The rise of plant life changed how rivers move, Stanford study shows
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Updates every hour. Last Updated: 8-Sep-2025 17:11 ET (8-Sep-2025 21:11 GMT/UTC)
A research team led by a Ph.D. student at the University of Miami Rosenstiel School of Marine, Atmospheric, and Earth Science has developed a new artificial intelligence (AI) tool that can automatically identify and track tropical easterly waves (TEWs)—clusters of clouds and wind that often develop into hurricanes—and separate them from two major tropical wind patterns: the Intertropical Convergence Zone (ITCZ) and the monsoon trough (MT).
A study of social media posts in 157 countries finds extreme temperatures of 95 degrees Fahrenheit or more lowers daily sentiment by around 25 percent in lower-income countries and about 8 percent in higher-income countries.
JapanFlux2024 is Asia’s first large-scale open dataset of eddy covariance observations, compiled by Japanese researchers. Covering 83 sites across East and Southeast Asia, it tracks carbon, water and energy exchange in terrestrial ecosystems. The dataset fills a regional information gap and supports climate, land-use and carbon cycle research.
Identifying a mineral might sound straightforward: analyze its chemistry, compare it to known minerals and voilà. But for geologists, this process can be a time-consuming puzzle requiring specialized expertise and a lot of manual calculation. Now, a team of researchers at Rice University’s Department of Earth, Environmental and Planetary Sciences has developed MIST — Mineral Identification by Stoichiometry — the first online tool capable of automatically identifying hundreds of different mineral species from their chemical composition using a carefully designed rules-based algorithm.