factored in, new research finds

Northern Arizona University researchers Elaine Pegoraro, Christina Schädel, Emily Romano, Meghan Taylor and Ted Schuur collaborated on the study, which suggests that traditional methods of permafrost thaw measurement underestimate the amount of previously-frozen carbon unlocked from warming permafrost by more than 100 percent.

Researchers use drones, machine learning to detect dangerous ‘butterfly’ landmines

Using advanced machine learning, drones could be used to detect dangerous “butterfly” landmines in remote regions of post-conflict countries, according to research from Binghamton University, State University at New York.