Antarctic expedition reveals why Southern Ocean clouds remain one of climate science's greatest challenges
Peer-Reviewed Publication
Updates every hour. Last Updated: 20-Oct-2026 05:16 ET (20-Oct-2026 09:16 GMT/UTC)
The Southern Ocean is one of Earth's most important climate regulators, yet the clouds covering this remote region remain among the least understood features in atmospheric science. Their influence on the planet's energy balance makes accurate cloud representation essential for reliable weather forecasts and climate projections. A new study combines observations from an Antarctic expedition with advanced atmospheric datasets and climate models to investigate the processes behind this long-standing challenge in climate science.
For decades, scientists have studied iron preserved in ancient rocks to reconstruct how Earth’s oceans and atmosphere became rich in oxygen. A new study suggests iron has recorded other major transformations too. Michigan State University research Dalton Hardisty and colleagues found that changes in Earth’s iron record also reflect the building of mountains and the rise of land plants.
If global emissions continue unchecked, rising temperatures and shifting rainfall patterns could amplify tree pests and diseases across more than 80 per cent of North American forests within decades, jeopardizing critical carbon sinks, air quality and the forestry economy.
This is the key finding of a new UBC-led study published today in Nature Ecology & Evolution. The researchers found that insects pose the more immediate threat, with more than 60 per cent of the areas examined projected to experience 30 per cent more insect pressure by mid-century. Species like the spongy moth, already wreaking havoc in Canadian forests, could expand significantly in eastern North America by mid-century.
In a paper published in SCIENCE CHINA Earth Sciences, researchers quantified the cumulative heatwave exposure of different birth cohorts and regions in China over their lifetimes. The study reveals that younger generations face substantially higher lifetime heatwave exposure, while regions with lower economic development experience a mismatch between increasing climate hazards and limited adaptive capacity. These findings help reveal how lifetime heatwave exposure is distributed across generations and regions and provide a basis for designing targeted adaptation strategies.
A University of Miami-led study found that artificial intelligence can complement traditional weather models by offering useful guidance Atlantic tropical cyclones several days before they form.
Coastal residents may be worried about exposure to forever chemicals from sea spray during hot summer months, but York University researchers found there was little evidence of per- and polyfluoroalkyl substances (PFAS) contamination from marine aerosols, a finding that surprised them. The study looked specifically at areas impacted by sea spray from the Atlantic Ocean generated by waves breaking on the coast of Newfoundland and Labrador, however, despite its windy, marine location they found it was not an issue as previously thought.
In a paper published in SCIENCE CHINA Earth Sciences, researchers at Sun Yat-sen University developed an SFA-based Climate Prediction (SCP) method, which directly extracted slow-varying predictable signals from observed precipitation data and applied it to seasonal prediction of summer precipitation over South China. Independent forecasts for 2011–2022 show that the SCP method achieves a regional mean temporal correlation coefficient of 0.36 and accurately predicted the sign of regional-mean precipitation anomalies in 10 of 12 summers, outperforming two dynamical models and a hybrid dynamical–statistical prediction system. The study provides a new perspective to identifying potentially predictable signals and improving regional seasonal precipitation prediction.