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.