Scientists from Switzerland and Germany have described a new ichthyosaur species from Upper Franconia, Germany. Named Eurhinosaurus mistelgauensis after the fossil-rich clay pit of Mistelgau, the discovery is based on specimens excavated and curated by the Urwelt-Museum Oberfranken, which has conducted regular fieldwork at the site since 1998.

UC Riverside researchers have discovered a piece that was missing in previous descriptions of the way Earth recycles its carbon. As a result, they believe that global warming can overcorrect into an ice age.  

By integrating 13 published speleothem δ¹⁸O records from the East Asian summer monsoon (EASM) region, this study systematically analyzed the spatio-temporal characteristics of the 8.2 (8.7–7.7) and 4.2 (4.7–3.7) ka BP abrupt climate events. The results indicate that both the temporal resolution and geographical location significantly affect the ability of the stalagmite δ¹⁸O sequences to record the 8.2 and 4.2 ka BP events. During the 8.2 ka BP event, δ¹⁸O records from both northern and southern sites showed pronounced positive excursions, whereas during the 4.2 ka BP event, δ¹⁸O records from the north and south exhibited contrasting patterns. These findings provide important evidence for understanding the mechanisms of abrupt climate change and for assessing regional climate sensitivity. The related results were published in Science China: Earth Sciences, Issue 9, 2025.

Typhoons and their Atlantic counterparts—hurricanes—can develop into massively destructive storms that can take a severe toll on both infrastructure and human life. To date, collecting in situ tropical cyclone data has been too dangerous and cost prohibitive to routinely collect on a larger scale. Researchers have just developed a submersible vehicle, the “Blue Whale,” designed to withstand the adverse conditions of these storms and collect the in situ data necessary for more accurate typhoon intensity forecasts and marine condition warnings.

The article examines how machine learning is revolutionizing igneous petrology and volcanology by automating tasks, enhancing models, and accelerating discoveries. At the same time, the authors warn of key challenges, including the need to understand what models actually learn and to ensure transparency, reproducibility, and interpretability. These concerns are especially critical for volcanic hazard assessment and crisis management. The study also addresses ethical risks and reviews evolving policies in the EU, US, and China.