Improved catalyst turns harmful greenhouse gases into cleaner fuels, chemical feedstocks
Peer-Reviewed Publication
Updates every hour. Last Updated: 25-Apr-2025 19:08 ET (25-Apr-2025 23:08 GMT/UTC)
A chemical reaction can convert two polluting greenhouse gases into valuable building blocks for cleaner fuels and feedstocks, but the high temperature required for the reaction also deactivates the catalyst. A team led by the Department of Energy’s Oak Ridge National Laboratory has found a way to thwart deactivation. The strategy may apply broadly to other catalysts.
The cost of reversing the effects of climate change—restoring melted polar sea ice, for example—quickly climbs nearly fourfold soon after a tipping point is crossed, according to new work publishing in the journal npj Climate and Atmospheric Science on Tuesday, Nov. 26. Much work has been done to explore the environmental costs tied to climate change. But this new study marks the first time researchers have quantified the costs of controlling tipping points before and after they unfold.
Dark ovals in Jupiter's polar haze, visible only at UV wavelengths, were first noticed 25 years ago, then ignored. A UC Berkeley study shows that these dark UV ovals are common, appearing at the south pole in 75% of Hubble Space Telescope images taken since 2015. They appear less often at the north pole. The scientists theorize that a magnetic vortex generated in the ionosphere stirs up and concentrates the hydrocarbon haze that blankets the poles.
A recent study found that dust from snow- and ice-free areas of the Arctic could be an important contributor to climate change in the region. Higher levels of dust help promote the formation of ice crystals in the clouds, which weakens the efficiency of clouds to contain more liquid droplets and fewer ice crystals by Arctic warming.
Osaka Metropolitan University researchers propose a new method to generate meteorological data that takes into account the interdependence of meteorological factors, such as temperature, humidity, and solar radiation.
With help from AI, MIT scientists developed a method that generates satellite imagery from the future to depict how a region would look after a potential flooding event.