Major changes to the Sahara Desert 8,000 years ago uncovered by Moroccan stalagmites
Peer-Reviewed Publication
Updates every hour. Last Updated: 24-Apr-2025 22:08 ET (25-Apr-2025 02:08 GMT/UTC)
Analysis of stalagmite samples from caves in southern Morocco has provided new insights into rainfall patterns in the Sahara Desert in the past. Researchers from the University of Oxford and the Institut National des Sciences de l’Archéologie et du Patrimoine have discovered that rainfall in the desert increased between 8,700 and 4,300 years ago, which had a major impact on ancient herding societies. The study is available to read in the journal Earth and Planetary Science Letters.
Researchers found that vegetation in a section of central L.A. offsets a surprising 60% of fossil fuel emissions (CO2), particularly during the growing season. The first-of-its-kind study used a dense array of air-quality sensors to track carbon emissions and absorption in real time, providing a more detailed picture than traditional methods. The findings suggest that expanding urban greenery could play a bigger role in reducing the city’s carbon footprint than previously thought. The USC-led approach could serve as a model for other cities aiming to monitor and cut emissions.
Using the James Webb Space Telescope, astronomers investigate the extreme weather patterns and atmospheric properties of exoplanet LTT 9779 b. New JWST observations with NIRISS reveal a dynamic atmosphere: powerful winds sweep around the planet, shaping mineral clouds as they condense into a bright, white arc on the slightly cooler western side of the dayside. As these clouds move eastward, they evaporate under the intense heat, leaving the eastern dayside with clear skies.
A newly operational model, known as the Artificial Intelligence Forecasting System (AIFS), has been launched by the European Centre for Medium-Range Weather Forecasts (ECMWF), an intergovernmental centre and leader in numerical weather prediction. For many measures including tropical cyclone tracks, the AIFS outperforms state-of-the-art physics-based models, with gains of up to 20%. This high accuracy model complements the portfolio of ECMWF's physics-based models, advancing numerical weather prediction, and leverages the opportunities made available by machine learning (ML) and artificial intelligence (AI), such as increased speed and a reduction of approximately 1,000 times in energy use for making a forecast.
Ethylene oxide is a “platform chemical” with a $40 billion annual worldwide market used in the production of plastics, textiles and many other common products. Tufts University chemists discovered an inexpensive way to reduce CO2 emissions and decrease the need for chlorine to produce the chemical.
A new study reconstructing extreme rainfall in Arabia has uncovered that rainfall in the region was five times more extreme just 400 years ago, highlighting the need for preparedness amid growing urbanization.