Europe’s power grid has a big drought problem
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Updates every hour. Last Updated: 17-Jun-2026 17:15 ET (17-Jun-2026 21:15 GMT/UTC)
Scientists at the European Centre for Medium-Range Weather Forecasts have unveiled a machine learning technique that pinpoints optimal locations for tree planting, offering a powerful tool for climate mitigation.
Urban emissions of methane—a potent greenhouse gas—are rising faster than "bottom-up" accounting estimates anticipated, according to a study led by University of Michigan Engineering and funded by NASA and the National Institute of Standards and Technology.
As humans break up forests and fragment habitats, it’s not just species that are lost but also the way ecosystems work, a new study finds. A paper recently published in Ecology Letters compares how mammals are connected through food webs – meaning who eats who or what – in 127 protected areas across Africa. It’s the first study to compare food web similarity at a continental scale.
Rising living costs, energy insecurity, widening inequality, and escalating climate impacts are fueling discussions on fairness and justice in climate policy. Yet, assumptions in global emission scenarios that determine who benefits and who bears the costs are often only made implicitly. A new IIASA-led study addresses this gap by offering a practical way to assess and design emission scenarios that explicitly account for distributive justice.
New evidence shows melt ponds in the northern parts of the Arctic may be biological sources of ice-nucleating particles, a key ingredient for cloud formation that has been largely overlooked.
As climate change intensifies and global food security faces pressures, accurate monitoring of crop phenology—especially sowing dates—has become critical for optimizing agricultural management and improving climate resilience. Winter wheat, a staple crop supporting nearly 40% of the global population, relies heavily on timely sowing to maximize yield potential. However, traditional monitoring methods such as field surveys are labor-intensive and unscalable, while existing remote sensing approaches suffer from soil background interference and static environmental data limitations.