Virginia Tech geoscientists demonstrate how satellite data can help us understand how rivers and streams move sediment and shape the Earth's surface.

A team of researchers led by the University of Plymouth have earned £3.7million from UK Research and Innovation to conduct an unprecedented assessment of the response and resilience of deep sea coral ecosystems. The five-year project will be delivered in collaboration with organisations across the Maldives, Seychelles and Mauritius and will focus on coral reefs below the surface of the Indian Ocean, employing a number of methods to assess their vulnerability to climate change.

As of now, tank trucks in Mannheim can for the first time load fuel blends that not only contain bioethanol—common in the familiar E10 and E5 grades—but also other renewable components such as electricity-based fuels or biogenic fuels, known as reFuels. A new pilot plant at the tank farm of Exolum Mannheim GmbH flexibly mixes the required proportions and documents the greenhouse gas savings digitally for every delivery. Karlsruhe Institute of Technology (KIT) provides scientific support for the construction of the plant

The remnants of ice that was attached to the coast offer astounding insights into the climate history of past millennia. An international research team led by the CNR Institute of Polar Sciences (Italy) and involving the University of Bonn has applied a groundbreaking method. This uses sediment drill cores to show the climate history of the past 3,700 years in Antarctica. Surprisingly, this is connected to the natural fluctuations in solar activity. The study has now been published in the journal Nature Communications. 

Researchers developed ShapKAN, a deep learning model integrated into the AI4Min-PE platform (http://pe.ai4mineral.com), enabling instant prediction and visualization of key thermodynamic parameters up to 500 GPa. This open AI tool supports the discovery of new chemical behaviors of minerals and elements under extreme conditions.

In a study published in Earth and Planetary Physics, researchers analyzed atmospheric gravity wave (AGW) events observed in Dandong (northeastern China) and Lhasa (Tibetan Plateau) between 2015–2017. Using machine learning and ray-tracing methods, the team found significant differences in wave parameters and wave sources, driven by distinct geographical conditions and wind-filtering effects.